activity
19992026
most citedDirect Evidence for Neutrino Flavor Transformation from Neutral-Current Interactions in the Sudbury Neutrino Observatory

3k citations · 7.7k across the 125 of their papers we have counts for

collaborators

128 papers

physics.ed-ph2026

CURE-like, not cure-all: Varying broad relevance in experimentation labs produces similar student outcomes

Elly Markert, Mike Verostek, Matthew Dew +6

Physics labs that engage students in practices authentic to experimental physics (experimentation-based labs) are being implemented to modernize the undergraduate physics curriculu…

hep-ex2026

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…

hep-ex2025

Design, Construction, and Testing of the APOLLO ATCA Blades for Use at the HL-LHC

Alp Akpinar, Aymeric Blaizot, Serhii Cholak +19

The Apollo Advanced Telecommunications Computing Architecture (ATCA) platform is an open-source design consisting of a generic "Service Module" (SM) and a customizable "Command Mod…

hep-ex2024

Line Segment Tracking: Improving the Phase 2 CMS High Level Trigger Tracking with a Novel, Hardware-Agnostic Pattern Recognition Algorithm

Emmanouil Vourliotis, Philip Chang, Peter Elmer +11

Charged particle reconstruction is one the most computationally heavy components of the full event reconstruction of Large Hadron Collider (LHC) experiments. Looking to the future,…

physics.ins-det2024

Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC

Jonathan Guiang, Slava Krutelyov, Manos Vourliotis +10

In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that w…

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…