898 citations · 1.7k across the 6 of their papers we have counts for
7 papers
Cosmic Pairs: A DESI Census of Dual and Offset AGN as Precursors to Massive Black Hole Binaries
Ekaterine Dadiani, Antonella Palmese, Yihao Zhou +52
We present a systematic census of dual and offset active galactic nuclei (AGN) using spectroscopic data from the first data release (DR1) of the Dark Energy Spectroscopic Instrumen…
Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey
Claire Lamman, Daniel Eisenstein, Jaime E. Forero-Romero +36
We explore correlations between the orientations of small galaxy groups, or "multiplets", and the large-scale gravitational tidal field. Using data from the Dark Energy Spectroscop…
A Spectroscopic Search for Optical Emission Lines from Dark Matter Decay
Hanyue Wang, Daniel J. Eisenstein, Jessica Nicole Aguilar +19
We search for narrow-line optical emission from dark matter decay by stacking dark-sky spectra from the Dark Energy Spectroscopic Instrument (DESI) at the redshift of nearby galaxi…
Survey Operations for the Dark Energy Spectroscopic Instrument
E. F. Schlafly, D. Kirkby, D. J. Schlegel +47
The Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at covering 14,000 square degrees of the sky. In its…
Cosmological implications of baryon acoustic oscillation (BAO) measurements
Éric Aubourg, Stephen Bailey, Julian E. Bautista +90
We derive constraints on cosmological parameters and tests of dark energy models from the combination of baryon acoustic oscillation (BAO) measurements with cosmic microwave backgr…
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 9 Spectroscopic Galaxy Sample
Lauren Anderson, Eric Aubourg, Stephen Bailey +73
We present measurements of galaxy clustering from the Baryon Oscillation Spectroscopic Survey (BOSS), which is part of the Sloan Digital Sky Survey III (SDSS-III). These use the Da…
How to Find More Supernovae with Less Work: Object Classification Techniques for Difference Imaging
S. Bailey, C. Aragon, R. Romano +3
We present the results of applying new object classification techniques to difference images in the context of the Nearby Supernova Factory supernova search. Most current supernova…