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Learning to detect continuous gravitational waves: an open data-analysis competition
Authors:
Rodrigo Tenorio,
Michael J. Williams,
Joseph Bayley,
Christopher Messenger,
Maggie Demkin,
Walter Reade,
Jun Koda,
Yoichi Yamakawa,
Taiki Yamaguchi,
Kenshin Abe,
Chris Achard,
Habib S. T. Bukhari,
Maxim V. Shugaev,
Gleb Sokolov,
Hiroshi Yoshihara,
Vincent Debout,
Sebastien Goulet,
Jean-Loup Tastet,
Inar Timiryasov,
Oleg Ruchayskiy,
Dzianis Kanonik,
Selim Seferbekov,
Shohei Saito,
Ryotaro Sato,
Shinsaku Segawa
, et al. (7 additional authors not shown)
Abstract:
We report results of a public data-analysis challenge, hosted on the open data-science platform Kaggle, to detect simulated continuous gravitational-wave signals (CWs). These are weak signals from rapidly spinning neutron stars that remain undetected despite extensive searches. The competition dataset consisted of a population of CW signals using both simulated and real LIGO detector data matching…
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We report results of a public data-analysis challenge, hosted on the open data-science platform Kaggle, to detect simulated continuous gravitational-wave signals (CWs). These are weak signals from rapidly spinning neutron stars that remain undetected despite extensive searches. The competition dataset consisted of a population of CW signals using both simulated and real LIGO detector data matching the conditions of actual CW searches. The competition attracted more than 1,000 participants to develop realistic CW search algorithms. We describe the top 10 approaches and discuss their applicability as a pre-processing step compared to standard CW-search approaches. For the competition's dataset, we find that top approaches can reduce the computing cost by 1 to 3 orders of magnitude at a false-dismissal probability comparable to standard CW searches. Additionally, the competition drove the development of new GPU-accelerated detection pipelines, which facilitated their adoption in other areas of gravitational-wave data analysis. We release the associated dataset, which constitutes the first open standardized benchmark for CW detection, to enable reproducible method comparisons and to encourage further developments toward the first detection of these elusive signals.
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Submitted 17 December, 2025; v1 submitted 8 September, 2025;
originally announced September 2025.
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GWTC-4.0: Population Properties of Merging Compact Binaries
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
A. G. Abac,
I. Abouelfettouh,
F. Acernese,
K. Ackley,
C. Adamcewicz,
S. Adhicary,
D. Adhikari,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
S. Afroz,
D. Agarwal,
M. Agathos,
M. Aghaei Abchouyeh,
O. D. Aguiar,
S. Ahmadzadeh,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi
, et al. (1783 additional authors not shown)
Abstract:
We detail the population properties of merging compact objects using 158 mergers from the cumulative Gravitational-Wave Transient Catalog 4.0, which includes three types of binary mergers: binary neutron star, neutron star--black hole binary, and binary black hole mergers. We resolve multiple over- and under-densities in the black hole mass distribution: features persist at primary masses of…
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We detail the population properties of merging compact objects using 158 mergers from the cumulative Gravitational-Wave Transient Catalog 4.0, which includes three types of binary mergers: binary neutron star, neutron star--black hole binary, and binary black hole mergers. We resolve multiple over- and under-densities in the black hole mass distribution: features persist at primary masses of $10\,M_\odot$ and $35\,M_\odot$ with a possible third feature at $\sim 20\,M_\odot$. These are departures from an otherwise power-law-like continuum that steepens above $35\,M_\odot$. Binary black holes with primary masses near $10\,M_\odot$ are more likely to have less massive secondaries, with a mass ratio distribution peaking at $q = 0.74^{+0.13}_{-0.13}$, potentially a signature of stable mass transfer during binary evolution. Black hole spins are inferred to be non-extremal, with 90\% of black holes having $χ< 0.57$, and preferentially aligned with binary orbits, implying many merging binaries form in isolation. However, we find a significant fraction, 0.24-0.42, of binaries have negative effective inspiral spins, suggesting many could be formed dynamically in gas-free environments. We find evidence for correlation between effective inspiral spin and mass ratio, though it is unclear if this is driven by variation in the mode of the distribution or the width. (Abridged)
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Submitted 17 September, 2025; v1 submitted 25 August, 2025;
originally announced August 2025.
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GWTC-4.0: Methods for Identifying and Characterizing Gravitational-wave Transients
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
A. G. Abac,
I. Abouelfettouh,
F. Acernese,
K. Ackley,
S. Adhicary,
D. Adhikari,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
S. Afroz,
D. Agarwal,
M. Agathos,
M. Aghaei Abchouyeh,
O. D. Aguiar,
S. Ahmadzadeh,
L. Aiello,
A. Ain,
P. Ajith,
S. Akcay,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi
, et al. (1787 additional authors not shown)
Abstract:
The Gravitational-Wave Transient Catalog (GWTC) is a collection of candidate gravitational-wave transient signals identified and characterized by the LIGO-Virgo-KAGRA Collaboration. Producing the contents of the GWTC from detector data requires complex analysis methods. These comprise techniques to model the signal; identify the transients in the data; evaluate the quality of the data and mitigate…
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The Gravitational-Wave Transient Catalog (GWTC) is a collection of candidate gravitational-wave transient signals identified and characterized by the LIGO-Virgo-KAGRA Collaboration. Producing the contents of the GWTC from detector data requires complex analysis methods. These comprise techniques to model the signal; identify the transients in the data; evaluate the quality of the data and mitigate possible instrumental issues; infer the parameters of each transient; compare the data with the waveform models for compact binary coalescences; and handle the large amount of results associated with all these different analyses. In this paper, we describe the methods employed to produce the catalog's fourth release, GWTC-4.0, focusing on the analysis of the first part of the fourth observing run of Advanced LIGO, Advanced Virgo and KAGRA.
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Submitted 25 August, 2025;
originally announced August 2025.
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GWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
A. G. Abac,
I. Abouelfettouh,
F. Acernese,
K. Ackley,
S. Adhicary,
D. Adhikari,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
S. Afroz,
D. Agarwal,
M. Agathos,
M. Aghaei Abchouyeh,
O. D. Aguiar,
S. Ahmadzadeh,
L. Aiello,
A. Ain,
P. Ajith,
S. Akcay,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi
, et al. (1786 additional authors not shown)
Abstract:
The Gravitational-Wave Transient Catalog (GWTC) is a collection of short-duration (transient) gravitational wave signals identified by the LIGO-Virgo-KAGRA Collaboration in gravitational-wave data produced by the eponymous detectors. The catalog provides information about the identified candidates, such as the arrival time and amplitude of the signal and properties of the signal's source as inferr…
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The Gravitational-Wave Transient Catalog (GWTC) is a collection of short-duration (transient) gravitational wave signals identified by the LIGO-Virgo-KAGRA Collaboration in gravitational-wave data produced by the eponymous detectors. The catalog provides information about the identified candidates, such as the arrival time and amplitude of the signal and properties of the signal's source as inferred from the observational data. GWTC is the data release of this dataset and version 4.0 extends the catalog to include observations made during the first part of the fourth LIGO-Virgo-KAGRA observing run up until 2024 January 31. This paper marks an introduction to a collection of articles related to this version of the catalog, GWTC-4.0. The collection of articles accompanying the catalog provides documentation of the methods used to analyze the data, summaries of the catalog of events, observational measurements drawn from the population, and detailed discussions of selected candidates
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Submitted 23 September, 2025; v1 submitted 25 August, 2025;
originally announced August 2025.
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Identifying and Mitigating Machine Learning Biases for the Gravitational Wave Detection Problem
Authors:
Narenraju Nagarajan,
Christopher Messenger
Abstract:
Matched filtering is a long-standing technique for the optimal detection of known signals in stationary Gaussian noise. However, it has known departures from optimality when operating on unknown signals in real noise and suffers from computational inefficiencies in its pursuit of near-optimality. A compelling alternative that has emerged in recent years to address this problem is deep learning. Al…
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Matched filtering is a long-standing technique for the optimal detection of known signals in stationary Gaussian noise. However, it has known departures from optimality when operating on unknown signals in real noise and suffers from computational inefficiencies in its pursuit of near-optimality. A compelling alternative that has emerged in recent years to address this problem is deep learning. Although it has shown significant promise when applied to the search for gravitational waves (GWs) in detector noise, we demonstrate the existence of learning biases that hinder generalisation and lead to significant loss in detection sensitivity. Our work identifies the sources of a set of 11 interconnected biases present in the supervised learning of the GW detection problem and contributes mitigation tactics and training strategies to concurrently address them. In light of the identified biases, we demonstrate that existing detection sensitivity metrics are not reliable for machine-learning (ML) pipelines and discuss the trustworthiness of previous results. We use GW domain knowledge to build a bespoke ML based binary black hole search pipeline called Sage that addresses these biases. Via the injection study presented in the Machine Learning Gravitational-Wave Search Challenge, we show that Sage detects ~11.2% more signals than the benchmark PyCBC analysis at a false alarm rate of one per month in O3a noise. Moreover, we also show that it can detect ~48.29% more signals than the previous best-performing ML pipeline on the same dataset. We empirically prove that Sage can: [i] effectively handle out-of-distribution noise power spectral densities, [ii] strongly reject non-Gaussian transient noise artefacts, and [iii] achieve higher detection sensitivities using less data than network architectures of a similar size. All code and implementations are available at https://github.com/nnarenraju/sage.
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Submitted 4 October, 2025; v1 submitted 23 January, 2025;
originally announced January 2025.
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Applications of machine learning in gravitational wave research with current interferometric detectors
Authors:
Elena Cuoco,
Marco Cavaglià,
Ik Siong Heng,
David Keitel,
Christopher Messenger
Abstract:
This article provides an overview of the current state of machine learning in gravitational-wave research with interferometric detectors. Such applications are often still in their early days, but have reached sufficient popularity to warrant an assessment of their impact across various domains, including detector studies, noise and signal simulations, and the detection and interpretation of astro…
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This article provides an overview of the current state of machine learning in gravitational-wave research with interferometric detectors. Such applications are often still in their early days, but have reached sufficient popularity to warrant an assessment of their impact across various domains, including detector studies, noise and signal simulations, and the detection and interpretation of astrophysical signals.
In detector studies, machine learning could be useful to optimize instruments like LIGO, Virgo, KAGRA, and future detectors. Algorithms could predict and help in mitigating environmental disturbances in real time, ensuring detectors operate at peak performance. Furthermore, machine-learning tools for characterizing and cleaning data after it is taken have already become crucial tools for achieving the best sensitivity of the LIGO--Virgo--KAGRA network.
In data analysis, machine learning has already been applied as an alternative to traditional methods for signal detection, source localization, noise reduction, and parameter estimation. For some signal types, it can already yield improved efficiency and robustness, though in many other areas traditional methods remain dominant.
As the field evolves, the role of machine learning in advancing gravitational-wave research is expected to become increasingly prominent. This report highlights recent advancements, challenges, and perspectives for the current detector generation, with a brief outlook to the next generation of gravitational-wave detectors.
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Submitted 19 December, 2024;
originally announced December 2024.
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Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State
Authors:
Qian Hu,
Jessica Irwin,
Qi Sun,
Christopher Messenger,
Lami Suleiman,
Ik Siong Heng,
John Veitch
Abstract:
Gravitational waves (GWs) from binary neutron stars (BNSs) offer valuable understanding of the nature of compact objects and hadronic matter, and the science potential will be greatly enhanced by the third-generation (3G) GW detectors, which are expected to detect BNS signals with order-of-magnitude improvements in duration, detection rates, and signal strength. However, the resulting computationa…
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Gravitational waves (GWs) from binary neutron stars (BNSs) offer valuable understanding of the nature of compact objects and hadronic matter, and the science potential will be greatly enhanced by the third-generation (3G) GW detectors, which are expected to detect BNS signals with order-of-magnitude improvements in duration, detection rates, and signal strength. However, the resulting computational demands for analyzing such prolonged signals pose a critical challenge that existing Bayesian methods cannot feasibly address in the 3G era. To bridge this critical gap, we demonstrate a machine learning-based workflow capable of producing source parameter estimation and constraints on equations of state (EOSs) for hours-long BNS signals in seconds with minimal hardware costs. We employ efficient compression of the GW data and EOS using neural networks, based on which we build normalizing flows for inference that can deliver results in seconds. The optimized computational cost of BNS signal analysis with our framework shows that machine learning has the potential to be an indispensable tool for future catalog-level BNS analyses, paving the way for large-scale investigations of BNS-related physics across the 3G observational landscape.
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Submitted 16 June, 2025; v1 submitted 4 December, 2024;
originally announced December 2024.
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Reconstructing source motion from gravitational wave strain
Authors:
Joseph Bayley,
Chris Messenger,
Graham Woan
Abstract:
Searches for un-modelled burst gravitational wave signals return potential candidates for short duration signals. As there is no clear model for the source in these searches, one needs to understand and reconstruct the system that produced the gravitational waves. Here we aim to reconstruct the source motion and masses of a system based only on its gravitational wave strain. We train a normalising…
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Searches for un-modelled burst gravitational wave signals return potential candidates for short duration signals. As there is no clear model for the source in these searches, one needs to understand and reconstruct the system that produced the gravitational waves. Here we aim to reconstruct the source motion and masses of a system based only on its gravitational wave strain. We train a normalising flow on two models including circular orbits and random unphysical motion of two point masses. These models are used as a toy problem to illustrate the technique. We then reconstruct a distribution of possible motions of masses that can produce the given gravitational wave signal. We demonstrate the ability to reconstruct the full distribution of possible mass motions from strain data across multiple gravitational wave detectors. This distribution encompasses the degenerate motions that are expected to produce identical gravitational wave strains.
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Submitted 29 July, 2024;
originally announced July 2024.
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Swift-BAT GUANO follow-up of gravitational-wave triggers in the third LIGO-Virgo-KAGRA observing run
Authors:
Gayathri Raman,
Samuele Ronchini,
James Delaunay,
Aaron Tohuvavohu,
Jamie A. Kennea,
Tyler Parsotan,
Elena Ambrosi,
Maria Grazia Bernardini,
Sergio Campana,
Giancarlo Cusumano,
Antonino D'Ai,
Paolo D'Avanzo,
Valerio D'Elia,
Massimiliano De Pasquale,
Simone Dichiara,
Phil Evans,
Dieter Hartmann,
Paul Kuin,
Andrea Melandri,
Paul O'Brien,
Julian P. Osborne,
Kim Page,
David M. Palmer,
Boris Sbarufatti,
Gianpiero Tagliaferri
, et al. (1797 additional authors not shown)
Abstract:
We present results from a search for X-ray/gamma-ray counterparts of gravitational-wave (GW) candidates from the third observing run (O3) of the LIGO-Virgo-KAGRA (LVK) network using the Swift Burst Alert Telescope (Swift-BAT). The search includes 636 GW candidates received in low latency, 86 of which have been confirmed by the offline analysis and included in the third cumulative Gravitational-Wav…
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We present results from a search for X-ray/gamma-ray counterparts of gravitational-wave (GW) candidates from the third observing run (O3) of the LIGO-Virgo-KAGRA (LVK) network using the Swift Burst Alert Telescope (Swift-BAT). The search includes 636 GW candidates received in low latency, 86 of which have been confirmed by the offline analysis and included in the third cumulative Gravitational-Wave Transient Catalogs (GWTC-3). Targeted searches were carried out on the entire GW sample using the maximum--likelihood NITRATES pipeline on the BAT data made available via the GUANO infrastructure. We do not detect any significant electromagnetic emission that is temporally and spatially coincident with any of the GW candidates. We report flux upper limits in the 15-350 keV band as a function of sky position for all the catalog candidates. For GW candidates where the Swift-BAT false alarm rate is less than 10$^{-3}$ Hz, we compute the GW--BAT joint false alarm rate. Finally, the derived Swift-BAT upper limits are used to infer constraints on the putative electromagnetic emission associated with binary black hole mergers.
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Submitted 27 March, 2025; v1 submitted 13 July, 2024;
originally announced July 2024.
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Searching for gravitational waves from stellar-mass binary black holes early inspiral
Authors:
Xue-Ting Zhang,
Natalia Korsakova,
Man Leong Chan,
Chris Messenger,
Yi-Ming Hu
Abstract:
The early inspiral from stellar-mass binary black holes (sBBHs) can emit milli-Hertz gravitational wave signals, making them detectable sources for space-borne gravitational wave missions like TianQin. However, the traditional matched filtering technique poses a significant challenge for analyzing this kind of signal, as it requires an impractically high number of templates ranging from $10^{31}$…
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The early inspiral from stellar-mass binary black holes (sBBHs) can emit milli-Hertz gravitational wave signals, making them detectable sources for space-borne gravitational wave missions like TianQin. However, the traditional matched filtering technique poses a significant challenge for analyzing this kind of signal, as it requires an impractically high number of templates ranging from $10^{31}$ to $10^{40}$. We propose a search strategy that involves two main parts: initially, we reduce the dimensionality of the simulated signals using incremental principal component analysis (IPCA). Subsequently, we train the convolutional neural networks (CNNs) based on the compressed TianQin data obtained from IPCA, aiming to develop both a detection model and a point parameter estimation model. The compression efficiency for the trained IPCA model achieves a cumulative variance ratio of 95.6% when applied to $10^6$ simulated signals. To evaluate the performance of CNN we generate the receiver operating characteristic curve for the detection model which is applied to the test data with varying signal-to-noise ratios. At a false alarm probability of 5%, the corresponding true alarm probability for signals with a signal-to-noise ratio of 50 is 86.5%. Subsequently, we introduce the point estimation model to evaluate the value of the chirp mass of corresponding sBBH signals with an error. For signals with a signal-to-noise ratio of 50, the trained point estimation CNN model can estimate the chirp mass of most test events, with a standard deviation error of 2.49 $M_{\odot}$and a relative error precision of 0.13.
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Submitted 7 January, 2025; v1 submitted 11 June, 2024;
originally announced June 2024.
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Observation of Gravitational Waves from the Coalescence of a $2.5\text{-}4.5~M_\odot$ Compact Object and a Neutron Star
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
A. G. Abac,
R. Abbott,
I. Abouelfettouh,
F. Acernese,
K. Ackley,
S. Adhicary,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
D. Agarwal,
M. Agathos,
M. Aghaei Abchouyeh,
O. D. Aguiar,
I. Aguilar,
L. Aiello,
A. Ain,
P. Ajith,
S. Akçay,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Al-Jodah
, et al. (1771 additional authors not shown)
Abstract:
We report the observation of a coalescing compact binary with component masses $2.5\text{-}4.5~M_\odot$ and $1.2\text{-}2.0~M_\odot$ (all measurements quoted at the 90% credible level). The gravitational-wave signal GW230529_181500 was observed during the fourth observing run of the LIGO-Virgo-KAGRA detector network on 2023 May 29 by the LIGO Livingston Observatory. The primary component of the so…
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We report the observation of a coalescing compact binary with component masses $2.5\text{-}4.5~M_\odot$ and $1.2\text{-}2.0~M_\odot$ (all measurements quoted at the 90% credible level). The gravitational-wave signal GW230529_181500 was observed during the fourth observing run of the LIGO-Virgo-KAGRA detector network on 2023 May 29 by the LIGO Livingston Observatory. The primary component of the source has a mass less than $5~M_\odot$ at 99% credibility. We cannot definitively determine from gravitational-wave data alone whether either component of the source is a neutron star or a black hole. However, given existing estimates of the maximum neutron star mass, we find the most probable interpretation of the source to be the coalescence of a neutron star with a black hole that has a mass between the most massive neutron stars and the least massive black holes observed in the Galaxy. We provisionally estimate a merger rate density of $55^{+127}_{-47}~\text{Gpc}^{-3}\,\text{yr}^{-1}$ for compact binary coalescences with properties similar to the source of GW230529_181500; assuming that the source is a neutron star-black hole merger, GW230529_181500-like sources constitute about 60% of the total merger rate inferred for neutron star-black hole coalescences. The discovery of this system implies an increase in the expected rate of neutron star-black hole mergers with electromagnetic counterparts and provides further evidence for compact objects existing within the purported lower mass gap.
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Submitted 26 July, 2024; v1 submitted 5 April, 2024;
originally announced April 2024.
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Rapid neutron star equation of state inference with Normalising Flows
Authors:
Jordan McGinn,
Arunava Mukherjee,
Jessica Irwin,
Christopher Messenger,
Michael J. Williams,
Ik Siong Heng
Abstract:
The first direct detection of gravitational waves from binary neutron stars on the 17th of August, 2017, (GW170817) heralded the arrival of a new messenger for probing neutron star astrophysics and provided the first constraints on neutron star equation of state from gravitational wave observations. Significant computational effort was expended to obtain these first results and therefore, as obser…
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The first direct detection of gravitational waves from binary neutron stars on the 17th of August, 2017, (GW170817) heralded the arrival of a new messenger for probing neutron star astrophysics and provided the first constraints on neutron star equation of state from gravitational wave observations. Significant computational effort was expended to obtain these first results and therefore, as observations of binary neutron star coalescence become more routine in the coming observing runs, there is a need to improve the analysis speed and flexibility. Here, we present a rapid approach for inferring the neutron star equation of state based on Normalising Flows. As a demonstration, using the same input data, our approach, ASTREOS, produces results consistent with those presented by the LIGO-Virgo collaboration but requires < 1 sec to generate neutron star equation of state confidence intervals. Furthermore, ASTREOS allows for non-parametric equation of state inference. This rapid analysis will not only facilitate neutron star equation of state studies but can potentially enhance future alerts for electromagnetic follow-up observations of binary neutron star mergers.
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Submitted 26 March, 2024;
originally announced March 2024.
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Ultralight vector dark matter search using data from the KAGRA O3GK run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
A. G. Abac,
R. Abbott,
H. Abe,
I. Abouelfettouh,
F. Acernese,
K. Ackley,
C. Adamcewicz,
S. Adhicary,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
O. D. Aguiar,
I. Aguilar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi
, et al. (1778 additional authors not shown)
Abstract:
Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we prese…
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Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for $U(1)_{B-L}$ gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the $U(1)_{B-L}$ gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM.
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Submitted 5 March, 2024;
originally announced March 2024.
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Long Short-Term Memory for Early Warning Detection of Gravitational Waves
Authors:
Reem Alfaidi,
Christopher Messenger
Abstract:
The pre-merger detection of gravitational waves from the early inspiral phase of compact binary coalescence events would allow the observation of the earlier stages of the merger in the electromagnetic band. This would significantly impact multi-messenger astronomy, giving astronomers potential access to rich new information. Here, we introduce a proof-of-concept deep-learning-based approach to pr…
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The pre-merger detection of gravitational waves from the early inspiral phase of compact binary coalescence events would allow the observation of the earlier stages of the merger in the electromagnetic band. This would significantly impact multi-messenger astronomy, giving astronomers potential access to rich new information. Here, we introduce a proof-of-concept deep-learning-based approach to produce pre-merger early-warning alerts for binary black hole systems. We show the possibility of using a Long Short-Term Memory network trained on the whitened detector strain in the time domain to detect and classify compact binary events. In this work, we consider a single advanced Laser Interferometer Gravitational-Wave Observatory detector at design sensitivity and make approximate sensitivity and early warning capability comparisons with approximations to traditional matched filtering approaches. We find that our model is competitive in both aspects, and when applied to a simulated test dataset was able to produce an early alert up to four seconds before the merger.
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Submitted 7 February, 2024;
originally announced February 2024.
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Cosmological Inference using Gravitational Waves and Normalising Flows
Authors:
Federico Stachurski,
Christopher Messenger,
Martin Hendry
Abstract:
We present a machine learning approach using normalising flows for inferring cosmological parameters from gravitational wave events. Our methodology is general to any type of compact binary coalescence event and cosmological model and relies on the generation of training data representing distributions of gravitational wave event parameters. These parameters are conditional on the underlying cosmo…
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We present a machine learning approach using normalising flows for inferring cosmological parameters from gravitational wave events. Our methodology is general to any type of compact binary coalescence event and cosmological model and relies on the generation of training data representing distributions of gravitational wave event parameters. These parameters are conditional on the underlying cosmology and incorporate prior information from galaxy catalogues. We provide an example analysis inferring the Hubble constant using binary black holes detected during the O1, O2, and O3 observational runs conducted by the advanced LIGO/VIRGO gravitational wave detectors. We obtain a Bayesian posterior on the Hubble constant from which we derive an estimate and 1$σ$ confidence bounds of $H_{0} = 74.51^{+14.80}_{-13.63} \: \text{km} \:\text{s}^{-1} \text{Mpc}^{-1}$. We are able to compute this result in $\mathcal{O}(1)$ s using our trained Normalising Flow model.
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Submitted 25 October, 2023; v1 submitted 20 October, 2023;
originally announced October 2023.
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Quantum state preparation of gravitational waves
Authors:
Fergus Hayes,
Sarah Croke,
Chris Messenger,
Fiona Speirits
Abstract:
We detail a quantum circuit capable of efficiently encoding analytical approximations to gravitational wave signal waveforms of compact binary coalescences into the amplitudes of quantum bits using both quantum arithmetic operations and hybrid classical-quantum generative modelling. The gate cost of the proposed method is considered and compared to a state preparation routine for arbitrary amplitu…
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We detail a quantum circuit capable of efficiently encoding analytical approximations to gravitational wave signal waveforms of compact binary coalescences into the amplitudes of quantum bits using both quantum arithmetic operations and hybrid classical-quantum generative modelling. The gate cost of the proposed method is considered and compared to a state preparation routine for arbitrary amplitudes, where we demonstrate up to a four orders of magnitude reduction in gate cost when considering the encoding of gravitational waveforms representative of binary neutron star inspirals detectable to the Einstein telescope. We demonstrate through a quantum simulation, that is limited to 28 qubits, the encoding of a second post-Newtonian inspiral waveform with a fidelity compared to the desired state of 0.995 when using the Grover-Rudolph algorithm, or 0.979 when using a trained quantum generative adversarial network with a significant reduction of required gates.
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Submitted 19 June, 2023;
originally announced June 2023.
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Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
S. Adhicary,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
C. Alléné,
A. Allocca,
P. A. Altin
, et al. (1670 additional authors not shown)
Abstract:
Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated…
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Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects.
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Submitted 17 April, 2023;
originally announced April 2023.
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Importance nested sampling with normalising flows
Authors:
Michael J. Williams,
John Veitch,
Chris Messenger
Abstract:
We present an improved version of the nested sampling algorithm nessai in which the core algorithm is modified to use importance weights. In the modified algorithm, samples are drawn from a mixture of normalising flows and the requirement for samples to be independently and identically distributed (i.i.d.) according to the prior is relaxed. Furthermore, it allows for samples to be added in any ord…
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We present an improved version of the nested sampling algorithm nessai in which the core algorithm is modified to use importance weights. In the modified algorithm, samples are drawn from a mixture of normalising flows and the requirement for samples to be independently and identically distributed (i.i.d.) according to the prior is relaxed. Furthermore, it allows for samples to be added in any order, independently of a likelihood constraint, and for the evidence to be updated with batches of samples. We call the modified algorithm i-nessai. We first validate i-nessai using analytic likelihoods with known Bayesian evidences and show that the evidence estimates are unbiased in up to 32 dimensions. We compare i-nessai to standard nessai for the analytic likelihoods and the Rosenbrock likelihood, the results show that i-nessai is consistent with nessai whilst producing more precise evidence estimates. We then test i-nessai on 64 simulated gravitational-wave signals from binary black hole coalescence and show that it produces unbiased estimates of the parameters. We compare our results to those obtained using standard nessai and dynesty and find that i-nessai requires 2.68 and 13.3 times fewer likelihood evaluations to converge, respectively. We also test i-nessai of an 80-second simulated binary neutron star signal using a Reduced-Order-Quadrature (ROQ) basis and find that, on average, it converges in 24 minutes, whilst only requiring $1.01\times10^6$ likelihood evaluations compared to $1.42\times10^6$ for nessai and $4.30\times10^7$ for dynesty. These results demonstrate the i-nessai is consistent with nessai and dynesty whilst also being more efficient.
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Submitted 30 August, 2023; v1 submitted 16 February, 2023;
originally announced February 2023.
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Open data from the third observing run of LIGO, Virgo, KAGRA and GEO
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
S. Adhicary,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Al-Jodah,
C. Alléné,
A. Allocca
, et al. (1719 additional authors not shown)
Abstract:
The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in April of 2019 and lasting six months, O3b starting in November of 2019 and lasting five months, and O3GK starting in April of 2020 and lasti…
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The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in April of 2019 and lasting six months, O3b starting in November of 2019 and lasting five months, and O3GK starting in April of 2020 and lasting 2 weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main dataset, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages.
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Submitted 7 February, 2023;
originally announced February 2023.
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MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Authors:
Marlin B. Schäfer,
Ondřej Zelenka,
Alexander H. Nitz,
He Wang,
Shichao Wu,
Zong-Kuan Guo,
Zhoujian Cao,
Zhixiang Ren,
Paraskevi Nousi,
Nikolaos Stergioulas,
Panagiotis Iosif,
Alexandra E. Koloniari,
Anastasios Tefas,
Nikolaos Passalis,
Francesco Salemi,
Gabriele Vedovato,
Sergey Klimenko,
Tanmaya Mishra,
Bernd Brügmann,
Elena Cuoco,
E. A. Huerta,
Chris Messenger,
Frank Ohme
Abstract:
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers of increasing complexity and duration embedded in progressively more realistic noise. The final of the 4 provided datasets contained real noise from the O3a observing run and…
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We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers of increasing complexity and duration embedded in progressively more realistic noise. The final of the 4 provided datasets contained real noise from the O3a observing run and signals up to a duration of 20 seconds with the inclusion of precession effects and higher order modes. We present the average sensitivity distance and runtime for the 6 entered algorithms derived from 1 month of test data unknown to the participants prior to submission. Of these, 4 are machine learning algorithms. We find that the best machine learning based algorithms are able to achieve up to 95% of the sensitive distance of matched-filtering based production analyses for simulated Gaussian noise at a false-alarm rate (FAR) of one per month. In contrast, for real noise, the leading machine learning search achieved 70%. For higher FARs the differences in sensitive distance shrink to the point where select machine learning submissions outperform traditional search algorithms at FARs $\geq 200$ per month on some datasets. Our results show that current machine learning search algorithms may already be sensitive enough in limited parameter regions to be useful for some production settings. To improve the state-of-the-art, machine learning algorithms need to reduce the false-alarm rates at which they are capable of detecting signals and extend their validity to regions of parameter space where modeled searches are computationally expensive to run. Based on our findings we compile a list of research areas that we believe are the most important to elevate machine learning searches to an invaluable tool in gravitational-wave signal detection.
