# Private:Student Projects

### Project 1

PDF for dark scalar boson (Click "Expand" to the right for more details -->):

- Determine the Probability Density Function (PDF) of the dark scalar gauge boson, S, for the process gamma proton -> eta + proton, eta -> S + pi0, S -> gamma gamma. Since the hypothetical S mass is unknown, the PDF has to be determined for all masses between ~ a few MeV/c^2 and ~ 420 MeV/c^2 scannable by JEF. This can be done in 3 steps:

- Determine PDF for fixed masses from histograms I will provide
- Parametrize the PDF vs mass and possibly vs incident photon-beam energy
- Toy Monte Carlo simulation study to show that the model is not introducing biases for our observables#:

### Project 2

Island Algorithm (Click "Expand" to the right for more details -->):

- Use Simon's and Igal's work to test the GAMS Island algorithm. Steps:

- Grab the farm version (also exists on a GitHub branch: https://github.com/JeffersonLab/halld_recon/tree/FCALIsland)
- Use Igal's environment and build scripts.
- Use factory flag/tag to change clustering algorithms on the command line (or in config file): DEFTAG:DFCALCluster=Island
- Merge/convert with Jon's code.
- Run photon guns through MCWRAPPER, to see single photon, and two-photon hits.
- Check upstream conversions in TOF/DIRC.
- Check average no of reconstructed clusters. Extract 'resolving power' of FCAL-I and FCAL-II eventually.
- Stitch boundary between insert and outer blocks.
- Vaildate with data? Use omega skims for FCAL-II / COMCAL is subtends too small of an angle

### Project 3

Background suppression via MVA (eta -> pi^0 gamma gamma) (Click "Expand" to the right for more details -->):

Study of the process gamma + proton -> eta + proton [1], eta -> pi^0 gamma gamma , and pi^0 -> gamma gamma; and in particular background suppression via multivariate analysis (MVA) using the Fisher discriminant [2] method in the TMVA [3] package.

[1]G.Liping et al, Precision tests of fundamental physics with η\etaη and η′\eta^\primeη′ mesons, [arXiv:2007.00664]

[2]R. A. Fisher, The use of multiple measurements in taxonomic problems, Annals Eugen.7(1936) 179.

[3]H. Voss, A. Hocker, J. Stelzer and F. Tegenfeldt,TMVA - Toolkit for Multivariate DataAnalysis, PoS ACAT (2007) 040 [arXiv:physics/0703039]

### Project 4

Background suppression via MVA (eta -> pi^0 e^+ e^-) (Click "Expand" to the right for more details -->):

Study of the process gamma + proton -> eta + proton [1], eta -> pi^0 e^+ e^- , and pi^0 -> gamma gamma; and in particular background suppression via multivariate analysis (MVA) using the Fisher discriminant [2] method in the TMVA [3] package.

[1]G.Liping et al, Precision tests of fundamental physics with η\etaη and η′\eta^\primeη′ mesons, [arXiv:2007.00664]

[2]R. A. Fisher, The use of multiple measurements in taxonomic problems, Annals Eugen.7(1936) 179.

[3]H. Voss, A. Hocker, J. Stelzer and F. Tegenfeldt,TMVA - Toolkit for Multivariate DataAnalysis, PoS ACAT (2007) 040 [arXiv:physics/0703039]

### Project 5

Classification methods optimizable for unknown cross-sections and particle masses. (Click "Expand" to the right for more details -->):

Search for dark particles needs powerful classification methods, with the capacity to be optimized for unknown cross-sections and particle masses, and also be able to account for systematic effects ie a fully differentiable analysis framework.