Exploring the capabilities of combined modelling strategies for supernova with relativistic jets using Redback

[2608.27567] Exploring the capabilities of combined modelling strategies for supernova with relativistic jets using Redback Skip to main content Search Submit Donate Log in Astrophysics > High Energy Astrophysical Phenomena arXiv:2608.27567 (astro-ph) [Submitted on 27 Aug 2026] Title: Exploring the capabilities of combined modelling strategies for supernova with relativistic jets using Redback Authors: L. Cotter , N. Sarin , A. Martin-Carrillo View PDF HTML (experimental) Abstract: Events in which a supernova (SN) is associated with a relativistic jet present multi-component light curves. In the past, the analysis of such complex light curves was carried out largely by investigating each component individually due to limitations in modelling and inference. Such decoupled analyses are susceptible to biased parameter estimation due to cross-contamination between the emission of the relativistic jet and the SN. Additionally, differences in adopted methodologies make it difficult to compare physical parameters across populations. In this work, we investigate three common modelling strategies adopted for events where a Gamma-ray Burst (GRB) is associated with an SN and compare them with a joint model and inference approach. We assess the ability of each approach to fit and reproduce the true injection parameters of 1000 simulated GRB-SN datasets using Redback. We split these datasets into three common GRB-SN light curve morphologies: one where the SN is dominant, one where the GRB is dominant, and one where the SN and GRB have relatively equal contributions to the light curve. We also investigate the behaviour of each modelling technique when the jet break of the GRB afterglow occurs at early times and at late times. We find that treating each component independently with an individual model leads to significant bias in the estimated parameters even though the resulting best fit to the data may appear acceptable. We further demonstrate that afterglow subtraction is unreliable for GRB-SN modelling as uncertainties in the afterglow fit are not fully propagated into the resulting afterglow-subtracted light curve. Instead, our results show that jointly modelling the relativistic jet and SN components provides the most reliable modelling approach, particularly when multi-band X-ray and radio observations are available. Subjects: High Energy Astrophysical Phenomena (astro-ph.HE) Cite as: arXiv:2608.27567 [astro-ph.HE] (or arXiv:2608.27567v1 [astro-ph.HE] for this version) https://doi.org/10.48550/arXiv.2608.27567 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Laura Cotter Ms [ view email ] [v1] Thu, 27 Aug 2026 18:00:13 UTC (5,532 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Additional Features Audio Summary Current browse context: astro-ph.HE < prev | next > new | recent | 2026-08 Change to browse by: astro-ph References & Citations INSPIRE HEP SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

Related documents

• Exploring the capabilities of combined modelling strategies for supernova with relativistic jets using Redback#779502
• The Supernova Type Ia Rate Evolution with SNLS#612021
• A Tale of Two Gauges: Effective Field Theory for Relativistic Behavior of Cosmological Axions#1013211
• A Population View of the Cosmic-Ray Knee: The Role of Variance in Supernova Maximum Rigidities#617021
• A Population View of the Cosmic-Ray Knee: The Role of Variance in Supernova Maximum Rigidities#616521