85 citations · 112 across the 9 of their papers we have counts for
9 papers
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…
The Dependence of the Type Ia Supernova Host Bias on Observation or Fitting Technique
Jared Hand, Shu Liu, Lluís Galbany +3
More luminous Type Ia supernovae (SNe Ia) prefer less massive hosts and regions of higher star formation. This correlation is inverted during width-color-luminosity light curve sta…
DESC DC2 Data Release Note
LSST Dark Energy Science Collaboration, Bela Abolfathi, Robert Armstrong +54
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created…
GPS Measurements of Precipitable Water Vapor Can Improve Survey Calibration: A Demonstration from KPNO and the Mayall z-band Legacy Survey
W. M. Wood-Vasey, Daniel Perrefort, Ashley Baker
We here show that dual-band GPS measurements of precipitable water vapor (PWV) at KPNO predict the overall per-image sensitivity of the Mayall z-band Legacy Survey (MzLS). The per-…
A Template-Based Approach to the Photometric Classification of SN 1991bg-like Supernovae in the SDSS-II Supernova Survey
Daniel Perrefort, Yike Zhang, Lluís Galbany +2
The use of Type Ia Supernovae (SNe Ia) to measure cosmological parameters has grown significantly over the past two decades. However, there exists a significant diversity in the SN…
The LSST DESC DC2 Simulated Sky Survey
LSST Dark Energy Science Collaboration, Bela Abolfathi, David Alonso +77
We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and…
Single-object Imaging and Spectroscopy to Enhance Dark Energy Science from LSST
Renée A. Hložek, Thomas Collett, Lluís Galbany +9
Single-object imaging and spectroscopy on telescopes with apertures ranging from ~4 m to 40 m have the potential to greatly enhance the cosmological constraints that can be obtaine…
Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST
Rachel Mandelbaum, Jonathan Blazek, Nora Elisa Chisari +12
LSST will open new vistas for cosmology in the next decade, but it cannot reach its full potential without data from other telescopes. Cosmological constraints can be greatly enhan…
pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function due to Precipitable Water Vapor
Daniel Perrefort, W. M. Wood-Vasey, K. Azalee Bostroem +3
We present a Python package, pwv_kpno, that provides models for the atmospheric transmission due to precipitable water vapor (PWV) at user specified sites. Using the package, groun…