activity
20142026
most citedInvestigating evidence for different black hole accretion modes since redshift z~1

35 citations · 52 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.HE2026

Spectroscopic Analysis of Fermi-detected Blazars using SDSS-V

Mohammed Iddrisu Nlowie, James Aird, Eli Kasai +17

The automated spectroscopic pipeline of the Sloan Digital Sky Survey (SDSS) systematically assigns Galactic star, galaxy, or typical quasar classifications to jet-dominated blazars…

astro-ph.GA2026

The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper

SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273

This paper presents the twentieth data release (DR20) from the Sloan Digital Sky Survey, the third data release of its fifth generation (SDSS-V). SDSS-V is a panoptic spectroscopy…

astro-ph.GA2026

SDSS-V: Revealing a weak accretion state in X-ray selected red quasars

Paloma Guetzoyan, James Aird, Amy L. Rankine +17

Red quasars (rQSOs) have been recognized as a short-lived, early stage in the evolutionary cycle of Active Galactic Nuclei (AGN), with fundamental differences in their intrinsic pr…

astro-ph.GA2026★ 2 cited

CIV wind properties of the SDSS-V X-ray selected quasars: strong optical-to-UV emission is key regardless of X-ray strength

Amy L. Rankine, David Homan, James Aird +25

We present an investigation of the rest-frame optical/UV and X-ray properties for a sample of 3027 X-ray selected quasars between detected in the deepest Spec…

astro-ph.GA2025★ 8 cited

The Nineteenth Data Release of the Sloan Digital Sky Survey

SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo +210

Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial…

astro-ph.GA2025

The VMC Survey : LI. Classifying extragalactic sources using a probabilistic random forest supervised machine learning algorithm

Clara M. Pennock, Jacco Th. van Loon, Maria-Rosa L. Cioni +10

We used a supervised machine learning algorithm (probabilistic random forest) to classify ~130 million sources in the VISTA Survey of the Magellanic Clouds (VMC). We used multi-wav…

astro-ph.GA2024★ 1 cited

JWST PRIMER: strong evidence for the environmental quenching of low-mass galaxies out to

M. L. Hamadouche, R. J. McLure, A. Carnall +11

We present the results of a study investigating the galaxy stellar-mass function (GSMF), size-mass relations and morphological properties of star-forming and quiescent galaxies ove…

astro-ph.GA2024★ 3 cited

Diverse pathways for supermassive black hole-galaxy coevolution

Bryan A. Terrazas, James Aird, Alison L. Coil

Supermassive black holes (SMBHs) are observed in diverse galaxy populations across time yet a clear understanding of how they coevolve with their hosts has not been reached. Physic…

astro-ph.GA2024★ 1 cited

TRINITY VI: Connection between Galaxy Star Formation Rates and Supermassive Black Hole Accretion Rates from z=0-10

Haowen Zhang, Peter Behroozi, Marta Volonteri +6

We infer supermassive black hole (SMBH) accretion rates and Eddington ratios as a function of SMBH/host galaxy mass and redshift with the empirical TRINITY model of dark matter hal…

astro-ph.GA2023★ 2 cited

TRINITY IV: Predictions for Supermassive Black Holes at

Haowen Zhang, Peter Behroozi, Marta Volonteri +6

We present predictions for the high-redshift halo-galaxy-supermassive black hole (SMBH) connection from the TRINITY model. Constrained by a comprehensive compilation of galaxy ($0\…

astro-ph.HE2014★ 35 cited

Investigating evidence for different black hole accretion modes since redshift z~1

A. Georgakakis, P. G. Pérez-González, N. Fanidakis +11

Chandra data in the COSMOS, AEGIS-XD and 4Ms CDFS are combined with optical/near-IR photometry to determine the rest-frame U-V vs V-J colours of X-ray AGN hosts at mean redshifts 0…