Red eminence : The intermediate-luminosity red transient AT 2022fnm
: Moran, S.; Kotak, R.; Fraser, M.; Pastorello, A.; Cai, Y.-Z.; Valerin, G.; Mattila, S.; Cappellaro, E.; Kravtsov, T.; Gutiérrez, C. P.; Elias-Rosa, N.; Reguitti, A.; Lundqvist, P.; Filippenko, A. V.; Brink, T. G.; Wang, X.-F.
Publisher: EDP Sciences
: 2024
: Astronomy and Astrophysics
: Astronomy & Astrophysics
: A161
: 688
: 0004-6361
: 1432-0746
DOI: https://doi.org/10.1051/0004-6361/202348225(external)
: http://dx.doi.org/10.1051/0004-6361/202348225(external)
: https://research.utu.fi/converis/portal/detail/Publication/457600334(external)
: https://arxiv.org/abs/2406.02816(external)
We present results from a five-month-long observing campaign of the unusual transient AT 2022fnm, which displays properties common to both luminous red novae (LRNe) and intermediate-luminosity red transients (ILRTs). Although its photometric evolution is broadly consistent with that of LRNe, no second peak is apparent in its light curve, and its spectral properties are more reminiscent of ILRTs. It has a fairly rapid rise time of 5.3 ± 1.5 d, reaching a peak absolute magnitude of −12.7 ± 0.1 (in the ATLAS o band). We find some evidence for circumstellar interaction, and a near-infrared excess becomes apparent at approximately +100 d after discovery. We attribute this to a dust echo. Finally, from an analytical diffusion toy model, we attempted to reproduce the pseudo-bolometric light curve and find that a mass of ∼4 M⊙ is needed. Overall, the characteristics of AT 2022fnm are consistent with a weak stellar eruption or an explosion reminiscent of low-energy type IIP supernovae, which is compatible with expectations for ILRTs.
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Research funded by Research Council of Finland (340613) | NASA/HST (AR-14295) | National Natural Science Foundation of China (12303054) | International Centre of Supernovae, Yunnan Key Laboratory (202302AN360001) | Academy of Finland (350458) | Marie Skłodowska-Curie and the Beatriu de Pinós (2021 BP 00168) | Ministerio de Ciencia e Innovación (PID2020-115253GA-I00) | Unidad de Excelencia María de Maeztu (CEX2020-001058-M) | PRIN 2017 (20179ZF5KS) | MICINN (PID2019-108709GB-I00) | Beijing Academy of Science and Technology (DZ:BS202002) | National Natural Science Foundation of China (12033003,11633002)