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Submitted 22 September, 2022;
originally announced September 2022.
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Model-based cross-correlation search for gravitational waves from the low-mass X-ray binary Scorpius X-1 in LIGO O3 data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
S. Adhicary,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
C. Alléné,
A. Allocca,
P. A. Altin
, et al. (1670 additional authors not shown)
Abstract:
We present the results of a model-based search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1 using LIGO detector data from the third observing run of Advanced LIGO, Advanced Virgo and KAGRA. This is a semicoherent search which uses details of the signal model to coherently combine data separated by less than a specified coherence time, which can be adjusted to bala…
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We present the results of a model-based search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1 using LIGO detector data from the third observing run of Advanced LIGO, Advanced Virgo and KAGRA. This is a semicoherent search which uses details of the signal model to coherently combine data separated by less than a specified coherence time, which can be adjusted to balance sensitivity with computing cost. The search covered a range of gravitational-wave frequencies from 25Hz to 1600Hz, as well as ranges in orbital speed, frequency and phase determined from observational constraints. No significant detection candidates were found, and upper limits were set as a function of frequency. The most stringent limits, between 100Hz and 200Hz, correspond to an amplitude h0 of about 1e-25 when marginalized isotropically over the unknown inclination angle of the neutron star's rotation axis, or less than 4e-26 assuming the optimal orientation. The sensitivity of this search is now probing amplitudes predicted by models of torque balance equilibrium. For the usual conservative model assuming accretion at the surface of the neutron star, our isotropically-marginalized upper limits are close to the predicted amplitude from about 70Hz to 100Hz; the limits assuming the neutron star spin is aligned with the most likely orbital angular momentum are below the conservative torque balance predictions from 40Hz to 200Hz. Assuming a broader range of accretion models, our direct limits on gravitational-wave amplitude delve into the relevant parameter space over a wide range of frequencies, to 500Hz or more.
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Submitted 2 January, 2023; v1 submitted 6 September, 2022;
originally announced September 2022.
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Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO--Virgo data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1645 additional authors not shown)
Abstract:
We present a directed search for continuous gravitational wave (CW) signals emitted by spinning neutron stars located in the inner parsecs of the Galactic Center (GC). Compelling evidence for the presence of a numerous population of neutron stars has been reported in the literature, turning this region into a very interesting place to look for CWs. In this search, data from the full O3 LIGO--Virgo…
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We present a directed search for continuous gravitational wave (CW) signals emitted by spinning neutron stars located in the inner parsecs of the Galactic Center (GC). Compelling evidence for the presence of a numerous population of neutron stars has been reported in the literature, turning this region into a very interesting place to look for CWs. In this search, data from the full O3 LIGO--Virgo run in the detector frequency band $[10,2000]\rm~Hz$ have been used. No significant detection was found and 95$\%$ confidence level upper limits on the signal strain amplitude were computed, over the full search band, with the deepest limit of about $7.6\times 10^{-26}$ at $\simeq 142\rm~Hz$. These results are significantly more constraining than those reported in previous searches. We use these limits to put constraints on the fiducial neutron star ellipticity and r-mode amplitude. These limits can be also translated into constraints in the black hole mass -- boson mass plane for a hypothetical population of boson clouds around spinning black holes located in the GC.
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Submitted 9 April, 2022;
originally announced April 2022.
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First joint observation by the underground gravitational-wave detector, KAGRA, with GEO600
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1647 additional authors not shown)
Abstract:
We report the results of the first joint observation of the KAGRA detector with GEO600. KAGRA is a cryogenic and underground gravitational-wave detector consisting of a laser interferometer with three-kilometer arms, and located in Kamioka, Gifu, Japan. GEO600 is a British--German laser interferometer with 600 m arms, and located near Hannover, Germany. GEO600 and KAGRA performed a joint observing…
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We report the results of the first joint observation of the KAGRA detector with GEO600. KAGRA is a cryogenic and underground gravitational-wave detector consisting of a laser interferometer with three-kilometer arms, and located in Kamioka, Gifu, Japan. GEO600 is a British--German laser interferometer with 600 m arms, and located near Hannover, Germany. GEO600 and KAGRA performed a joint observing run from April 7 to 20, 2020. We present the results of the joint analysis of the GEO--KAGRA data for transient gravitational-wave signals, including the coalescence of neutron-star binaries and generic unmodeled transients. We also perform dedicated searches for binary coalescence signals and generic transients associated with gamma-ray burst events observed during the joint run. No gravitational-wave events were identified. We evaluate the minimum detectable amplitude for various types of transient signals and the spacetime volume for which the network is sensitive to binary neutron-star coalescences. We also place lower limits on the distances to the gamma-ray bursts analysed based on the non-detection of an associated gravitational-wave signal for several signal models, including binary coalescences. These analyses demonstrate the feasibility and utility of KAGRA as a member of the global gravitational-wave detector network.
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Submitted 19 August, 2022; v1 submitted 2 March, 2022;
originally announced March 2022.
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Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks
Authors:
Xue-Ting Zhang,
Chris Messenger,
Natalia Korsakova,
Man Leong Chan,
Yi-Ming Hu,
Jing-dong Zhang
Abstract:
Extreme mass ratio inspirals (EMRIs) are among the most interesting gravitational wave (GW) sources for space-borne GW detectors. However, successful GW data analysis remains challenging due to many issues, ranging from the difficulty of modeling accurate waveforms, to the impractically large template bank required by the traditional matched filtering search method. In this work, we introduce a pr…
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Extreme mass ratio inspirals (EMRIs) are among the most interesting gravitational wave (GW) sources for space-borne GW detectors. However, successful GW data analysis remains challenging due to many issues, ranging from the difficulty of modeling accurate waveforms, to the impractically large template bank required by the traditional matched filtering search method. In this work, we introduce a proof-of-principle approach for EMRI detection based on convolutional neural networks (CNNs). We demonstrate the performance with simulated EMRI signals buried in Gaussian noise. We show that over a wide range of physical parameters, the network is effective for EMRI systems with a signal-to-noise ratio larger than 50, and the performance is most strongly related to the signal-to-noise ratio. The method also shows good generalization ability towards different waveform models. Our study reveals the potential applicability of machine learning technology like CNNs towards more realistic EMRI data analysis.
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Submitted 14 February, 2022;
originally announced February 2022.
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Search for gravitational waves from Scorpius X-1 with a hidden Markov model in O3 LIGO data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1647 additional authors not shown)
Abstract:
Results are presented for a semi-coherent search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1, using a hidden Markov model (HMM) to allow for spin wandering. This search improves on previous HMM-based searches of Laser Interferometer Gravitational-wave Observatory (LIGO) data by including the orbital period in the search template grid, and by analyzing data from t…
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Results are presented for a semi-coherent search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1, using a hidden Markov model (HMM) to allow for spin wandering. This search improves on previous HMM-based searches of Laser Interferometer Gravitational-wave Observatory (LIGO) data by including the orbital period in the search template grid, and by analyzing data from the latest (third) observing run (O3). In the frequency range searched, from 60 to 500 Hz, we find no evidence of gravitational radiation. This is the most sensitive search for Scorpius X-1 using a HMM to date. For the most sensitive sub-band, starting at $256.06$Hz, we report an upper limit on gravitational wave strain (at $95 \%$ confidence) of $h_{0}^{95\%}=6.16\times10^{-26}$, assuming the orbital inclination angle takes its electromagnetically restricted value $ι=44^{\circ}$. The upper limits on gravitational wave strain reported here are on average a factor of $\sim 3$ lower than in the O2 HMM search. This is the first Scorpius X-1 HMM search with upper limits that reach below the indirect torque-balance limit for certain sub-bands, assuming $ι=44^{\circ}$.
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Submitted 25 January, 2022;
originally announced January 2022.
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All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO and Advanced Virgo O3 data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1645 additional authors not shown)
Abstract:
We present results of an all-sky search for continuous gravitational waves which can be produced by spinning neutron stars with an asymmetry around their rotation axis, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. Four different analysis methods are used to search in a gravitational-wave frequency band from 10 to 2048 Hz and a first frequency derivativ…
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We present results of an all-sky search for continuous gravitational waves which can be produced by spinning neutron stars with an asymmetry around their rotation axis, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. Four different analysis methods are used to search in a gravitational-wave frequency band from 10 to 2048 Hz and a first frequency derivative from $-10^{-8}$ to $10^{-9}$ Hz/s. No statistically-significant periodic gravitational-wave signal is observed by any of the four searches. As a result, upper limits on the gravitational-wave strain amplitude $h_0$ are calculated. The best upper limits are obtained in the frequency range of 100 to 200 Hz and they are ${\sim}1.1\times10^{-25}$ at 95\% confidence-level. The minimum upper limit of $1.10\times10^{-25}$ is achieved at a frequency 111.5 Hz. We also place constraints on the rates and abundances of nearby planetary- and asteroid-mass primordial black holes that could give rise to continuous gravitational-wave signals.
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Submitted 3 January, 2022;
originally announced January 2022.
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Narrowband searches for continuous and long-duration transient gravitational waves from known pulsars in the LIGO-Virgo third observing run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1636 additional authors not shown)
Abstract:
Isolated neutron stars that are asymmetric with respect to their spin axis are possible sources of detectable continuous gravitational waves. This paper presents a fully-coherent search for such signals from eighteen pulsars in data from LIGO and Virgo's third observing run (O3). For known pulsars, efficient and sensitive matched-filter searches can be carried out if one assumes the gravitational…
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Isolated neutron stars that are asymmetric with respect to their spin axis are possible sources of detectable continuous gravitational waves. This paper presents a fully-coherent search for such signals from eighteen pulsars in data from LIGO and Virgo's third observing run (O3). For known pulsars, efficient and sensitive matched-filter searches can be carried out if one assumes the gravitational radiation is phase-locked to the electromagnetic emission. In the search presented here, we relax this assumption and allow the frequency and frequency time-derivative of the gravitational waves to vary in a small range around those inferred from electromagnetic observations. We find no evidence for continuous gravitational waves, and set upper limits on the strain amplitude for each target. These limits are more constraining for seven of the targets than the spin-down limit defined by ascribing all rotational energy loss to gravitational radiation. In an additional search we look in O3 data for long-duration (hours-months) transient gravitational waves in the aftermath of pulsar glitches for six targets with a total of nine glitches. We report two marginal outliers from this search, but find no clear evidence for such emission either. The resulting duration-dependent strain upper limits do not surpass indirect energy constraints for any of these targets.
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Submitted 27 June, 2022; v1 submitted 21 December, 2021;
originally announced December 2021.
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Tests of General Relativity with GWTC-3
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
P. F. de Alarcón,
S. Albanesi,
R. A. Alfaidi,
A. Allocca
, et al. (1660 additional authors not shown)
Abstract:
The ever-increasing number of detections of gravitational waves (GWs) from compact binaries by the Advanced LIGO and Advanced Virgo detectors allows us to perform ever-more sensitive tests of general relativity (GR) in the dynamical and strong-field regime of gravity. We perform a suite of tests of GR using the compact binary signals observed during the second half of the third observing run of th…
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The ever-increasing number of detections of gravitational waves (GWs) from compact binaries by the Advanced LIGO and Advanced Virgo detectors allows us to perform ever-more sensitive tests of general relativity (GR) in the dynamical and strong-field regime of gravity. We perform a suite of tests of GR using the compact binary signals observed during the second half of the third observing run of those detectors. We restrict our analysis to the 15 confident signals that have false alarm rates $\leq 10^{-3}\, {\rm yr}^{-1}$. In addition to signals consistent with binary black hole (BH) mergers, the new events include GW200115_042309, a signal consistent with a neutron star--BH merger. We find the residual power, after subtracting the best fit waveform from the data for each event, to be consistent with the detector noise. Additionally, we find all the post-Newtonian deformation coefficients to be consistent with the predictions from GR, with an improvement by a factor of ~2 in the -1PN parameter. We also find that the spin-induced quadrupole moments of the binary BH constituents are consistent with those of Kerr BHs in GR. We find no evidence for dispersion of GWs, non-GR modes of polarization, or post-merger echoes in the events that were analyzed. We update the bound on the mass of the graviton, at 90% credibility, to $m_g \leq 2.42 \times 10^{-23} \mathrm{eV}/c^2$. The final mass and final spin as inferred from the pre-merger and post-merger parts of the waveform are consistent with each other. The studies of the properties of the remnant BHs, including deviations of the quasi-normal mode frequencies and damping times, show consistency with the predictions of GR. In addition to considering signals individually, we also combine results from the catalog of GW signals to calculate more precise population constraints. We find no evidence in support of physics beyond GR.
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Submitted 17 November, 2025; v1 submitted 13 December, 2021;
originally announced December 2021.
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Utilizing Gaussian mixture models in all-sky searches for short-duration gravitational wave bursts
Authors:
Dixeena Lopez,
V. Gayathri,
Archana Pai,
Ik Siong Heng,
Chris Messenger,
Sagar Kumar Gupta
Abstract:
Coherent WaveBurst is a generic, multidetector gravitational wave burst search based on the excess power approach. The coherent WaveBurst algorithm currently employed in the all-sky short-duration gravitational wave burst search uses a conditional approach on selected attributes in the multidimensional event attribute space to distinguish between noisy events from that of astrophysical origin. We…
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Coherent WaveBurst is a generic, multidetector gravitational wave burst search based on the excess power approach. The coherent WaveBurst algorithm currently employed in the all-sky short-duration gravitational wave burst search uses a conditional approach on selected attributes in the multidimensional event attribute space to distinguish between noisy events from that of astrophysical origin. We have been developing a supervised machine learning approach based on the Gaussian mixture modeling to model the attribute space for signals as well as noise events to enhance the probability of burst detection [Gayathri et al.Phys. Rev. D 102, 104023 (2020)]. We further extend the GMM approach to the all-sky short-duration coherent WaveBurst search as a postprocessing step on events from the first half of the third observing run (O3a). We show an improvement in sensitivity to generic gravitational wave burst signal morphologies as well as the astrophysical source such as core-collapse supernova models due to the application of our Gaussian mixture model approach to coherent WaveBurst triggers. The Gaussian mixture model method recovers the gravitational wave signals from massive compact binary coalescences identified by coherent WaveBurst targeted for binary black holes in GWTC-2, with better significance than the all-sky coherent WaveBurst search. No additional significant gravitational wave bursts are observed.
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Submitted 8 April, 2022; v1 submitted 13 December, 2021;
originally announced December 2021.
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Search of the Early O3 LIGO Data for Continuous Gravitational Waves from the Cassiopeia A and Vela Jr. Supernova Remnants
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato,
C. Anand,
S. Anand
, et al. (1389 additional authors not shown)
Abstract:
We present directed searches for continuous gravitational waves from the neutron stars in the Cassiopeia A (Cas A) and Vela Jr. supernova remnants. We carry out the searches in the LIGO data from the first six months of the third Advanced LIGO and Virgo observing run, using the Weave semi-coherent method, which sums matched-filter detection-statistic values over many time segments spanning the obs…
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We present directed searches for continuous gravitational waves from the neutron stars in the Cassiopeia A (Cas A) and Vela Jr. supernova remnants. We carry out the searches in the LIGO data from the first six months of the third Advanced LIGO and Virgo observing run, using the Weave semi-coherent method, which sums matched-filter detection-statistic values over many time segments spanning the observation period. No gravitational wave signal is detected in the search band of 20--976 Hz for assumed source ages greater than 300 years for Cas A and greater than 700 years for Vela Jr. Estimates from simulated continuous wave signals indicate we achieve the most sensitive results to date across the explored parameter space volume, probing to strain magnitudes as low as ~$6.3\times10^{-26}$ for Cas A and ~$5.6\times10^{-26}$ for Vela Jr. at frequencies near 166 Hz at 95% efficiency.
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Submitted 22 March, 2022; v1 submitted 29 November, 2021;
originally announced November 2021.
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Searches for Gravitational Waves from Known Pulsars at Two Harmonics in the Second and Third LIGO-Virgo Observing Runs
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1672 additional authors not shown)
Abstract:
We present a targeted search for continuous gravitational waves (GWs) from 236 pulsars using data from the third observing run of LIGO and Virgo (O3) combined with data from the second observing run (O2). Searches were for emission from the $l=m=2$ mass quadrupole mode with a frequency at only twice the pulsar rotation frequency (single harmonic) and the $l=2, m=1,2$ modes with a frequency of both…
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We present a targeted search for continuous gravitational waves (GWs) from 236 pulsars using data from the third observing run of LIGO and Virgo (O3) combined with data from the second observing run (O2). Searches were for emission from the $l=m=2$ mass quadrupole mode with a frequency at only twice the pulsar rotation frequency (single harmonic) and the $l=2, m=1,2$ modes with a frequency of both once and twice the rotation frequency (dual harmonic). No evidence of GWs was found so we present 95\% credible upper limits on the strain amplitudes $h_0$ for the single harmonic search along with limits on the pulsars' mass quadrupole moments $Q_{22}$ and ellipticities $\varepsilon$. Of the pulsars studied, 23 have strain amplitudes that are lower than the limits calculated from their electromagnetically measured spin-down rates. These pulsars include the millisecond pulsars J0437\textminus4715 and J0711\textminus6830 which have spin-down ratios of 0.87 and 0.57 respectively. For nine pulsars, their spin-down limits have been surpassed for the first time. For the Crab and Vela pulsars our limits are factors of $\sim 100$ and $\sim 20$ more constraining than their spin-down limits, respectively. For the dual harmonic searches, new limits are placed on the strain amplitudes $C_{21}$ and $C_{22}$. For 23 pulsars we also present limits on the emission amplitude assuming dipole radiation as predicted by Brans-Dicke theory.
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Submitted 20 July, 2022; v1 submitted 25 November, 2021;
originally announced November 2021.
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A Pixelated Approach to Galaxy Catalogue Incompleteness: Improving the Dark Siren Measurement of the Hubble Constant
Authors:
Rachel Gray,
Chris Messenger,
John Veitch
Abstract:
The use of gravitational wave standard sirens for cosmological analyses is becoming well known, with particular interest in measuring the Hubble constant, $H_0$, and in shedding light on the current tension between early- and late-time measurements. The current tension is over $4σ$ and standard sirens will be able to provide a completely independent measurement. Dark sirens (binary black hole or n…
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The use of gravitational wave standard sirens for cosmological analyses is becoming well known, with particular interest in measuring the Hubble constant, $H_0$, and in shedding light on the current tension between early- and late-time measurements. The current tension is over $4σ$ and standard sirens will be able to provide a completely independent measurement. Dark sirens (binary black hole or neutron star mergers with no electromagnetic counterparts) can be informative if the missing redshift information is provided through the use of galaxy catalogues to identify potential host galaxies of the merger. However, galaxy catalogue incompleteness affects this analysis, and accurate modelling of it is essential for obtaining an unbiased measurement of $H_0$. Previously this has been done by assuming uniform completeness within the sky area of a gravitational wave event. This paper presents an updated methodology in which the completeness of the galaxy catalogue is estimated in a directionally-dependent matter, by pixelating the sky and computing the completeness of the galaxy catalogue along each line of sight. The $H_0$ inference for a single event is carried out on a pixel-by-pixel basis, and the pixels are combined for the final result. A reanalysis of the events in the first gravitational wave transient catalogue (GWTC-1) leads to an improvement on the measured value of $H_0$ of approximately 5% compared to the 68.3% highest-density interval of the equivalent LIGO and Virgo result, with $H_0= 68.8^{+15.9}_{-7.8}$ km s$^{-1}$ Mpc$^{-1}$.
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Submitted 25 March, 2022; v1 submitted 8 November, 2021;
originally announced November 2021.
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The population of merging compact binaries inferred using gravitational waves through GWTC-3
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1612 additional authors not shown)
Abstract:
We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star-black hole mergers. We infer the binary neutron star mer…
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We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star-black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc$^{-3} yr$^{-1}$ and the neutron star-black hole merger rate to be between 7.8 and 140 Gpc$^{-3} yr$^{-1}$, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods used in this work. We infer the binary black hole merger rate, allowing for evolution with redshift, to be between 17.9 and 44 Gpc$^{-3}$ yr$^{-1}$ at a fiducial redshift (z=0.2). The rate of binary black hole mergers is observed to increase with redshift at a rate proportional to $(1+z)^κ$ with $κ=2.9^{+1.7}_{-1.8}$ for $z\lesssim1$. Using both binary neutron star and neutron star-black hole binaries, we obtain a broad, relatively flat neutron star mass distribution extending from $1.2^{+0.1}_{-0.2}$ to $2.0^{+0.3}_{-0.3}\,M_\odot$. We confidently determine that the merger rate as a function of mass sharply declines after the expected maximum neutron star mass, but cannot yet confirm or rule out the existence of a lower mass gap between neutron stars and black holes. We also find the binary black hole mass distribution has localized over- and underdensities relative to a power-law distribution, with peaks emerging at chirp masses of $8.3^{+0.3}_{-0.5}$ and $27.9^{+1.9}_{-1.8}\,M_\odot$. While we continue to find that the mass distribution of a binary's more massive component strongly decreases as a function of primary mass, we observe no evidence of a strongly suppressed merger rate above approximately $60\,M_\odot$ [abridged]
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Submitted 30 January, 2025; v1 submitted 5 November, 2021;
originally announced November 2021.
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Search for Gravitational Waves Associated with Gamma-Ray Bursts Detected by Fermi and Swift During the LIGO-Virgo Run O3b
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1610 additional authors not shown)
Abstract:
We search for gravitational-wave signals associated with gamma-ray bursts detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (1 November 2019 15:00 UTC-27 March 2020 17:00 UTC).We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 gamma-ray bursts and an analysis to target bina…
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We search for gravitational-wave signals associated with gamma-ray bursts detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (1 November 2019 15:00 UTC-27 March 2020 17:00 UTC).We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 gamma-ray bursts and an analysis to target binary mergers with at least one neutron star as short gamma-ray burst progenitors for 17 events. We find no significant evidence for gravitational-wave signals associated with any of these gamma-ray bursts. A weighted binomial test of the combined results finds no evidence for sub-threshold gravitational wave signals associated with this GRB ensemble either. We use several source types and signal morphologies during the searches, resulting in lower bounds on the estimated distance to each gamma-ray burst. Finally, we constrain the population of low luminosity short gamma-ray bursts using results from the first to the third observing runs of Advanced LIGO and Advanced Virgo. The resulting population is in accordance with the local binary neutron star merger rate.
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Submitted 5 November, 2021;
originally announced November 2021.
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GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
S. Akcay,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin
, et al. (1637 additional authors not shown)
Abstract:
The third Gravitational-Wave Transient Catalog (GWTC-3) describes signals detected with Advanced LIGO and Advanced Virgo up to the end of their third observing run. Updating the previous GWTC-2.1, we present candidate gravitational waves from compact binary coalescences during the second half of the third observing run (O3b) between 1 November 2019, 15:00 UTC and 27 March 2020, 17:00 UTC. There ar…
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The third Gravitational-Wave Transient Catalog (GWTC-3) describes signals detected with Advanced LIGO and Advanced Virgo up to the end of their third observing run. Updating the previous GWTC-2.1, we present candidate gravitational waves from compact binary coalescences during the second half of the third observing run (O3b) between 1 November 2019, 15:00 UTC and 27 March 2020, 17:00 UTC. There are 35 compact binary coalescence candidates identified by at least one of our search algorithms with a probability of astrophysical origin $p_\mathrm{astro} > 0.5$. Of these, 18 were previously reported as low-latency public alerts, and 17 are reported here for the first time. Based upon estimates for the component masses, our O3b candidates with $p_\mathrm{astro} > 0.5$ are consistent with gravitational-wave signals from binary black holes or neutron star-black hole binaries, and we identify none from binary neutron stars. However, from the gravitational-wave data alone, we are not able to measure matter effects that distinguish whether the binary components are neutron stars or black holes. The range of inferred component masses is similar to that found with previous catalogs, but the O3b candidates include the first confident observations of neutron star-black hole binaries. Including the 35 candidates from O3b in addition to those from GWTC-2.1, GWTC-3 contains 90 candidates found by our analysis with $p_\mathrm{astro} > 0.5$ across the first three observing runs. These observations of compact binary coalescences present an unprecedented view of the properties of black holes and neutron stars.
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Submitted 23 October, 2023; v1 submitted 5 November, 2021;
originally announced November 2021.
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Constraints on the cosmic expansion history from GWTC-3
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
H. Abe,
F. Acernese,
K. Ackley,
N. Adhikari,
R. X. Adhikari,
V. K. Adkins,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
R. A. Alfaidi,
A. Allocca,
P. A. Altin
, et al. (1654 additional authors not shown)
Abstract:
We use 47 gravitational-wave sources from the Third LIGO-Virgo-KAGRA Gravitational-Wave Transient Catalog (GWTC-3) to estimate the Hubble parameter $H(z)$, including its current value, the Hubble constant $H_0$. Each gravitational-wave (GW) signal provides the luminosity distance to the source and we estimate the corresponding redshift using two methods: the redshifted masses and a galaxy catalog.…
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We use 47 gravitational-wave sources from the Third LIGO-Virgo-KAGRA Gravitational-Wave Transient Catalog (GWTC-3) to estimate the Hubble parameter $H(z)$, including its current value, the Hubble constant $H_0$. Each gravitational-wave (GW) signal provides the luminosity distance to the source and we estimate the corresponding redshift using two methods: the redshifted masses and a galaxy catalog. Using the binary black hole (BBH) redshifted masses, we simultaneously infer the source mass distribution and $H(z)$. The source mass distribution displays a peak around $34\, {\rm M_\odot}$, followed by a drop-off. Assuming this mass scale does not evolve with redshift results in a $H(z)$ measurement, yielding $H_0=68^{+12}_{-7} {\rm km\,s^{-1}\,Mpc^{-1}}$ ($68\%$ credible interval) when combined with the $H_0$ measurement from GW170817 and its electromagnetic counterpart. This represents an improvement of 17% with respect to the $H_0$ estimate from GWTC-1. The second method associates each GW event with its probable host galaxy in the catalog GLADE+, statistically marginalizing over the redshifts of each event's potential hosts. Assuming a fixed BBH population, we estimate a value of $H_0=68^{+8}_{-6} {\rm km\,s^{-1}\,Mpc^{-1}}$ with the galaxy catalog method, an improvement of 42% with respect to our GWTC-1 result and 20% with respect to recent $H_0$ studies using GWTC-2 events. However, we show that this result is strongly impacted by assumptions about the BBH source mass distribution; the only event which is not strongly impacted by such assumptions (and is thus informative about $H_0$) is the well-localized event GW190814.
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Submitted 19 November, 2021; v1 submitted 5 November, 2021;
originally announced November 2021.
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All-sky, all-frequency directional search for persistent gravitational-waves from Advanced LIGO's and Advanced Virgo's first three observing runs
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1605 additional authors not shown)
Abstract:
We present the first results from an all-sky all-frequency (ASAF) search for an anisotropic stochastic gravitational-wave background using the data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. Upper limit maps on broadband anisotropies of a persistent stochastic background were published for all observing runs of the LIGO-Virgo detectors. However, a broadb…
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We present the first results from an all-sky all-frequency (ASAF) search for an anisotropic stochastic gravitational-wave background using the data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. Upper limit maps on broadband anisotropies of a persistent stochastic background were published for all observing runs of the LIGO-Virgo detectors. However, a broadband analysis is likely to miss narrowband signals as the signal-to-noise ratio of a narrowband signal can be significantly reduced when combined with detector output from other frequencies. Data folding and the computationally efficient analysis pipeline, {\tt PyStoch}, enable us to perform the radiometer map-making at every frequency bin. We perform the search at 3072 {\tt{HEALPix}} equal area pixels uniformly tiling the sky and in every frequency bin of width $1/32$~Hz in the range $20-1726$~Hz, except for bins that are likely to contain instrumental artefacts and hence are notched. We do not find any statistically significant evidence for the existence of narrowband gravitational-wave signals in the analyzed frequency bins. Therefore, we place $95\%$ confidence upper limits on the gravitational-wave strain for each pixel-frequency pair, the limits are in the range $(0.030 - 9.6) \times10^{-24}$. In addition, we outline a method to identify candidate pixel-frequency pairs that could be followed up by a more sensitive (and potentially computationally expensive) search, e.g., a matched-filtering-based analysis, to look for fainter nearly monochromatic coherent signals. The ASAF analysis is inherently independent of models describing any spectral or spatial distribution of power. We demonstrate that the ASAF results can be appropriately combined over frequencies and sky directions to successfully recover the broadband directional and isotropic results.
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Submitted 19 October, 2021;
originally announced October 2021.
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Search for subsolar-mass binaries in the first half of Advanced LIGO and Virgo's third observing run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1612 additional authors not shown)
Abstract:
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 $M_\odot$ and 1.0 $M_\odot$ in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio…
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We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 $M_\odot$ and 1.0 $M_\odot$ in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio $q \geq 0.1$. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 $\mathrm{yr}^{-1}$. This implies an upper limit on the merger rate of subsolar binaries in the range $[220-24200] \mathrm{Gpc}^{-3} \mathrm{yr}^{-1}$, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes is $f_\mathrm{PBH} \equiv Ω_\mathrm{PBH} / Ω_\mathrm{DM} \lesssim 6\%$. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at $M_\mathrm{min}=1 M_\odot$, where $f_\mathrm{DBH} \equiv Ω_\mathrm{PBH} / Ω_\mathrm{DM} \lesssim 0.003\%$. These are the tightest limits on spinning subsolar-mass binaries to date.
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Submitted 24 September, 2021;
originally announced September 2021.
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Search for continuous gravitational waves from 20 accreting millisecond X-ray pulsars in O3 LIGO data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato,
C. Anand
, et al. (1612 additional authors not shown)
Abstract:
Results are presented of searches for continuous gravitational waves from 20 accreting millisecond X-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. The search algorithm uses a hidden Markov model, where the transition probabilities allow the frequency to wander according to an…
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Results are presented of searches for continuous gravitational waves from 20 accreting millisecond X-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. The search algorithm uses a hidden Markov model, where the transition probabilities allow the frequency to wander according to an unbiased random walk, while the $\mathcal{J}$-statistic maximum-likelihood matched filter tracks the binary orbital phase. Three narrow sub-bands are searched for each target, centered on harmonics of the measured spin frequency. The search yields 16 candidates, consistent with a false alarm probability of 30% per sub-band and target searched. These candidates, along with one candidate from an additional target-of-opportunity search done for SAX J1808.4$-$3658, which was in outburst during one month of the observing run, cannot be confidently associated with a known noise source. Additional follow-up does not provide convincing evidence that any are a true astrophysical signal. When all candidates are assumed non-astrophysical, upper limits are set on the maximum wave strain detectable at 95% confidence, $h_0^{95\%}$. The strictest constraint is $h_0^{95\%} = 4.7\times 10^{-26}$ from IGR J17062$-$6143. Constraints on the detectable wave strain from each target lead to constraints on neutron star ellipticity and $r$-mode amplitude, the strictest of which are $ε^{95\%} = 3.1\times 10^{-7}$ and $α^{95\%} = 1.8\times 10^{-5}$ respectively. This analysis is the most comprehensive and sensitive search of continuous gravitational waves from accreting millisecond X-ray pulsars to date.
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Submitted 21 January, 2022; v1 submitted 19 September, 2021;
originally announced September 2021.
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Exploring the sky localization and early warning capabilities of third generation gravitational wave detectors in three-detector network configurations
Authors:
Yufeng Li,
Ik Siong Heng,
Man Leong Chan,
Chris Messenger,
Xilong Fan
Abstract:
This work characterises the sky localization and early warning performance of networks of third generation gravitational wave detectors, consisting of different combinations of detectors with either the Einstein Telescope or Cosmic Explorer configuration in sites in North America, Europe and Australia. Using a Fisher matrix method which includes the effect of earth rotation, we estimate the sky lo…
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This work characterises the sky localization and early warning performance of networks of third generation gravitational wave detectors, consisting of different combinations of detectors with either the Einstein Telescope or Cosmic Explorer configuration in sites in North America, Europe and Australia. Using a Fisher matrix method which includes the effect of earth rotation, we estimate the sky localization uncertainty for $1.4\text{M}\odot$-$1.4\text{M}\odot$ binary neutron star mergers at distances $40\text{Mpc}$, $200\text{Mpc}$, $400\text{Mpc}$, $800\text{Mpc}$, $1600\text{Mpc}$, and an assumed astrophysical population up to redshift of 2 to characterize its performance for binary neutron star observations. We find that, for binary neutron star mergers at $200\text{Mpc}$ and a network consisting of the Einstein Telescope, Cosmic Explorer and an extra Einstein Telescope-like detector in Australia(2ET1CE), the upper limit of the size of the 90% credible region for the best localized 90% signals is $0.25\text{deg}^2$. For the simulated astrophysical distribution, this upper limit is $91.79\text{deg}^2$. If the Einstein Telescope-like detector in Australia is replaced with a Cosmic Explorer-like detector(1ET2CE), for $200\text{Mpc}$ case, the upper limit is $0.18\text{deg}^2$, while for astrophysical distribution, it is $56.77\text{deg}^2$. We note that the 1ET2CE network can detect 7.2% more of the simulated astrophysical population than the 2ET1CE network. In terms of early warning performance, we find that a network of 2ET1CE and 1ET2CE networks can both provide early warnings of the order of 1 hour prior to merger with sky localization uncertainties of 30 square degrees or less. Our study concludes that the 1ET2CE network is a good compromise between binary neutron stars detection rate, sky localization and early warning capabilities.
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Submitted 22 September, 2021; v1 submitted 14 September, 2021;
originally announced September 2021.
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A quantum algorithm for gravitational wave matched filtering
Authors:
Sijia Gao,
Fergus Hayes,
Sarah Croke,
Chris Messenger,
John Veitch
Abstract:
Quantum computational devices, currently under development, have the potential to accelerate data analysis techniques beyond the ability of any classical algorithm. We propose the application of a quantum algorithm for the detection of unknown signals in noisy data. We apply Grover's algorithm to matched-filtering, a signal processing technique that compares data to a number of candidate signal te…
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Quantum computational devices, currently under development, have the potential to accelerate data analysis techniques beyond the ability of any classical algorithm. We propose the application of a quantum algorithm for the detection of unknown signals in noisy data. We apply Grover's algorithm to matched-filtering, a signal processing technique that compares data to a number of candidate signal templates. In comparison to the classical method, this provides a speed-up proportional to the square-root of the number of templates, which would make possible otherwise intractable searches. We demonstrate both a proof-of-principle quantum circuit implementation, and a simulation of the algorithm's application to the detection of the first gravitational wave signal GW150914. We discuss the time complexity and space requirements of our algorithm as well as its implications for the currently computationally-limited searches for continuous gravitational waves.
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Submitted 3 September, 2021;
originally announced September 2021.
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GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato,
C. Anand,
S. Anand
, et al. (1407 additional authors not shown)
Abstract:
The second Gravitational-Wave Transient Catalog reported on 39 compact binary coalescences observed by the Advanced LIGO and Advanced Virgo detectors between 1 April 2019 15:00 UTC and 1 October 2019 15:00 UTC. We present GWTC-2.1, which reports on a deeper list of candidate events observed over the same period. We analyze the final version of the strain data over this period with improved calibra…
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The second Gravitational-Wave Transient Catalog reported on 39 compact binary coalescences observed by the Advanced LIGO and Advanced Virgo detectors between 1 April 2019 15:00 UTC and 1 October 2019 15:00 UTC. We present GWTC-2.1, which reports on a deeper list of candidate events observed over the same period. We analyze the final version of the strain data over this period with improved calibration and better subtraction of excess noise, which has been publicly released. We employ three matched-filter search pipelines for candidate identification, and estimate the astrophysical probability for each candidate event. While GWTC-2 used a false alarm rate threshold of 2 per year, we include in GWTC-2.1, 1201 candidates that pass a false alarm rate threshold of 2 per day. We calculate the source properties of a subset of 44 high-significance candidates that have an astrophysical probability greater than 0.5. Of these candidates, 36 have been reported in GWTC-2. If the 8 additional high-significance candidates presented here are astrophysical, the mass range of events that are unambiguously identified as binary black holes (both objects $\geq 3M_\odot$) is increased compared to GWTC-2, with total masses from $\sim 14 M_\odot$ for GW190924_021846 to $\sim 182 M_\odot$ for GW190426_190642. The primary components of two new candidate events (GW190403_051519 and GW190426_190642) fall in the mass gap predicted by pair instability supernova theory. We also expand the population of binaries with significantly asymmetric mass ratios reported in GWTC-2 by an additional two events (the mass ratio is less than $0.65$ and $0.44$ at $90\%$ probability for GW190403_051519 and GW190917_114630 respectively), and find that 2 of the 8 new events have effective inspiral spins $χ_\mathrm{eff} > 0$ (at $90\%$ credibility), while no binary is consistent with $χ_\mathrm{eff} < 0$ at the same significance.
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Submitted 10 May, 2022; v1 submitted 2 August, 2021;
originally announced August 2021.
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All-sky search for long-duration gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1605 additional authors not shown)
Abstract:
After the detection of gravitational waves from compact binary coalescences, the search for transient gravitational-wave signals with less well-defined waveforms for which matched filtering is not well-suited is one of the frontiers for gravitational-wave astronomy. Broadly classified into "short" $ \lesssim 1~$\,s and "long" $ \gtrsim 1~$\,s duration signals, these signals are expected from a var…
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After the detection of gravitational waves from compact binary coalescences, the search for transient gravitational-wave signals with less well-defined waveforms for which matched filtering is not well-suited is one of the frontiers for gravitational-wave astronomy. Broadly classified into "short" $ \lesssim 1~$\,s and "long" $ \gtrsim 1~$\,s duration signals, these signals are expected from a variety of astrophysical processes, including non-axisymmetric deformations in magnetars or eccentric binary black hole coalescences. In this work, we present a search for long-duration gravitational-wave transients from Advanced LIGO and Advanced Virgo's third observing run from April 2019 to March 2020. For this search, we use minimal assumptions for the sky location, event time, waveform morphology, and duration of the source. The search covers the range of $2~\text{--}~ 500$~s in duration and a frequency band of $24 - 2048$ Hz. We find no significant triggers within this parameter space; we report sensitivity limits on the signal strength of gravitational waves characterized by the root-sum-square amplitude $h_{\mathrm{rss}}$ as a function of waveform morphology. These $h_{\mathrm{rss}}$ limits improve upon the results from the second observing run by an average factor of 1.8.
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Submitted 29 July, 2021;
originally announced July 2021.
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All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1608 additional authors not shown)
Abstract:
This paper presents the results of a search for generic short-duration gravitational-wave transients in data from the third observing run of Advanced LIGO and Advanced Virgo. Transients with durations of milliseconds to a few seconds in the 24--4096 Hz frequency band are targeted by the search, with no assumptions made regarding the incoming signal direction, polarization or morphology. Gravitatio…
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This paper presents the results of a search for generic short-duration gravitational-wave transients in data from the third observing run of Advanced LIGO and Advanced Virgo. Transients with durations of milliseconds to a few seconds in the 24--4096 Hz frequency band are targeted by the search, with no assumptions made regarding the incoming signal direction, polarization or morphology. Gravitational waves from compact binary coalescences that have been identified by other targeted analyses are detected, but no statistically significant evidence for other gravitational wave bursts is found. Sensitivities to a variety of signals are presented. These include updated upper limits on the source rate-density as a function of the characteristic frequency of the signal, which are roughly an order of magnitude better than previous upper limits. This search is sensitive to sources radiating as little as $\sim$10$^{-10} M_{\odot} c^2$ in gravitational waves at $\sim$70 Hz from a distance of 10~kpc, with 50\% detection efficiency at a false alarm rate of one per century. The sensitivity of this search to two plausible astrophysical sources is estimated: neutron star f-modes, which may be excited by pulsar glitches, as well as selected core-collapse supernova models.
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Submitted 8 July, 2021;
originally announced July 2021.
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All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
S. Abraham,
F. Acernese,
K. Ackley,
A. Adams,
C. Adams,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
K. M. Aleman,
G. Allen,
A. Allocca
, et al. (1566 additional authors not shown)
Abstract:
We report on an all-sky search for continuous gravitational waves in the frequency band 20-2000\,Hz and with a frequency time derivative in the range of $[-1.0, +0.1]\times10^{-8}$\,Hz/s. Such a signal could be produced by a nearby, spinning and slightly non-axisymmetric isolated neutron star in our galaxy. This search uses the LIGO data from the first six months of Advanced LIGO's and Advanced Vi…
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We report on an all-sky search for continuous gravitational waves in the frequency band 20-2000\,Hz and with a frequency time derivative in the range of $[-1.0, +0.1]\times10^{-8}$\,Hz/s. Such a signal could be produced by a nearby, spinning and slightly non-axisymmetric isolated neutron star in our galaxy. This search uses the LIGO data from the first six months of Advanced LIGO's and Advanced Virgo's third observational run, O3. No periodic gravitational wave signals are observed, and 95\%\ confidence-level (CL) frequentist upper limits are placed on their strengths. The lowest upper limits on worst-case (linearly polarized) strain amplitude $h_0$ are $~1.7\times10^{-25}$ near 200\,Hz. For a circularly polarized source (most favorable orientation), the lowest upper limits are $\sim6.3\times10^{-26}$. These strict frequentist upper limits refer to all sky locations and the entire range of frequency derivative values. For a population-averaged ensemble of sky locations and stellar orientations, the lowest 95\%\ CL upper limits on the strain amplitude are $\sim1.\times10^{-25}$. These upper limits improve upon our previously published all-sky results, with the greatest improvement (factor of $\sim$2) seen at higher frequencies, in part because quantum squeezing has dramatically improved the detector noise level relative to the second observational run, O2. These limits are the most constraining to date over most of the parameter space searched.
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Submitted 8 October, 2021; v1 submitted 1 July, 2021;
originally announced July 2021.
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Constraints on dark photon dark matter using data from LIGO's and Virgo's third observing run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
F. Acernese,
K. Ackley,
C. Adams,
N. Adhikari,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
S. Albanesi,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1605 additional authors not shown)
Abstract:
We present a search for dark photon dark matter that could couple to gravitational-wave interferometers using data from Advanced LIGO and Virgo's third observing run. To perform this analysis, we use two methods, one based on cross-correlation of the strain channels in the two nearly aligned LIGO detectors, and one that looks for excess power in the strain channels of the LIGO and Virgo detectors.…
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We present a search for dark photon dark matter that could couple to gravitational-wave interferometers using data from Advanced LIGO and Virgo's third observing run. To perform this analysis, we use two methods, one based on cross-correlation of the strain channels in the two nearly aligned LIGO detectors, and one that looks for excess power in the strain channels of the LIGO and Virgo detectors. The excess power method optimizes the Fourier Transform coherence time as a function of frequency, to account for the expected signal width due to Doppler modulations. We do not find any evidence of dark photon dark matter with a mass between $m_{\rm A} \sim 10^{-14}-10^{-11}$ eV/$c^2$, which corresponds to frequencies between 10-2000 Hz, and therefore provide upper limits on the square of the minimum coupling of dark photons to baryons, i.e. $U(1)_{\rm B}$ dark matter. For the cross-correlation method, the best median constraint on the squared coupling is $\sim2.65\times10^{-46}$ at $m_{\rm A}\sim4.31\times10^{-13}$ eV/$c^2$; for the other analysis, the best constraint is $\sim 2.4\times 10^{-47}$ at $m_{\rm A}\sim 5.7\times 10^{-13}$ eV/$c^2$. These limits improve upon those obtained in direct dark matter detection experiments by a factor of $\sim100$ for $m_{\rm A}\sim [2-4]\times 10^{-13}$ eV/$c^2$, and are, in absolute terms, the most stringent constraint so far in a large mass range $m_A\sim$ $2\times 10^{-13}-8\times 10^{-12}$ eV/$c^2$.
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Submitted 6 May, 2024; v1 submitted 27 May, 2021;
originally announced May 2021.
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Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
R. Abbott,
T. D. Abbott,
S. Abraham,
F. Acernese,
K. Ackley,
A. Adams,
C. Adams,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
K. M. Aleman,
G. Allen,
A. Allocca,
P. A. Altin,
A. Amato
, et al. (1356 additional authors not shown)
Abstract:
We search for signatures of gravitational lensing in the gravitational-wave signals from compact binary coalescences detected by Advanced LIGO and Advanced Virgo during O3a, the first half of their third observing run. We study: 1) the expected rate of lensing at current detector sensitivity and the implications of a non-observation of strong lensing or a stochastic gravitational-wave background o…
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We search for signatures of gravitational lensing in the gravitational-wave signals from compact binary coalescences detected by Advanced LIGO and Advanced Virgo during O3a, the first half of their third observing run. We study: 1) the expected rate of lensing at current detector sensitivity and the implications of a non-observation of strong lensing or a stochastic gravitational-wave background on the merger-rate density at high redshift; 2) how the interpretation of individual high-mass events would change if they were found to be lensed; 3) the possibility of multiple images due to strong lensing by galaxies or galaxy clusters; and 4) possible wave-optics effects due to point-mass microlenses. Several pairs of signals in the multiple-image analysis show similar parameters and, in this sense, are nominally consistent with the strong lensing hypothesis. However, taking into account population priors, selection effects, and the prior odds against lensing, these events do not provide sufficient evidence for lensing. Overall, we find no compelling evidence for lensing in the observed gravitational-wave signals from any of these analyses.
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Submitted 30 November, 2021; v1 submitted 13 May, 2021;
originally announced May 2021.
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Constraints from LIGO O3 data on gravitational-wave emission due to r-modes in the glitching pulsar PSR J0537-6910
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
S. Abraham,
F. Acernese,
K. Ackley,
A. Adams,
C. Adams,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
K. M. Aleman,
G. Allen,
A. Allocca
, et al. (1574 additional authors not shown)
Abstract:
We present a search for continuous gravitational-wave emission due to r-modes in the pulsar PSR J0537-6910 using data from the LIGO-Virgo Collaboration observing run O3. PSR J0537-6910 is a young energetic X-ray pulsar and is the most frequent glitcher known. The inter-glitch braking index of the pulsar suggests that gravitational-wave emission due to r-mode oscillations may play an important role…
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We present a search for continuous gravitational-wave emission due to r-modes in the pulsar PSR J0537-6910 using data from the LIGO-Virgo Collaboration observing run O3. PSR J0537-6910 is a young energetic X-ray pulsar and is the most frequent glitcher known. The inter-glitch braking index of the pulsar suggests that gravitational-wave emission due to r-mode oscillations may play an important role in the spin evolution of this pulsar. Theoretical models confirm this possibility and predict emission at a level that can be probed by ground-based detectors. In order to explore this scenario, we search for r-mode emission in the epochs between glitches by using a contemporaneous timing ephemeris obtained from NICER data. We do not detect any signals in the theoretically expected band of 86-97 Hz, and report upper limits on the amplitude of the gravitational waves. Our results improve on previous amplitude upper limits from r-modes in J0537-6910 by a factor of up to 3 and place stringent constraints on theoretical models for r-mode driven spin-down in PSR J0537-6910, especially for higher frequencies at which our results reach below the spin-down limit defined by energy conservation.
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Submitted 7 January, 2022; v1 submitted 29 April, 2021;
originally announced April 2021.
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Search for anisotropic gravitational-wave backgrounds using data from Advanced LIGO and Advanced Virgo's first three observing runs
Authors:
The LIGO Scientific Collaboration,
the Virgo Collaboration,
the KAGRA Collaboration,
R. Abbott,
T. D. Abbott,
S. Abraham,
F. Acernese,
K. Ackley,
A. Adams,
C. Adams,
R. X. Adhikari,
V. B. Adya,
C. Affeldt,
D. Agarwal,
M. Agathos,
K. Agatsuma,
N. Aggarwal,
O. D. Aguiar,
L. Aiello,
A. Ain,
P. Ajith,
T. Akutsu,
K. M. Aleman,
G. Allen,
A. Allocca
, et al. (1568 additional authors not shown)
Abstract:
We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called {\tt PyStoch} on data folded over one sidereal day. We use gravitational-wave radiometry (broadban…
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We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called {\tt PyStoch} on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95\% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from $F_{α, Θ} < {\rm (0.013 - 7.6)} \times 10^{-8} {\rm erg \, cm^{-2} \, s^{-1} \, Hz^{-1}},$ and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from $Ω_{α, Θ} < {\rm (0.57 - 9.3)} \times 10^{-9} \, {\rm sr^{-1}}$, depending on direction ($Θ$) and spectral index ($α$). These limits improve upon previous limits by factors of $2.9 - 3.5$. We also set 95\% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic Center, with best upper limits range from $h_0 < {\rm (1.7-2.1)} \times 10^{-25},$ a factor of $\geq 2.0$ improvement compared to previous stochastic radiometer searches.
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Submitted 2 February, 2022; v1 submitted 15 March, 2021;
originally announced March 2021.
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Generalised gravitational burst generation with Generative Adversarial Networks
Authors:
J. McGinn,
C. Messenger,
I. S. Heng,
M. J. Williams
Abstract:
We introduce the use of conditional generative adversarial networks forgeneralised gravitational wave burst generation in the time domain.Generativeadversarial networks are generative machine learning models that produce new databased on the features of the training data set. We condition the network on fiveclasses of time-series signals that are often used to characterise gravitational waveburst…
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We introduce the use of conditional generative adversarial networks forgeneralised gravitational wave burst generation in the time domain.Generativeadversarial networks are generative machine learning models that produce new databased on the features of the training data set. We condition the network on fiveclasses of time-series signals that are often used to characterise gravitational waveburst searches: sine-Gaussian, ringdown, white noise burst, Gaussian pulse and binaryblack hole merger. We show that the model can replicate the features of these standardsignal classes and, in addition, produce generalised burst signals through interpolationand class mixing. We also present an example application where a convolutional neuralnetwork classifier is trained on burst signals generated by our conditional generativeadversarial network. We show that a convolutional neural network classifier trainedonly on the standard five signal classes has a poorer detection efficiency than aconvolutional neural network classifier trained on a population of generalised burstsignals drawn from the combined signal class space.
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Submitted 2 March, 2021;
originally announced March 2021.