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Make config template input-type independent. #393

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4 changes: 2 additions & 2 deletions .github/workflows/ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -94,6 +94,6 @@ jobs:
cd config
galsim flat.yaml image.counts_per_pixel=500
galsim flat_with_sed.yaml image.counts_per_pixel=5
galsim imsim-skycat.yaml image.nobjects=10
cd ../examples
galsim imsim-user.yaml image.nobjects=10
galsim imsim-user-instcat.yaml image.nobjects=10
galsim imsim-user-skycat.yaml image.nobjects=10
376 changes: 376 additions & 0 deletions config/imsim-config-instcat.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,376 @@

# This config file is configures the imSim modules with default behavior.
# This file is designed to be used as a template and the values can be
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# overridden.

# This tells GalSim which things to import to register extra config types
# Mostly we need the imsim repo. But could add others here as well.
# E.g. galsim_extra has some useful routines we might want to use. (But I don't here.)
modules:
- imsim
- astropy # I don't really understand why this is required. But if only have astropy.time
# then I get a NameError when trying to parse astropy.time.Time.
- astropy.time # Need this for an Eval. Tell GalSim to have it loaded.

# Anything set here can be used in any Eval (usually a string that starts with $) as a variable.
# This is often convenient, so they can be set just once (probably from the command line) and
# used in multiple places.
eval_variables:
# The first letters of these variables indicates the type.
# c = CelestialCoord
# a = Angle
# s = string
# f = float
# So to use one of these in an Eval string, you would write just boresight,
# not cboresight.
cboresight:
type: RADec
ra:
type: Degrees
theta: { type: OpsimData, field: fieldRA }
dec:
type: Degrees
theta: { type: OpsimData, field: fieldDec }

aazimuth:
type: Degrees
theta: { type: OpsimData, field: azimuth }
aaltitude:
type: Degrees
theta: { type: OpsimData, field: altitude }
arotTelPos:
type: Degrees
theta: { type: OpsimData, field: rotTelPos }

sband: { type: OpsimData, field: band }

fexptime: { type: OpsimData, field: exptime }


# Any input data is set here. These are read in at the start of the program and
# potentially updated for each output file. Also includes things that need some
# set up at the start of an exposure, like the atmospheric PSF.
input:

instance_catalog:
# This should be overridden below or on the command line.
file_name: default_catalog_file.txt
sed_dir: $os.environ.get('SIMS_SED_LIBRARY_DIR')

opsim_data:
# Read the visit meta data by default we use the same file as the input.
# However you could specify a opsim file or a another instance catalog
# instead.
file_name: '@input.instance_catalog.file_name'


telescope:
file_name:
type: FormattedStr
format : LSST_%s.yaml
items:
- { type: OpsimData, field: band }
rotTelPos: $rotTelPos

sky_model:
# Use the rubin_sim.skybrightness model to compute the sky
# background level.
exptime: $exptime
mjd: { type: OpsimData, field: mjd }

atm_psf:
# This enables the AtmosphericPSF type for the PSF

# The first 4 items are required.
airmass: { type: OpsimData, field: airmass }
rawSeeing: { type: OpsimData, field: rawSeeing }
band: { type: OpsimData, field: band }
boresight: "$boresight"

# Optional parameters: (Unless otherwise stated, these are the default values.)
t0: 0 # seconds
exptime: $exptime
kcrit: 0.2 # in units of 1/r0
screen_size: 409.6 # Default=812.2, which takes a lot of memory, so use this for testing.
screen_scale: 0.1 # meters
doOpt: False
nproc: 1 # Default (None) means one proc per screen.

