12 citations · 18 across the 3 of their papers we have counts for
5 papers
Simulation-Based Inference and Unbinned Asimov Construction with Hybrid Neural Density Estimation
Rafael Coelho Lopes de Sa, Jay Sandesara
High-dimensional, unbinned neural simulation-based inference often relies on neural ratio estimation, which uses expressive supervised models to estimate density ratios, but a lear…
Finite Asimov Sample Construction in Unbinned Neural Simulation-Based Inference
Rafael Coelho Lopes de Sa, Jay Sandesara
Expected sensitivity calculations in frequentist analysis using neural simulation-based inference often require large simulated samples to approximate an unbinned Asimov dataset. W…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Operational Experience and R&D results using the Google Cloud for High Energy Physics in the ATLAS experiment
Fernando Barreiro Megino, Kaushik De, Johannes Elmsheuser +8
The ATLAS experiment at CERN relies on a worldwide distributed computing Grid infrastructure to support its physics program at the Large Hadron Collider. ATLAS has integrated cloud…
Polarized ZZ pairs in gluon fusion and vector boson fusion at the LHC
Martina Javurkova, Richard Ruiz, Rafael Coelho Lopes de Sá +1
Pair production of helicity-polarized weak bosons from gluon fusion and weak boson fusion are powerful probes of…