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D. Beveridge

5 papers hereh-index 368 citations7 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 5 papers where every author was matched, so the position is known.

fields
  • gr-qc4
  • astro-ph.HE1
same name
  • D. Beveridge — 36 papers, h 26
  • D. Beveridge — 6 papers, h 3
  • D. Beveridge — 1 paper, h 0

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

collaborators
Showing gr-qcShow all

4 papers · 1 filter

gr-qc2026

Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run

Damon Beveridge, Alistair McLeod, Linqing Wen +2

The detection of gravitational waves from compact binary coalescences has provided significant insights into our Universe, and the discovery of new and unique gravitational wave ca…

gr-qc2025

All-sky search for continuous gravitational-wave signals from unknown neutron stars in binary systems in the first part of the fourth LIGO-Virgo-KAGRA observing run

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1765

We present the results of a blind all-sky search for continuous gravitational-wave signals from neutron stars in binary systems using data from the first part of the fourth observi…

gr-qc2025

Binary Neutron Star Merger Search Pipeline Powered by Deep Learning

Alistair McLeod, Damon Beveridge, Linqing Wen +1

Gravitational waves are now routinely detected from compact binary mergers, with binary neutron star mergers being of note for multi-messenger astronomy as they have been observed…

gr-qc2025

Novel Deep Learning Approach to Detecting Binary Black Hole Mergers

Damon Beveridge, Alistair McLeod, Linqing Wen +1

Gravitational wave detection has opened up new avenues for exploring and understanding some of the fundamental principles of the universe. The optimal method for detecting modelled…

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