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astro-ph.CO2023
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae
H. Qu, M. Sako, M. Vincenzi +58
Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies us…
astro-ph.CO2023
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
Helen Qu, Masao Sako
Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic resources. In order to maximize the…
astro-ph.CO2023★ 12 cited
The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects
J. Lee, M. Acevedo, M. Sako +64
Wavelength-dependent atmospheric effects impact photometric supernova flux measurements for ground-based observations. We present corrections on supernova flux measurements from th…