56 research outputs found
Cosmic sirens: discovery of gravitational waves and their impact on astrophysics and fundamental physics
On 14 September 2015, the twin detectors belonging to
the Laser Interferometer Gravitational Wave Observatory
(LIGO) made a triple discovery: the first direct
detection of gravitational waves (GWs), first observation
of formation of a black hole and first observation
of a binary black hole. Since then LIGO has reported
two other events and a marginal candidate. These discoveries have heralded a new era in observational astronomy. They will help us in exploring extremes of
astrophysics and gravity. GWs are our best chance of
getting an idea of what went on a small fraction of a
second after the big bang, even if that takes many
more decades. With LIGO’s discoveries we hope to
solve many puzzles in astronomy and fundamental
physics, but GWs are guaranteed to show up objects
and phenomena never imagined before
Systematic errors due to quasi-universal relations in binary neutron stars and their correction for unbiased model selection
Inference of the equation-of-state (EoS) of dense nuclear matter in
neutron-star cores is a principal science goal of X-ray and gravitational-wave
observations of neutron stars. In particular, gravitational-wave observations
provide an independent probe of the properties of bulk matter in neutron star
cores that can then be used to compare with theoretically derived equations of
state. In this paper, we quantify the systematic errors arising from the
application of EoS-independent \emph{quasi-universal relations} in the
estimation of neutron star tidal deformabilities and radii from
gravitational-wave measurements and introduce a strategy to correct for the
systematic biases in the inferred radii. We apply this method to a simulated
population of events expected to be observed by future upgrades of current
detectors and the next-generation of ground-based observatories. We show that
our approach can accurately correct for the systematic biases arising from
approximate universal relations in the mass-radius curves of neutron stars.
Using the posterior distributions of the mass and radius for the simulated
population we infer the underlying EoS with a good degree of precision. Our
method revives the possibility of using the universal relations for rapid
Bayesian model selection of dense matter EoS in gravitational-wave
observations
Cosmography with bright and Love sirens
Precision cosmology is crucial to understand the different energy components
in the Universe and their evolution through cosmic time. Gravitational wave
sources are standard sirens that can accurately map out distances in the
Universe. Together with the source redshift information, we can then probe the
expansion history of the Universe. We explore the capabilities of various
gravitational-wave detector networks to constrain different cosmological models
while employing separate waveform models for inspiral and post-merger part of
the gravitational wave signal from equal mass binary neutron stars. We consider
two different avenues to measure the redshift of a gravitational-wave source:
first, we examine an electromagnetic measurement of the redshift via either a
kilonova or a gamma ray burst detection following a binary neutron star merger
(the electromagnetic counterpart method); second, we estimate the redshift from
the gravitational-wave signal itself from the adiabatic tides between the
component stars characterized by the tidal Love number, to provide a second
mass-scale and break the mass-redshift degeneracy (the counterpart-less
method). We find that the electromagnetic counterpart method is better suited
to measure the Hubble constant while the counterpart-less method places more
stringent bounds on other cosmological parameters. In the era of
next-generation gravitational-wave detector networks, both methods achieve
sub-percent measurement of the Hubble constant after one year of
observations. The dark matter energy density parameter in the
CDM model can be measured at percent-level precision using the
counterpart method, whereas the counterpart-less method achieves sub-percent
precision. We, however, do not find the postmerger signal to contribute
significantly to these precision measurements
Bayesian inference of overlapping gravitational wave signals
The observation of gravitational waves from LIGO and Virgo detectors inferred
the mergers rates to be Gpc yr for binary
black holes and Gpc yr for binary neutron
stars. These rates suggest that there is a significant chance that two or more
of these signals will overlap with each other during their lifetime in the
sensitivity-band of future gravitational-wave detectors such as the Cosmic
Explorer and Einstein Telescope. The detection pipelines provide the
coalescence time of each signal with an accuracy . We
show that using the information of the coalescence time, it is possible to
correctly infer the properties of these "overlapping signals" with the current
data-analysis infrastructure. Studying different configurations of the signals,
we conclude that the inference is robust provided that the two signals are not
coalescing within less than . Signals whose coalescence
epochs lie within of each other suffer from significant
biases in parameter inference, and new strategies and algorithms are required
to overcome such biases.Comment: 11 pages, 5 figures, 1 tabl
Distinguishing double neutron star from neutron star-black hole binary populations with gravitational wave observations
Gravitational waves from the merger of two neutron stars cannot be easily
distinguished from those produced by a comparable-mass mixed binary in which
one of the companions is a black hole. Low-mass black holes are interesting
because they could form in the aftermath of the coalescence of two neutron
stars, from the collapse of massive stars, from matter overdensities in the
primordial Universe, or as the outcome of the interaction between neutron stars
and dark matter. Gravitational waves carry the imprint of the internal
composition of neutron stars via the so-called tidal deformability parameter,
which depends on the stellar equation of state and is equal to zero for black
holes. We present a new data analysis strategy powered by Bayesian inference
and machine learning to identify mixed binaries, hence low-mass black holes,
using the distribution of the tidal deformability parameter inferred from
gravitational-wave observations.Comment: 13 pages, 6 figures - v2: matches the published version in Phys. Rev.
