The 4D Einstein–Gauss–Bonnet theory of gravity: a review

PGS Fernandes, P Carrilho, T Clifton… - … and Quantum Gravity, 2022 - iopscience.iop.org
We review the topic of 4D Einstein–Gauss–Bonnet (4DEGB) gravity, which has been the
subject of considerable interest over the past two years. Our review begins with a general …

Rates of compact object coalescences

I Mandel, FS Broekgaarden - Living Reviews in Relativity, 2022 - Springer
Gravitational-wave detections are enabling measurements of the rate of coalescences of
binaries composed of two compact objects—neutron stars and/or black holes. The …

GWTC-3: Compact binary coalescences observed by LIGO and Virgo during the second part of the third observing run

R Abbott, TD Abbott, F Acernese, K Ackley, C Adams… - Physical Review X, 2023 - APS
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 …

Population of merging compact binaries inferred using gravitational waves through GWTC-3

R Abbott, TD Abbott, F Acernese, K Ackley, C Adams… - Physical Review X, 2023 - APS
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 …

GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run

R Abbott, TD Abbott, F Acernese, K Ackley, C Adams… - Physical Review D, 2024 - APS
The second Gravitational-Wave Transient Catalog, GWTC-2, reported on 39 compact binary
coalescences observed by the Advanced LIGO and Advanced Virgo detectors between 1 …

Tests of general relativity with GWTC-3

R Abbott, H Abe, F Acernese, K Ackley… - arxiv preprint arxiv …, 2021 - arxiv.org
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 …

Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Strongly interacting matter exhibits deconfined behavior in massive neutron stars

E Annala, T Gorda, J Hirvonen, O Komoltsev… - Nature …, 2023 - nature.com
Neutron-star cores contain matter at the highest densities in our Universe. This highly
compressed matter may undergo a phase transition where nuclear matter melts into …

[HTML][HTML] NANOGrav signal from the end of inflation and the LIGO mass and heavier primordial black holes

A Ashoorioon, K Rezazadeh, A Rostami - Physics Letters B, 2022 - Elsevier
Abstract Releasing the 12.5-year pulsar timing array data, the North American Nanohertz
Observatory for Gravitational Waves (NANOGrav) has recently reported the evidence for a …

Exploring QCD matter in extreme conditions with Machine Learning

K Zhou, L Wang, LG Pang, S Shi - Progress in Particle and Nuclear Physics, 2024 - Elsevier
In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …