Speaker
Description
SWAN usage at COMPASS
My PhD subject in COMPASS is the extraction of the cross section of the Deeply Virtual Compton Scattering process ($\mu p \to \mu p \gamma$), in order to get insights on the structure of the proton. The collaboration already has working softwares for reconstruction of the data, and also for the further analysis.
I chose to extract from the existing software all the relevant variables to my analysis, and store everything in TTrees. Then for flexibility purposes, I chose an interactive way to code my further analysis. This is done under SWAN and using the recent and powerful RDataFrame framework, the python kernel and PyROOT.
However the volume of data is still important even after prefiltering and takes a lot of time to be processed interactively. That is why I use the PyRDF module developped by Javier Cervantes Villanueva, in order to interface my RDataFrames with spark clusters blindly from the user point of view.
This solution is working and efficient but some issues are still present such as slow or impossible connection to SWAN with certain user configuration. Also some new interesting possibilities might be developped for RDataFrames to ease some studies.
