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27 April 2024 |
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Article overview
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Parameter estimation on gravitational waves from neutron-star binaries with spinning components | Ben Farr
; Christopher P. L. Berry
; Will M. Farr
; Carl-Johan Haster
; Hannah Middleton
; Kipp Cannon
; Philip B. Graff
; Chad Hanna
; Ilya Mandel
; Chris Pankow
; Larry R. Price
; Trevor Sidery
; Leo P. Singer
; Alex L. Urban
; Alberto Vecchio
; John Veitch
; Salvatore Vitale
; | Date: |
21 Aug 2015 | Abstract: | Inspiraling binary neutron stars are expected to be one of the most
significant sources of gravitational-wave signals for the new generation of
advanced ground-based detectors. Advanced LIGO will begin operation in 2015 and
we investigate how well we could hope to measure properties of these binaries
should a detection be made in the first observing period. We study an
astrophysically motivated population of sources (binary components with masses
$1.2~mathrm{M}_odot$-$1.6~mathrm{M}_odot$ and spins of less than $0.05$)
using the full LIGO analysis pipeline. While this simulated population covers
the observed range of potential binary neutron-star sources, we do not exclude
the possibility of sources with parameters outside these ranges; given the
existing uncertainty in distributions of mass and spin, it is critical that
analyses account for the full range of possible mass and spin configurations.
We find that conservative prior assumptions on neutron-star mass and spin lead
to average fractional uncertainties in component masses of $sim 16\%$, with
little constraint on spins (the median $90\%$ upper limit on the spin of the
more massive component is $sim 0.7$). Stronger prior constraints on
neutron-star spins can further constrain mass estimates, but only marginally.
However, we find that the sky position and luminosity distance for these
sources are not influenced by the inclusion of spin; therefore, less
computationally expensive results calculated neglecting spin could be used with
impunity for electromagnetic follow-up. | Source: | arXiv, 1508.5336 | Services: | Forum | Review | PDF | Favorites |
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