220 research outputs found
Frequency-Dependent Responses in 3rd Generation Gravitational-Wave Detectors
Interferometric gravitational wave detectors are dynamic instruments.
Changing gravitational-wave strains influence the trajectories of null
geodesics and therefore modify the interferometric response. These effects will
be important when the associated frequencies are comparable to the round-trip
light travel time down the detector arms. The arms of advanced detectors
currently in operation are short enough that the strain can be approximated as
static, but planned 3 generation detectors, with arms an order of
magnitude longer, will need to account for these effects. We investigate the
impact of neglecting the frequency-dependent detector response for compact
binary coalescences and show that it can introduce large systematic biases in
localization, larger than the statistical uncertainty for 1.4-1.4
neutron star coalescences at . Analysis of
generation detectors therefore must account for these effects.Comment: 6 pages, 5 figure
Impact of the tidal p-g instability on the gravitational wave signal from coalescing binary neutron stars
Recent studies suggest that coalescing neutron stars are subject to a fluid
instability involving the nonlinear coupling of the tide to -modes and
-modes. Its influence on the inspiral dynamics and thus the gravitational
wave signal is, however, uncertain because we do not know precisely how the
instability saturates. Here we construct a simple, physically motivated model
of the saturation that allows us to explore the instability's impact as a
function of the model parameters. We find that for plausible assumptions about
the saturation, current gravitational wave detectors might miss of
events if only point particle waveforms are used. Parameters such as the chirp
mass, component masses, and luminosity distance might also be significantly
biased. On the other hand, we find that relatively simple modifications to the
point particle waveform can alleviate these problems and enhance the science
that emerges from the detection of binary neutron stars.Comment: 15 pages, 12 figures, 1 tabl
Tidal Dissipation in WASP-12
WASP-12 is a hot Jupiter system with an orbital period of , making it one of the shortest-period giant planets known. Recent transit
timing observations by Maciejewski et al. (2016) and Patra et al. (2017) find a
decreasing period with . This has been
interpreted as evidence of either orbital decay due to tidal dissipation or a
long term oscillation of the apparent period due to apsidal precession. Here we
consider the possibility that it is orbital decay. We show that the parameters
of the host star are consistent with either a main
sequence star or a subgiant. We find that if the
star is on the main sequence, the tidal dissipation is too inefficient to
explain the observed . However, if it is a subgiant, the tidal
dissipation is significantly enhanced due to nonlinear wave breaking of the
dynamical tide near the star's center. The subgiant models have a tidal quality
factor and an orbital decay rate that agrees well
with the observed . It would also explain why the planet survived for
while the star was on the main sequence and yet is now
inspiraling on a 3 Myr timescale. Although this suggests that we are witnessing
the last of the planet's life, the probability of such a detection
is a few percent given the observed sample of hot Jupiters in
hosts.Comment: 6 pages, 3 figures, accepted to ApJ Letter
An information-theoretic approach to the gravitational-wave burst detection problem
The observational era of gravitational-wave astronomy began in the Fall of
2015 with the detection of GW150914. One potential type of detectable
gravitational wave is short-duration gravitational-wave bursts, whose waveforms
can be difficult to predict. We present the framework for a new detection
algorithm for such burst events -- \textit{oLIB} -- that can be used in
low-latency to identify gravitational-wave transients independently of other
search algorithms. This algorithm consists of 1) an excess-power event
generator based on the Q-transform -- \textit{Omicron} --, 2) coincidence of
these events across a detector network, and 3) an analysis of the coincident
events using a Markov chain Monte Carlo Bayesian evidence calculator --
\textit{LALInferenceBurst}. These steps compress the full data streams into a
set of Bayes factors for each event; through this process, we use elements from
information theory to minimize the amount of information regarding the
signal-versus-noise hypothesis that is lost. We optimally extract this
information using a likelihood-ratio test to estimate a detection significance
for each event. Using representative archival LIGO data, we show that the
algorithm can detect gravitational-wave burst events of astrophysical strength
in realistic instrumental noise across different burst waveform morphologies.
We also demonstrate that the combination of Bayes factors by means of a
likelihood-ratio test can improve the detection efficiency of a
gravitational-wave burst search. Finally, we show that oLIB's performance is
robust against the choice of gravitational-wave populations used to model the
likelihood-ratio test likelihoods
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