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..._m_sim_p_m_t_response_1_1_p_m_t_pulse.html | 2 +- struct_optical_layer_result-members.html | 2 +- struct_optical_layer_result.html | 2 +- struct_photon_info-members.html | 2 +- struct_photon_info.html | 2 +- struct_s_n_event_stats-members.html | 2 +- struct_s_n_event_stats.html | 2 +- ...ector_component_1_1_component-members.html | 2 +- ...tabc_detector_component_1_1_component.html | 2 +- structeffective_area_result-members.html | 2 +- structeffective_area_result.html | 2 +- ...ude_2_o_m_sim_event_action_8hh_source.html | 2 +- ...ude_2_o_m_sim_physics_list_8hh_source.html | 2 +- ...m_primary_generator_action_8hh_source.html | 2 +- todo.html | 2 +- 567 files changed, 667 insertions(+), 638 deletions(-) create mode 100644 rel_de.png diff --git a/5__group__definitions_8h_source.html b/5__group__definitions_8h_source.html index d8f5aebd99..04bbf20a9d 100644 --- a/5__group__definitions_8h_source.html +++ b/5__group__definitions_8h_source.html @@ -123,7 +123,7 @@ diff --git 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diff --git a/_o_m_sim__supernova_8cc.html b/_o_m_sim__supernova_8cc.html index 396ce5e7d7..dad8bb62c6 100644 --- a/_o_m_sim__supernova_8cc.html +++ b/_o_m_sim__supernova_8cc.html @@ -156,7 +156,7 @@ diff --git a/_o_m_sim_action_initialization_8hh_source.html b/_o_m_sim_action_initialization_8hh_source.html index 03c0d7f937..8ac743271b 100644 --- a/_o_m_sim_action_initialization_8hh_source.html +++ b/_o_m_sim_action_initialization_8hh_source.html @@ -139,7 +139,7 @@ diff --git a/_o_m_sim_angular_scan_8hh.html b/_o_m_sim_angular_scan_8hh.html index c8815f08b0..10d9554316 100644 --- a/_o_m_sim_angular_scan_8hh.html +++ b/_o_m_sim_angular_scan_8hh.html @@ -148,7 +148,7 @@ diff --git a/_o_m_sim_angular_scan_8hh_source.html b/_o_m_sim_angular_scan_8hh_source.html index 371b974cdb..400aaa4270 100644 --- a/_o_m_sim_angular_scan_8hh_source.html +++ b/_o_m_sim_angular_scan_8hh_source.html @@ -156,7 +156,7 @@ diff --git a/_o_m_sim_beam_8hh_source.html b/_o_m_sim_beam_8hh_source.html index 124425d296..26efa4c362 100644 --- a/_o_m_sim_beam_8hh_source.html +++ b/_o_m_sim_beam_8hh_source.html @@ -156,7 +156,7 @@ diff --git a/_o_m_sim_command_args_table_8hh.html b/_o_m_sim_command_args_table_8hh.html index 57c8f3d963..bc1b142bff 100644 --- a/_o_m_sim_command_args_table_8hh.html +++ b/_o_m_sim_command_args_table_8hh.html @@ -204,7 +204,7 @@

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diff --git a/classm_d_o_m_harness-members.html b/classm_d_o_m_harness-members.html index eef1c68e99..eaf6b20d7b 100644 --- a/classm_d_o_m_harness-members.html +++ b/classm_d_o_m_harness-members.html @@ -179,7 +179,7 @@ diff --git a/classm_d_o_m_harness.html b/classm_d_o_m_harness.html index 7845c2940f..313f524822 100644 --- a/classm_d_o_m_harness.html +++ b/classm_d_o_m_harness.html @@ -350,7 +350,7 @@

  • mDOMHarness
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/classm_d_o_m_p_m_t_response-members.html b/classm_d_o_m_p_m_t_response-members.html index 53e7dbaf47..39561735b7 100644 --- a/classm_d_o_m_p_m_t_response-members.html +++ b/classm_d_o_m_p_m_t_response-members.html @@ -156,7 +156,7 @@ diff --git a/classm_d_o_m_p_m_t_response.html b/classm_d_o_m_p_m_t_response.html index 332bc9abe3..bc9491f8b9 100644 --- a/classm_d_o_m_p_m_t_response.html +++ b/classm_d_o_m_p_m_t_response.html @@ -238,7 +238,7 @@ diff --git a/classp_d_o_m-members.html b/classp_d_o_m-members.html index 566b7a2173..7a46836e05 100644 --- a/classp_d_o_m-members.html +++ b/classp_d_o_m-members.html @@ -171,7 +171,7 @@ diff --git a/classp_d_o_m.html b/classp_d_o_m.html index 8a4be84552..1c3ccf779c 100644 --- a/classp_d_o_m.html +++ b/classp_d_o_m.html @@ -357,7 +357,7 @@

  • pDOM
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000002_000005.html b/dir_000002_000005.html index b4eaa78488..527dac7e70 100644 --- a/dir_000002_000005.html +++ b/dir_000002_000005.html @@ -118,7 +118,7 @@

geometry_construction → framework Relation

  • common
  • geometry_construction
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000003_000004.html b/dir_000003_000004.html index b2f6b3e703..dc7eea61f3 100644 --- a/dir_000003_000004.html +++ b/dir_000003_000004.html @@ -118,7 +118,7 @@

src → include Relation

  • common
  • geometry_construction
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000003_000005.html b/dir_000003_000005.html index ccf3d00876..856afaa5ce 100644 --- a/dir_000003_000005.html +++ b/dir_000003_000005.html @@ -118,7 +118,7 @@

src → framework Relation

< diff --git a/dir_000004_000005.html b/dir_000004_000005.html index 6203f6f076..553771cfa6 100644 --- a/dir_000004_000005.html +++ b/dir_000004_000005.html @@ -118,7 +118,7 @@

include → framework Relation

diff --git a/dir_000006_000007.html b/dir_000006_000007.html index 4a6a5c952e..0cfccb873c 100644 --- a/dir_000006_000007.html +++ b/dir_000006_000007.html @@ -118,7 +118,7 @@

src → include Relation

  • common
  • framework
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000009_000001.html b/dir_000009_000001.html index a47fc5c62f..fed5223225 100644 --- a/dir_000009_000001.html +++ b/dir_000009_000001.html @@ -118,7 +118,7 @@

effective_area → common Relation

  • simulations
  • effective_area
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000009_000014.html b/dir_000009_000014.html index 9d7e2f6370..efd4c722b1 100644 --- a/dir_000009_000014.html +++ b/dir_000009_000014.html @@ -118,7 +118,7 @@

effective_area → include Relation

  • simulations
  • effective_area
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000010_000001.html b/dir_000010_000001.html index 6e45e48eab..e4bda2d91d 100644 --- a/dir_000010_000001.html +++ b/dir_000010_000001.html @@ -118,7 +118,7 @@

efficiency_calibration → common Relation

diff --git a/dir_000011_000001.html b/dir_000011_000001.html index 5f62f5eee4..7f534e8a1f 100644 --- a/dir_000011_000001.html +++ b/dir_000011_000001.html @@ -118,7 +118,7 @@

radioactive_decays → common Relation

  • simulations
  • radioactive_decays
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000011_000018.html b/dir_000011_000018.html index 7ed65c3bb0..fdfec2e264 100644 --- a/dir_000011_000018.html +++ b/dir_000011_000018.html @@ -118,7 +118,7 @@

radioactive_decays → include Relation

  • simulations
  • radioactive_decays
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000012_000001.html b/dir_000012_000001.html index d76fa6e871..6257675e26 100644 --- a/dir_000012_000001.html +++ b/dir_000012_000001.html @@ -118,7 +118,7 @@

supernova → common Relation

  • simulations
  • supernova
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000013_000001.html b/dir_000013_000001.html index e83560fc6c..18223581b9 100644 --- a/dir_000013_000001.html +++ b/dir_000013_000001.html @@ -118,7 +118,7 @@

src → common Relation

  • simulations
  • effective_area
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000013_000014.html b/dir_000013_000014.html index b4622a3282..9bfb4f946e 100644 --- a/dir_000013_000014.html +++ b/dir_000013_000014.html @@ -118,7 +118,7 @@

src → include Relation

  • simulations
  • effective_area
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000014_000001.html b/dir_000014_000001.html index 039125cbd2..9ab06ef796 100644 --- a/dir_000014_000001.html +++ b/dir_000014_000001.html @@ -118,7 +118,7 @@

include → common Relation

diff --git a/dir_000015_000001.html b/dir_000015_000001.html index 9a10e358ef..886b237b69 100644 --- a/dir_000015_000001.html +++ b/dir_000015_000001.html @@ -118,7 +118,7 @@

src → common Relation

diff --git a/dir_000016_000001.html b/dir_000016_000001.html index 2a15b61f3b..3613d934bb 100644 --- a/dir_000016_000001.html +++ b/dir_000016_000001.html @@ -118,7 +118,7 @@

include → common Relation

diff --git a/dir_000017_000001.html b/dir_000017_000001.html index 2c82a15670..5141f61e84 100644 --- a/dir_000017_000001.html +++ b/dir_000017_000001.html @@ -118,7 +118,7 @@

src → common Relation

diff --git a/dir_000017_000018.html b/dir_000017_000018.html index a4d8080d79..e353521b2c 100644 --- a/dir_000017_000018.html +++ b/dir_000017_000018.html @@ -118,7 +118,7 @@

src → include Relation

diff --git a/dir_000018_000001.html b/dir_000018_000001.html index a7c56934d7..b94bb6fa73 100644 --- a/dir_000018_000001.html +++ b/dir_000018_000001.html @@ -118,7 +118,7 @@

include → common Relation

diff --git a/dir_000019_000001.html b/dir_000019_000001.html index 1d8e971f1a..f974986c0f 100644 --- a/dir_000019_000001.html +++ b/dir_000019_000001.html @@ -118,7 +118,7 @@

src → common Relation

  • simulations
  • supernova
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000019_000020.html b/dir_000019_000020.html index 046d06daf2..2f4c690b09 100644 --- a/dir_000019_000020.html +++ b/dir_000019_000020.html @@ -118,7 +118,7 @@

src → include Relation

  • simulations
  • supernova
  • src
    • -
  • Generated on Tue Aug 20 2024 15:41:36 for OMSim by doxygen 1.9.1
    • +
  • Generated on Tue Aug 20 2024 16:06:17 for OMSim by doxygen 1.9.1
diff --git a/dir_000020_000001.html b/dir_000020_000001.html index a74b0ed6f0..118e1254cb 100644 --- a/dir_000020_000001.html +++ b/dir_000020_000001.html @@ -118,7 +118,7 @@

include → common Relation

diff --git a/dir_063f98bf472a5628db2efd803811c54a.html b/dir_063f98bf472a5628db2efd803811c54a.html index da74b63684..513b890979 100644 --- a/dir_063f98bf472a5628db2efd803811c54a.html +++ b/dir_063f98bf472a5628db2efd803811c54a.html @@ -138,7 +138,7 @@ diff --git a/dir_15cce704fbf06c4cea2242bd5ad04318.html b/dir_15cce704fbf06c4cea2242bd5ad04318.html index 4c8ae41b7e..b50a75738e 100644 --- a/dir_15cce704fbf06c4cea2242bd5ad04318.html +++ b/dir_15cce704fbf06c4cea2242bd5ad04318.html @@ -128,7 +128,7 @@ diff --git a/dir_1982ac4ee14fc237007cc9ebcbaeb674.html b/dir_1982ac4ee14fc237007cc9ebcbaeb674.html index b6fdfa282d..43b7132007 100644 --- a/dir_1982ac4ee14fc237007cc9ebcbaeb674.html +++ b/dir_1982ac4ee14fc237007cc9ebcbaeb674.html @@ -132,7 +132,7 @@ diff --git a/dir_1bc21981797ed08ef994409d474646cd.html b/dir_1bc21981797ed08ef994409d474646cd.html index 92f352ad1d..68a948029a 100644 --- a/dir_1bc21981797ed08ef994409d474646cd.html +++ b/dir_1bc21981797ed08ef994409d474646cd.html @@ -151,7 +151,7 @@ diff --git a/dir_218371b85f6c667e47e4a2c498ee505b.html b/dir_218371b85f6c667e47e4a2c498ee505b.html index 6b9f11d7fd..d57660e5f0 100644 --- a/dir_218371b85f6c667e47e4a2c498ee505b.html +++ b/dir_218371b85f6c667e47e4a2c498ee505b.html @@ -162,7 +162,7 @@ diff --git a/dir_530002b765117689634e7db27e09d1d1.html b/dir_530002b765117689634e7db27e09d1d1.html index c31080ec3e..15c241e63a 100644 --- a/dir_530002b765117689634e7db27e09d1d1.html +++ b/dir_530002b765117689634e7db27e09d1d1.html @@ -128,7 +128,7 @@ diff --git a/dir_553094e69e8206429061833255d80122.html b/dir_553094e69e8206429061833255d80122.html index ce65579188..9217a1a246 100644 --- a/dir_553094e69e8206429061833255d80122.html +++ b/dir_553094e69e8206429061833255d80122.html @@ -138,7 +138,7 @@ diff --git a/dir_5c9994549f1b04962ce70143cf697342.html b/dir_5c9994549f1b04962ce70143cf697342.html index 2b47c2716e..7387f0f4fc 100644 --- a/dir_5c9994549f1b04962ce70143cf697342.html +++ b/dir_5c9994549f1b04962ce70143cf697342.html @@ -135,7 +135,7 @@ diff --git a/dir_83271c016684bff04ce022d17a2ba8ac.html b/dir_83271c016684bff04ce022d17a2ba8ac.html index 1b4b7c78e5..ec4d7c545e 100644 --- a/dir_83271c016684bff04ce022d17a2ba8ac.html +++ b/dir_83271c016684bff04ce022d17a2ba8ac.html @@ -132,7 +132,7 @@ diff --git a/dir_864f292c5cbb4a74180810cb2e80dd5b.html b/dir_864f292c5cbb4a74180810cb2e80dd5b.html index 6c6192fbcb..90a0bd28f1 100644 --- a/dir_864f292c5cbb4a74180810cb2e80dd5b.html +++ b/dir_864f292c5cbb4a74180810cb2e80dd5b.html @@ -132,7 +132,7 @@ diff --git a/dir_8dfe1e0a882227ede81fe824e3144913.html b/dir_8dfe1e0a882227ede81fe824e3144913.html index 2381d3e75d..e62b2a6da6 100644 --- a/dir_8dfe1e0a882227ede81fe824e3144913.html +++ b/dir_8dfe1e0a882227ede81fe824e3144913.html @@ -138,7 +138,7 @@ diff --git a/dir_8fdc56914180e7797b4b25774dd75a24.html b/dir_8fdc56914180e7797b4b25774dd75a24.html index 9afcb80f10..e236a1c8b3 100644 --- a/dir_8fdc56914180e7797b4b25774dd75a24.html +++ b/dir_8fdc56914180e7797b4b25774dd75a24.html @@ -128,7 +128,7 @@ diff --git a/dir_9c3954a29433d21caebe71551a91150a.html b/dir_9c3954a29433d21caebe71551a91150a.html index 0b7d942a25..e743436eb1 100644 --- a/dir_9c3954a29433d21caebe71551a91150a.html +++ b/dir_9c3954a29433d21caebe71551a91150a.html @@ -132,7 +132,7 @@ diff --git a/dir_a50532433148dd6238491228bd0c578b.html b/dir_a50532433148dd6238491228bd0c578b.html index 90350e7537..e4718fa890 100644 --- a/dir_a50532433148dd6238491228bd0c578b.html +++ b/dir_a50532433148dd6238491228bd0c578b.html @@ -138,7 +138,7 @@ diff --git a/dir_aadee9bb2666fe6a6260a5bffac9e7bb.html b/dir_aadee9bb2666fe6a6260a5bffac9e7bb.html index 8e05eef6eb..f89f0c282a 100644 --- a/dir_aadee9bb2666fe6a6260a5bffac9e7bb.html +++ b/dir_aadee9bb2666fe6a6260a5bffac9e7bb.html @@ -156,7 +156,7 @@ diff --git a/dir_bb55901d3b0c41c0755ece8de7fe1d65.html b/dir_bb55901d3b0c41c0755ece8de7fe1d65.html index 18be349c69..369a1c78fc 100644 --- a/dir_bb55901d3b0c41c0755ece8de7fe1d65.html +++ b/dir_bb55901d3b0c41c0755ece8de7fe1d65.html @@ -138,7 +138,7 @@ diff --git a/dir_bdd9a5d540de89e9fe90efdfc6973a4f.html b/dir_bdd9a5d540de89e9fe90efdfc6973a4f.html index f9f59f4c65..d4818ef75e 100644 --- a/dir_bdd9a5d540de89e9fe90efdfc6973a4f.html +++ b/dir_bdd9a5d540de89e9fe90efdfc6973a4f.html @@ -128,7 +128,7 @@ diff --git a/dir_e87a8e000ea4778e21f6f7b1a2aefe7c.html b/dir_e87a8e000ea4778e21f6f7b1a2aefe7c.html index 74ed00c37a..287e55d20b 100644 --- a/dir_e87a8e000ea4778e21f6f7b1a2aefe7c.html +++ b/dir_e87a8e000ea4778e21f6f7b1a2aefe7c.html @@ -135,7 +135,7 @@ diff --git a/dir_e9dca0ccd90dffea88fe042b493f5403.html b/dir_e9dca0ccd90dffea88fe042b493f5403.html index e6a1ff8b6a..d28fa4a143 100644 --- a/dir_e9dca0ccd90dffea88fe042b493f5403.html +++ b/dir_e9dca0ccd90dffea88fe042b493f5403.html @@ -134,7 +134,7 @@ diff --git a/dir_f08f47f02c89fd4c9a0b922374f81d3f.html b/dir_f08f47f02c89fd4c9a0b922374f81d3f.html index a0f7f8fac2..e8530ddebf 100644 --- a/dir_f08f47f02c89fd4c9a0b922374f81d3f.html +++ b/dir_f08f47f02c89fd4c9a0b922374f81d3f.html @@ -122,7 +122,7 @@ diff --git a/dir_f9b02cdf76a5a3d3c8b8a33fd60e2526.html b/dir_f9b02cdf76a5a3d3c8b8a33fd60e2526.html index f9f65a6873..cb18d6c5bc 100644 --- a/dir_f9b02cdf76a5a3d3c8b8a33fd60e2526.html +++ b/dir_f9b02cdf76a5a3d3c8b8a33fd60e2526.html @@ -138,7 +138,7 @@ diff --git a/effective__area_2include_2_o_m_sim_effective_area_detector_8hh.html b/effective__area_2include_2_o_m_sim_effective_area_detector_8hh.html index 0652e43070..54d420129a 100644 --- a/effective__area_2include_2_o_m_sim_effective_area_detector_8hh.html +++ b/effective__area_2include_2_o_m_sim_effective_area_detector_8hh.html @@ -142,7 +142,7 @@ diff --git a/effective__area_2include_2_o_m_sim_effective_area_detector_8hh_source.html b/effective__area_2include_2_o_m_sim_effective_area_detector_8hh_source.html index 15e27be020..0a0bf633f0 100644 --- a/effective__area_2include_2_o_m_sim_effective_area_detector_8hh_source.html +++ b/effective__area_2include_2_o_m_sim_effective_area_detector_8hh_source.html @@ -145,7 +145,7 @@ diff --git a/effective__area_2include_2_o_m_sim_event_action_8hh_source.html b/effective__area_2include_2_o_m_sim_event_action_8hh_source.html index c05dd40009..0032703575 100644 --- a/effective__area_2include_2_o_m_sim_event_action_8hh_source.html +++ b/effective__area_2include_2_o_m_sim_event_action_8hh_source.html @@ -172,7 +172,7 @@ diff --git a/effective__area_2include_2_o_m_sim_physics_list_8hh_source.html b/effective__area_2include_2_o_m_sim_physics_list_8hh_source.html index 6c6313cc3a..82ac5e7814 100644 --- a/effective__area_2include_2_o_m_sim_physics_list_8hh_source.html +++ b/effective__area_2include_2_o_m_sim_physics_list_8hh_source.html @@ -149,7 +149,7 @@ diff --git a/effective__area_2include_2_o_m_sim_primary_generator_action_8hh_source.html b/effective__area_2include_2_o_m_sim_primary_generator_action_8hh_source.html index da90688157..8a1c25918e 100644 --- a/effective__area_2include_2_o_m_sim_primary_generator_action_8hh_source.html +++ b/effective__area_2include_2_o_m_sim_primary_generator_action_8hh_source.html @@ -145,7 +145,7 @@ diff --git a/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh.html b/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh.html index 81bb935ccc..cb33e0d51d 100644 --- a/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh.html +++ b/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh.html @@ -142,7 +142,7 @@ diff --git a/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh_source.html b/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh_source.html index 800aa7c4a6..81dab13f60 100644 --- a/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh_source.html +++ b/efficiency__calibration_2include_2_o_m_sim_effective_area_detector_8hh_source.html @@ -145,7 +145,7 @@ diff --git a/efficiency__calibration_2include_2_o_m_sim_event_action_8hh_source.html b/efficiency__calibration_2include_2_o_m_sim_event_action_8hh_source.html index 8063bc144e..abf5252b86 100644 --- a/efficiency__calibration_2include_2_o_m_sim_event_action_8hh_source.html +++ b/efficiency__calibration_2include_2_o_m_sim_event_action_8hh_source.html @@ -151,7 +151,7 @@ diff --git a/efficiency__calibration_2include_2_o_m_sim_physics_list_8hh_source.html b/efficiency__calibration_2include_2_o_m_sim_physics_list_8hh_source.html index 8826f4727c..a3bef23c8f 100644 --- a/efficiency__calibration_2include_2_o_m_sim_physics_list_8hh_source.html +++ b/efficiency__calibration_2include_2_o_m_sim_physics_list_8hh_source.html @@ -149,7 +149,7 @@ diff --git a/efficiency__calibration_2include_2_o_m_sim_primary_generator_action_8hh_source.html b/efficiency__calibration_2include_2_o_m_sim_primary_generator_action_8hh_source.html index 2fc190d03e..44db739f75 100644 --- a/efficiency__calibration_2include_2_o_m_sim_primary_generator_action_8hh_source.html +++ b/efficiency__calibration_2include_2_o_m_sim_primary_generator_action_8hh_source.html @@ -145,7 +145,7 @@ diff --git a/files.html b/files.html index 7aed232184..b7b81af328 100644 --- a/files.html +++ b/files.html @@ -189,7 +189,7 @@ diff --git a/functions.html b/functions.html index 55af7f4555..5ca06fcf5d 100644 --- a/functions.html +++ b/functions.html @@ -146,7 +146,7 @@

- a -

    diff --git a/functions_b.html b/functions_b.html index faf8bc80ec..5d7e565488 100644 --- a/functions_b.html +++ b/functions_b.html @@ -124,7 +124,7 @@

    - b -

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                                                                                      Table of Contents

                                                                                      -
                                                                                      • Installation
                                                                                        • Installing Geant4
                                                                                          • -
                                                                                        • Installing Dependencies
                                                                                          • -
                                                                                        • Installing ROOT
                                                                                          • -
                                                                                        • Compiling OMSim
                                                                                          • +
                                                                                          • Installation
                                                                                            • -
                                                                                          • Available studies @@ -131,11 +131,11 @@

                                                                                            Note: This project is under active development. If you're interested in using OMSim, please contact martin.u on IC-slack.

                                                                                            OMSim is a Geant4 framework for simulating optical modules of the IceCube Observatory. It comprises multiple modules for different studies such as background investigations with radioactive decays and sensitivity analyses. These modules share common files (in the "common" folder) that define, for example, geometries of modules and PMTs, as well as material properties.

                                                                                            -

                                                                                            For more information, please refer to our comprehensive documentation.

                                                                                            +

                                                                                            For more information, please refer to our documentation.

                                                                                            For the latest updates and information, check our GitHub repository. If you need assistance or want to report problems, please open an issue on our GitHub page or contact the maintainers directly.

                                                                                            -

                                                                                            +

                                                                                            Installation

                                                                                            -

                                                                                            +

                                                                                            Installing Geant4

                                                                                            1. Install Geant4 following the guide provided by CERN. OMSim is currently optimised for Geant4-11 (last tested with 11.2.2).
                                                                                              2. @@ -147,12 +147,12 @@

                                                                                            2. Source the Geant4 library and add this to your .bashrc, where "YOUR_G4_INSTALL" is the path to the install folder of Geant4 in your system:
                                                                                              source YOUR_G4_INSTALL_PATH/bin/geant4.sh

                                                                                            -

                                                                                            +

                                                                                            Installing Dependencies

                                                                                            Install the required dependencies using:

                                                                                            sudo apt-get -y install libxerces-c-dev libxmu-dev libxpm-dev libglu1-mesa-dev qtbase5-dev libmotif-dev libargtable2-0 libboost-all-dev libqt53dextras5 libfmt-dev

                                                                                            Note: spdlog will be automatically installed by CMake if not found on your system.

                                                                                            -

                                                                                            +

                                                                                            Installing ROOT

                                                                                            1. Download the latest ROOT binary from ROOT's official website (e.g., version 6.28/04 at the time of writing), or compile from source.
                                                                                              2. @@ -160,7 +160,7 @@

                                                                                              source $ROOTSYS/bin/thisroot.sh

                                                                                            • -

                                                                                            +

                                                                                            Compiling OMSim

                                                                                            1. Clone this repository:
                                                                                              git clone https://github.com/icecube/OMSim.git
                                                                                              @@ -174,7 +174,7 @@

                                                                                            2. Compile the project:
                                                                                              make -j$(nproc)

                                                                                            -

                                                                                            +

                                                                                            Available studies

                                                                                            OMSim has been utilized in a range of studies, each simulating unique physics, thereby necessitating distinct Physicslist/analysis setups. In this repository, we have compiled a selection of these studies, each contained within its own folder and accompanied by its own main file. Currently available:

                                                                                              @@ -182,7 +182,7 @@

                                                                                            • Radioactive decays: simulates radioactive decays within the glass of the pressure vessel and the PMT glass. Essential for understanding the primary background of optical modules.
                                                                                            • Supernova studies: used for the development of an improved SN trigger for IceCube using multi-PMT modules.

                                                                                            -

                                                                                            +

                                                                                            Customising Compilation

                                                                                            To exclude certain studies from compilation, edit the simulations/CMakeLists.tx file and comment out the unwanted add_subdirectory() calls before running CMake.

                                                                                      @@ -191,7 +191,7 @@

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It comprises multiple modules for different studies such as background investigations with radioactive decays and sensitivity analyses. These modules share common files (in the \char`\"{}common\char`\"{} folder) that define, for example, geometries of modules and PMTs, as well as material properties. -For more information, please refer to our \href{https://icecube.github.io/OMSim/}{\texttt{ comprehensive documentation}}. +For more information, please refer to our \href{https://icecube.github.io/OMSim/}{\texttt{ documentation}}. -For the latest updates and information, check our \href{https://github.com/icecube/OMSim}{\texttt{ Git\+Hub repository}}. If you need assistance or want to report problems, please open an issue on our Git\+Hub page or contact the maintainers directly.\hypertarget{index_autotoc_md42}{}\doxysection{Installation}\label{index_autotoc_md42} -\hypertarget{index_autotoc_md43}{}\doxysubsection{Installing Geant4}\label{index_autotoc_md43} +For the latest updates and information, check our \href{https://github.com/icecube/OMSim}{\texttt{ Git\+Hub repository}}. If you need assistance or want to report problems, please open an issue on our Git\+Hub page or contact the maintainers directly.\hypertarget{index_autotoc_md49}{}\doxysection{Installation}\label{index_autotoc_md49} +\hypertarget{index_autotoc_md50}{}\doxysubsection{Installing Geant4}\label{index_autotoc_md50} \begin{DoxyEnumerate} \item Install Geant4 following \href{https://geant4-userdoc.web.cern.ch/UsersGuides/InstallationGuide/html/installguide.html}{\texttt{ the guide provided by CERN}}. \mbox{\hyperlink{class_o_m_sim}{OMSim}} is currently optimised for Geant4-\/11 (last tested with 11.\+2.\+2). @@ -33,7 +33,7 @@ \end{DoxyCode} -\end{DoxyEnumerate}\hypertarget{index_autotoc_md44}{}\doxysubsection{Installing Dependencies}\label{index_autotoc_md44} +\end{DoxyEnumerate}\hypertarget{index_autotoc_md51}{}\doxysubsection{Installing Dependencies}\label{index_autotoc_md51} Install the required dependencies using\+: @@ -43,7 +43,7 @@ \end{DoxyCode} -Note\+: spdlog will be automatically installed by CMake if not found on your system.\hypertarget{index_autotoc_md45}{}\doxysubsection{Installing ROOT}\label{index_autotoc_md45} +Note\+: spdlog will be automatically installed by CMake if not found on your system.\hypertarget{index_autotoc_md52}{}\doxysubsection{Installing ROOT}\label{index_autotoc_md52} \begin{DoxyEnumerate} \item Download the latest ROOT binary from \href{https://root.cern/releases/}{\texttt{ ROOT\textquotesingle{}s official website}} (e.\+g., version 6.\+28/04 at the time of writing), or compile from source. @@ -54,7 +54,7 @@ \end{DoxyCode} -\end{DoxyEnumerate}\hypertarget{index_autotoc_md46}{}\doxysubsection{Compiling OMSim}\label{index_autotoc_md46} +\end{DoxyEnumerate}\hypertarget{index_autotoc_md53}{}\doxysubsection{Compiling OMSim}\label{index_autotoc_md53} \begin{DoxyEnumerate} \item Clone this repository\+: @@ -87,7 +87,7 @@ \end{DoxyCode} -\end{DoxyEnumerate}\hypertarget{index_autotoc_md47}{}\doxysection{Available studies}\label{index_autotoc_md47} +\end{DoxyEnumerate}\hypertarget{index_autotoc_md54}{}\doxysection{Available studies}\label{index_autotoc_md54} \mbox{\hyperlink{class_o_m_sim}{OMSim}} has been utilized in a range of studies, each simulating unique physics, thereby necessitating distinct Physicslist/analysis setups. In this repository, we have compiled a selection of these studies, each contained within its own folder and accompanied by its own main file. Currently available\+: @@ -95,5 +95,5 @@ \item \href{https://icecube.github.io/OMSim/md_2_effective_area.html}{\texttt{ Effective area}}\+: calculates the effective area of the optical modules/\+PMTs. \item \href{https://icecube.github.io/OMSim/md_3_radioactive_decays.html}{\texttt{ Radioactive decays}}\+: simulates radioactive decays within the glass of the pressure vessel and the PMT glass. Essential for understanding the primary background of optical modules. \item \href{https://icecube.github.io/OMSim/md_4__s_n.html}{\texttt{ Supernova studies}}\+: used for the development of an improved SN trigger for Ice\+Cube using multi-\/\+PMT modules. -\end{DoxyItemize}\hypertarget{index_autotoc_md48}{}\doxysubsection{Customising Compilation}\label{index_autotoc_md48} +\end{DoxyItemize}\hypertarget{index_autotoc_md55}{}\doxysubsection{Customising Compilation}\label{index_autotoc_md55} To exclude certain studies from compilation, edit the {\ttfamily simulations/\+CMake\+Lists.\+tx} file and comment out the unwanted {\ttfamily add\+\_\+subdirectory()} calls before running CMake. \ No newline at end of file diff --git a/latex/md_extra_doc_0_common.tex b/latex/md_extra_doc_0_common.tex index 9d7536d32c..84c4c68185 100644 --- a/latex/md_extra_doc_0_common.tex +++ b/latex/md_extra_doc_0_common.tex @@ -1,4 +1,7 @@ -This framework offers tools to simplify geometry construction and material definitions, as well as a detailed PMT response mechanism. This page provides a brief introduction to the main features.\hypertarget{md_extra_doc_0_common_autotoc_md1}{}\doxysection{Materials and User Data}\label{md_extra_doc_0_common_autotoc_md1} +This framework offers tools to simplify geometry construction and material definitions, as well as a detailed PMT response mechanism. This page provides a brief introduction to the main features. + +\DoxyHorRuler{0} +\hypertarget{md_extra_doc_0_common_autotoc_md2}{}\doxysection{Materials and User Data}\label{md_extra_doc_0_common_autotoc_md2} User-\/defined material data are stored in JSON files under {\ttfamily /common/data} to minimize file length. The {\ttfamily \mbox{\hyperlink{class_o_m_sim_input_data}{OMSim\+Input\+Data}}} (see {\ttfamily \mbox{\hyperlink{_o_m_sim_input_data_8hh}{OMSim\+Input\+Data.\+hh}}}) loads these properties directly into the Geant4 framework. Materials loaded via this class can be retrieved using Geant4\textquotesingle{}s conventional method {\ttfamily G4\+Material\+::\+Get\+Material}, but the framework also provides the wrapper {\ttfamily \mbox{\hyperlink{class_o_m_sim_input_data_a12e64f3ec83f33c173da0cd5954dd5b2}{OMSim\+Input\+Data\+::get\+Material}}} to handle default parameters. @@ -11,26 +14,10 @@ This approach was adopted because various PMTs are constructed similarly, eliminating the need to define a unique class for each PMT type, as is done for the optical modules. -If you wish to load additional data, you can either define a new type in OMSim\+Data\+File\+Types or use a json file to load it into a tree as previously mentioned. For simpler tasks, use the static method {\ttfamily \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools\+::loadtxt}}} provided by the {\ttfamily \mbox{\hyperlink{namespace_tools}{Tools}}} namespace.\hypertarget{md_extra_doc_0_common_autotoc_md2}{}\doxysection{The Tools namespace}\label{md_extra_doc_0_common_autotoc_md2} -The tools namespace provide several methods that could help you. For example, {\ttfamily \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools\+::loadtxt}}}, {\ttfamily \mbox{\hyperlink{namespace_tools_a068657387a0d190043d3e0959e84e18c}{Tools\+::linspace}}} and {\ttfamily \mbox{\hyperlink{namespace_tools_a5150dab6894acffb1c04085437e8e0b8}{Tools\+::logspace}}} operate similarly to their Python\textquotesingle{}s numpy counterparts\+: - - -\begin{DoxyCode}{0} -\DoxyCodeLine{\textcolor{preprocessor}{\#include "{}\mbox{\hyperlink{_o_m_sim_tools_8hh}{OMSimTools.hh}}"{}}} -\DoxyCodeLine{std::vector lData = \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools::loadtxt}}(\textcolor{stringliteral}{"{}path/file\_name.txt"{}}, \textcolor{keyword}{true});} -\DoxyCodeLine{std::vector lFirstColumn = lData.at(0);} -\DoxyCodeLine{std::vector lSecondColumn = lData.at(1);} -\DoxyCodeLine{} -\DoxyCodeLine{std::vector lWavelengths = \mbox{\hyperlink{namespace_tools_a068657387a0d190043d3e0959e84e18c}{Tools::linspace}}(275, 750, 96);} -\DoxyCodeLine{std::vector lAbsLengths = \mbox{\hyperlink{namespace_tools_a5150dab6894acffb1c04085437e8e0b8}{Tools::logspace}}(-\/9, -\/4, 20);} -\DoxyCodeLine{} -\DoxyCodeLine{std::vector data = \{1, 2, 2, 3, 3, 3, 4, 4, 5\};} -\DoxyCodeLine{\textcolor{keyword}{auto} [counts, edges] = \mbox{\hyperlink{namespace_tools_ab83e877c5728fe5cbfd4c6496c88166f}{Tools::histogram}}(data, 5);} -\DoxyCodeLine{} -\DoxyCodeLine{\textcolor{comment}{// ...}} +If you wish to load additional data, you can either define a new type in OMSim\+Data\+File\+Types or use a json file to load it into a tree as previously mentioned. For simpler tasks, use the static method {\ttfamily \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools\+::loadtxt}}} provided by the \href{md_extra_doc_2_technicalities.html\#autotoc_md20}{\texttt{ {\ttfamily Tools} namespace}}. -\end{DoxyCode} -\hypertarget{md_extra_doc_0_common_autotoc_md3}{}\doxysection{Geometry construction}\label{md_extra_doc_0_common_autotoc_md3} +\DoxyHorRuler{0} +\hypertarget{md_extra_doc_0_common_autotoc_md4}{}\doxysection{Geometry construction}\label{md_extra_doc_0_common_autotoc_md4} Each optical module and harness is defined in its respective class, located in the {\ttfamily /common/geometry\+\_\+construction/} folder. These inherit from the virtual base class {\ttfamily \mbox{\hyperlink{class_o_m_sim_optical_module}{OMSim\+Optical\+Module}}}. This inheritance ensures the definition of functions to retrieve the pressure vessel\textquotesingle{}s weight (necessary for radioactive decay studies) and the count of PMTs inside the module. The {\ttfamily \mbox{\hyperlink{class_o_m_sim_optical_module}{OMSim\+Optical\+Module}}} interface inherits from {\ttfamily \mbox{\hyperlink{classabc_detector_component}{abc\+Detector\+Component}}}, a general helper class simplifying construction. Most \mbox{\hyperlink{class_o_m_sim}{OMSim}} geometries inherit from this class, as illustrated in the dependency diagram below\+: @@ -49,10 +36,8 @@ ~\newline Figure 2\+: {\itshape Side view of complex \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} PMT model. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} -In the complex PMT model, the photocathode has an absorption length that matches the measured quantum efficiency of the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} PMTs. For the other PMT models, this matching still has to be performed. - - ~\newline - Figure 3\+: {\itshape QE of simulation with the absorption length currently used compared to measurements. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} \hypertarget{md_extra_doc_0_common_autotoc_md4}{}\doxysection{Making PMTs and OMs sensitive}\label{md_extra_doc_0_common_autotoc_md4} +\DoxyHorRuler{0} +\hypertarget{md_extra_doc_0_common_autotoc_md6}{}\doxysection{Making PMTs and OMs sensitive}\label{md_extra_doc_0_common_autotoc_md6} For photon detection in both simple and complex geometries, the photons must be absorbed within the photocathode. The photocathodes are made sensitive through the \mbox{\hyperlink{class_o_m_sim_sensitive_detector}{OMSim\+Sensitive\+Detector}} class, following Geant4\textquotesingle{}s G4\+VSensitive\+Detector pattern. This configuration is achieved by invoking {\ttfamily OMSim\+Optical\+Module\+::configure\+Sensitive\+Volume} (or {\ttfamily OMSim\+PMTConstruction\+::configure\+Sensitive\+Volume} when simulating a single PMT). It is essential to invoke this method in the detector construction, as it needs the instance of {\ttfamily \mbox{\hyperlink{class_o_m_sim_detector_construction}{OMSim\+Detector\+Construction}}} to call {\ttfamily G4\+VUser\+Detector\+Construction\+::\+Set\+Sensitive\+Detector} for successful operation in Geant4 (refer to {\ttfamily OMSim\+Detector\+Construction\+::register\+Sensitive\+Detector}). @@ -73,8 +58,11 @@ \end{DoxyCode} -Every step of a particle through the photocathode triggers the {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} method. It verifies if the particle is a photon and whether it was absorbed. For a deeper understanding of Geant4\textquotesingle{}s philosophy concerning G4\+VSensitive\+Detector, consult the \href{https://geant4-userdoc.web.cern.ch/UsersGuides/ForApplicationDeveloper/html/Detector/hit.html?highlight=g4vsensitivedetector\#g4vsensitivedetector}{\texttt{ Geant4 guide for application developers}}.\hypertarget{md_extra_doc_0_common_autotoc_md5}{}\doxysection{Storing hits and PMT response}\label{md_extra_doc_0_common_autotoc_md5} -\hypertarget{md_extra_doc_0_common_autotoc_md6}{}\doxysubsection{PMTs Charge, transit time and detection probability}\label{md_extra_doc_0_common_autotoc_md6} +Every step of a particle through the photocathode triggers the {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} method. It verifies if the particle is a photon and whether it was absorbed. For a deeper understanding of Geant4\textquotesingle{}s philosophy concerning G4\+VSensitive\+Detector, consult the \href{https://geant4-userdoc.web.cern.ch/UsersGuides/ForApplicationDeveloper/html/Detector/hit.html?highlight=g4vsensitivedetector\#g4vsensitivedetector}{\texttt{ Geant4 guide for application developers}}. + +\DoxyHorRuler{0} +\hypertarget{md_extra_doc_0_common_autotoc_md8}{}\doxysection{Storing hits and PMT response}\label{md_extra_doc_0_common_autotoc_md8} +\hypertarget{md_extra_doc_0_common_autotoc_md9}{}\doxysubsection{PMTs Charge, transit time and detection probability}\label{md_extra_doc_0_common_autotoc_md9} \begin{quote} {\bfseries{Warning}}\+: Only the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} PMT currently supports a detailed PMT response. \end{quote} In {\ttfamily OMSim\+PMTConstruction\+::configure\+Sensitive\+Volume}, PMTs are associated with an instance of {\ttfamily \mbox{\hyperlink{class_o_m_sim_p_m_t_response}{OMSim\+PMTResponse}}}, contingent on the PMT under simulation. This class offers a precise PMT simulation by sampling from real measurements, obtaining the relative transit time, charge (in PE), and detection probability (using the measured scans from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}). For details, refer to Section 9.\+3.\+4 of the linked thesis. @@ -82,14 +70,21 @@ This sampling is performed for every absorbed photon in {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} invoking {\ttfamily \mbox{\hyperlink{class_o_m_sim_p_m_t_response_a55aabd8f8fd9be58eca3ba0753974d08}{OMSim\+PMTResponse\+::process\+Photocathode\+Hit}}}. The position of the photon on the photocathode is retrieved, the 2D-\/histograms of the gain, SPE resolution, transit time and TTS are interpolated for that position and the charge / transit time of the photon is sampled from a Gaussian using the interpolated values as mean (in case of gain / transit time) and standard deviation (in case of SPE resolution / TTS). The detection probability is the product of the QE (dependent on the wavelength of the photon) and the collection efficiency weight (dependent on absorption position). ~\newline - Figure 4\+: {\itshape PMT response compared to measurement for different light sources. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} \hypertarget{md_extra_doc_0_common_autotoc_md7}{}\doxysubsection{Hit storage}\label{md_extra_doc_0_common_autotoc_md7} + Figure 3\+: {\itshape PMT response compared to measurement for different light sources. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} + +The QE and collection efficiency weights are calculated to match measurements. See the section \href{md_extra_doc_2_technicalities.html\#autotoc_md21}{\texttt{ Matching PMT Efficiency to Measurements}} for further technicalities. + + ~\newline + Figure 4\+: {\itshape QE of simulation with the absorption length currently used compared to measurements. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} + + ~\newline + Figure 5\+: {\itshape Detection efficiency simulation (left) compared to measurement (right) using the calculated collection efficiency weights. Image from \href{https://zenodo.org/record/8121321}{\texttt{ M. Unland\textquotesingle{}s thesis}}.} \hypertarget{md_extra_doc_0_common_autotoc_md10}{}\doxysubsection{Hit storage}\label{md_extra_doc_0_common_autotoc_md10} The absorbed photon data is managed by the {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager}{OMSim\+Hit\+Manager}}} global instance. It maintains a vector of hit information ({\ttfamily \mbox{\hyperlink{struct_hit_stats}{Hit\+Stats}}} struct) for each sensitive detector. To analyze and export this data, use the {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager_a45a63dbb6cdb3815db3cfde00ae36f70}{OMSim\+Hit\+Manager\+::get\+Single\+Thread\+Hits\+Of\+Module}}} method to retrieve data for the current thread, or {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager_ae10481ea62eca89b774ced9e01b991ab}{OMSim\+Hit\+Manager\+::get\+Merged\+Hits\+Of\+Module}}} to obtain merged data from all threads. Note that {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager_ae10481ea62eca89b774ced9e01b991ab}{OMSim\+Hit\+Manager\+::get\+Merged\+Hits\+Of\+Module}}} works only if {\ttfamily OMSim\+Hit\+Manager\+::merge\+Thread\+Data} has been called (happens at the end of the run when {\ttfamily OMSim\+Run\+Actio\+::\+End\+Of\+Run\+Action} is called). For analysis or storage at the end of an event, handle each thread separately as events end asynchronously. For practical examples, refer to the methods in {\ttfamily OMSim\+Effective\+Area\+Analysis} and {\ttfamily OMSim\+SNAnalysis\+::write\+Data\+File}. -An additional feature allows for the direct application of a QE cut. This ensures that only absorbed photons passing the QE test are retained in {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager}{OMSim\+Hit\+Manager}}}. To enable this feature, provide the \char`\"{}\+QE\+\_\+cut\char`\"{} argument via the command line. In this case {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} will call {\ttfamily \mbox{\hyperlink{class_o_m_sim_p_m_t_response_a2447b2f9eb62a1e99f410bfeda917d5c}{OMSim\+PMTResponse\+::pass\+QE}}} and break early if it returns false, without storing the photon information. +An additional feature allows for the direct application of a QE cut. This ensures that only absorbed photons passing the QE test are retained in {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager}{OMSim\+Hit\+Manager}}}. To enable this feature, provide the \char`\"{}\+QE\+\_\+cut\char`\"{} argument via the command line. In this case {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} will call {\ttfamily \mbox{\hyperlink{class_o_m_sim_p_m_t_response_a2447b2f9eb62a1e99f410bfeda917d5c}{OMSim\+PMTResponse\+::pass\+QE}}} and break early if it returns false, without storing the photon information. In most scenarios, it\textquotesingle{}s not recommended to use --QE\+\_\+cut since it reduces your statistics. Its presence in \mbox{\hyperlink{class_o_m_sim}{OMSim}} is primarily for testing purposes. It\textquotesingle{}s generally better to perform post-\/analysis using the saved {\ttfamily \mbox{\hyperlink{struct_o_m_sim_p_m_t_response_1_1_p_m_t_pulse_a87f21652e10a0bc82870ded9697b57f2}{OMSim\+PMTResponse\+::\+PMTPulse\+::detection\+Probability}}} for each absorbed photon. -\begin{quote} -{\bfseries{Note}}\+: In most scenarios, it\textquotesingle{}s not recommended to use --QE\+\_\+cut since it reduces your statistics. Its presence in \mbox{\hyperlink{class_o_m_sim}{OMSim}} is primarily for testing purposes. It\textquotesingle{}s generally better to perform post-\/analysis using the saved {\ttfamily \mbox{\hyperlink{struct_o_m_sim_p_m_t_response_1_1_p_m_t_pulse_a87f21652e10a0bc82870ded9697b57f2}{OMSim\+PMTResponse\+::\+PMTPulse\+::detection\+Probability}}} for each absorbed photon. \end{quote} -\hypertarget{md_extra_doc_0_common_autotoc_md8}{}\doxysection{Making other volumes sensitive to photons}\label{md_extra_doc_0_common_autotoc_md8} +\DoxyHorRuler{0} +\hypertarget{md_extra_doc_0_common_autotoc_md12}{}\doxysection{Making other volumes sensitive to photons}\label{md_extra_doc_0_common_autotoc_md12} For some studies, you might want a volume to detect photons, without this necessarily being a PMT. For such cases, the framework has a provision in place\+: use the {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector}{OMSim\+Sensitive\+Detector}}} and pass {\ttfamily Detector\+Type\+::\+General\+Photon\+Detector} as its constructor argument. In this case, the {\ttfamily \mbox{\hyperlink{class_o_m_sim_sensitive_detector_a2d12fa5869b30eee35a85793522e98f4}{OMSim\+Sensitive\+Detector\+::\+Process\+Hits}}} will use an instance {\ttfamily \mbox{\hyperlink{class_no_response}{No\+Response}}} as PMT response, which is just a dummy placeholder. ~\newline diff --git a/latex/md_extra_doc_1_multithreading.tex b/latex/md_extra_doc_1_multithreading.tex index 1826b1c30a..53e744716d 100644 --- a/latex/md_extra_doc_1_multithreading.tex +++ b/latex/md_extra_doc_1_multithreading.tex @@ -1,4 +1,4 @@ -The OMSim-\/\+Framework allows for multi-\/threading. The number of threads can be controlled with the {\ttfamily -\/-\/threads} argument (default 1). If you specify more threads than available, only the maximum available will be used.\hypertarget{md_extra_doc_1_multithreading_autotoc_md10}{}\doxysection{Introduction}\label{md_extra_doc_1_multithreading_autotoc_md10} +The OMSim-\/\+Framework allows for multi-\/threading. The number of threads can be controlled with the {\ttfamily -\/-\/threads} argument (default 1). If you specify more threads than available, only the maximum available will be used.\hypertarget{md_extra_doc_1_multithreading_autotoc_md14}{}\doxysection{Introduction}\label{md_extra_doc_1_multithreading_autotoc_md14} Geant4 implements multi-\/threading using a master-\/worker model\+: @@ -12,14 +12,14 @@ \item Geometry and physics tables are shared read-\/only among threads. \item Each thread has its own instance of sensitive detectors, event and tracking managers. \item Random number generators are designed to produce independent streams for each thread. -\end{DoxyItemize}\hypertarget{md_extra_doc_1_multithreading_autotoc_md11}{}\doxysection{Thread Safety Guidelines}\label{md_extra_doc_1_multithreading_autotoc_md11} +\end{DoxyItemize}\hypertarget{md_extra_doc_1_multithreading_autotoc_md15}{}\doxysection{Thread Safety Guidelines}\label{md_extra_doc_1_multithreading_autotoc_md15} \begin{DoxyEnumerate} \item {\bfseries{Use Thread-\/\+Local Storage}}\+: For data unique to each thread, use {\ttfamily G4\+Thread\+Local}. \item {\bfseries{Protect Shared Resources}}\+: Use mutex locks when accessing shared resources. \item {\bfseries{Minimize Global Variables}}\+: Prefer class members or local variables instead. \item {\bfseries{Implement Thread-\/\+Safe Containers}}\+: Ensure thread-\/safe access and modification of containers. -\end{DoxyEnumerate}\hypertarget{md_extra_doc_1_multithreading_autotoc_md12}{}\doxysection{Thread-\/\+Safe Global Instance Implementation}\label{md_extra_doc_1_multithreading_autotoc_md12} +\end{DoxyEnumerate}\hypertarget{md_extra_doc_1_multithreading_autotoc_md16}{}\doxysection{Thread-\/\+Safe Global Instance Implementation}\label{md_extra_doc_1_multithreading_autotoc_md16} Both {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager}{OMSim\+Hit\+Manager}}} and {\ttfamily \mbox{\hyperlink{class_o_m_sim_decays_analysis}{OMSim\+Decays\+Analysis}}} utilize a global instance pattern. This approach provides better control over the lifecycle of the instance and can prevent potential memory leaks when integrated into larger frameworks. The process works as follows\+: @@ -71,7 +71,7 @@ \begin{quote} {\bfseries{Note}}\+: While this global instance implementation provides better control over the instance lifecycle, it requires explicit initialization and shutdown. Ensure these are called at appropriate times (single-\/thread) in your application (for example in main before/after run). \end{quote} -\hypertarget{md_extra_doc_1_multithreading_autotoc_md13}{}\doxysubsection{Example\+: OMSim\+Hit\+Manager}\label{md_extra_doc_1_multithreading_autotoc_md13} +\hypertarget{md_extra_doc_1_multithreading_autotoc_md17}{}\doxysubsection{Example\+: OMSim\+Hit\+Manager}\label{md_extra_doc_1_multithreading_autotoc_md17} The {\ttfamily \mbox{\hyperlink{class_o_m_sim_hit_manager}{OMSim\+Hit\+Manager}}} class demonstrates several thread-\/safety techniques for saving data\+: @@ -149,7 +149,7 @@ \begin{quote} {\bfseries{Important}}\+: Call {\ttfamily merge\+Thread\+Data} after all threads have finished simulating (after a run has completed). \end{quote} -\hypertarget{md_extra_doc_1_multithreading_autotoc_md14}{}\doxysubsection{Example\+: Saving Data Per Thread}\label{md_extra_doc_1_multithreading_autotoc_md14} +\hypertarget{md_extra_doc_1_multithreading_autotoc_md18}{}\doxysubsection{Example\+: Saving Data Per Thread}\label{md_extra_doc_1_multithreading_autotoc_md18} In scenarios where merging data is unnecessary, or the amount of data is too large to wait until end of run, each thread can save its data in separate files. This is demonstrated in the {\ttfamily \mbox{\hyperlink{class_o_m_sim_decays_analysis}{OMSim\+Decays\+Analysis}}} class. @@ -229,7 +229,7 @@ \DoxyCodeLine{ \}} \end{DoxyCode} -\hypertarget{md_extra_doc_1_multithreading_autotoc_md15}{}\doxysection{Best Practices for Creating New Thread-\/\+Safe Containers}\label{md_extra_doc_1_multithreading_autotoc_md15} +\hypertarget{md_extra_doc_1_multithreading_autotoc_md19}{}\doxysection{Best Practices for Creating New Thread-\/\+Safe Containers}\label{md_extra_doc_1_multithreading_autotoc_md19} When implementing new thread-\/safe containers in Geant4\+: @@ -279,8 +279,8 @@ \end{DoxyEnumerate} -By following these guidelines and studying the provided examples, you can create thread-\/safe containers and classes for your Geant4 simulations, ensuring proper behavior in multi-\/threaded environments.\hypertarget{md_extra_doc_1_multithreading_autotoc_md16}{}\doxysection{Troubleshooting Multi-\/threading Issues}\label{md_extra_doc_1_multithreading_autotoc_md16} -When developing new code with multi-\/threaded simulations in Geant4, you may encounter race conditions or other thread-\/related issues. Here\textquotesingle{}s a general approach to diagnose and resolve these problems\+:\hypertarget{md_extra_doc_1_multithreading_autotoc_md17}{}\doxysubsection{1. Use Valgrind Tools}\label{md_extra_doc_1_multithreading_autotoc_md17} +By following these guidelines and studying the provided examples, you can create thread-\/safe containers and classes for your Geant4 simulations, ensuring proper behavior in multi-\/threaded environments.\hypertarget{md_extra_doc_1_multithreading_autotoc_md20}{}\doxysection{Troubleshooting Multi-\/threading Issues}\label{md_extra_doc_1_multithreading_autotoc_md20} +When developing new code with multi-\/threaded simulations in Geant4, you may encounter race conditions or other thread-\/related issues. Here\textquotesingle{}s a general approach to diagnose and resolve these problems\+:\hypertarget{md_extra_doc_1_multithreading_autotoc_md21}{}\doxysubsection{1. Use Valgrind Tools}\label{md_extra_doc_1_multithreading_autotoc_md21} Valgrind provides powerful tools for detecting thread-\/related issues\+: a) Helgrind\+: @@ -297,7 +297,7 @@ \end{DoxyCode} -These tools can identify potential race conditions and other thread-\/related issues. \hypertarget{md_extra_doc_1_multithreading_autotoc_md18}{}\doxysubsection{2. Analyse the Output}\label{md_extra_doc_1_multithreading_autotoc_md18} +These tools can identify potential race conditions and other thread-\/related issues. \hypertarget{md_extra_doc_1_multithreading_autotoc_md22}{}\doxysubsection{2. Analyse the Output}\label{md_extra_doc_1_multithreading_autotoc_md22} \begin{DoxyItemize} \item Review the Valgrind output carefully. Look for\+: @@ -305,7 +305,7 @@ \item Mutex-\/related issues \item Potential deadlocks \item Tip\+: Use an LLM (like Chat\+GPT) to help interpret complex error messages and suggest potential solutions. -\end{DoxyItemize}\hypertarget{md_extra_doc_1_multithreading_autotoc_md19}{}\doxysubsection{4. Modify and repeat}\label{md_extra_doc_1_multithreading_autotoc_md19} +\end{DoxyItemize}\hypertarget{md_extra_doc_1_multithreading_autotoc_md23}{}\doxysubsection{4. Modify and repeat}\label{md_extra_doc_1_multithreading_autotoc_md23} \begin{DoxyItemize} \item Once you identify the object/method causing the error, check if it\textquotesingle{}s obviously not thread-\/safe and being shared during simulation. diff --git a/latex/md_extra_doc_2_technicalities.tex b/latex/md_extra_doc_2_technicalities.tex index 9ec682b9fd..25a587c73e 100644 --- a/latex/md_extra_doc_2_technicalities.tex +++ b/latex/md_extra_doc_2_technicalities.tex @@ -1,5 +1,28 @@ -\hypertarget{md_extra_doc_2_technicalities_autotoc_md21}{}\doxysection{Matching PMT Efficiency to Measurements}\label{md_extra_doc_2_technicalities_autotoc_md21} -In order to simulate the PMT efficiency correctly, each photon is given a weight that corresponds to the detection probability (\href{md_extra_doc_0_common.html\#autotoc_md5}{\texttt{ click here}} for more details). These weights are calculated using data files to match measurements. These data files have to be generated for each new PMT that is to be added to the framework. The module {\ttfamily efficiency\+\_\+calibration} facilitates this procedure. In the following, the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} PMT is used as an example.\hypertarget{md_extra_doc_2_technicalities_autotoc_md22}{}\doxysubsection{Step 1\+: Fraction of absorbed photons}\label{md_extra_doc_2_technicalities_autotoc_md22} +\hypertarget{md_extra_doc_2_technicalities_autotoc_md25}{}\doxysection{The Tools namespace}\label{md_extra_doc_2_technicalities_autotoc_md25} +The tools namespace provide several methods that could help you. For example, {\ttfamily \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools\+::loadtxt}}}, {\ttfamily \mbox{\hyperlink{namespace_tools_a068657387a0d190043d3e0959e84e18c}{Tools\+::linspace}}} and {\ttfamily \mbox{\hyperlink{namespace_tools_a5150dab6894acffb1c04085437e8e0b8}{Tools\+::logspace}}} operate similarly to their Python\textquotesingle{}s numpy counterparts\+: + + +\begin{DoxyCode}{0} +\DoxyCodeLine{\textcolor{preprocessor}{\#include "{}\mbox{\hyperlink{_o_m_sim_tools_8hh}{OMSimTools.hh}}"{}}} +\DoxyCodeLine{std::vector lData = \mbox{\hyperlink{namespace_tools_a6d49cd2d5cb0e03b596870bcb9c12681}{Tools::loadtxt}}(\textcolor{stringliteral}{"{}path/file\_name.txt"{}}, \textcolor{keyword}{true});} +\DoxyCodeLine{std::vector lFirstColumn = lData.at(0);} +\DoxyCodeLine{std::vector lSecondColumn = lData.at(1);} +\DoxyCodeLine{} +\DoxyCodeLine{std::vector lWavelengths = \mbox{\hyperlink{namespace_tools_a068657387a0d190043d3e0959e84e18c}{Tools::linspace}}(275, 750, 96);} +\DoxyCodeLine{std::vector lAbsLengths = \mbox{\hyperlink{namespace_tools_a5150dab6894acffb1c04085437e8e0b8}{Tools::logspace}}(-\/9, -\/4, 20);} +\DoxyCodeLine{} +\DoxyCodeLine{std::vector data = \{1, 2, 2, 3, 3, 3, 4, 4, 5\};} +\DoxyCodeLine{\textcolor{keyword}{auto} [counts, edges] = \mbox{\hyperlink{namespace_tools_ab83e877c5728fe5cbfd4c6496c88166f}{Tools::histogram}}(data, 5);} +\DoxyCodeLine{} +\DoxyCodeLine{\textcolor{comment}{// ...}} + +\end{DoxyCode} + + +\DoxyHorRuler{0} + \DoxyHorRuler{0} +\hypertarget{md_extra_doc_2_technicalities_autotoc_md27}{}\doxysection{Matching PMT Efficiency to Measurements}\label{md_extra_doc_2_technicalities_autotoc_md27} +In order to simulate the PMT efficiency correctly, each photon is given a weight that corresponds to the detection probability (\href{md_extra_doc_0_common.html\#autotoc_md5}{\texttt{ click here}} for more details). These weights are calculated using data files to match measurements. These data files have to be generated for each new PMT that is to be added to the framework. The module {\ttfamily efficiency\+\_\+calibration} facilitates this procedure. In the following, the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} PMT is used as an example.\hypertarget{md_extra_doc_2_technicalities_autotoc_md28}{}\doxysubsection{Step 1\+: Fraction of absorbed photons}\label{md_extra_doc_2_technicalities_autotoc_md28} The optical properties (refractive index, thickness, and absorption length) of the glass tube and photocathode determine the number of photons absorbed in the photocathode. The optical properties of the photocathode (defined in file {\ttfamily Surf\+\_\+\+Generic\+\_\+\+Photocathode\+\_\+20nm.\+dat}) are from this paper \href{https://arxiv.org/abs/physics/0408075}{\texttt{ https\+://arxiv.\+org/abs/physics/0408075}} . To calculate the quantum efficiency weight, we have to know how many photons are absorbed in the photocathode in the simulation. For this, go through the following steps\+: @@ -42,7 +65,7 @@ \begin{quote} {\bfseries{Note}}\+: Ensure that the QE of the PMT you intend to use is always smaller than the obtained absorbed fraction. If this is not the case you will have to change the optical properties of the photocathode and/or the tube glass! \end{quote} -If everything looks good, save the file (in the example above {\ttfamily m\+DOM\+\_\+\+Hamamatsu\+\_\+\+R15458\+\_\+\+CAT\+\_\+intrinsic\+\_\+\+QE.\+dat}) in {\ttfamily common/data/\+PMTs/measurement\+\_\+matching\+\_\+data/\+QE/} and move to step 2.\hypertarget{md_extra_doc_2_technicalities_autotoc_md23}{}\doxysubsection{Step 2\+: Expand OMSim\+PMTResponse and Verify QE}\label{md_extra_doc_2_technicalities_autotoc_md23} +If everything looks good, save the file (in the example above {\ttfamily m\+DOM\+\_\+\+Hamamatsu\+\_\+\+R15458\+\_\+\+CAT\+\_\+intrinsic\+\_\+\+QE.