In the present repository you can find the final project assigned as part of the course Advanced Statistics For Physics Analysis at the University of Padua.
- Clara Eminente (University of Padova)
- Matteo Guida (University of Padova)
- Professor Alberto Garfagnini (University of Padova, INFN)
We investigate a spectrum coming from the combination of three sources and collected by a Germanium detector. We recognize in the spectrum the following processes which are going to be analyzed.
The final goal of this analysis is to evaluate the number of counts under each of the considered peaks. Taken into account a reduced range of channels we consider several models, that can be found [1], for each process and get the distributions of the parameters of the selected model from the Markov Chain Monte Carlo (MCMC) obtained through a Gibbs sampler using the package rJAGS. All results and details can be found in the project file.
[1] R.G. Helmer, M.A. Lee, Analytical functions for fitting peaks from Ge semiconductor detectors
[2] Laboratoire national Henri Becquerel, tables of eveluated data on radioactive nuclides