Results 61 to 70 of about 163,876 (250)

Wandering Supermassive Black Holes in Milky-Way-mass Halos [PDF]

open access: yes, 2018
We present a self-consistent prediction from a large-scale cosmological simulation for the population of “wandering” supermassive black holes (SMBHs) of mass greater than 106 M ⊙ on long-lived, kpc-scale orbits within Milky Way (MW)-mass galaxies.
M. Tremmel   +4 more
semanticscholar   +1 more source

Supermassive black holes in the early universe [PDF]

open access: yesContemporary physics (Print), 2019
The emergence of the first black holes during the first billion years of cosmic history marks a key event in cosmology. Their formation is part of the overall process of ending the cosmic dark ages, when the first stars appeared in low-mass dark matter ...
Aaron Smith, V. Bromm
semanticscholar   +1 more source

Primordial black holes as dark matter candidates

open access: yesSciPost Physics Lecture Notes, 2022
We review the formation and evaporation of primordial black holes (PBHs) and their possible contribution to dark matter. Various constraints suggest they could only provide most of it in the mass windows $10^{17}$ - $10^{23}\,$g or $10$ - $10^{2}\,M_ ...
Bernard Carr, Florian Kuhnel
doaj   +1 more source

Primordial seeds of supermassive black holes

open access: yes, 2012
Supermassive black holes exist in the centers of galaxies, including Milky Way, but there is no compelling theory of their formation. Furthermore, observations of quasars imply that supermassive black holes have already existed at some very high ...
Kawasaki, Masahiro   +2 more
core   +1 more source

A Radio Census of Binary Supermassive Black Holes

open access: yes, 2010
Using archival VLBI data for 3114 radio-luminous active galactic nuclei, we searched for binary supermassive black holes using a radio spectral index mapping technique which targets spatially resolved, double radio-emitting nuclei.
Beasley   +56 more
core   +1 more source

Detection of Coronal Magnetic Activity in nearby Active Supermassive Black Holes [PDF]

open access: yesAstrophysical Journal, 2018
Central supermassive black holes of active galactic nuclei host hot plasma with a temperature of 109 K, namely coronae. Like the Sun, black hole coronae are theoretically believed to be heated by their magnetic activity, which have not been observed yet.
Y. Inoue, A. Doi
semanticscholar   +1 more source

Deep Space Network Radio Science and Ground‐Based Planetary Radar in the Next Decade

open access: yesRadio Science, Volume 60, Issue 7, July 2025.
Abstract The Deep Space Network (DSN) has been a core operational element of NASA's crewed and robotic exploration of the Solar System since the early 1960s. The primary role of the DSN has been to acquire telemetry and navigation data, but over the years, its radiometric and radar capabilities have expanded to form a system for obtaining unique ...
R. S. Park   +13 more
wiley   +1 more source

Supermassive Black Hole Growth in Hierarchically Merging Nuclear Star Clusters

open access: yesThe Astrophysical Journal
Supermassive black holes are prevalent at the centers of massive galaxies, and their masses scale with galaxy properties, increasing evidence suggesting that these trends continue to low stellar masses.
Konstantinos Kritos   +7 more
doaj   +1 more source

Starburst-AGN Connection: A Lesson from High-z Powerful Radio Galaxies

open access: yes, 2004
Powerful radio galaxies at high redshift are highly useful in studies of early evolution of AGN-hosting galaxies because their observed optical and near infrared light are dominated by their stellar population rather than the nonthermal continuum emitted
Taniguchi, Yoshiaki
core   +2 more sources

Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using SDSS DR17)

open access: yesAstronomische Nachrichten, Volume 346, Issue 5, June 2025.
ABSTRACT Classification of galaxies, stars, and quasars using spectral data is fundamental to astronomy, but often relies heavily on redshift. This study evaluates the performance of 10 machine learning algorithms on SDSS data to classify these objects, with a particular focus on scenarios where redshift information is unavailable.
Debashis Chatterjee, Prithwish Ghosh
wiley   +1 more source

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