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B. Farr

141 papers hereh-index 7939.9k citations242 works total

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

author position
  • first author7
  • middle author30
  • last author6

Across the 43 of 141 papers where every author was matched, so the position is known.

fields
  • gr-qc66
  • astro-ph.HE62
  • astro-ph.CO6
  • astro-ph.IM5
  • astro-ph.EP1
  • physics.ed-ph1
same name
  • B. Farr — 73 papers, h 39
  • B. Farr — 24 papers
  • B. Farr — 2 papers, h 2
  • B. Farr — 1 paper
  • B. Farr — 1 paper, h 0
  • B. Farr — 1 paper

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
20092026
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations · 39k across the 140 of their papers we have counts for

collaborators
Showing 2009Show all

3 papers · 1 filter

gr-qc2009★ 55 cited

Status of NINJA: the Numerical INJection Analysis project

Benjamin Aylott, John G. Baker, William D. Boggs +74

The 2008 NRDA conference introduced the Numerical INJection Analysis project (NINJA), a new collaborative effort between the numerical relativity community and the data analysis co…

gr-qc2009★ 11 cited

Searching for binary coalescences with inspiral templates: Detection and parameter estimation

Benjamin Farr, Stephen Fairhurst, B. S. Sathyaprakash

There has been remarkable progress in numerical relativity recently. This has led to the generation of gravitational waveform signals covering what has been traditionally termed th…

gr-qc2009★ 140 cited

Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project

Benjamin Aylott, John G. Baker, William D. Boggs +74

The Numerical INJection Analysis (NINJA) project is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities. The purpose…

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