J. Love

Physics and Astronomy · Indiana University

Particle physics theoretical and experimental studies High-Energy Particle Collisions Research Particle Detector Development and Performance Quantum Chromodynamics and Particle Interactions Dark Matter and Cosmic Phenomena

Publications

350

Citations

7,668

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2008

Research summary

AI-generated

J. Love works in experimental particle physics, focusing on the instrumentation and data systems that support large collider experiments such as ATLAS at CERN's Large Hadron Collider (LHC). Their work centers on detector readout electronics, fast track-finding hardware, and high-throughput data acquisition and storage systems, with some interest in using machine learning for detector modeling. Overall, the research bridges physics experiments and the computing/hardware infrastructure that makes them possible.

Particle detector instrumentationData acquisition and readout systemsFast tracking hardware for triggersHigh-throughput/petascale data storageMachine learning for detector modeling

Publication activity has been low and intermittent over the last decade, averaging under one paper per year with several years showing no recorded output.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 0.4/year recently

Recent publications

The ATLAS Readout System for LHC Runs 2 and 3
Journal of Instrumentation · 2023
The ATLAS Readout System for LHC Runs 2 and 3
arXiv (Cornell University) · 2023
Let’s get our hands dirty: a comprehensive evaluation of DAQDB, key-value store for petascale hot storage
EPJ Web of Conferences · 2020
The design of a distributed key-value store for petascale hot storage in data acquisition systems
EPJ Web of Conferences · 2019
Fast detector modeling using machine learning algorithms
Bulletin of the American Physical Society · 2019
The ATLAS Fast Tracker Processing Units - input and output data preparation
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016) · 2017
Design of a hardware track finder (Fast Tracker) for the ATLAS trigger
Journal of Instrumentation · 2016
The evolution of the region of interest builder for the ATLAS experiment at CERN
Journal of Instrumentation · 2016
Physics at a 100 TeV pp collider: beyond the Standard Model phenomena
arXiv (Cornell University) · 2016
The ATLAS Fast tracker-input and output data preparation
2016

Publishes in

Journal of Instrumentation×3
EPJ Web of Conferences×2
arXiv (Cornell University)×2
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016)×1
Bulletin of the American Physical Society×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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