Stellar Interpretation of Meteoritic Data and PLotting for Everyone (SIMPLE): Isotope Mixing Lines for Six Sets of Core-Collapse Supernova Models
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
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2026
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| author | Pignatari, Marco Ek, Mattias Makhatadze, Georgy V. Bálazs, Gábor G. Roberti, Lorenzo Ball, James M. Cseh, Borbála Chieffi, Alessandro Fryer, Chris Herwig, Falk Incollingo, Chiara Lawson, Thomas Limongi, Marco Rauscher, Thomas Schönbächler, Maria Sieverding, Andre Trappitsch, Reto Lugaro, Maria |
| author_facet | Pignatari, Marco Ek, Mattias Makhatadze, Georgy V. Bálazs, Gábor G. Roberti, Lorenzo Ball, James M. Cseh, Borbála Chieffi, Alessandro Fryer, Chris Herwig, Falk Incollingo, Chiara Lawson, Thomas Limongi, Marco Rauscher, Thomas Schönbächler, Maria Sieverding, Andre Trappitsch, Reto Lugaro, Maria |
| contents | Bulk meteorites and their inclusions exhibit, for many chemical elements, isotopic variability produced by nucleosynthetic events in stars and supernovae before the formation of the Sun. While the exact astrophysical origins of these variations are still a matter of debate, their identification provides insights on the environment of the Sun's birth and the formation of the Solar System. Here we present a new Python tool called SIMPLE (Stellar Interpretation of Meteoritic Data and Plotting for Everyone) designed to compare the isotopic composition of the ejecta from core-collapse supernovae (CCSNe) with meteoritic data. In the present version, the SIMPLE toolkit includes a dataset of 18 CCSN models, from 6 different published sets, with initial masses of 15, 20, and 25 M$_{\odot}$ and solar metallicity. SIMPLE is designed to easily extract the isotopic abundances predicted by each CCSN model for any elements and post-process them into the format needed to compare to the meteoritic data, therefore, facilitating their interpretation. As an example of how to use SIMPLE, we analyze the composition of the Ni isotopes in the 18 models and confirm that bulk meteorite Ni anomalies are compatible with material from the innermost Si-rich region of CCSN ejecta. Designed as a collaborative platform, SIMPLE is open-source and welcomes community contributions to enhance its development and dissemination for stellar nucleosynthesis and meteoritic studies. Future enhancements include addition of more model predictions and inclusion of mixing between different layers of supernova ejecta. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_04354 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Stellar Interpretation of Meteoritic Data and PLotting for Everyone (SIMPLE): Isotope Mixing Lines for Six Sets of Core-Collapse Supernova Models Pignatari, Marco Ek, Mattias Makhatadze, Georgy V. Bálazs, Gábor G. Roberti, Lorenzo Ball, James M. Cseh, Borbála Chieffi, Alessandro Fryer, Chris Herwig, Falk Incollingo, Chiara Lawson, Thomas Limongi, Marco Rauscher, Thomas Schönbächler, Maria Sieverding, Andre Trappitsch, Reto Lugaro, Maria Solar and Stellar Astrophysics Earth and Planetary Astrophysics Bulk meteorites and their inclusions exhibit, for many chemical elements, isotopic variability produced by nucleosynthetic events in stars and supernovae before the formation of the Sun. While the exact astrophysical origins of these variations are still a matter of debate, their identification provides insights on the environment of the Sun's birth and the formation of the Solar System. Here we present a new Python tool called SIMPLE (Stellar Interpretation of Meteoritic Data and Plotting for Everyone) designed to compare the isotopic composition of the ejecta from core-collapse supernovae (CCSNe) with meteoritic data. In the present version, the SIMPLE toolkit includes a dataset of 18 CCSN models, from 6 different published sets, with initial masses of 15, 20, and 25 M$_{\odot}$ and solar metallicity. SIMPLE is designed to easily extract the isotopic abundances predicted by each CCSN model for any elements and post-process them into the format needed to compare to the meteoritic data, therefore, facilitating their interpretation. As an example of how to use SIMPLE, we analyze the composition of the Ni isotopes in the 18 models and confirm that bulk meteorite Ni anomalies are compatible with material from the innermost Si-rich region of CCSN ejecta. Designed as a collaborative platform, SIMPLE is open-source and welcomes community contributions to enhance its development and dissemination for stellar nucleosynthesis and meteoritic studies. Future enhancements include addition of more model predictions and inclusion of mixing between different layers of supernova ejecta. |
| title | Stellar Interpretation of Meteoritic Data and PLotting for Everyone (SIMPLE): Isotope Mixing Lines for Six Sets of Core-Collapse Supernova Models |
| topic | Solar and Stellar Astrophysics Earth and Planetary Astrophysics |
| url | https://arxiv.org/abs/2602.04354 |