output
20082024
most citedThe second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves

101 citations

7 papers

astro-ph.SR2024★ 15 cited

The Formation of Black Holes in Non-interacting, Isolated Binaries. Gaia Black Holes as Calibrators of Stellar Winds From Massive Stars

Matthias U. Kruckow, Jeff J. Andrews, Tassos Fragos +10

Context. The black holes discovered using Gaia, especially Gaia BH1 and BH2, have low mass companions of solar-like metallicity in wide orbits. For standard isolated binary evoluti…

astro-ph.HE2024★ 7 cited

Formation of Wind-Fed Black Hole High-mass X-ray Binaries: The Role of Roche-lobe-Overflow Post Black-Hole Formation

Zepei Xing, Tassos Fragos, Emmanouil Zapartas +12

The three dynamically confirmed wind-fed black hole high-mass X-ray binaries (BH-HMXBs) are suggested to all contain a highly spinning black hole (BH). However, based on the theori…

astro-ph.HE2023★ 101 cited

The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves

J. Antoniadis, P. Arumugam, S. Arumugam +95

The nanohertz gravitational wave background (GWB) is expected to be an aggregate signal of an ensemble of gravitational waves emitted predominantly by a large population of coalesc…

astro-ph.HE2023★ 79 cited

The second data release from the European Pulsar Timing Array: VI. Challenging the ultralight dark matter paradigm

Clemente Smarra, Boris Goncharov, Enrico Barausse +68

Pulsar Timing Array experiments probe the presence of possible scalar or pseudoscalar ultralight dark matter particles through decade-long timing of an ensemble of galactic millise…

gr-qc2023★ 29 cited

Practical approaches to analyzing PTA data: Cosmic strings with six pulsars

Hippolyte Quelquejay Leclere, Pierre Auclair, Stanislav Babak +69

We search for a stochastic gravitational wave background (SGWB) generated by a network of cosmic strings using six millisecond pulsars from Data Release 2 (DR2) of the European Pul…

q-bio.NC2021★ 70 cited

Drawing Inspiration from Biological Dendrites to Empower Artificial Neural Networks

Spyridon Chavlis, Panayiota Poirazi

This article highlights specific features of biological neurons and their dendritic trees, whose adoption may help advance artificial neural networks used in various machine learni…