\+dat}) in {\ttfamily common/data/\+PMTs/measurement\+\_\+matching\+\_\+data/\+QE/} and move to step 2.\hypertarget{md_extra_doc_2_technicalities_autotoc_md29}{}\doxysubsection{Step 2\+: Expand OMSim\+PMTResponse and Verify QE}\label{md_extra_doc_2_technicalities_autotoc_md29} Each PMT has its own derived class in {\ttfamily OMSim\+PMTResponse.\+cc}. If your PMT has not class yet, create one following the other PMTs as example. In its constructor add a call to {\ttfamily configure\+QEweight\+Interpolator()} adding the file that you generated in the last step and a default QE file for this PMT. Make sure you are not creating any CE weight interpolator at this point (this happens in step 3 of this documentation), as otherwise the weights will be smaller than expected from QE only! Now run the simulation again @@ -73,7 +96,7 @@ ~\newline - \hypertarget{md_extra_doc_2_technicalities_autotoc_md24}{}\doxysubsection{Step 3\+: Matching detection efficiency scan}\label{md_extra_doc_2_technicalities_autotoc_md24} + \hypertarget{md_extra_doc_2_technicalities_autotoc_md30}{}\doxysubsection{Step 3\+: Matching detection efficiency scan}\label{md_extra_doc_2_technicalities_autotoc_md30} The last step is to create the collection efficiency weights to match the relative detection efficiency scans. For this the scan measurement is replicated in the simulation, scanning the PMT in a XY grid. The output file of the simulation of this step is a histogram with the position of absorbed photons for each beam position. @@ -90,5 +113,9 @@ \item Fit the weights using simulation data. The analysis done for the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} can be found in the notebook located in {\ttfamily documentation/notebooks/detection\+\_\+efficiency\+\_\+matching/}. \item Save the weights in a file and store it in {\ttfamily common/data/\+PMTs/measurement\+\_\+matching\+\_\+data/\+CE\+\_\+weight/} \item Add the {\ttfamily configure\+CEweight\+Interpolator()} in the constructor of your PMT class using the new file as input -\item Run the simulation again and check if the weights are correct. -\end{DoxyItemize} \ No newline at end of file +\item Run the simulation again and check if the weights are correct. +\end{DoxyItemize} + +\DoxyHorRuler{0} + \DoxyHorRuler{0} + \ No newline at end of file diff --git a/latex/md_extra_doc_30_effective_area.tex b/latex/md_extra_doc_30_effective_area.tex index 945495664d..e08179cb19 100644 --- a/latex/md_extra_doc_30_effective_area.tex +++ b/latex/md_extra_doc_30_effective_area.tex @@ -1,4 +1,4 @@ -In the folder {\ttfamily simulations/effective\+\_\+area} you find the files pertinent to the effective area studies.\hypertarget{md_extra_doc_30_effective_area_autotoc_md26}{}\doxysection{Introduction to effective areas}\label{md_extra_doc_30_effective_area_autotoc_md26} +In the folder {\ttfamily simulations/effective\+\_\+area} you find the files pertinent to the effective area studies.\hypertarget{md_extra_doc_30_effective_area_autotoc_md33}{}\doxysection{Introduction to effective areas}\label{md_extra_doc_30_effective_area_autotoc_md33} \begin{quote} {\bfseries{Note}}\+: In the following, a short introduction of an effective area study is made with the \mbox{\hyperlink{classm_d_o_m}{m\+DOM}} as an example. For further details see Chapter 10 of \href{https://www.uni-muenster.de/imperia/md/content/physik_kp/agkappes/abschlussarbeiten/doktorarbeiten/1702-phd_lclassen.pdf}{\texttt{ Lew Classen\textquotesingle{}s thesis}} or Section 9.\+3.\+5 of \href{https://zenodo.org/record/8121321}{\texttt{ Martin Unland\textquotesingle{}s thesis}}. \end{quote} During the design of a module, its sensitivity is optimised by considering the optical properties of various materials and altering the geometry and positioning of the mechanical components in the Geant4 simulation. @@ -18,7 +18,7 @@ \$\$ \textbackslash{}overline\{A\}\+\_\+\{\textbackslash{}mathrm\{eff\}\} = \textbackslash{}frac\{1\}\{n\}\textbackslash{}sum\+\_\+\{i=1\}$^\wedge$n A\+\_\+\{\textbackslash{}mathrm\{eff\}\}(\textbackslash{}theta\+\_\+i, \textbackslash{}phi\+\_\+i). \$\$ -Since the effective area is wavelength dependent, the calculation must be repeated for different wavelengths. Wavelengths shorter than 300nm are absorbed by the pressure vessel, whereas the QE of the PMT approaches zero at wavelengths longer than 700nm.\hypertarget{md_extra_doc_30_effective_area_autotoc_md27}{}\doxysection{Example using healpy}\label{md_extra_doc_30_effective_area_autotoc_md27} +Since the effective area is wavelength dependent, the calculation must be repeated for different wavelengths. Wavelengths shorter than 300nm are absorbed by the pressure vessel, whereas the QE of the PMT approaches zero at wavelengths longer than 700nm.\hypertarget{md_extra_doc_30_effective_area_autotoc_md34}{}\doxysection{Example using healpy}\label{md_extra_doc_30_effective_area_autotoc_md34} In the following, an example of the usage of the effective area module is given. Although there are C++ healpix libraries, in my opinion, the easiest way of getting the angle pair coordinates is using Healpy in Python. In principle, for short simulations, you could run the program directly from Python using the angles from healpy as input parameters\+: diff --git a/latex/md_extra_doc_32__s_n.tex b/latex/md_extra_doc_32__s_n.tex index 33fe38bf97..120fc51296 100644 --- a/latex/md_extra_doc_32__s_n.tex +++ b/latex/md_extra_doc_32__s_n.tex @@ -26,7 +26,7 @@ \item From {\ttfamily E\+\_\+ν}, the angular cross section is devised. This informs the sampling of the angle {\ttfamily θ} between the incoming neutrino and the resulting {\ttfamily e⁻/e⁺}. The {\ttfamily φ} direction is randomly generated within the range of {\ttfamily 0} to {\ttfamily 2π}. \item The energy of {\ttfamily e⁻/e⁺} is deduced from {\ttfamily θ} and {\ttfamily E\+\_\+ν}. The interaction probability for such an event is ascertained using the total cross section, facilitating the computation of the interaction weight, as further described below. \item The {\ttfamily e⁻/e⁺} is manifested at a random position within the ice volume. -\end{DoxyEnumerate}\hypertarget{md_extra_doc_32__s_n_autotoc_md30}{}\doxysection{Input Parameters}\label{md_extra_doc_32__s_n_autotoc_md30} +\end{DoxyEnumerate}\hypertarget{md_extra_doc_32__s_n_autotoc_md37}{}\doxysection{Input Parameters}\label{md_extra_doc_32__s_n_autotoc_md37} Execute {\ttfamily ./\+OMSim\+\_\+supernova -\/-\/help} to display all possible input parameters. A typical command to run the simulation is\+: @@ -36,19 +36,19 @@ \DoxyCodeLine{./OMSim\_supernova -\/n 100 -\/-\/wheight 20 -\/-\/wradius 20 -\/-\/depth\_pos 75 -\/-\/SNgun 0 -\/-\/SNtype 0} \end{DoxyCode} -\hypertarget{md_extra_doc_32__s_n_autotoc_md31}{}\doxysubsection{General Parameters}\label{md_extra_doc_32__s_n_autotoc_md31} +\hypertarget{md_extra_doc_32__s_n_autotoc_md38}{}\doxysubsection{General Parameters}\label{md_extra_doc_32__s_n_autotoc_md38} \begin{DoxyItemize} \item {\ttfamily -\/-\/depth\+\_\+pos}\+: Index of the vector determining the depth of the simulated modules. Notable values include the dust layer (65), mean ice properties (approx) 75, and the cleanes ice (88). This selection affects the effective scattering and absorption lengths of the ice at the specified depth. \item {\ttfamily -\/o}\+: Output file name. By default, two output files are created\+: one containing the simulated event information, and another with detection data. -\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md32}{}\doxysubsection{SN Framework Parameters}\label{md_extra_doc_32__s_n_autotoc_md32} +\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md39}{}\doxysubsection{SN Framework Parameters}\label{md_extra_doc_32__s_n_autotoc_md39} \begin{DoxyItemize} \item {\ttfamily -\/-\/wheight}\+: Height of the ice\textquotesingle{}s simulated world cylinder. \item {\ttfamily -\/-\/wradius}\+: Radius of the ice\textquotesingle{}s simulated world cylinder. \item {\ttfamily -\/-\/SNgun}\+: Chooses the interaction type (0 for IBD, 1 for ENES). \item {\ttfamily -\/-\/SNtype}\+: Selects the CCSN model. Two models are currently available, provided by the Garching group. These models represent the expected fluxes from two CCSNs resulting in neutron stars, with different progenitor masses (27 and 9.\+6 solar masses). Simulations yielding this data can be found at \href{https://arxiv.org/abs/1510.04643}{\texttt{ https\+://arxiv.\+org/abs/1510.\+04643}} -\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md33}{}\doxysubsection{Fixed Energy Studies}\label{md_extra_doc_32__s_n_autotoc_md33} +\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md40}{}\doxysubsection{Fixed Energy Studies}\label{md_extra_doc_32__s_n_autotoc_md40} The user can also manually set the mean energy of generated events by providing specific input parameters. For instance\+: @@ -65,8 +65,8 @@ \item {\ttfamily -\/-\/SNalpha}\+: Defines the pinching parameter of the energy distribution (see \href{https://arxiv.org/pdf/1211.3920.pdf}{\texttt{ this paper}}). \end{DoxyItemize} -Consequently, the neutrinos\textquotesingle{} energy is sampled from the distribution, derived from these two parameters and the previously mentioned model.\hypertarget{md_extra_doc_32__s_n_autotoc_md34}{}\doxysection{Output Files}\label{md_extra_doc_32__s_n_autotoc_md34} -Two files are produced\+:\hypertarget{md_extra_doc_32__s_n_autotoc_md35}{}\doxysubsection{$\ast$\+\_\+info.\+dat}\label{md_extra_doc_32__s_n_autotoc_md35} +Consequently, the neutrinos\textquotesingle{} energy is sampled from the distribution, derived from these two parameters and the previously mentioned model.\hypertarget{md_extra_doc_32__s_n_autotoc_md41}{}\doxysection{Output Files}\label{md_extra_doc_32__s_n_autotoc_md41} +Two files are produced\+:\hypertarget{md_extra_doc_32__s_n_autotoc_md42}{}\doxysubsection{$\ast$\+\_\+info.\+dat}\label{md_extra_doc_32__s_n_autotoc_md42} This file encapsulates data concerning each generated neutrino event. Each entry contains\+: @@ -91,7 +91,7 @@ \item {\ttfamily σ(\+E)} is the total cross section for the interaction, \item {\ttfamily n\+\_\+target} is the number of targets available for the interaction in the ice, \item {\ttfamily l} is the length of the simulated cylindrical world. -\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md36}{}\doxysubsection{$\ast$\+\_\+data.\+dat}\label{md_extra_doc_32__s_n_autotoc_md36} +\end{DoxyItemize}\hypertarget{md_extra_doc_32__s_n_autotoc_md43}{}\doxysubsection{$\ast$\+\_\+data.\+dat}\label{md_extra_doc_32__s_n_autotoc_md43} This file contains the detection information. Its structure is designed to facilitate various trigger studies, allowing the examination of different time windows. Users might evaluate its structure for convenience, particularly if the trigger check is integrated within the simulation (requiring a predefined time window). The default content structure is as follows\+: @@ -103,7 +103,7 @@ \end{DoxyCode} -Note that the number of columns varies per line, contingent on the number of photons detected for the simulated neutrinos.\hypertarget{md_extra_doc_32__s_n_autotoc_md37}{}\doxysection{Weights}\label{md_extra_doc_32__s_n_autotoc_md37} +Note that the number of columns varies per line, contingent on the number of photons detected for the simulated neutrinos.\hypertarget{md_extra_doc_32__s_n_autotoc_md44}{}\doxysection{Weights}\label{md_extra_doc_32__s_n_autotoc_md44} The output files contain the interaction weight. However, users should also consider a weight factor depending on the total flux and the number of simulated events. In the most general case of simulating a single depth and then extrapolating the results to the entire detector, another weight factor is needed. This factor accounts for the ice properties of the simulated depth with respect to the whole detector. This last factor decreases in importance when using high multiplicity conditions, since these events generally interact closer to the module, making the photons less sensitive to changes in the optical properties. These weight factors can be added similarly as explained in \href{https://zenodo.org/record/8107177}{\texttt{ this thesis, section 6.\+4.\+2}}. @@ -117,19 +117,19 @@ \end{DoxyCode} -Each component is explained as follows\+:\hypertarget{md_extra_doc_32__s_n_autotoc_md38}{}\doxysubsection{Interaction Probability Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md38} +Each component is explained as follows\+:\hypertarget{md_extra_doc_32__s_n_autotoc_md45}{}\doxysubsection{Interaction Probability Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md45} \begin{DoxyCode}{0} \DoxyCodeLine{W\_int(E\_ν) = σ(E) · n\_target · l,} \end{DoxyCode} - where {\ttfamily σ(E\+\_\+ν)} is the total cross section for the interaction, {\ttfamily n\+\_\+target} is the number of targets per unit of volume for such interaction, and {\ttfamily l=40 m} is the length of the generation volume along the neutrino direction axis. This is the length of the cylinder facing the CCSN.\hypertarget{md_extra_doc_32__s_n_autotoc_md39}{}\doxysubsection{Flux Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md39} + where {\ttfamily σ(E\+\_\+ν)} is the total cross section for the interaction, {\ttfamily n\+\_\+target} is the number of targets per unit of volume for such interaction, and {\ttfamily l=40 m} is the length of the generation volume along the neutrino direction axis. This is the length of the cylinder facing the CCSN.\hypertarget{md_extra_doc_32__s_n_autotoc_md46}{}\doxysubsection{Flux Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md46} \begin{DoxyCode}{0} \DoxyCodeLine{W\_flux(d) = (1 / N\_gen) · (r² / d²) · ∫ (L(t) / ) dt,} \end{DoxyCode} - where {\ttfamily r} is the cylindrical generation volume\textquotesingle{}s radius, {\ttfamily d} is the distance from Earth where the CCSN is assumed to occur, and {\ttfamily N\+\_\+gen} is the number of generated events.\hypertarget{md_extra_doc_32__s_n_autotoc_md40}{}\doxysubsection{Effective Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md40} + where {\ttfamily r} is the cylindrical generation volume\textquotesingle{}s radius, {\ttfamily d} is the distance from Earth where the CCSN is assumed to occur, and {\ttfamily N\+\_\+gen} is the number of generated events.\hypertarget{md_extra_doc_32__s_n_autotoc_md47}{}\doxysubsection{Effective Weight\+:}\label{md_extra_doc_32__s_n_autotoc_md47} \begin{DoxyCode}{0} \DoxyCodeLine{W\_eff = N\_modules · ( / V\_eff(m,z\_sim)),} diff --git a/latex/radioactive__decays_2include_2_o_m_sim_event_action_8hh__incl.pdf b/latex/radioactive__decays_2include_2_o_m_sim_event_action_8hh__incl.pdf index f22f18c2b8368b04ef9f7b091713f18be9a1b48d..7f72b5e4ce33e5a538559e8c6d76d97d85d6bf10 100644 GIT binary patch delta 17 Ycmdnxu*+dXs~n4&ftk_fPPvVY06g0UCIA2c delta 17 Ycmdnxu*+dXs~n4|iJ{5nPPvVY06g0UCIA2c diff --git a/latex/radioactive__decays_2include_2_o_m_sim_physics_list_8hh__incl.pdf b/latex/radioactive__decays_2include_2_o_m_sim_physics_list_8hh__incl.pdf index 8ab6d832b0eff32615151c6ce9aa10942d3591fb..cdf5d8e3f6ed1a0bc18f315792c36a02d0343042 100644 GIT binary patch delta 17 ZcmbPeIni>%9Vr$w12dz|52Q9S0suTA25bNT delta 17 ZcmbPeIni>%9Vr%56GM~D52Q9S0suTA25bNT diff --git a/latex/radioactive__decays_2include_2_o_m_sim_primary_generator_action_8hh__incl.pdf b/latex/radioactive__decays_2include_2_o_m_sim_primary_generator_action_8hh__incl.pdf index c1a812db6deb5b850d4365719b5b120227d18a9b..2819f829037447e9ffe171a2f99dfb010baaf252 100644 GIT binary patch delta 17 YcmaE5`^t8MsVs|`ftk@}OWBQ#06lXB-T(jq delta 17 YcmaE5`^t8MsVs}BiJ{46OWBQ#06lXB-T(jq diff --git a/latex/struct_c_a_d_mesh_1_1_file_1_1_____final_state__coll__graph.pdf b/latex/struct_c_a_d_mesh_1_1_file_1_1_____final_state__coll__graph.pdf index 02a490a9084b572c9c5882ab05a2ca265aeed7b4..a09e1a272840867e5127f2216cc0820ccbe9b8d3 100644 GIT binary patch delta 17 YcmZ2!w$f~ag(Qoaftk@}8_Bnf05tIhhyVZp delta 17 YcmZ2!w$f~ag(QoqiJ{468_Bnf05tIhhyVZp diff --git a/latex/struct_c_a_d_mesh_1_1_file_1_1_____final_state__inherit__graph.pdf b/latex/struct_c_a_d_mesh_1_1_file_1_1_____final_state__inherit__graph.pdf index 02a490a9084b572c9c5882ab05a2ca265aeed7b4..a09e1a272840867e5127f2216cc0820ccbe9b8d3 100644 GIT binary patch delta 17 YcmZ2!w$f~ag(Qoaftk@}8_Bnf05tIhhyVZp delta 17 YcmZ2!w$f~ag(QoqiJ{468_Bnf05tIhhyVZp diff --git a/latex/struct_c_a_d_mesh_1_1_file_1_1_item__coll__graph.pdf b/latex/struct_c_a_d_mesh_1_1_file_1_1_item__coll__graph.pdf index f78e8e0f1f05a5e910309e5ea800536c3c0fa888..e10c4aede92a225e86e6a91d5414579513d09c32 100644 GIT binary patch delta 17 Ycmca&bH!#uvJ8uvftk_fbeXq|06pIZMgRZ+ delta 17 Ycmca&bH!#uvJ8u delta 18 Zcmca-b

