XRF 241001A/SN 2024aiiq: A Faint Soft X-ray Transient Detected by SVOM with a Broad-Line Type Ic Supernova Revealed by JWST
B. Schneider, M. Brunet, B. P. Gompertz, D. Turpin, D. B. Malesani, O. Godet, A. J. Levan, F. Daigne, N. Sarin, N. A. Rakotondrainibe, A. Martin-Carrillo, J. T. Palmerio, C. C. Th\"one, H. L. Li, A. Saccardi, A. de Ugarte Postigo, S. Antier, V. Buat, D. \v{D}urov\v{c}\'ikov\'a

TL;DR
This paper reports the detection and analysis of a soft, low-luminosity X-ray transient, XRF 241001A, associated with a broad-line Type Ic supernova, demonstrating the capabilities of SVOM and JWST in studying such events.
Contribution
It presents the first detailed multi-wavelength observations of a faint X-ray transient linked to a Type Ic supernova, highlighting its connection to the long GRB population.
Findings
XRF 241001A is a low-energy, soft X-ray transient at z=0.573.
The associated supernova is a broad-line Type Ic similar to SN 1998bw.
The event supports the idea that some XRFs are low-energy tails of long GRBs.
Abstract
X-ray flashes (XRFs) are a type of gamma-ray bursts (GRBs) with prompt emission predominantly below 30 keV poorly detected by previous missions. The advent of the SVOM mission, with its wide-field instrument ECLAIRs, provides a new way to detect soft X-ray transients such as XRFs. We present photometric and spectroscopic observations of XRF 241001A detected by SVOM, a soft, sub-luminous, and low-energetic burst located in a poorly populated region of the Amati relation. We investigate the origin of its faint, soft high-energy emission to assess its connection to the long GRB population. We analyze the SVOM/ECLAIRs prompt emission and model its afterglow emission from X-ray to-radio. We present JWST/NIRSpec and SVOM/VT observations of the associated supernova (SN 2024aiiq), which we model with an Arnett radioactive decay component and compare its properties with previously detected…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
