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Search for anisotropic gravitational-wave backgrounds using data from Advanced LIGO and Advanced Virgo’s first three observing runs

Authors :
LIGO (Observatory : Massachusetts Institute of Technology)
MIT Kavli Institute for Astrophysics and Space Research
Massachusetts Institute of Technology. Department of Physics
LIGO Scientific Collaboration
Virgo Collaboration
KAGRA Collaboration
Barsotti, Lisa
Biscans, Sebastien
Biscoveanu, Sylvia
Buikema, Aaron
Demos, Nicholas
Donovan, Frederick J
Eisenstein, Robert Alan
Evans, M.
Fernandez Galiana, Alvaro-Miguel
Fritschel, Peter K
Fujii, Y.
Ganapathy, Dhruva
Gras, Slawomir
Hall, E. D.
Haster, Carl-Johan
Huang, Y.-W.
Isi Banales, Maximiliano S
Jia, W.
Katsavounidis, Erotokritos
Knyazev, E.
Komori, Kentaro
Kuns, K.
Lane, B. B.
Lang, Ryan N.
London, L. T.
MacInnis, Myron E
Mansell, Georgia
Marx, E. J.
Mason, Kenneth R
Massinger, Thomas J.
Matichard, Fabrice
Mavalvala, Nergis
McCuller, Lee P
Mittleman, Richard K
Mo, Geoffrey
Ray Pitambar Mohapatra, Satyanarayan
Ng, K. Y.
Nguyen, T.
Shoemaker, David H
Sudhir, Vivishek
Tse, Maggie
Vitale, Salvatore
Weiss, Rainer
Whittle, Christopher Mark
Yu, Haocun
Zucker, Michael E
LIGO (Observatory : Massachusetts Institute of Technology)
MIT Kavli Institute for Astrophysics and Space Research
Massachusetts Institute of Technology. Department of Physics
LIGO Scientific Collaboration
Virgo Collaboration
KAGRA Collaboration
Barsotti, Lisa
Biscans, Sebastien
Biscoveanu, Sylvia
Buikema, Aaron
Demos, Nicholas
Donovan, Frederick J
Eisenstein, Robert Alan
Evans, M.
Fernandez Galiana, Alvaro-Miguel
Fritschel, Peter K
Fujii, Y.
Ganapathy, Dhruva
Gras, Slawomir
Hall, E. D.
Haster, Carl-Johan
Huang, Y.-W.
Isi Banales, Maximiliano S
Jia, W.
Katsavounidis, Erotokritos
Knyazev, E.
Komori, Kentaro
Kuns, K.
Lane, B. B.
Lang, Ryan N.
London, L. T.
MacInnis, Myron E
Mansell, Georgia
Marx, E. J.
Mason, Kenneth R
Massinger, Thomas J.
Matichard, Fabrice
Mavalvala, Nergis
McCuller, Lee P
Mittleman, Richard K
Mo, Geoffrey
Ray Pitambar Mohapatra, Satyanarayan
Ng, K. Y.
Nguyen, T.
Shoemaker, David H
Sudhir, Vivishek
Tse, Maggie
Vitale, Salvatore
Weiss, Rainer
Whittle, Christopher Mark
Yu, Haocun
Zucker, Michael E
Source :
APS
Publication Year :
2022

Abstract

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called {\tt PyStoch} on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95\% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from $F_{\alpha, \Theta} < {\rm (0.013 - 7.6)} \times 10^{-8} {\rm erg \, cm^{-2} \, s^{-1} \, Hz^{-1}},$ and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from $\Omega_{\alpha, \Theta} < {\rm (0.57 - 9.3)} \times 10^{-9} \, {\rm sr^{-1}}$, depending on direction ($\Theta$) and spectral index ($\alpha$). These limits improve upon previous limits by factors of $2.9 - 3.5$. We also set 95\% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic Center, with best upper limits range from $h_0 < {\rm (1.7-2.1)} \times 10^{-25},$ a factor of $\geq 2.0$ improvement compared to previous stochastic radiometer searches.

Details

Database :
OAIster
Journal :
APS
Notes :
application/octet-stream, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1351761702
Document Type :
Electronic Resource