From eac090f71a9b1ebcb091efee01b861ed61bf9ed6 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Thu, 4 Apr 2024 17:55:31 +0200 Subject: [PATCH] Project: implement statistical inference with RooFit in the AGC --- projects/agc-roofit-2024.yml | 47 ++++++++++++++++++++++++++++++++++++ 1 file changed, 47 insertions(+) create mode 100644 projects/agc-roofit-2024.yml diff --git a/projects/agc-roofit-2024.yml b/projects/agc-roofit-2024.yml new file mode 100644 index 0000000..c6f90dc --- /dev/null +++ b/projects/agc-roofit-2024.yml @@ -0,0 +1,47 @@ +--- +name: Statistical treatment of the AGC results with RooFit +postdate: 2024-04-04 +categories: + - Analysis tools + - Open science +durations: + - 3 months +experiments: + - CMS + - HLLHC +skillset: + - Python + - C++ +status: + - Available +project: + - IRIS-HEP +location: + - Any +commitment: + - Full time +program: + - IRIS-HEP fellow +shortdescription: Implement estimation of physics model parameters of the AGC with RooFit +description: > + The IRIS-HEP Analysis Grand Challenge (AGC) is a realistic environment for + investigating how high energy physics data analysis workflows scale to the + demands of the High-Luminosity LHC (HL-LHC). The project offers a blueprint + for HEP analysis applications that can be implemented using different tools + and approaches. One of the implementations offered is done with ROOT, the tool + for storing, processing and data analysis used by LHC experiments. In + particular, it demonstrates usage of the RDataFrame high-level interface for + data analysis in the CMS ttbar OpenData application. At the same time, it + lacks the final steps of the AGC workflow, which involve the estimation of + physics model parameters from the output histograms using the maximum + likelihood method. The objective of this project is adding those steps via + RooFit, the tool provided by ROOT for statistical analysis and advanced + fitting, showcasing the use of such tool in a Python environment. + +contacts: + - name: Jonas Rembser + email: jonas.rembser@cern.ch + - name: Alexander Held + email: alexander.held@cern.ch + +mentees: