97 research outputs found
Eccentric Black Hole Mergers in Dense Star Clusters: The Role of Binary-Binary Encounters
We present the first systematic study of strong binary-single and
binary-binary black hole interactions with the inclusion of general relativity.
When including general relativistic effects in strong encounters, dissipation
of orbital energy from gravitational waves (GWs) can lead to captures and
subsequent inspirals with appreciable eccentricities when entering the
sensitive frequency ranges of the LIGO and Virgo GW detectors. In this study,
we perform binary-binary and binary-single scattering experiments with general
relativistic dynamics up through the 2.5 post-Newtonian order included, both in
a controlled setting to gauge the importance of non-dissipative post-Newtonian
terms and derive scaling relations for the cross-section of GW captures, as
well as experiments tuned to the strong interactions from state-of-the art
globular cluster models to assess the relative importance of the binary-binary
channel at facilitating GW captures and the resultant eccentricity
distributions of inspiral from channel. Although binary-binary interactions are
10-100 times less frequent in globular clusters than binary-single
interactions, their longer lifetime and more complex dynamics leads to a higher
probability for GW captures to occur during the encounter. We find that
binary-binary interactions contribute 25-45% of the eccentric mergers which
occur during strong black hole encounters in globular clusters, regardless of
the properties of the cluster environment. The inclusion of higher multiplicity
encounters in dense star clusters therefore have major implications on the
predicted rates of highly eccentric binaries potentially detectable by the
LIGO/Virgo network. As gravitational waveforms of eccentric inspirals are
distinct from those generated by merging binaries which have circularized,
measurements of eccentricity in such systems would highly constrain their
formation scenario.Comment: 18 pages, 6 figures. Published in The Astrophysical Journa
On combining information from multiple gravitational wave sources
In the coming years, advanced gravitational wave detectors will observe
signals from a large number of compact binary coalescences. The majority of
these signals will be relatively weak, making the precision measurement of
subtle effects, such as deviations from general relativity, challenging in the
individual events. However, many weak observations can be combined into precise
inferences, if information from the individual signals is combined in an
appropriate way. In this study we revisit common methods for combining multiple
gravitational wave observations to test general relativity, namely (i)
multiplying the individual likelihoods of beyond-general-relativity parameters
and (ii) multiplying the Bayes Factor in favor of general relativity from each
event. We discuss both methods and show that they make stringent assumptions
about the modified theory of gravity they test. In particular, the former
assumes that all events share the same beyond-general-relativity parameter,
while the latter assumes that the theory of gravity has a new unrelated
parameter for each detection. We show that each method can fail to detect
deviations from general relativity when the modified theory being tested
violates these assumptions. We argue that these two methods are the extreme
limits of a more generic framework of hierarchical inference on hyperparameters
that characterize the underlying distribution of single-event parameters. We
illustrate our conclusions first using a simple model of Gaussian likelihoods,
and also by applying parameter estimation techniques to a simulated dataset of
gravitational waveforms in a model where the graviton is massive. We argue that
combining information from multiple sources requires explicit assumptions that
make the results inherently model-dependent.Comment: 9 pages, 3 figure
Efficient method for measuring the parameters encoded in a gravitational-wave signal
Once upon a time, predictions for the accuracy of inference on
gravitational-wave signals relied on computationally inexpensive but often
inaccurate techniques. Recently, the approach has shifted to actual inference
on noisy signals with complex stochastic Bayesian methods, at the expense of
significant computational cost. Here, we argue that it is often possible to
have the best of both worlds: a Bayesian approach that incorporates prior
information and correctly marginalizes over uninteresting parameters, providing
accurate posterior probability distribution functions, but carried out on a
simple grid at a low computational cost, comparable to the inexpensive
predictive techniques.Comment: 17 pages, 5 figure
Distinguishing types of compact-object binaries using the gravitational-wave signatures of their mergers
We analyze the distinguishability of populations of coalescing binary neutron
stars, neutron-star black-hole binaries, and binary black holes, whose
gravitational-wave signatures are expected to be observed by the advanced
network of ground-based interferometers LIGO and Virgo. We consider
population-synthesis predictions for plausible merging binary distributions in
mass space, along with measurement accuracy estimates from the main
gravitational-wave parameter-estimation pipeline. We find that for our model
compact-object binary mass distribution, we can always distinguish binary
neutron stars and black-hole--neutron-star binaries, but not necessarily
black-hole--neutron-star binaries and binary black holes; however, with a few
tens of detections, we can accurately identify the three subpopulations and
measure their respective rates.Comment: Revised unabridged version (contains material omitted from published
version
Reanalysis of LIGO black-hole coalescences with alternative prior assumptions
We present a critical reanalysis of the black-hole binary coalescences
detected during LIGO's first observing run under different Bayesian prior
assumptions. We summarize the main findings of Vitale et al. (2017) and show
additional marginalized posterior distributions for some of the binaries'
intrinsic parameters.Comment: Proceedings of IAU Symposium 338: Gravitational Wave Astrophysics
(Baton Rouge, LA, October 2017
Impact of Bayesian prior on the characterization of binary black hole coalescences
In a regime where data are only mildly informative, prior choices can play a
significant role in Bayesian statistical inference, potentially affecting the
inferred physics. We show this is indeed the case for some of the parameters
inferred from current gravitational-wave measurements of binary black hole
coalescences. We reanalyze the first detections performed by the twin LIGO
interferometers using alternative (and astrophysically motivated) prior
assumptions. We find different prior distributions can introduce deviations in
the resulting posteriors that impact the physical interpretation of these
systems. For instance, (i) limits on the credible interval on the
effective black hole spin are subject to variations of if a prior with black hole spins mostly aligned to the binary's angular
momentum is considered instead of the standard choice of isotropic spin
directions, and (ii) under priors motivated by the initial stellar mass
function, we infer tighter constraints on the black hole masses, and in
particular, we find no support for any of the inferred masses within the
putative mass gap .Comment: 6 Pages, 2 Figures; see also 1712.06635 Data release at
https://github.com/vitale82/GWprior
- …