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We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star-black-hole binaries within ~ 1 minute of the arrival of the merger signal at Earth.…

Gravitational-wave data from interferometric detectors like LIGO, Virgo and KAGRA is routinely analyzed by rapid matched-filtering algorithms to detect compact binary merger events and rapidly infer their spatial position, which enables the…

General Relativity and Quantum Cosmology · Physics 2024-11-20 Pierre-Alexandre Duverne , Stéphanie Hoang , Tito Dal Canton , Sarah Antier , Nicolas Arnaud , Patrice Hello , Francesco Pannarale

Wide, highly eccentric ($e>0.9$) compact binaries can naturally arise as progenitors of gravitational wave (GW) mergers. These systems are expected to have a significant population in the mHz band (e.g., $\sim 3-45$ detectable stellar-mass…

High Energy Astrophysical Phenomena · Physics 2026-05-28 Zeyuan Xuan , Smadar Naoz , Alvin K. Y. Li , Bence Kocsis , Erik Petigura , Alan M. Knee , Jess McIver , Kyle Kremer , Will M. Farr

The pulsar timing array community has recently reported the first evidence of a low-frequency stochastic gravitational wave background. With longer observational timespans we expect to be able to resolve individual gravitational wave…

Instrumentation and Methods for Astrophysics · Physics 2024-07-17 Gabriel E. Freedman , Sarah J. Vigeland

We demonstrate a newly developed mid-infrared planetary nebula (PN) selection technique. It is designed to enable efficient searches for obscured, previously unknown, PN candidates present in the photometric source catalogues of Galactic…

Instrumentation and Methods for Astrophysics · Physics 2015-06-11 Quentin A. Parker , Martin Cohen , Milorad Stupar , David J. Frew , Anne J. Green , Ivan Bojicic , Lizette Guzman-Ramirez , Laurence Sabin , Frederic Vogt

Merger rates of binary black holes, binary neutron stars, and neutron star-black hole binaries in the local Universe (i.e., redshift $z=0$), inferred from the Laser Interferometer Gravitational Wave Observatory (LIGO) and Virgo, are…

General Relativity and Quantum Cosmology · Physics 2022-05-16 Elia Pizzati , Surabhi Sachdev , Anuradha Gupta , Bangalore Sathyaprakash

Gravitational-wave parameter estimation for compact binary signals typically relies on sequential estimation of the properties of the detector Gaussian noise and of the binary parameters. This procedure assumes that the noise variance,…

General Relativity and Quantum Cosmology · Physics 2022-11-14 Cailin Plunkett , Sophie Hourihane , Katerina Chatziioannou

We present the first application of deep learning forecasting for binary neutron stars, neutron star - black hole systems, and binary black hole mergers that span an eccentricity range e <= 0.9. We train neural networks that describe these…

General Relativity and Quantum Cosmology · Physics 2021-10-19 Wei Wei , E. A. Huerta , Mengshen Yun , Nicholas Loutrel , Md Arif Shaikh , Prayush Kumar , Roland Haas , Volodymyr Kindratenko

Rapid parameter estimation of gravitational waves from binary neutron star coalescence, in particular accurate sky localisation in minutes after the initial detection stage, is crucial for the success of multi-messenger observations. One of…

General Relativity and Quantum Cosmology · Physics 2021-03-24 Soichiro Morisaki , Vivien Raymond

Compact binaries in our galaxy are expected to be one of the main sources of gravitational waves for the future eLISA mission. During the mission lifetime, many thousands of galactic binaries should be individually resolved. However, the…

General Relativity and Quantum Cosmology · Physics 2016-03-23 Yann Bouffanais , Edward K. Porter

The most promising source of gravitational waves for the planned detectors LIGO and VIRGO are merging compact binaries, i.e., neutron star/neutron star (NS/NS), neutron star/black hole (NS/BH), and black hole/black-hole (BH/BH) binaries. We…

General Relativity and Quantum Cosmology · Physics 2009-12-30 Curt Cutler , Eanna Flanagan

A crucial component to maximizing the science gain from the multi-messenger follow-up of gravitational-wave (GW) signals from compact binary mergers is the prompt discovery of the electromagnetic counterpart. Ideally, the GW detection and…

High Energy Astrophysical Phenomena · Physics 2020-08-06 Shasvath J. Kapadia , Mukesh Kumar Singh , Md Arif Shaikh , Deep Chatterjee , Parameswaran Ajith

Rapidly growing catalogs of compact binary mergers from advanced gravitational-wave detectors allow us to explore the astrophysics of massive stellar binaries. Merger observations can constrain the uncertain parameters that describe the…

Solar and Stellar Astrophysics · Physics 2023-06-28 Jeff Riley , Ilya Mandel

Parameter estimation of gravitational wave data is often computationally expensive, requiring simplifying assumptions such as circularisation of binary orbits. Although, if included, the sub-dominant effects like orbital eccentricity may…

General Relativity and Quantum Cosmology · Physics 2025-08-11 Rimo Das , V. Gayathri , Divyajyoti , Sijil Jose , Imre Bartos , Sergey Klimenko , Chandra Kant Mishra

We combine amortized neural posterior estimation with importance sampling for fast and accurate gravitational-wave inference. We first generate a rapid proposal for the Bayesian posterior using neural networks, and then attach importance…

General Relativity and Quantum Cosmology · Physics 2023-05-31 Maximilian Dax , Stephen R. Green , Jonathan Gair , Michael Pürrer , Jonas Wildberger , Jakob H. Macke , Alessandra Buonanno , Bernhard Schölkopf

Gravitational waves (GWs) from merging compact objects encode direct information about the luminosity distance to the binary. When paired with a redshift measurement, this enables standard-siren cosmology: a Hubble diagram can be…

Cosmology and Nongalactic Astrophysics · Physics 2024-08-26 Amanda M. Farah , Thomas A. Callister , Jose María Ezquiaga , Michael Zevin , Daniel E. Holz

Modern simulation-based inference techniques use neural networks to solve inverse problems efficiently. One notable strategy is neural posterior estimation (NPE), wherein a neural network parameterizes a distribution to approximate the…

Instrumentation and Methods for Astrophysics · Physics 2024-03-06 Alex Kolmus , Justin Janquart , Tomasz Baka , Twan van Laarhoven , Chris Van Den Broeck , Tom Heskes

We analyze the problem of parameter estimation for compact binary systems that could be detected by ground-based gravitational wave detectors. So far this problem has only been dealt with for the inspiral and the ringdown phases separately.…

General Relativity and Quantum Cosmology · Physics 2009-11-11 Manuel Luna , Alicia M. Sintes

We search for gravitational-wave (GW) signals from compact binary coalescences (CBC) in the $2024$ mock data challenge of the Einstein Telescope (ET) with a detection algorithm that does not rely on the waveform of the signal searched. With…

General Relativity and Quantum Cosmology · Physics 2025-05-14 Adrian Macquet , Tito Dal Canton , Tania Regimbau

The recent Advanced LIGO and Advanced Virgo joint observing runs have not claimed a stochastic gravitational-wave background detection, but one expects this to change as the sensitivity of the detectors improves. The challenge of claiming a…

General Relativity and Quantum Cosmology · Physics 2021-03-03 Katarina Martinovic , Patrick M. Meyers , Mairi Sakellariadou , Nelson Christensen