173 citations · 2k across the 76 of their papers we have counts for
65 papers · 1 filter
The DAMSA Experiment
Prithak Bhattarai, Andrew Brandt, Alan Bross +41
DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for…
DAMSA Experiment Conceptual Design White Paper
Prithak Bhattarai, Andrew Brandt, Alan Bross +41
DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator experiment aimed at probing short-lived physics processes, including searches for evidence o…
Pixel data real time processing as a next step for HL-LHC upgrades and beyond
Junho Kim, Jongho Lee, Chang-Seong Moon +2
The experiments at LHC are implementing novel and challenging detector upgrades for the High Luminosity LHC, among which the tracking systems. This paper reports on performance stu…
Large-Scale Deep Learning for Multi-Jet Event Classification
Jiwoong Kim, Dongsung Bae, Kihyeon Cho +12
We report the largest scale deep learning with High Performance Computing (HPC) to physics analysis with the CMS simulation data in proton-proton collisions at 13 TeV. We build a C…
Search for Higgs-like particles produced in association with bottom quarks in proton-antiproton collisions
CDF Collaboration, T. Aaltonen, S. Amerio +396
We report on a search for a spin-zero non-standard-model particle in proton-antiproton collisions collected by the Collider Detector at Fermilab at a center-of-mass-energy of 1.96…
Search for standard-model Z and Higgs bosons decaying into a bottom-antibottom quark pair in proton-antiproton collisions at 1.96 TeV
CDF Collaboration, T. Aaltonen, S. Amerio +396
The Collider Detector at Fermilab collected a unique sample of jets originating from bottom-quark fragmentation (-jets) by selecting online proton-antiproton () collis…