Daniel Kasen
Lawrence Berkeley National Laboratory
110 Papers
1.4K Citations
Daniel Kasen is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Supernova & Light curve. The author has an hindex of 45, co-authored 110 publications. Previous affiliations of Daniel Kasen include University of California, Berkeley & Space Telescope Science Institute.
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Papers
Type II Supernovae: Model Light Curves and Standard Candle Relationships
Daniel Kasen,S. E. Woosley +1 more
TL;DR: A survey of Type II supernovae explosion models has been carried out to determine how their light curves and spectra vary with their mass, metallicity, and explosion energy as discussed by the authors.
350
Secondary Maximum in the Near-Infrared Light Curves of Type Ia Supernovae
TL;DR: In this article, a theoretical study of the near-infrared (NIR) light curves of Type Ia supernovae (SNe Ia) was conducted, and it was shown that the NIR light curves are distinguished by a secondary maximum occurring roughly 20-30 days after the initial one.
312
Radioactivity and thermalization in the ejecta of compact object mergers and their impact on kilonova light curves
TL;DR: In this paper, the authors consider the uncertainties in r-process decay, describe the physical processes by which the energy of the decay products is absorbed in the ejecta, and present time-dependent thermalization efficiencies for each particle type.
278
Supernova light curves powered by fallback accretion
TL;DR: In this paper, the authors used spherically symmetric hydrodynamical models to estimate the accretion rate at late times for a range of progenitor masses and radii and explosion energies.
258
Radioactivity and thermalization in the ejecta of compact object mergers and their impact on kilonova light curves
TL;DR: In this article, the authors consider the uncertainties in the radioactivity of the radioactive decay products and calculate time-dependent thermalization efficiencies for each particle type, which can be used to improve light curve models.
243