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researcher

L. Corpe

20 papers hereh-index 6617.8k citations649 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author15
  • last author1

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • hep-ph14
  • physics.ins-det3
  • hep-ex2
  • math-ph1
same name
  • L. Corpe — 25 papers
  • L. Corpe — 5 papers, h 29
  • L. Corpe — 3 papers
  • L. Corpe — 3 papers
  • L. Corpe — 2 papers
  • L. Corpe — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122025
most citedRobust Independent Validation of Experiment and Theory: Rivet version 3

335 citations · 839 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

hep-ex2025

Commissioning of proANUBIS: A proof-of-concept detector for the ANUBIS experiment

Giulio Aielli, Oleg Brandt, Patrick Collins +12

Long-lived particles (LLPs), predicted by various extensions of the Standard Model (SM), have become a key focus of the contemporary search programme for physics beyond the SM. To…

hep-ph2025★ 1 cited

Enabling stable preservation of ML algorithms in high-energy physics with petrifyML

Andy Buckley, Louie Corpe, Martin Habedank +1

Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data…

hep-ph2025★ 6 cited

t-channel dark matter at the LHC -- a whitepaper

Chiara Arina, Benjamin Fuks, Luca Panizzi +67

This report, summarising work achieved in the context of the LHC Dark Matter Working Group, investigates the phenomenology of t-channel dark matter models, spanning minimal setup…

hep-ph2025

Reinterpretation and preservation of data and analyses in HEP

Jon Butterworth, Sabine Kraml, Harrison Prosper +145

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.