Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adding optimisation of diphoton mass resolution categorisation #34

Open
JaLuka98 opened this issue Aug 4, 2023 · 0 comments
Open

Adding optimisation of diphoton mass resolution categorisation #34

JaLuka98 opened this issue Aug 4, 2023 · 0 comments

Comments

@JaLuka98
Copy link
Contributor

JaLuka98 commented Aug 4, 2023

The categorisation of events is very important to enhance the sensitivity. In the case of the fiducial/differential analysis (c.f. e.g. CMS-HIG-19-016), we categorise in the diphoton invariant mass resolution.

The optimisation algorithm is given in the thesis by Thomas, chapter 6.5.2 (whole of chap 6.5 is very helpful). We should implement it like this!

A further step has to be included as well: The decorrelation of sigma_m_over_m against m_yy itself to avoid mass sculpting effects. This is usually done using the Diphoton Sherpa samples. They are currently still being produced but first files are coming in, see the DAS link. For the optimisation itself, also G+Jet samples appear to be used.

Additions should go to this branch: dev_higgsdnafinalfit

NB: Related to HiggsDNA-MR67

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant