activity
20092024
most citedExpected Performance of the ATLAS Experiment - Detector, Trigger and Physics

586 citations · 5.9k across the 77 of their papers we have counts for

collaborators

80 papers

stat.ML2024

Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions

Soheun Yi, John Alison, Mikael Kuusela

In the search for new particles in high-energy physics, it is crucial to select the Signal Region (SR) in such a way that it is enriched with signal events if they are present. Whi…

physics.ins-det2024★ 3 cited

Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

M. Aamir, G. Adamov, T. Adams +568

A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…

hep-ph2024

Focus topics for the ECFA study on Higgs / Top / EW factories

Jorge de Blas, Patrick Koppenburg, Jenny List +105

In order to stimulate new engagement and trigger some concrete studies in areas where further work would be beneficial towards fully understanding the physics potential of an $e^+e…

physics.ins-det2023★ 4 cited

Timing Performance of the CMS High Granularity Calorimeter Prototype

CMS HGCAL collaboration

This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…

physics.ins-det2022

Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20300 GeV/c

B. Acar, G. Adamov, C. Adloff +454

The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimete…

stat.AP2022

Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport

Tudor Manole, Patrick Bryant, John Alison +2

We study the problem of data-driven background estimation, arising in the search of physics signals predicted by the Standard Model at the Large Hadron Collider. Our work is motiva…