Explanipedia

Applications of machine learning in gravitational-wave research with current interferometric detectors Open

E. Cuoco, M. Cavaglià, I. S. Heng, D. Keitel, C. Messenger · 2025

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 warr…

Applications of machine learning in gravitational wave research with current interferometric detectors Open

E. Cuoco, M. Cavaglià, I. S. Heng, D. Keitel, C. Messenger · 2024

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 warr…

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run Open

Sushant Sharma Chaudhary, Andrew Toivonen, G. Waratkar, Geoffrey Mo, Deep Chatterjee , et al. · 2024

Multimessenger searches for binary neutron star (BNS) and neutron star-black hole (NSBH) mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to gravitational wav…

Bayesian real-time classification of multi-messenger electromagnetic and gravitational-wave observations Open

M. Berbel, M. Miravet-Tenés, Sushant Sharma Chaudhary, Simone Albanesi, M. Cavaglià , et al. · 2024

Because of the electromagnetic (EM) radiation produced during the merger, compact binary coalescences with neutron stars may result in multi-messenger observations. In order to follow up on the gravitational-wave (GW) signal with EM telesc…

Detection of anomalies amongst LIGO’s glitch populations with autoencoders Open

Paloma Laguarta, Robin van der Laag, M. Lopez Portilla, Tom Dooney, A. L. Miller , et al. · 2024

Gravitational wave (GW) interferometers are able to detect a change in distance of ~1/10 000th the size of a proton. Such sensitivity leads to large rates of non-gaussian, transient bursts of noise, also known as glitches, which hinder the…

Classification methods for noise transients in advanced gravitational-wave detectors II: Performance tests on Advanced LIGO data Open

J. Powell, A. Torres-Forné, Ryan W. Lynch, Daniele Trifirò, E. Cuoco , et al. · 2024

The data taken by the advanced LIGO and Virgo gravitational-wave detectors contains short duration noise transients that limit the significance of astrophysical detections and reduce the duty cycle of the instruments. As the advanced detec…

Bayesian real-time classification of multi-messenger electromagnetic and gravitational-wave observations Open

M. Berbel, M. Miravet-Tenés, Sushant Sharma Chaudhary, Simone Albanesi, M. Cavaglià , et al. · 2023

Because of the electromagnetic radiation produced during the merger, compact binary coalescences with neutron stars may result in multi-messenger observations. In order to follow up on the gravitational-wave signal with electromagnetic tel…

Angular Power Spectrum of Gravitational-Wave Transient Sources as a Probe of the Large-Scale Structure Open

Y. Zheng, N. Kouvatsos, Jacob Golomb, M. Cavaglià, A. Renzini , et al. · 2023

We present a new, simulation-based inference method to compute the angular power spectrum of the distribution of foreground gravitational-wave transient events. As a first application of this method, we use the binary black hole mergers ob…

Detection of anomalies amongst LIGO's glitch populations with autoencoders Open

Paloma Laguarta, Robin van der Laag, M. Lopez Portilla, Tom Dooney, Andrew L. Miller , et al. · 2023

Gravitational-wave (GW) interferometers are able to detect a change in distance of $\sim$ 1/10,000th the size of a proton. Such sensitivity leads to large appearance rates of non-Gaussian transient noise bursts in the main detector strain,…

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run Open

Sushant Sharma Chaudhary, Andrew Toivonen, G. Waratkar, Geoffrey Mo, Deep Chatterjee , et al. · 2023

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs has resumed with O4. To support this effort, public semi-aut…

Angular power spectrum of gravitational-wave transient sources as a probe of the large-scale structure Open

Y. Zheng, N. Kouvatsos, Jacob Golomb, M. Cavaglià, A. Renzini , et al. · 2023

We present a new, simulation-based inference method to compute the angular power spectrum of the distribution of foreground gravitational-wave transient events. As a first application of this method, we use the binary black hole mergers ob…

Characterization of gravitational-wave detector noise with fractals Open

M. Cavaglià · 2022

We present a new method, based on fractal analysis, to characterize the output of a physical detector that is in the form of a set of real-valued, discrete physical measurements. We apply the method to gravitational-wave data from the late…

Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae Open

Javier M. Antelis, M. Cavaglià, Travis Hansen, Manuel D. Morales, Claudia Moreno , et al. · 2022

We present a follow-up method based on supervised machine learning (ML) to improve the performance in the search of gravitational wave (GW) burts from core-collapse supernovae (CCSNe) using the coherent WaveBurst (cWB) pipeline. The ML mod…

Detecting and reconstructing gravitational waves from the next galactic core-collapse supernova in the advanced detector era Open

M. J. Szczepańczyk, Javier M. Antelis, M. G. Benjamin, M. Cavaglià, D. Rosińska , et al. · 2021

We performed a detailed analysis of the detectability of a wide range of gravitational waves derived from core-collapse supernova simulations using gravitational-wave detector noise scaled to the sensitivity of the upcoming fourth and fift…

NNETFIX: an artificial neural network-based denoising engine for gravitational-wave signals Open

K. Mogushi, R. Quitzow-James, M. Cavaglià, Sumeet Kulkarni, F. J. Hayes · 2021

Instrumental and environmental transient noise bursts in gravitational-wave (GW) detectors, or glitches, may impair astrophysical observations by adversely affecting the sky localization and the parameter estimation of GW signals. Denoisin…

A Needle in (Many) Haystacks: Using the False Alarm Rate to Sift Gravitational Waves from Noise Open

Y. Zheng, M. Cavaglià, R. Quitzow-James, K. Mogushi · 2021

Yanyan Zheng, Marco Cavaglià, Ryan Quitzow-James and Kentaro Mogushi explain how statistics helps scientists spot ripples in the fabric of space and time

NNETFIX: An artificial neural network-based denoising engine for\n gravitational-wave signals Open

K. Mogushi, R. Quitzow-James, M. Cavaglià, Sumeet Kulkarni, F. J. Hayes · 2021

Instrumental and environmental transient noise bursts in gravitational-wave\ndetectors, or glitches, may impair astrophysical observations by adversely\naffecting the sky localization and the parameter estimation of\ngravitational-wave sig…

Spurious Acceleration Noise on the LISA Spacecraft due to Solar Activity Open

Barrett Frank, B. J. Piotrzkowski, B. Bolen, M. Cavaglià, Shane L. Larson · 2019

One source of noise for the Laser Interferometer Space Antenna (LISA) will be time-varying changes of the space environment in the form of solar wind particles and photon pressure from fluctuating solar irradiance. The approximate magnitud…

Jet Geometry and Rate Estimate of Coincident Gamma-Ray Burst and Gravitational-wave Observations Open

K. Mogushi, M. Cavaglià, K. Siellez · 2019

Short gamma-ray burst (SGRB) progenitors have long been thought to be coalescing binary systems of two neutron stars (NSNS) or a neutron star and a black hole. The 2017 August 17th detection of the GW170817 gravitational-wave (GW) signal b…

TensorFlow Enabled Genetic Programming Open

Kai Staats, Edward Pantridge, M. Cavaglià, Iurii Milovanov, A. K. Aniyan · 2017

Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow numerical computation library on both CPU and GPU architec…

Bounds on large extra dimensions from the Generalized Uncertainty Principle Open

M. Cavaglià, B. Harms, Shaoqi Hou · 2017

The Generalized Uncertainty Principle (GUP) implies the existence of a physical minimum length scale [Formula: see text]. In this scenario, black holes must have a radius larger than [Formula: see text]. They are hotter and evaporate faste…

Calibration of the Advanced LIGO detectors for the discovery of the binary black-hole merger GW150914 Open

B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, K. Ackley , et al. · 2017

In Advanced LIGO, detection and astrophysical source parameter estimation of the binary black hole merger GW150914 requires a calibrated estimate of the gravitational-wave strain sensed by the detectors. Producing an estimate from each det…

Exploring the sensitivity of next generation gravitational wavedetectors Open

B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, K. Ackley , et al. · 2017

The second-generation of gravitational-wave detectors are just starting operation, and have already yielding their first detections. Research is now concentrated on how to maximize the scientific potential of gravitational-wave astronomy. …

Calibration of the Advanced LIGO detectors for the discovery of the binary black-hole merger GW150914 Open

B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, K. Ackley , et al. · 2017

In Advanced LIGO, detection and astrophysical source parameter estimation of the binary black hole merger GW150914 requires a calibrated estimate of the gravitational-wave strain sensed by the detectors. Producing an estimate from each det…

Advanced LIGO Open

J. Aasi, B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy , et al. · 2015

The Advanced LIGO gravitational wave detectors are second-generation instruments designed and built for the two LIGO observatories in Hanford, WA and Livingston, LA, USA. The two instruments are identical in design, and are specialized ver…

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