Recent Advances and Current Trends in Gravitational Waves

Dear Colleagues,

The search, detection, and characterization of gravitational waves (GW) with the network of earth-based laser interferometers LIGO, VIRGO, GEO, and KAGRA, and with the future network of detectors, such as the Einstein Telescope, Cosmic Explorer, and LISA, involves research in several fronts, such as theoretical and numerical solutions of the general relativity equations and novel computational tools and data analysis techniques. So far, only GW generated by binary black holes (BBH) and binary neutron stars (BNS) have been detected, however, there are still other undetected GW, such as those emitted by exotic sources as core-collapse supernovae (CCSNe) and gamma-ray bursts (GRB). GWs from CCSNe are a singular detection target in upcoming observing campaigns because their electromagnetic (EM) radiation and neutrino emission, along with the still unknown GW emission, will lead to new insights into the multi-messenger astronomy (MMA) and will reveal novel unexpected features of the Universe.

In this Special Issue, we aim to provide a multidisciplinary forum of discoveries, advances, challenges, and trends of GW research from different sources, such as CCSNe and GRB. The scope will include theoretical and numerical studies devoted to understanding the fundamental physics and the generation of GW, new features, and improvements of GW detectors to detect modelled and unmodelled GW, computational tools and data analysis algorithms for detection, characterization, and parameter estimation of GW, and machine learning (ML), and deep learning (DL) methods to enhance the search of GW. Interested researchers are invited to submit scientific results or reviews that contribute to the field of gravitational wave astronomy.

Dr. Javier M. Antelis
Dr. Claudia Moreno
Dr. Michele Zanolin
Prof. Dr. Soma Mukherjee
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Universe is an international peer-reviewed open access monthly journal published by MDPI.

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• theory and numerical simulations of GW
• core-collapse supernovae
• gamma-ray bursts
• gravitational wave detectors
• computational methods for the search, detection, and characterization of GW
• enhancing GW searches with machine learning (ML) and deep learning (DL)