489 citations · 3.7k across the 37 of their papers we have counts for
16 papers · 1 filter
Evidence for electroweak production of two jets in association with a pair in collisions at TeV with the ATLAS detector
ATLAS Collaboration
Evidence for electroweak production of two jets in association with a pair in TeV protonproton collisions at the Large Hadron Collider is presented. The ana…
Combined measurements of Higgs boson production and decay using up to fb of proton-proton collision data at 13 TeV collected with the ATLAS experiment
ATLAS Collaboration
Combined measurements of Higgs boson production cross sections and branching fractions are presented. The combination is based on the analyses of the Higgs boson decay modes $H \to…
Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in TeV collisions using the ATLAS detector
ATLAS Collaboration
A search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented. The analysis is based on 139 fb of pro…
Search for heavy neutral Higgs bosons produced in association with -quarks and decaying into -quarks at TeV with the ATLAS detector
ATLAS Collaboration
A search for heavy neutral Higgs bosons produced in association with one or two -quarks and decaying to -quark pairs is presented using 27.8 fb of TeV pr…
Search for a right-handed gauge boson decaying into a high-momentum heavy neutrino and a charged lepton in collisions with the ATLAS detector at TeV
ATLAS Collaboration
A search for a right-handed gauge boson , decaying into a boosted right-handed heavy neutrino , in the framework of Left-Right Symmetric Models is p…
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
Michela Paganini
This thesis demonstrate the efficacy of designing and developing machine learning (ML) algorithms to selected use cases that encompass many of the outstanding challenges in the fie…
Search for scalar resonances decaying into in events with and without -tagged jets produced in proton-proton collisions at TeV with the ATLAS detector
ATLAS Collaboration
A search for a narrow scalar resonance decaying into an opposite-sign muon pair produced in events with and without -tagged jets is presented in this paper. The search uses 36.1…
Measurement of the and cross sections in proton-proton collisions at TeV with the ATLAS detector
ATLAS Collaboration
A measurement of the associated production of a top-quark pair () with a vector boson (, ) in proton-proton collisions at a center-of-mass energy of 13 TeV is prese…
Comparison between simulated and observed LHC beam backgrounds in the ATLAS experiment at = 4 TeV
ATLAS Collaboration
Results of dedicated Monte Carlo simulations of beam-induced background (BIB) in the ATLAS experiment at the Large Hadron Collider (LHC) are presented and compared with data record…
Electromagnetic Showers Beyond Shower Shapes
Luke de Oliveira, Benjamin Nachman, Michela Paganini
Correctly identifying the nature and properties of outgoing particles from high energy collisions at the Large Hadron Collider is a crucial task for all aspects of data analysis. C…
Search for chargino-neutralino production using recursive jigsaw reconstruction in final states with two or three charged leptons in proton-proton collisions at =13 TeV with the ATLAS detector
ATLAS Collaboration
A search for electroweak production of supersymmetric particles is performed in two-lepton and three-lepton final states using recursive jigsaw reconstruction. The search uses data…
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
Michela Paganini, Luke de Oliveira, Benjamin Nachman
The precise modeling of subatomic particle interactions and propagation through matter is paramount for the advancement of nuclear and particle physics searches and precision measu…
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…
Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters
Luke de Oliveira, Michela Paganini, Benjamin Nachman
High-precision modeling of subatomic particle interactions is critical for many fields within the physical sciences, such as nuclear physics and high energy particle physics. Most…
Machine Learning Algorithms for -Jet Tagging at the ATLAS Experiment
Michela Paganini
The separation of -quark initiated jets from those coming from lighter quark flavors (-tagging) is a fundamental tool for the ATLAS physics program at the CERN Large Hadron C…
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters
Michela Paganini, Luke de Oliveira, Benjamin Nachman
Physicists at the Large Hadron Collider (LHC) rely on detailed simulations of particle collisions to build expectations of what experimental data may look like under different theo…