1.7k citations
- D. Brown5 profiles46 · h 40
- D. Schaile7 profiles46 · h 87
- R. McCarthy6 profiles45 · h 75
- S. Desai4 profiles45 · h 48
- B. Åsman8 profiles43 · h 98
- C. Bélanger-Champagne2 profiles43
- N. Gollub5 profiles43 · h 32
- S. Strandberg3 profiles43 · h 88
- A. Meyer3 profiles42 · h 142
- A. Quadt7 profiles42 · h 86
- A. Sopczak2 profiles42 · h 83
- C. Biscarat2 profiles42 · h 60
- Fermi National Accelerator LaboratoryUS49 papers
- Columbia UniversityUS48 papers
- University of Maryland, College ParkUS48 papers
- Brown UniversityUS47 papers
- Lomonosov Moscow State UniversityRU47 papers
- University of MichiganUS47 papers
- University of WashingtonUS47 papers
- Louisiana Tech UniversityUS46 papers
- University of RochesterUS46 papers
- Johannes Gutenberg University MainzDE45 papers
- Joint Institute for Nuclear ResearchRU45 papers
- University of Illinois ChicagoUS45 papers
11 papers · 1 filter
Improved time-frequency analysis of extreme-mass-ratio inspiral signals in mock LISA data
Jonathan R Gair, Ilya Mandel, Linqing Wen
The planned Laser Interferometer Space Antenna (LISA) is expected to detect gravitational wave signals from ~100 extreme-mass-ratio inspirals (EMRIs) of stellar-mass compact object…
A Bayesian approach to the follow-up of candidate gravitational wave signals
John Veitch, Alberto Vecchio
Ground-based gravitational wave laser interferometers (LIGO, GEO-600, Virgo and Tama-300) have now reached high sensitivity and duty cycle. We present a Bayesian evidence-based app…
Search of S3 LIGO data for gravitational wave signals from spinning black hole and neutron star binary inspirals
The LIGO Scientific Collaboration, B. Abbott
We report on the methods and results of the first dedicated search for gravitational waves emitted during the inspiral of compact binaries with spinning component bodies. We analyz…
Report on the second Mock LISA Data Challenge
Stanislav Babak, John G. Baker, Matthew J. Benacquista +40
The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data set…
Time-frequency analysis of extreme-mass-ratio inspiral signals in mock LISA data
Jonathan R Gair, Ilya Mandel, Linqing Wen
Extreme-mass-ratio inspirals (EMRIs) of ~ 1-10 solar-mass compact objects into ~ million solar-mass massive black holes can serve as excellent probes of strong-field general relati…
Inference on inspiral signals using LISA MLDC data
Christian Röver, Alexander Stroeer, Ed Bloomer +11
In this paper we describe a Bayesian inference framework for analysis of data obtained by LISA. We set up a model for binary inspiral signals as defined for the Mock LISA Data Chal…