output
20022025
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing astro-ph.COShow all

75 papers · 1 filter

astro-ph.CO20221 cited

Candidate cosmic filament in the GJ526 field, mapped with the NIKA2 camera

J. -F. Lestrade, F. -X. Desert, G. Lagache +44

Distinctive large-scale structures have been identified in the spatial distribution of optical galaxies up to redshift z ~ 1. In the more distant universe, the relationship between…

astro-ph.CO202213 cited

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series

George Stein, Uros Seljak, Vanessa Bohm +37

We construct a physically-parameterized probabilistic autoencoder (PAE) to learn the intrinsic diversity of type Ia supernovae (SNe Ia) from a sparse set of spectral time series. T…

astro-ph.CO2022

Massive merging cluster PSZ2G091 as seen by the NIKA2 camera

E. Artis, R. Adam, P. Ade +49

PSZ2 G091.83+26.11 is a galaxy cluster with M500 = 7.43 x 10^14 Msun at z = 0.822 1. This object exhibits a complex morphology with a clear bimodality observed in X-rays. However,…

astro-ph.CO202211 cited

LyMAS reloaded: improving the predictions of the large-scale Lyman-α forest statistics from dark matter density and velocity fields

S. Peirani, S. Prunet, S. Colombi +6

We present LyMAS2, an improved version of the "Lyman-α Mass Association Scheme" aiming at predicting the large-scale 3d clustering statistics of the Lyman-α forest (Ly-α) from mode…

astro-ph.CO202214 cited

Estimation of the masses in the Local Group by Gradient Boosted Decision Trees

Edoardo Carlesi, Yehuda Hoffman, Noam Libeskind

Our goal is to estimate the mass of the Local Group (LG) and the individual masses of its primary galaxies, the M31 and the Milky Way (MW). We do this by means of a supervised mach…

astro-ph.CO202221 cited

Hamiltonian Monte Carlo reconstruction from peculiar velocities

Aurélien Valade, Yehuda Hoffman, Noam I Libeskind +1

The problem of the reconstruction of the large scale density and velocity fields from peculiar velocities surveys is addressed here within a Bayesian framework by means of Hamilton…