| Title: |
The BTSbot-nearby Discovery of SN 2024jlf: Rapid, Autonomous Follow-up Probes Interaction in an 18.5 Mpc Type IIP Supernova |
| Authors: |
Rehemtulla, N; Jacobson-Galán, WV; Singh, A; Miller, AA; Kilpatrick, CD; Hinds, KR; Liu, C; Schulze, S; Sollerman, J; Jegou du Laz, T; Ahumada, T; Auchettl, K; Brennan, SJ; Coughlin, MW; Fremling, C; Gangopadhyay, A; Perley, DA; Prusinski, NZ; Purdum, J; Qin, YJ; Romagnoli, S; Shi, J; Wise, JL; Chen, TX; Groom, SL; Jones, DO; Kasliwal, MM; Smith, R; Sravan, N; Kulkarni, SR |
| Publisher Information: |
American Astronomical Society |
| Publication Year: |
2025 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
We present observations of the Type IIP supernova (SN) SN 2024jlf, including spectroscopy beginning just 0.7 days (∼17 hr) after first light. Rapid follow-up was enabled by the new BTSbot-nearby program, which involves autonomously triggering target-of-opportunity requests for new transients in Zwicky Transient Facility data that are coincident with nearby (D < 60 Mpc) galaxies and identified by the BTSbot machine learning model. Early photometry and nondetections shortly prior to first light show that SN 2024jlf initially brightened by >4 mag day−1, quicker than ∼90% of Type II SNe. Early spectra reveal weak flash ionization features: narrow, short-lived (1.3 < τ[days] < 1.8) emission lines of Hα, He ii, and C iv. Assuming a wind velocity of v w = 50 km s−1, these properties indicate that the red supergiant progenitor exhibited enhanced mass loss in the last year before explosion. We constrain the mass-loss rate to 1 0 − 4 < M ̇ [ M ⊙ yr − 1 ] < 1 0 − 3 by matching observations to model grids from two independent radiative hydrodynamics codes. BTSbot-nearby automation minimizes spectroscopic follow-up latency, enabling the observation of ephemeral early-time phenomena exhibited by transients. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| ISSN: |
0004-637X |
| Relation: |
https://hdl.handle.net/11343/364672 |
| Availability: |
https://hdl.handle.net/11343/364672 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; CC-BY |
| Accession Number: |
edsbas.DC3D42 |
| Database: |
BASE |