Results 1 to 10 of about 123,999 (197)

The Large Early Galaxy Astrophysics Census (LEGA-C) Data Release 3: 3000 High-Quality Spectra of $K_s$-selected galaxies at $z>0.6$ [PDF]

open access: greenAstrophysical Journal Supplement Series, 2021
We present the third and final data release of the Large Early Galaxy Astrophysics Census (LEGA-C), an ESO/Very Large Telescope public spectroscopic survey targeting 0.6 < z < 1.0, Ks -selected galaxies.
Arjen van der Wel   +21 more
semanticscholar   +5 more sources

Local and large-scale effects on the astrophysics of void-galaxies [PDF]

open access: greenMonthly notices of the Royal Astronomical Society, 2022
Galaxies in cosmic voids have been reported with properties related to a delayed evolution compared to the rest of the Universe. These characteristics reflect the interaction of galaxies with the environment.
Agustín M. Rodríguez-Medrano   +5 more
openalex   +3 more sources

Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in View of Future Gravitational Wave Observations [PDF]

open access: goldAstrophysical Journal, 2023
With the growing number of gravitational wave (GW) detections and the advent of large galaxy redshift surveys, a new era in cosmology is emerging. This study explores the synergies between GWs and galaxy surveys to jointly constrain cosmological and GW ...
Nicola Borghi   +6 more
openalex   +3 more sources

The Binary–Host Connection: Astrophysics of Gravitational-Wave Binaries from Host Galaxy Properties [PDF]

open access: bronzeAstrophysical Journal, 2020
Gravitational waves from the merger of binary neutron stars (BNSs) are accompanied by electromagnetic counterparts, making it possible to identify the associated host galaxy.
Susmita Adhikari   +9 more
openalex   +3 more sources

Atomic Hydrogen in the Milky Way: A Stepping Stone in the Evolution of Galaxies [PDF]

open access: yesAnnual Review of Astronomy and Astrophysics, 2023
Atomic hydrogen (Hi) is a critical stepping stone in the gas evolution cycle of the interstellar medium (ISM) of the Milky Way. Hi traces both the cold, premolecular state before star formation and the warm, diffuse ISM before and after star formation ...
N. McClure-Griffiths   +2 more
semanticscholar   +1 more source

The Cold Interstellar Medium of Galaxies in the Local Universe [PDF]

open access: yesAnnual Review of Astronomy and Astrophysics, 2022
The cold interstellar medium (ISM) plays a central role in the galaxy evolution process. It is the reservoir that fuels galaxy growth via star formation, the repository of material formed by these stars, and a sensitive tracer of internal and external ...
A. Saintonge, B. Catinella
semanticscholar   +1 more source

Diagnosing Turbulence in the Neutral and Molecular Interstellar Medium of Galaxies [PDF]

open access: yesPublications of the Astronomical Society of the Pacific, 2021
Magnetohydrodynamic (MHD) turbulence is a crucial component of the current paradigms of star formation, dynamo theory, particle transport, magnetic reconnection, and evolution of structure in the interstellar medium (ISM) of galaxies.
B. Burkhart
semanticscholar   +1 more source

Cosmic ray feedback in galaxies and galaxy clusters [PDF]

open access: yesThe Astronomy and Astrophysics Review, 2023
Understanding the physical mechanisms that control galaxy formation is a fundamental challenge in contemporary astrophysics. Recent advances in the field of astrophysical feedback strongly suggest that cosmic rays (CRs) may be crucially important for our
M. Ruszkowski, C. Pfrommer
semanticscholar   +1 more source

EVOLUTION OF THE STARS AND GAS IN GALAXIES. [PDF]

open access: yes, 2022
Essentially everything of astronomical interest is either part of a galaxy, or from a galaxy, or otherwise relevant to the origin or evolution of galaxies. Diverse examples are that the isotropic composition of meteorites provides clues to the history of
B. Tinsley
semanticscholar   +1 more source

Robust Field-level Likelihood-free Inference with Galaxies [PDF]

open access: yesAstrophysical Journal, 2023
We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project.
Natal'i S. M. de Santi   +14 more
semanticscholar   +1 more source

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