activity
20182023
most citedSearching for long-lived particles beyond the Standard Model at the Large Hadron Collider

264 citations · 309 across the 10 of their papers we have counts for

collaborators

13 papers

hep-ex2023★ 1 cited

Generalizing mkFit and its Application to HL-LHC

Giuseppe Cerati, Peter Elmer, Patrick Gartung +12

mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transi…

hep-ex2023

Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3

Sophie Berkman, Giuseppe Cerati, Peter Elmer +17

One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fit…

hep-ex2022

Second Analysis Ecosystem Workshop Report

Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66

The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…

hep-ex2022

Muon Collider Forum Report

K. M. Black, S. Jindariani, D. Li +182

A multi-TeV muon collider offers a spectacular opportunity in the direct exploration of the energy frontier. Offering a combination of unprecedented energy collisions in a comparat…

hep-ex2021

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs

Giuseppe Cerati, Peter Elmer, Brian Gravelle +14

We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules for reconstruction of charged particle tracks. Throughput is…

cs.DC2020★ 22 cited

Coffea -- Columnar Object Framework For Effective Analysis

Nicholas Smith, Lindsey Gray, Matteo Cremonesi +8

The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility…