Abstract
Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.
| Original language | English |
|---|---|
| Article number | 043023 |
| Number of pages | 6 |
| Journal | Physical Review D |
| Volume | 100 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 22 Aug 2019 |
Cite this
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Accelerated detection of the binary neutron star gravitational-wave background. / Hernandez Vivanco, Francisco; Smith, Rory; Thrane, Eric; Lasky, Paul D.
In: Physical Review D, Vol. 100, No. 4, 043023, 22.08.2019.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Accelerated detection of the binary neutron star gravitational-wave background
AU - Hernandez Vivanco, Francisco
AU - Smith, Rory
AU - Thrane, Eric
AU - Lasky, Paul D.
PY - 2019/8/22
Y1 - 2019/8/22
N2 - Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.
AB - Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.
UR - http://www.scopus.com/inward/record.url?scp=85072182178&partnerID=8YFLogxK
U2 - 10.1103/PhysRevD.100.043023
DO - 10.1103/PhysRevD.100.043023
M3 - Article
AN - SCOPUS:85072182178
VL - 100
JO - Physical Review D
JF - Physical Review D
SN - 2470-0010
IS - 4
M1 - 043023
ER -