7 citations · 14 across the 4 of their papers we have counts for
5 papers
Training on Data Analysis Reproducibility via Containerization with Apptainer
Roy Cruz Candelaria, Wouter Deconinck, Aman Desai +10
We present the material and resources developed for training physicists on containerization technologies enabled by Apptainer. In the context of analysis preservation using Apptain…
t-channel dark matter at the LHC -- a whitepaper
Chiara Arina, Benjamin Fuks, Luca Panizzi +67
This report, summarising work achieved in the context of the LHC Dark Matter Working Group, investigates the phenomenology of -channel dark matter models, spanning minimal setup…
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
Snowmass 2021 Dark Matter Complementarity Report
Antonio Boveia, Mohamed Berkat, Thomas Y. Chen +24
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all Frontiers. In the last decade, advances in detector technology, analysis…
Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)
Antonio Boveia, Mohamed Berkat, Thomas Y. Chen +24
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis…