SN 2020kyg and the rates of faint Iax supernovae from ATLAS
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We present multiwavelength follow-up observations of the ATLAS discovered faint Iax supernova SN 2020kyg that peaked at an absolute magnitude of M-g approximate to -14.9 +/- 0.2, making it another member of the faint Iax supernova population. The bolometric light curve requires only approximate to 7 x 10(-3) M-circle dot of radioactive Ni-56, with an ejected mass of M-ej similar to 0.4 M-circle dot and a low kinetic energy of E approximate to 0.05 +/- 0.02 x 10(51) erg. We construct a homogeneous volume-limited sample of 902 transients observed by ATLAS within 100 Mpc during a 3.5 yr span. Using this sample, we constrain the rates of faint Iax (M-r greater than or similar to -16) events within 60 Mpc at 12(-8)(+1)(4) per cent of the SN Ia rate. The overall Iax rate, at 15(-9)(+)(17) per cent of the Ia rate, is dominated by the low-luminosity events, with luminous SNe Iax (M-r less than or similar to -17.5) like 2002cx and 2005hk, accounting for only 0.9(-0.5)(+1.1) per cent of the Ia rate (a 2 sigma upper limit of approximately 3 per cent). We favour the hybrid CONe WD + He star progenitor channel involving a failed deflagration of a near Chandrasekhar mass white dwarf, expected to leave a bound remnant and a surviving secondary companion, as a candidate explanation for faint Iax explosions. This scenario requires short delay times, consistent with the observed environments of SNe Iax. Furthermore, binary population synthesis calculations have suggested rates of 1-18 per cent of the SN Ia rate for this channel, consistent with our rate estimates.
Original language | English |
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Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 511 |
Issue number | 2 |
Pages (from-to) | 2708-2731 |
Number of pages | 24 |
ISSN | 0035-8711 |
DOIs | |
Publication status | Published - 15 Feb 2022 |
- supernovae: general, supernovae: individual: SN 2020kyg, NEAR-INFRARED OBSERVATIONS, EXTREMELY LOW-LUMINOSITY, LATE-TIME SPECTROSCOPY, WHITE-DWARF, GAIA DR2, REDSHIFT, I., EVOLUTION, TRANSIENT, 2005HK
Research areas
ID: 302384675