                                                                                      Table of Contents

                                                                                      -

                                                                                      This framework offers tools to simplify geometry construction and material definitions, as well as a detailed PMT response mechanism. This page provides a brief introduction to the main features.

                                                                                      -

                                                                                      +
                                                                                      +

                                                                                      Materials and User Data

                                                                                      User-defined material data are stored in JSON files under /common/data to minimize file length.

                                                                                      The OMSimInputData (see OMSimInputData.hh) loads these properties directly into the Geant4 framework. Materials loaded via this class can be retrieved using Geant4's conventional method G4Material::GetMaterial, but the framework also provides the wrapper OMSimInputData::getMaterial to handle default parameters.

                                                                                      @@ -137,28 +137,9 @@

                                                                                      Since different materials have different types of properties, the data is loaded in multiple ways. These different material types are defined in OMSimDataFileTypes.hh.

                                                                                      Additionally, geometry data used during PMT construction are also stored in JSON files (/common/data/PMTs). These are saved in a "tree" (essentially a dictionary containing the JSON file's keys and values) in OMSimInputData::mTable.

                                                                                      This approach was adopted because various PMTs are constructed similarly, eliminating the need to define a unique class for each PMT type, as is done for the optical modules.

                                                                                      -

                                                                                      If you wish to load additional data, you can either define a new type in OMSimDataFileTypes or use a json file to load it into a tree as previously mentioned. For simpler tasks, use the static method Tools::loadtxt provided by the Tools namespace.

                                                                                      -

                                                                                      -The Tools namespace

                                                                                      -

                                                                                      The tools namespace provide several methods that could help you. For example, Tools::loadtxt, Tools::linspace and Tools::logspace operate similarly to their Python's numpy counterparts:

                                                                                      -
                                                                                      #include "OMSimTools.hh"
                                                                                      -
                                                                                      std::vector<G4PV2DDataVector> lData = Tools::loadtxt("path/file_name.txt", true);
                                                                                      -
                                                                                      std::vector<G4double> lFirstColumn = lData.at(0);
                                                                                      -
                                                                                      std::vector<G4double> lSecondColumn = lData.at(1);
                                                                                      -
                                                                                      -
                                                                                      std::vector<double> lWavelengths = Tools::linspace(275, 750, 96);
                                                                                      -
                                                                                      std::vector<double> lAbsLengths = Tools::logspace(-9, -4, 20);
                                                                                      -
                                                                                      -
                                                                                      std::vector<double> data = {1, 2, 2, 3, 3, 3, 4, 4, 5};
                                                                                      -
                                                                                      auto [counts, edges] = Tools::histogram(data, 5);
                                                                                      -
                                                                                      -
                                                                                      // ...
                                                                                      - -
                                                                                      Tools::linspace
                                                                                      std::vector< double > linspace(double start, double end, int num_points, bool endpoint=true)
                                                                                      Generates a linearly spaced vector.
                                                                                      Definition: OMSimTools.cc:331
                                                                                      -
                                                                                      Tools::logspace
                                                                                      std::vector< double > logspace(double start, double end, int num_points, double base=10.0, bool endpoint=true)
                                                                                      Generates a logarithmically spaced vector.
                                                                                      Definition: OMSimTools.cc:365
                                                                                      -
                                                                                      Tools::loadtxt
                                                                                      std::vector< std::vector< double > > loadtxt(const std::string &pFilePath, bool pUnpack=true, size_t pSkipRows=0, char pDelimiter=' ', char pComments='#')
                                                                                      Reads numerical data from a file and returns it as a 2D vector. Similar to numpy.loadtxt.
                                                                                      Definition: OMSimTools.cc:265
                                                                                      -
                                                                                      Tools::histogram
                                                                                      std::pair< std::vector< double >, std::vector< double > > histogram(const std::vector< double > &data, const std::variant< int, std::vector< double >> &bins=10, const std::optional< std::pair< double, double >> &range=std::nullopt, const std::vector< double > &weights=std::vector< double >())
                                                                                      Compute the histogram of a dataset.
                                                                                      Definition: OMSimTools.cc:162
                                                                                      -

                                                                                      +

                                                                                      If you wish to load additional data, you can either define a new type in OMSimDataFileTypes or use a json file to load it into a tree as previously mentioned. For simpler tasks, use the static method Tools::loadtxt provided by the Tools namespace.

                                                                                      +
                                                                                      +

                                                                                      Geometry construction

                                                                                      Each optical module and harness is defined in its respective class, located in the /common/geometry_construction/ folder. These inherit from the virtual base class OMSimOpticalModule.

                                                                                      This inheritance ensures the definition of functions to retrieve the pressure vessel's weight (necessary for radioactive decay studies) and the count of PMTs inside the module. The OMSimOpticalModule interface inherits from abcDetectorComponent, a general helper class simplifying construction. Most OMSim geometries inherit from this class, as illustrated in the dependency diagram below:

                                                                                      @@ -168,9 +149,8 @@

                                                                                      The construction of different PMT models (e.g. the 3'' or 10'' PMTs) is quite similar. However, the frontal window shape varies among models, leading to diverse combinations of ellipsoids and spheres.

                                                                                      Cross section of simple mDOM PMT model

                                                                                      Figure 1: Cross section of simple mDOM PMT model. Image from M. Unland's thesis.
                                                                                      Side view of complex mDOM PMT model

                                                                                      - Figure 2: Side view of complex mDOM PMT model. Image from M. Unland's thesis.

                                                                                      In the complex PMT model, the photocathode has an absorption length that matches the measured quantum efficiency of the mDOM PMTs. For the other PMT models, this matching still has to be performed.

                                                                                      -
                                                                                      QE of simulation compared to measurements

                                                                                      - Figure 3: QE of simulation with the absorption length currently used compared to measurements. Image from M. Unland's thesis.

                                                                                      + Figure 2: Side view of complex mDOM PMT model. Image from M. Unland's thesis.

                                                                                      +

                                                                                      Making PMTs and OMs sensitive

                                                                                      For photon detection in both simple and complex geometries, the photons must be absorbed within the photocathode. The photocathodes are made sensitive through the OMSimSensitiveDetector class, following Geant4's G4VSensitiveDetector pattern. This configuration is achieved by invoking OMSimOpticalModule::configureSensitiveVolume (or OMSimPMTConstruction::configureSensitiveVolume when simulating a single PMT).

                                                                                      It is essential to invoke this method in the detector construction, as it needs the instance of OMSimDetectorConstruction to call G4VUserDetectorConstruction::SetSensitiveDetector for successful operation in Geant4 (refer to OMSimDetectorConstruction::registerSensitiveDetector).

                                                                                      @@ -187,9 +167,10 @@

                                                                                      abcDetectorComponent::placeIt
                                                                                      void placeIt(G4ThreeVector pPosition, G4RotationMatrix pRotation, G4LogicalVolume *&pMother, G4String pNameExtension="")
                                                                                      Placement of the DetectorComponent. Each Component is placed in the same mother.
                                                                                      Definition: abcDetectorComponent.cc:116
                                                                                      mDOM
                                                                                      Definition: OMSimMDOM.hh:15

                                                                                      Every step of a particle through the photocathode triggers the OMSimSensitiveDetector::ProcessHits method. It verifies if the particle is a photon and whether it was absorbed. For a deeper understanding of Geant4's philosophy concerning G4VSensitiveDetector, consult the Geant4 guide for application developers.

                                                                                      -

                                                                                      +
                                                                                      +

                                                                                      Storing hits and PMT response

                                                                                      -

                                                                                      +

                                                                                      PMTs Charge, transit time and detection probability

                                                                                      Warning: Only the mDOM PMT currently supports a detailed PMT response.

                                                                                      @@ -197,14 +178,15 @@

                                                                                      In OMSimPMTConstruction::configureSensitiveVolume, PMTs are associated with an instance of OMSimPMTResponse, contingent on the PMT under simulation. This class offers a precise PMT simulation by sampling from real measurements, obtaining the relative transit time, charge (in PE), and detection probability (using the measured scans from M. Unland's thesis). For details, refer to Section 9.3.4 of the linked thesis.

                                                                                      This sampling is performed for every absorbed photon in OMSimSensitiveDetector::ProcessHits invoking OMSimPMTResponse::processPhotocathodeHit. The position of the photon on the photocathode is retrieved, the 2D-histograms of the gain, SPE resolution, transit time and TTS are interpolated for that position and the charge / transit time of the photon is sampled from a Gaussian using the interpolated values as mean (in case of gain / transit time) and standard deviation (in case of SPE resolution / TTS). The detection probability is the product of the QE (dependent on the wavelength of the photon) and the collection efficiency weight (dependent on absorption position).

                                                                                      PMT response compared to measurement

                                                                                      - Figure 4: PMT response compared to measurement for different light sources. Image from M. Unland's thesis.

                                                                                      + Figure 3: PMT response compared to measurement for different light sources. Image from M. Unland's thesis.

                                                                                      The QE and collection efficiency weights are calculated to match measurements. See the section Matching PMT Efficiency to Measurements for further technicalities.

                                                                                      +
                                                                                      QE of simulation compared to measurements

                                                                                      + Figure 4: QE of simulation with the absorption length currently used compared to measurements. Image from M. Unland's thesis.
                                                                                      DE of simulation compared to measurements

                                                                                      + Figure 5: Detection efficiency simulation (left) compared to measurement (right) using the calculated collection efficiency weights. Image from M. Unland's thesis.

                                                                                      Hit storage

                                                                                      The absorbed photon data is managed by the OMSimHitManager global instance. It maintains a vector of hit information (HitStats struct) for each sensitive detector. To analyze and export this data, use the OMSimHitManager::getSingleThreadHitsOfModule method to retrieve data for the current thread, or OMSimHitManager::getMergedHitsOfModule to obtain merged data from all threads. Note that OMSimHitManager::getMergedHitsOfModule works only if OMSimHitManager::mergeThreadData has been called (happens at the end of the run when OMSimRunActio::EndOfRunAction is called). For analysis or storage at the end of an event, handle each thread separately as events end asynchronously. For practical examples, refer to the methods in OMSimEffectiveAreaAnalysis and OMSimSNAnalysis::writeDataFile.

                                                                                      -

                                                                                      An additional feature allows for the direct application of a QE cut. This ensures that only absorbed photons passing the QE test are retained in OMSimHitManager. To enable this feature, provide the "QE_cut" argument via the command line. In this case OMSimSensitiveDetector::ProcessHits will call OMSimPMTResponse::passQE and break early if it returns false, without storing the photon information.

                                                                                      -
                                                                                      -

                                                                                      Note: In most scenarios, it's not recommended to use –QE_cut since it reduces your statistics. Its presence in OMSim is primarily for testing purposes. It's generally better to perform post-analysis using the saved OMSimPMTResponse::PMTPulse::detectionProbability for each absorbed photon.

                                                                                      -
                                                                                      -

                                                                                      +

                                                                                      An additional feature allows for the direct application of a QE cut. This ensures that only absorbed photons passing the QE test are retained in OMSimHitManager. To enable this feature, provide the "QE_cut" argument via the command line. In this case OMSimSensitiveDetector::ProcessHits will call OMSimPMTResponse::passQE and break early if it returns false, without storing the photon information. In most scenarios, it's not recommended to use –QE_cut since it reduces your statistics. Its presence in OMSim is primarily for testing purposes. It's generally better to perform post-analysis using the saved OMSimPMTResponse::PMTPulse::detectionProbability for each absorbed photon.

                                                                                      +
                                                                                      +

                                                                                      Making other volumes sensitive to photons

                                                                                      For some studies, you might want a volume to detect photons, without this necessarily being a PMT. For such cases, the framework has a provision in place: use the OMSimSensitiveDetector and pass DetectorType::GeneralPhotonDetector as its constructor argument.

                                                                                      In this case, the OMSimSensitiveDetector::ProcessHits will use an instance NoResponse as PMT response, which is just a dummy placeholder.
                                                                                      @@ -230,7 +212,7 @@

                                                                                      diff --git a/md_extra_doc_1_multithreading.html b/md_extra_doc_1_multithreading.html index 1473fb94a6..3c17996fcd 100644 --- a/md_extra_doc_1_multithreading.html +++ b/md_extra_doc_1_multithreading.html @@ -117,22 +117,22 @@

                                                                                      Table of Contents

                                                                                      -

                                                                                      The OMSim-Framework allows for multi-threading. The number of threads can be controlled with the --threads argument (default 1). If you specify more threads than available, only the maximum available will be used.

                                                                                      -

                                                                                      +

                                                                                      Introduction

                                                                                      Geant4 implements multi-threading using a master-worker model:

                                                                                        @@ -144,7 +144,7 @@

                                                                                      1. Each thread has its own instance of sensitive detectors, event and tracking managers.
                                                                                      2. Random number generators are designed to produce independent streams for each thread.

                                                                                    -

                                                                                    +

                                                                                    Thread Safety Guidelines

                                                                                    1. Use Thread-Local Storage: For data unique to each thread, use G4ThreadLocal.
                                                                                      2. @@ -152,7 +152,7 @@

                                                                                    2. Minimize Global Variables: Prefer class members or local variables instead.
                                                                                    3. Implement Thread-Safe Containers: Ensure thread-safe access and modification of containers.

                                                                                    -

                                                                                    +

                                                                                    Thread-Safe Global Instance Implementation

                                                                                    Both OMSimHitManager and OMSimDecaysAnalysis utilize a global instance pattern. This approach provides better control over the lifecycle of the instance and can prevent potential memory leaks when integrated into larger frameworks. The process works as follows:

                                                                                      @@ -200,7 +200,7 @@

                                                                                      Note: While this global instance implementation provides better control over the instance lifecycle, it requires explicit initialization and shutdown. Ensure these are called at appropriate times (single-thread) in your application (for example in main before/after run).

                                                                                      -

                                                                                      +

                                                                                      Example: OMSimHitManager

                                                                                      The OMSimHitManager class demonstrates several thread-safety techniques for saving data:

                                                                                      class OMSimHitManager
                                                                                      @@ -258,7 +258,7 @@

                                                                                      Important: Call mergeThreadData after all threads have finished simulating (after a run has completed).

                                                                                      -

                                                                                      +

                                                                                      Example: Saving Data Per Thread

                                                                                      In scenarios where merging data is unnecessary, or the amount of data is too large to wait until end of run, each thread can save its data in separate files. This is demonstrated in the OMSimDecaysAnalysis class.

                                                                                        @@ -324,7 +324,7 @@

                                                                                        lAnalysisManager.reset();
                                                                                        }
                                                                                        OMSimDecaysAnalysis::writeMultiplicity
                                                                                        void writeMultiplicity(G4double pTimeWindow)
                                                                                        Calls calculateMultiplicity and writes the results to the output file.
                                                                                        Definition: OMSimDecaysAnalysis.cc:53
                                                                                        -

                                                                                        +

                                                                                        Best Practices for Creating New Thread-Safe Containers

                                                                                        When implementing new thread-safe containers in Geant4:

                                                                                          @@ -353,16 +353,16 @@

                                                                                        By following these guidelines and studying the provided examples, you can create thread-safe containers and classes for your Geant4 simulations, ensuring proper behavior in multi-threaded environments.

                                                                                        -

                                                                                        +

                                                                                        Troubleshooting Multi-threading Issues

                                                                                        When developing new code with multi-threaded simulations in Geant4, you may encounter race conditions or other thread-related issues. Here's a general approach to diagnose and resolve these problems:

                                                                                        -

                                                                                        +

                                                                                        1. Use Valgrind Tools

                                                                                        Valgrind provides powerful tools for detecting thread-related issues:

                                                                                        a) Helgrind:

                                                                                        valgrind --log-file="output_helgrind.txt" --tool=helgrind ./OMSim_* [arguments]

                                                                                        b) DRD (Data Race Detector):

                                                                                        valgrind --log-file="output_helgrind.txt" --tool=drd ./OMSim_* [arguments]

                                                                                        These tools can identify potential race conditions and other thread-related issues.

                                                                                        -

                                                                                        +

                                                                                        2. Analyse the Output

                                                                                        • Review the Valgrind output carefully. Look for:
                                                                                          • @@ -371,7 +371,7 @@

                                                                                        • Potential deadlocks
                                                                                        • Tip: Use an LLM (like ChatGPT) to help interpret complex error messages and suggest potential solutions.

