We present the updated open-source code Complete History of Interaction-Powered Supernovae (CHIPS) that can be applied to modeling supernovae (SNe) arising from an interaction with the massive circumstellar medium (CSM) as well as the formation process of the CSM. Our update mainly concerns extensions to hydrogen-poor SNe from stripped progenitors, targeting the modeling of interaction-powered SNe Ibc, such as Type Ibn and Icn SNe. We successfully reproduce the basic properties of the light curves of these types of SNe that occur after the partial eruption of the outermost layer with a mass of 0.01–0.1 M⊙ at ≲1 year before explosion. We also find that the luminosity of the observed precursors can be naturally explained by the outburst that creates the dense CSM, given that the energy of the outburst is efficiently dissipated by collision with an external material, possibly generated by a previous mass eruption. We discuss possible scenarios causing eruptive mass loss based on our results.
Simulating Hydrogen-poor Interaction-powered Supernovae with CHIPS
Abstract
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
The authors thank the anonymous referee for valuable comments that greatly improved the manuscript. This work is supported by JSPS KAKENHI grant Nos. 21J13957, 22K03688, 22K03671, and 20H05639, MEXT, Japan. Y.T. is profoundly grateful to Haruki Shono and Kazuki Teraoka for financial support. D.T. is supported by the Sherman Fairchild Postdoctoral Fellowship at Caltech. T.K. is supported by the RIKEN Junior Research Associate Program.
Software References
MESA (v12778; Paxton et al. 2011, 2013, 2015,2018, 2019; Jermyn et al. 2023), CHIPS (v1.0.1; Takei et al. 2022), Python libraries: Matplotlib (v3.4.2; Hunter 2007), Numpy (v1.17.4; Harris et al. 2020), Scipy (v1.11.1; Virtanen et al. 2020)
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Additional details
- ISSN
- 1538-4357
- Japan Society for the Promotion of Science
- 21J13957
- Japan Society for the Promotion of Science
- 22K03688
- Japan Society for the Promotion of Science
- 22K03671
- Japan Society for the Promotion of Science
- 20H05639
- Sherman Fairchild Foundation
- RIKEN
- Caltech groups
- TAPIR