From the 1 of 11 linked papers with an AI index.
11 papers
Pulsar Timing Array Sensitivity to Anisotropy: Empirical Sensitivity Curves, Scaling Relations, and the Multi-Resolution Pixel Basis
Taha T. Moursy, Nihan S. Pol, Gabriella Agazie +115
We quantify pulsar timing array (PTA) sensitivity to anisotropy in the gravitational wave background using the cross-correlation based Fisher information matrix in the pixel and sp…
QuickGWecc: Fast Bayesian pipeline for searching eccentric binaries in pulsar timing array data
Lankeswar Dey, Bence Bécsy, Abhimanyu Susobhanan +1
The paper introduces QuickGWecc, a fast Bayesian pipeline that extends the QuickCW framework to efficiently search for continuous gravitational waves from eccentric supermassive bl…
The NANOGrav 15 yr Data Set: Impacts of Customized Chromatic Noise Models on Gravitational Wave Analyses
Nikita Agarwal, Gabriella Agazie, Alessandra Amosso +120
We report updated nHz gravitational wave (GW) significance, characterization, and interpretations using the customized chromatic-noise models (CNMs) developed in Larsen, Baier et a…
Searching for a waveform-agnostic gravitational wave signal in pulsar timing arrays
Heling Deng, Bence Becsy, Yuri Levin +2
Pulsar timing arrays have recently provided compelling evidence for a nanohertz stochastic gravitational wave background, motivating searches for gravitational waves from localized…
Inference on inner galaxy structure via gravitational waves from supermassive binaries
Yifan Chen, Matthias Daniel, Daniel J. D'Orazio +107
The detection of a stochastic gravitational wave background by pulsar-timing arrays indicates the presence of a population of supermassive black hole binaries. Although the observe…
Swift-BAT GUANO follow-up of gravitational-wave triggers in the third LIGO-Virgo-KAGRA observing run
Gayathri Raman, Samuele Ronchini, James Delaunay +1819
We present results from a search for X-ray/gamma-ray counterparts of gravitational-wave (GW) candidates from the third observing run (O3) of the LIGO-Virgo-KAGRA (LVK) network usin…