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On the relationship between Type Ia supernova luminosity and host-galaxy properties
Yukei S. Murakami, Benjamin E. Stahl, Keto D. Zhang +4
A string of recent studies has debated the exact form and physical origin of an evolutionary trend between the peak luminosity of Type Ia supernovae (SNe Ia) and the properties of…
Improving Bayesian posterior correlation analysis on Type Ia supernova luminosity evolution
Keto D. Zhang, Yukei S. Murakami, Benjamin E. Stahl +2
Much of the cosmological utility thus far extracted from Type Ia supernovae (SNe Ia) relies on the assumption that SN~Ia peak luminosities do not evolve significantly with the age…
Distribution of Si II 6355 Velocities of Type Ia Supernovae and Implications for Asymmetric Explosions
Keto D. Zhang, WeiKang Zheng, Thomas de Jaeger +7
The ejecta velocity is a very important parameter in studying the structure and properties of Type Ia supernovae (SNe Ia). It is also a candidate key parameter in improving the uti…
Periods and classifications of RR Lyrae stars in the globular cluster M15
Andrew M. Hoffman, Yukei S. Murakami, WeiKang Zheng +2
We present measurements of the periods, amplitudes, and types of 74 RR Lyrae stars in the globular cluster M15 derived from Nickel 1 m telescope observations conducted at LickObser…
A measurement of the Hubble constant from Type II supernovae
T. de Jaeger, B. E. Stahl, W. Zheng +3
Progressive increases in the precision of the Hubble-constant measurement via Cepheid-calibrated Type Ia supernovae (SNe Ia) have shown a discrepancy of with the curren…
deepSIP: Linking Type Ia Supernova Spectra to Photometric Quantities with Deep Learning
Benjamin E. Stahl, Jorge Martinez-Palomera, WeiKang Zheng +3
We present {\tt deepSIP} (deep learning of Supernova Ia Parameters), a software package for measuring the phase and -- for the first time using deep learning -- the light-curve sha…