906 citations · 3.5k across the 27 of their papers we have counts for
15 papers · 1 filter
Growth-rate measurement with type-Ia supernovae using ZTF survey simulations
Bastien Carreres, Julian E. Bautista, Fabrice Feinstein +21
Measurements of the growth rate of structures at with peculiar velocity surveys have the potential of testing the validity of general relativity on cosmic scales. In this…
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…
SNIa-Cosmology Analysis Results from Simulated LSST Images: from Difference Imaging to Constraints on Dark Energy
B. Sánchez, R. Kessler, D. Scolnic +19
The Vera Rubin Observatory Legacy Survey of Space and Time (LSST) is expected to process transient detections per night. For precision measurements of cosmological par…
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…
Synergies between Vera C. Rubin Observatory, Nancy Grace Roman Space Telescope, and Euclid Mission: Constraining Dark Energy with Type Ia Supernovae
B. M. Rose, G. Aldering, M. Dai +25
We review the needs of the supernova community for improvements in survey coordination and data sharing that would significantly boost the constraints on dark energy using samples…