S. Palmer

ORCID: 0009-0008-6881-746X
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Dark Matter and Cosmic Phenomena
  • Computational Physics and Python Applications
  • Distributed and Parallel Computing Systems
  • Cosmology and Gravitation Theories

New Mexico State University
2023-2024

Sam Houston State University
2023-2024

Karlsruhe Institute of Technology
2013

This Report summarizes the results of first 10 months' activities LHC Higgs Cross Sections Working Group. The main goal working group was to present status-of-art on Physics at integrating all new that have appeared in last few years. is more than a mere collection proceedings general meetings. subgroups been different directions. An attempt has made from these complete and homogeneous form. subgroups' contributions correspondingly comprise parts Report. A significant amount work performed...

10.48550/arxiv.1101.0593 preprint EN other-oa arXiv (Cornell University) 2011-01-01

This Report summarises the results of second year's activities LHC Higgs Cross Section Working Group. The main goal working group was to present state art Physics at LHC, integrating all new that have appeared in last few years. first report Handbook Sections: 1. Inclusive Observables (CERN-2011-002) focuses on predictions (central values and errors) for total production cross sections branching ratios Standard Model its minimal supersymmetric extension, covering also related issues such as...

10.48550/arxiv.1201.3084 preprint EN other-oa arXiv (Cornell University) 2012-01-01

We consider machine learning techniques associated with the application of a boosted decision tree (BDT) to searches at Large Hadron Collider (LHC) for pair-produced lepton partners which decay leptons and invisible particles. This scenario can arise in minimal supersymmetric Standard Model (MSSM), but be realized many other extensions (SM). focus on case intermediate mass splitting (<a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mo>∼</a:mo><a:mn>30</a:mn><a:mtext>...

10.1103/physrevd.109.075018 article EN cc-by Physical review. D/Physical review. D. 2024-04-11

We consider the application of machine learning techniques to searches at Large Hadron Collider (LHC) for pair-produced lepton partners which decay leptons and invisible particles. This scenario can arise in Minimal Supersymmetric Standard Model (MSSM), but be realized many other extensions (SM). focus on case intermediate mass splitting ($\sim 30$ GeV) between dark matter (DM) scalar. For these splittings, LHC has made little improvement over LEP due large electroweak backgrounds. find that...

10.48550/arxiv.2309.10197 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Vbfnlo is a flexible parton level Monte Carlo program for the simulation of vector boson fusion (VBF), double and triple (plus jet) production in hadronic collisions at next-to-leading order (NLO) strong coupling constant, as well Higgs plus two jet via gluon one-loop level. This note briefly describes main additional features processes that have been added new release -- Version 2.6.0. At NLO QCD diboson (Wγ, WZ, ZZ, Zγand γγ), same-sign W pair process Wγγj implemented (for which tensor...

10.48550/arxiv.1207.4975 preprint EN other-oa arXiv (Cornell University) 2012-01-01
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