# TODO:
#save_file: {} # This is currently set of the imsim command line, so we could keep
# doing that, but we could also base this name off of
# input.instance_catalog.file_name, or even just have `save: True`
# and let the atm_psf figure out a unique name from the input params.

tree_rings:
# This enables TreeRingCenter and TreeRungFunc, which are stored as a dict here based
# on the detector name, so the right value can be accessed for each object.
# This file lives in the imsim repo.
file_name: "tree_ring_parameters_2018-04-26.txt"
# Can limit the detectors to read in. This is handy while debugging, since it takes
# half a minute or so to read all 189 detectors (the default behavior).
# only_dets: [R22_S11]

checkpoint:
dir: checkpoint
file_name:
type: FormattedStr
format : checkpoint_%08d-%s.hdf
items:
- { type: OpsimData, field: observationId }
- "$det_name"

vignetting:
file_name: LSSTCam_vignetting_data.json

# Define how the objects are placed on the image. This refers to a single CCD.
image:
type: LSST_Image

random_seed: { type: OpsimData, field: seed }

nproc: 1 # Can set this to -1 to use all CPUs if you want. That probably won't be
# particularly efficient until we switch to using MakePhot rather than DrawImage.
# Right now, there is a significant overhead passing the drawn stamps back to
# the main process for all of the (many) vert faint sources, which only shoot
# a small numer of photons.

xsize: "$xsize"
ysize: "$ysize"

bandpass: { type: OpsimBandpass }

wcs:
type: Batoid

# These are required:
camera: "@output.camera"
boresight: "$boresight"

obstime:
type: Eval
str: "astropy.time.Time(mjd_val, format='mjd', scale='tai')"
fmjd_val: { type: OpsimData, field: mjd }

det_name: $det_name
wavelength: "$(@image.bandpass).effective_wavelength"

# The rest can be omitted, since these are the default values, but shown here
# for reference.
temperature: 280 # Kelvin
pressure: 72.7 # kPa
H2O_pressure: 1.0 # kPa
order: 3 # Order of the SIP polynomial

camera: "@output.camera"

noise:
type: CCD
gain: 1
read_noise: 0 # The read noise is applied later. Only sky noise here.

sky_level: { type: SkyLevel } # Computed from input.sky_model.

apply_sky_gradient: True

use_flux_sky_areas: False # This means don't bother with the BFE from sky flux when computing
# the pixel areas for drawing the sky.
# This is the default. But set to true to get BF in sky.
# TODO: The True option is a one step flux calculation, so it's not
# yet right for doing flats. Aspirationally, I'd like it to be
# possible to make flats simply by setting this to true and
# cranking up the sky flux to something appropriate.

sensor:
type: Silicon
strength: 1.0
index_key: image_num # This tells GalSim that this only changes with a new image num.
treering_center: { type: TreeRingCenter, det_name: $det_name }
treering_func: { type: TreeRingFunc, det_name: $det_name }


# Define the PSF to use in the normal case (LSST_Silicon will override if doing a saturated star)
psf:
type: Convolve
items:
-
# Note: This type requires the "input" type atm_psf.
# It's not really an input in the normal sense, since it doesn't read
# in a file. But it needs to do some setup at the start, which all
# objects will use. So functionally, this works like an input type.
# All of the relevant configurable parameters are set there.
type: AtmosphericPSF
-
# An additional Gaussian profile to represent contributions of physical effects
# not otherwise explicitly modeled in either the Optical or Atmospheric parts.
# This value of 0.3 arcsec is appropriate when doOpt=True and sensor effects are
# being modeled. If this is not the case, then it may be appropriate to increase
# this value to account for the missing contribution of these effects.
type: Gaussian
fwhm: 0.3

stamp:
type: LSST_Silicon

fft_sb_thresh: 2.e5 # When to switch to fft and a simpler PSF and skip silicon
max_flux_simple: 100 # When to switch to simple SED
airmass: { type: OpsimData, field: airmass }
rawSeeing: { type: OpsimData, field: rawSeeing }
band: { type: OpsimData, field: band }
camera: "@output.camera"
det_name: "$det_name" # This is automatically defined by the LSST_CCD output type.

diffraction_psf:
exptime: { type: OpsimData, field: exptime }
azimuth:
type: Degrees
theta: { type: OpsimData, field: azimuth }
altitude:
type: Degrees
theta: { type: OpsimData, field: altitude }
rotTelPos:
type: Degrees
theta: { type: OpsimData, field: rotTelPos }

photon_ops:
-
type: TimeSampler
t0: 0.0
exptime: $exptime
-
type: PupilAnnulusSampler
R_outer: 4.18
R_inner: 2.55 # M1 inner diameter is 2.558, but we need a bit of slack for off-axis rays
-
type: PhotonDCR
base_wavelength: $bandpass.effective_wavelength
latitude: -30.24463 degrees
HA:
type: Degrees
theta: { type: OpsimData, field: HA }
-
type: RubinDiffractionOptics
boresight: "$boresight"
camera: "@output.camera"
altitude: $altitude
azimuth: $azimuth
-
# Note: If FocusDepth is before Refraction, then the depth is the amount of focus
# change required relative to the rays coming to a focus at the surface.
# If FocusDepth is after Refraction, then the depth is the actual depth in
# the silicon where the (refracted) rays come to a focus.
type: FocusDepth
depth:
type: Eval
str: depth_dict[band]
# TODO: Figure out the depth to use for other bands. Josh found -0.6 for y.
# These numbers are in units of pixels.
ddepth_dict: {'u':0, 'g':0, 'r':0, 'i':0, 'z':0, 'y':-0.6}
sband: { type: OpsimData, field: band }
-
type: Refraction
index_ratio: 3.9 # TODO: This is what Josh used for y band.
# I assume it's wavelength dependent...
# Probably need to use the same kind of pattern as above for depth.

world_pos:
type: InstCatWorldPos

# This defines both the output files and some basic things about the overall exposure/fov.
output:
type: LSST_CCD
nproc: 1 # Change this to work on multiple CCDs at once.
nfiles: 1 # Default is all 189 CCDs. Set to 1 while testing.

camera: LsstCam

exptime: $exptime

cosmic_ray_rate: 0.2

det_num:
type: Sequence
nitems: 189
first: 94 # Can set first to something if you want to do a specific sensor.

dir: fits
file_name:
type: FormattedStr
format : eimage_%08d-%1d-%s-%s-det%03d.fits
items:
- { type: OpsimData, field: observationId }
- { type: OpsimData, field: snap }
- { type: OpsimData, field: band }
- "$det_name" # A value stored in the dict by LSST_CCD
- "@output.det_num"

readout:
# Convert from e-image to realized amp images
readout_time: 3.
dark_current: 0.02
bias_level: 1000.
pcti: 1.e-6
scti: 1.e-6

file_name:
type: FormattedStr
format : amp_%08d-%1d-%s-%s-det%03d.fits.fz
items:
- { type: OpsimData, field: observationId }
- { type: OpsimData, field: snap }
- { type: OpsimData, field: band }
- "$det_name"
- "@output.det_num"

truth:
dir: output
file_name:
type: FormattedStr
format : centroid_%08d-%1d-%s-%s-det%03d.txt.gz
items:
- { type: OpsimData, field: observationId }
- { type: OpsimData, field: snap }
- { type: OpsimData, field: band }
- "$det_name"
- "@output.det_num"
columns:
object_id: "@object_id"
ra: "$sky_pos.ra.deg"
dec: "$sky_pos.dec.deg"
x: "$image_pos.x"
y: "$image_pos.y"
# TODO: ... more probably

gal:
type: InstCatObj

# Including the material below doesn't work. I am going to manually inject the
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# entries above. :(
#
# Hopefully this will be replaced soon.

################################################################
# Above is template material.
#
# Make changes specific to this input method below.
# When GalSim allows nested templates we will replace this with a
# template call
################################################################

# input.instance_catalog:
# # This should be overridden below or on the command line.
# file_name: default_catalog_file.txt
# sed_dir: $os.environ.get('SIMS_SED_LIBRARY_DIR')

# input.opsim_data:
# # Read the visit meta data by default we use the same file as the input.
# # However you could specify a opsim file or a another instance catalog
# # instead.
# file_name: '@input.instance_catalog.file_name'

# Define the galaxy type and positions to use
# gal:
# type: InstCatObj

# stamp.world_pos:
# type: InstCatWorldPos
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