D 102, 02302
Second Einstein Telescope mock data and science challenge: Low frequency binary neutron star data analysis
The Einstein Telescope is a conceived third generation gravitational-wave
detector that is envisioned to be an order of magnitude more sensitive than
advanced LIGO, Virgo and Kagra, which would be able to detect
gravitational-wave signals from the coalescence of compact objects with
waveforms starting as low as 1Hz. With this level of sensitivity, we expect to
detect sources at cosmological distances. In this paper we introduce an
improved method for the generation of mock data and analyse it with a new low
latency compact binary search pipeline called gstlal. We present the results
from this analysis with a focus on low frequency analysis of binary neutron
stars. Despite compact binary coalescence signals lasting hours in the Einstein
Telescope sensitivity band when starting at 5 Hz, we show that we are able to
discern various overlapping signals from one another. We also determine the
detection efficiency for each of the analysis runs conducted and and show a
proof of concept method for estimating the number signals as a function of
redshift. Finally, we show that our ability to recover the signal parameters
has improved by an order of magnitude when compared to the results of the first
mock data and science challenge. For binary neutron stars we are able to
recover the total mass and chirp mass to within 0.5% and 0.05%, respectively
A Mock Data Challenge for the Einstein Gravitational-Wave Telescope
Einstein Telescope (ET) is conceived to be a third generation
gravitational-wave observatory. Its amplitude sensitivity would be a factor ten
better than advanced LIGO and Virgo and it could also extend the low-frequency
sensitivity down to 1--3 Hz, compared to the 10--20 Hz of advanced detectors.
Such an observatory will have the potential to observe a variety of different
GW sources, including compact binary systems at cosmological distances. ET's
expected reach for binary neutron star (BNS) coalescences is out to redshift
and the rate of detectable BNS coalescences could be as high as one
every few tens or hundreds of seconds, each lasting up to several days. %in the
sensitive frequency band of ET. With such a signal-rich environment, a key
question in data analysis is whether overlapping signals can be discriminated.
In this paper we simulate the GW signals from a cosmological population of BNS
and ask the following questions: Does this population create a confusion
background that limits ET's ability to detect foreground sources? How efficient
are current algorithms in discriminating overlapping BNS signals? Is it
possible to discern the presence of a population of signals in the data by
cross-correlating data from different detectors in the ET observatory? We find
that algorithms currently used to analyze LIGO and Virgo data are already
powerful enough to detect the sources expected in ET, but new algorithms are
required to fully exploit ET data.Comment: accepted for publication in Physical Review D -- 18 pages, 8 figure
Weak lensing effects in the measurement of the dark energy equation of state with LISA
The Laser Interferometer Space Antenna’s (LISA’s) observation of supermassive binary black holes (SMBBH) could provide a new tool for precision cosmography. Inclusion of subdominant signal harmonics in the inspiral signal allows for high-accuracy sky localization, dramatically improving the chances of finding the host galaxy and obtaining its redshift. A SMBBH merger can potentially have component masses from a wide range (105–108M⊙) over which parameter accuracies vary considerably. We perform an in-depth study in order to understand (i) what fraction of possible SMBBH mergers allow for sky localization, depending on the parameters of the source, and (ii) how accurately w can be measured when the host galaxy can be identified. We also investigate how accuracies on all parameters improve when a knowledge of the sky position can be folded into the estimation of errors. We find that w can be measured to within a few percent in most cases, if the only error in measuring the luminosity distance is due to LISA’s instrumental noise and the confusion background from Galactic binaries. However, weak lensing-induced errors will severely degrade the accuracy with which w can be obtained, emphasizing that methods to mitigate weak lensing effects would be required to take advantage of LISA’s full potential
Prospects for direct detection of black hole formation in neutron star mergers with next-generation gravitational-wave detectors
A direct detection of black hole formation in neutron star mergers would provide invaluable information about matter in neutron star cores and finite temperature effects on the nuclear equation of state. We study black hole formation in neutron star mergers using a set of
190
numerical relativity simulations consisting of long-lived and black-hole-forming remnants. The postmerger gravitational-wave spectrum of a long-lived remnant has greatly reduced power at a frequency
f
greater than
f
peak
, for
f
≳
4
 
 
kHz
, with
f
peak
∈
[
2.5
,
4
]
 
 
kHz
. On the other hand, black-hole-forming remnants exhibit excess power in the same large
f
region and manifest exponential damping in the time domain characteristic of a quasinormal mode. We demonstrate that the gravitational-wave signal from a collapsed remnant is indeed a quasinormal ringing. We report on the opportunity for direct detections of black hole formation with next-generation gravitational-wave detectors such as Cosmic Explorer and Einstein Telescope and set forth the tantalizing prospect of such observations up to a distance of 100 Mpc for an optimally oriented and located source with an SNR of 4
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