Seminars and Journal Clubs

CMS data analysis from run 2 towards HL-LHC

by Pieter David (CP3)

Europe/Brussels
E/3rd floor-E.349 - Seminar room (E.349) (Marc de Hemptinne (chemin du Cyclotron, 2, Louvain-la-Neuve))

E/3rd floor-E.349 - Seminar room (E.349)

Marc de Hemptinne (chemin du Cyclotron, 2, Louvain-la-Neuve)

30
Description

As the LHC continues to collect more data, detectors need upgrades, the trigger and reconstruction strategies need to adapt, and also experimental analyses become increasingly complex. This brings a strong need for tools that allow to perform these analyses efficiently — both in computing time and physicist time. I will give an overview of these challenges and the solutions  that were developed in recent years, with a focus on efforts by the CMS collaboration and the CP3 group in particular, which has been an early adopter of the NanoAOD format and ROOT's columnar RDataFrame interface, through the bamboo framework that was developed in the group. Due to the simple data formats and compact analysis code, these tools are also very suitable for the analysis of open data (e.g. for outreach or education) and for phenomenological and physics performance studies; some examples will also be shown.