744 citations · 7.6k across the 130 of their papers we have counts for
115 papers · 1 filter
The Future of High Energy Physics Software and Computing
V. Daniel Elvira, Steven Gottlieb, Oliver Gutsche +25
Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that…
Software and Computing for Small HEP Experiments
Dave Casper, Maria Elena Monzani, Benjamin Nachman +22
This white paper briefly summarized key conclusions of the recent US Community Study on the Future of Particle Physics (Snowmass 2021) workshop on Software and Computing for Small…
The use of Convolutional Neural Networks for signal-background classification in Particle Physics experiments
Venkitesh Ayyar, Wahid Bhimji, Lisa Gerhardt +2
The success of Convolutional Neural Networks (CNNs) in image classification has prompted efforts to study their use for classifying image data obtained in Particle Physics experime…
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC
Wahid Bhimji, Steven Andrew Farrell, Thorsten Kurth +3
There has been considerable recent activity applying deep convolutional neural nets (CNNs) to data from particle physics experiments. Current approaches on ATLAS/CMS have largely f…
Measurement of the relative width difference of the - system with the ATLAS detector
ATLAS Collaboration
This paper presents the measurement of the relative width difference of the - system using the data collected by the ATLAS experiment at the LHC in $p p…
Identification of high transverse momentum top quarks in collisions at = 8 TeV with the ATLAS detector
ATLAS Collaboration
This paper presents studies of the performance of several jet-substructure techniques, which are used to identify hadronically decaying top quarks with high transverse momentum con…