1.6k citations · 13.8k across the 142 of their papers we have counts for
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Target Selection for the DESI Peculiar Velocity Survey
Christoph Saulder, Cullan Howlett, Kelly A. Douglass +35
We describe the target selection and characteristics of the DESI Peculiar Velocity Survey, the largest survey of peculiar velocities (PVs) using both the fundamental plane (FP) and…
Report of the Topical Group on Dark Energy and Cosmic Acceleration: Complementarity of Probes and New Facilities for Snowmass 2021
Brenna Flaugher, Vivian Miranda, David J. Schlegel +27
The mechanism(s) driving the early- and late-time accelerated expansion of the Universe represent one of the most compelling mysteries in fundamental physics today. The path to und…
A Spectroscopic Road Map for Cosmic Frontier: DESI, DESI-II, Stage-5
David J. Schlegel, Simone Ferraro, Greg Aldering +62
In this white paper, we present an experimental road map for spectroscopic experiments beyond DESI. DESI will be a transformative cosmological survey in the 2020s, mapping 40 milli…
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…
The Dark Energy Survey Supernova Program results: Type Ia Supernova brightness correlates with host galaxy dust
Cole Meldorf, Antonella Palmese, Dillon Brout +68
Cosmological analyses with type Ia supernovae (SNe Ia) often assume a single empirical relation between color and luminosity () and do not account for varying host-galaxy dust p…
Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential
Jonathan A. Blazek, Doug Clowe, Thomas E. Collett +25
A new generation of powerful dark energy experiments will open new vistas for cosmology in the next decade. However, these projects cannot reach their utmost potential without data…
Dark Energy Survey Year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space
C. Doux, B. Jain, D. Zeurcher +135
We present cosmological constraints from the analysis of angular power spectra of cosmic shear maps based on data from the first three years of observations by the Dark Energy Surv…
Real-time Cosmology with High Precision Spectroscopy and Astrometry
Sukanya Chakrabarti, Anthony H. Gonzalez, Steve Eikenberry +9
Breakthroughs in physics and astrophysics are often driven by technological advances, with the recent detection of gravitational waves being one such example. This white paper focu…
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification
Robert Morgan, B. Nord, K. Bechtol +48
Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectro…
Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys
A. Leauthaud, A. Amon, S. Singh +104
Lensing Without Borders is a cross-survey collaboration created to assess the consistency of galaxy-galaxy lensing signals () across different data-sets and to carry out end-to…
Finding quadruply imaged quasars with machine learning. I. Methods
A. Akhazhanov, A. More, A. Amini +68
Strongly lensed quadruply imaged quasars (quads) are extraordinary objects. They are very rare in the sky -- only a few tens are known to date -- and yet they provide unique inform…
Accuracy of environmental tracers and consequence for determining the Type Ia Supernovae magnitude step
M. Briday, M. Rigault, R. Graziani +12
Type Ia Supernovae (SNe Ia) are standardizable candles that allow us to measure the recent expansion rate of the Universe. Due to uncertainties in progenitor physics, potential ast…
Out of One, Many: Distinguishing Time Delays from Lensed Supernovae
Mikhail Denissenya, Satadru Bag, Alex G. Kim +2
Gravitationally lensed Type Ia supernovae are an emerging probe with great potential for constraining dark energy, spatial curvature, and the Hubble constant. The multiple images a…
The Twins Embedding of Type Ia Supernovae I: The Diversity of Spectra at Maximum Light
K. Boone, G. Aldering, P. Antilogus +34
We study the spectral diversity of Type Ia supernovae (SNe Ia) at maximum light using high signal-to-noise spectrophotometry of 173 SNe Ia from the Nearby Supernova Factory. We dec…
The Twins Embedding of Type Ia Supernovae II: Improving Cosmological Distance Estimates
K. Boone, G. Aldering, P. Antilogus +34
We show how spectra of Type Ia supernovae (SNe Ia) at maximum light can be used to improve cosmological distance estimates. In a companion article, we used manifold learning to bui…
The Impact of Observing Strategy on Cosmological Constraints with LSST
Michelle Lochner, Dan Scolnic, Husni Almoubayyed +24
The generation-defining Vera C. Rubin Observatory will make state-of-the-art measurements of both the static and transient universe through its Legacy Survey for Space and Time (LS…
The HST See Change Program: I. Survey Design, Pipeline, and Supernova Discoveries
Brian Hayden, David Rubin, Kyle Boone +53
The See Change survey was designed to make cosmological measurements by efficiently discovering high-redshift Type Ia supernovae (SNe Ia) and improving cluster mass measureme…
Dark Energy Survey Year 3 Results: Calibration of Lens Sample Redshift Distributions using Clustering Redshifts with BOSS/eBOSS
R. Cawthon, J. Elvin-Poole, A. Porredon +83
We present clustering redshift measurements for Dark Energy Survey (DES) lens sample galaxies to be used in weak gravitational lensing and galaxy clustering studies. To perform thi…
Be It Unresolved: Measuring Time Delays from Lensed Supernovae
Satadru Bag, Alex G. Kim, Eric V. Linder +1
Gravitationally lensed Type Ia supernovae may be the next frontier in cosmic probes, able to deliver independent constraints on dark energy, spatial curvature, and the Hubble const…
The Effect of Environment on Type Ia Supernovae in the Dark Energy Survey Three-Year Cosmological Sample
L. Kelsey, M. Sullivan, M. Smith +73
Analyses of type Ia supernovae (SNe Ia) have found puzzling correlations between their standardised luminosities and host galaxy properties: SNe Ia in high-mass, passive hosts appe…
Characterizing the Sample Selection for Supernova Cosmology
Alex G. Kim
Type Ia supernovae (SNe Ia) are used as distance indicators to infer the cosmological parameters that specify the expansion history of the universe. Parameter inference depends on…
OzDES multi-object fibre spectroscopy for the Dark Energy Survey: Results and second data release
C. Lidman, B. E. Tucker, T. M. Davis +101
We present a description of the Australian Dark Energy Survey (OzDES) and summarise the results from its six years of operations. Using the 2dF fibre positioner and AAOmega spectro…
Probing gravity and growth of structure with gravitational waves and galaxies' peculiar velocity
Antonella Palmese, Alex G. Kim
The low-redshift velocity field is a unique probe of the growth of cosmic structure and gravity. We propose to use distances from gravitational wave (GW) detections, in conjunction…
The SNEMO and SUGAR Companion Datasets
G. Aldering, P. Antilogus, C. Aragon +41
The Nearby Supernova Factory has made spectrophotometric observations of Type Ia supernovae since . This work presents an interim version of the data produced, including $210…