                                                                                        -

                                                                                        +

                                                                                        4. Modify and repeat

                                                                                        • Once you identify the object/method causing the error, check if it's obviously not thread-safe and being shared during simulation.
                                                                                          • @@ -385,7 +385,7 @@

                                                                                          diff --git a/md_extra_doc_2_technicalities.html b/md_extra_doc_2_technicalities.html index 2cdef3f2f1..197f694cf7 100644 --- a/md_extra_doc_2_technicalities.html +++ b/md_extra_doc_2_technicalities.html @@ -117,17 +117,40 @@

                                                                                          Table of Contents

                                                                                          -
                                                                                          -

                                                                                          +

                                                                                          +The Tools namespace

                                                                                          +

                                                                                          The tools namespace provide several methods that could help you. For example, Tools::loadtxt, Tools::linspace and Tools::logspace operate similarly to their Python's numpy counterparts:

                                                                                          +
                                                                                          #include "OMSimTools.hh"
                                                                                          +
                                                                                          std::vector<G4PV2DDataVector> lData = Tools::loadtxt("path/file_name.txt", true);
                                                                                          +
                                                                                          std::vector<G4double> lFirstColumn = lData.at(0);
                                                                                          +
                                                                                          std::vector<G4double> lSecondColumn = lData.at(1);
                                                                                          +
                                                                                          +
                                                                                          std::vector<double> lWavelengths = Tools::linspace(275, 750, 96);
                                                                                          +
                                                                                          std::vector<double> lAbsLengths = Tools::logspace(-9, -4, 20);
                                                                                          +
                                                                                          +
                                                                                          std::vector<double> data = {1, 2, 2, 3, 3, 3, 4, 4, 5};
                                                                                          +
                                                                                          auto [counts, edges] = Tools::histogram(data, 5);
                                                                                          +
                                                                                          +
                                                                                          // ...
                                                                                          + +
                                                                                          Tools::linspace
                                                                                          std::vector< double > linspace(double start, double end, int num_points, bool endpoint=true)
                                                                                          Generates a linearly spaced vector.
                                                                                          Definition: OMSimTools.cc:331
                                                                                          +
                                                                                          Tools::logspace
                                                                                          std::vector< double > logspace(double start, double end, int num_points, double base=10.0, bool endpoint=true)
                                                                                          Generates a logarithmically spaced vector.
                                                                                          Definition: OMSimTools.cc:365
                                                                                          +
                                                                                          Tools::loadtxt
                                                                                          std::vector< std::vector< double > > loadtxt(const std::string &pFilePath, bool pUnpack=true, size_t pSkipRows=0, char pDelimiter=' ', char pComments='#')
                                                                                          Reads numerical data from a file and returns it as a 2D vector. Similar to numpy.loadtxt.
                                                                                          Definition: OMSimTools.cc:265
                                                                                          +
                                                                                          Tools::histogram
                                                                                          std::pair< std::vector< double >, std::vector< double > > histogram(const std::vector< double > &data, const std::variant< int, std::vector< double >> &bins=10, const std::optional< std::pair< double, double >> &range=std::nullopt, const std::vector< double > &weights=std::vector< double >())
                                                                                          Compute the histogram of a dataset.
                                                                                          Definition: OMSimTools.cc:162
                                                                                          +
                                                                                          +
                                                                                          +

                                                                                          Matching PMT Efficiency to Measurements

                                                                                          In order to simulate the PMT efficiency correctly, each photon is given a weight that corresponds to the detection probability (click here for more details). These weights are calculated using data files to match measurements. These data files have to be generated for each new PMT that is to be added to the framework. The module efficiency_calibration facilitates this procedure. In the following, the mDOM PMT is used as an example.

                                                                                          -

                                                                                          +

                                                                                          Step 1: Fraction of absorbed photons

                                                                                          The optical properties (refractive index, thickness, and absorption length) of the glass tube and photocathode determine the number of photons absorbed in the photocathode. The optical properties of the photocathode (defined in file Surf_Generic_Photocathode_20nm.dat) are from this paper https://arxiv.org/abs/physics/0408075 .

                                                                                          To calculate the quantum efficiency weight, we have to know how many photons are absorbed in the photocathode in the simulation. For this, go through the following steps:

                                                                                            @@ -158,7 +181,7 @@

                                                                                            Note: Ensure that the QE of the PMT you intend to use is always smaller than the obtained absorbed fraction. If this is not the case you will have to change the optical properties of the photocathode and/or the tube glass!

                                                                                            If everything looks good, save the file (in the example above mDOM_Hamamatsu_R15458_CAT_intrinsic_QE.dat) in common/data/PMTs/measurement_matching_data/QE/ and move to step 2.

                                                                                            -

                                                                                            +

                                                                                            Step 2: Expand OMSimPMTResponse and Verify QE

                                                                                            Each PMT has its own derived class in OMSimPMTResponse.cc. If your PMT has not class yet, create one following the other PMTs as example. In its constructor add a call to configureQEweightInterpolator() adding the file that you generated in the last step and a default QE file for this PMT. Make sure you are not creating any CE weight interpolator at this point (this happens in step 3 of this documentation), as otherwise the weights will be smaller than expected from QE only!

                                                                                            Now run the simulation again

                                                                                            ./OMSim_efficiency_calibration --pmt_model 0 --simulation_step 2 -n 100000 --threads 4 --detail_pmt --output_file step2
                                                                                            @@ -176,7 +199,7 @@

                                                                                            plt.grid()
                                                                                            plt.legend()


                                                                                            -

                                                                                            +

                                                                                          Step 3: Matching detection efficiency scan

                                                                                          The last step is to create the collection efficiency weights to match the relative detection efficiency scans. For this the scan measurement is replicated in the simulation, scanning the PMT in a XY grid. The output file of the simulation of this step is a histogram with the position of absorbed photons for each beam position.

                                                                                            @@ -188,15 +211,17 @@

                                                                                          • Fit the weights using simulation data. The analysis done for the mDOM can be found in the notebook located in documentation/notebooks/detection_efficiency_matching/.
                                                                                          • Save the weights in a file and store it in common/data/PMTs/measurement_matching_data/CE_weight/
                                                                                          • Add the configureCEweightInterpolator() in the constructor of your PMT class using the new file as input
                                                                                            • -
                                                                                          • Run the simulation again and check if the weights are correct.
                                                                                            • +
                                                                                          • Run the simulation again and check if the weights are correct.

                                                                                          -
                                                                                          +
                                                                                          +
                                                                                          + diff --git a/md_extra_doc_30_effective_area.html b/md_extra_doc_30_effective_area.html index 58509d0a31..8f29fafdb9 100644 --- a/md_extra_doc_30_effective_area.html +++ b/md_extra_doc_30_effective_area.html @@ -117,12 +117,12 @@

                                                                                          Table of Contents

                                                                                          -

                                                                                          In the folder simulations/effective_area you find the files pertinent to the effective area studies.

                                                                                          -

                                                                                          +

                                                                                          Introduction to effective areas

                                                                                          Note: In the following, a short introduction of an effective area study is made with the mDOM as an example. For further details see Chapter 10 of Lew Classen's thesis or Section 9.3.5 of Martin Unland's thesis.

                                                                                          @@ -136,7 +136,7 @@

                                                                                          where N_det is the number of photons detected by the module. To optimise the sensitivity over multiple directions, A_eff(θ, φ) is calculated for various angle pairs, and the mean effective area, A_eff_mean, is determined. The n angle pairs are chosen using healpix, which separates a sphere into n pixels of equal area. Thus,

                                                                                          $$ \overline{A}_{\mathrm{eff}} = \frac{1}{n}\sum_{i=1}^n A_{\mathrm{eff}}(\theta_i, \phi_i). $$

                                                                                          Since the effective area is wavelength dependent, the calculation must be repeated for different wavelengths. Wavelengths shorter than 300nm are absorbed by the pressure vessel, whereas the QE of the PMT approaches zero at wavelengths longer than 700nm.

                                                                                          -

                                                                                          +

                                                                                          Example using healpy

                                                                                          In the following, an example of the usage of the effective area module is given. Although there are C++ healpix libraries, in my opinion, the easiest way of getting the angle pair coordinates is using Healpy in Python.

                                                                                          In principle, for short simulations, you could run the program directly from Python using the angles from healpy as input parameters:

                                                                                          @@ -171,7 +171,7 @@

                                                                                          diff --git a/md_extra_doc_31_radioactive_decays.html b/md_extra_doc_31_radioactive_decays.html index fbb0055119..a74877a2db 100644 --- a/md_extra_doc_31_radioactive_decays.html +++ b/md_extra_doc_31_radioactive_decays.html @@ -141,7 +141,7 @@ diff --git a/md_extra_doc_32__s_n.html b/md_extra_doc_32__s_n.html index 8bbb7eb039..61ec3438de 100644 --- a/md_extra_doc_32__s_n.html +++ b/md_extra_doc_32__s_n.html @@ -117,18 +117,18 @@

                                                                                          Table of Contents

                                                                                          -

                                                                                      -

                                                                                      +

                                                                                      Input Parameters

                                                                                      Execute ./OMSim_supernova --help to display all possible input parameters.

                                                                                      A typical command to run the simulation is:

                                                                                      ./OMSim_supernova -n 100 --wheight 20 --wradius 20 --depth_pos 75 --SNgun 0 --SNtype 0
                                                                                      -

                                                                                      +

                                                                                      General Parameters

                                                                                      • --depth_pos: Index of the vector determining the depth of the simulated modules. Notable values include the dust layer (65), mean ice properties (approx) 75, and the cleanes ice (88). This selection affects the effective scattering and absorption lengths of the ice at the specified depth.
                                                                                      • -o: Output file name. By default, two output files are created: one containing the simulated event information, and another with detection data.
                                                                                      -

                                                                                      +

                                                                                      SN Framework Parameters

                                                                                      • --wheight: Height of the ice's simulated world cylinder.
                                                                                        • @@ -171,7 +171,7 @@

                                                                                      • --SNgun: Chooses the interaction type (0 for IBD, 1 for ENES).
                                                                                      • --SNtype: Selects the CCSN model. Two models are currently available, provided by the Garching group. These models represent the expected fluxes from two CCSNs resulting in neutron stars, with different progenitor masses (27 and 9.6 solar masses). Simulations yielding this data can be found at https://arxiv.org/abs/1510.04643

                                                                                      -

                                                                                      +

                                                                                      Fixed Energy Studies

                                                                                      The user can also manually set the mean energy of generated events by providing specific input parameters. For instance:

                                                                                      --SNfixEnergy --SNmeanE 10.0 --SNalpha 3.0
                                                                                      @@ -181,10 +181,10 @@

                                                                                    1. --SNalpha: Defines the pinching parameter of the energy distribution (see this paper).

                                                                                  Consequently, the neutrinos' energy is sampled from the distribution, derived from these two parameters and the previously mentioned model.

                                                                                  -

                                                                                  +

                                                                                  Output Files

                                                                                  Two files are produced:

                                                                                  -

                                                                                  +

                                                                                  *_info.dat

                                                                                  This file encapsulates data concerning each generated neutrino event. Each entry contains:

                                                                                    @@ -201,28 +201,28 @@

                                                                                  • n_target is the number of targets available for the interaction in the ice,
                                                                                  • l is the length of the simulated cylindrical world.

                                                                                  -

                                                                                  +

                                                                                  *_data.dat

                                                                                  This file contains the detection information. Its structure is designed to facilitate various trigger studies, allowing the examination of different time windows. Users might evaluate its structure for convenience, particularly if the trigger check is integrated within the simulation (requiring a predefined time window).

                                                                                  The default content structure is as follows:

                                                                                  Nr of sim. modules > Number of hits per module > for each PMT hit starting with module 0: { PMT number | Hit time | Det. probability }

                                                                                  Note that the number of columns varies per line, contingent on the number of photons detected for the simulated neutrinos.

                                                                                  -

                                                                                  +

                                                                                  Weights

                                                                                  The output files contain the interaction weight. However, users should also consider a weight factor depending on the total flux and the number of simulated events. In the most general case of simulating a single depth and then extrapolating the results to the entire detector, another weight factor is needed. This factor accounts for the ice properties of the simulated depth with respect to the whole detector. This last factor decreases in importance when using high multiplicity conditions, since these events generally interact closer to the module, making the photons less sensitive to changes in the optical properties.

                                                                                  These weight factors can be added similarly as explained in this thesis, section 6.4.2.

                                                                                  The total weight is composed of 3 components: the interaction probability, the SN flux through the simulated volume, and the different optical properties of the modules at different depths:

                                                                                  W = W_int(E) · W_flux(d) · W_eff.

                                                                                  Each component is explained as follows:

                                                                                  -

                                                                                  +

                                                                                  Interaction Probability Weight:

                                                                                  W_int(E_ν) = σ(E) · n_target · l,

                                                                                  where σ(E_ν) is the total cross section for the interaction, n_target is the number of targets per unit of volume for such interaction, and l=40 m is the length of the generation volume along the neutrino direction axis. This is the length of the cylinder facing the CCSN.

                                                                                  -

                                                                                  +

                                                                                  Flux Weight:

                                                                                  W_flux(d) = (1 / N_gen) · (r² / d²) · ∫ (L(t) / <E(t)>) dt,

                                                                                  where r is the cylindrical generation volume's radius, d is the distance from Earth where the CCSN is assumed to occur, and N_gen is the number of generated events.

                                                                                  -

                                                                                  +

                                                                                  Effective Weight:

                                                                                  W_eff = N_modules · (<V_eff(m)> / V_eff(m,z_sim)),

                                                                                  where N_modules is the total modules in the simulated detector, V_eff(m, z_sim) is the effective volume at the simulation depth, and <V_eff(m)> is the mean effective volume for all modules in simulated detector. The term m represents multiplicity, defined as the count of different PMTs within a single module that detected the event within a specific time window.

                                                                                  @@ -250,7 +250,7 @@

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