The ASAS-SN Bright Supernova Catalog -- V. 2018-2020
Autor: | K D Neumann, T W-S Holoien, C S Kochanek, K Z Stanek, P J Vallely, B J Shappee, J L Prieto, T Pessi, T Jayasinghe, J Brimacombe, D Bersier, E Aydi, C Basinger, J F Beacom, S Bose, J S Brown, P Chen, A Clocchiatti, D D Desai, Subo Dong, E Falco, S Holmbo, N Morrell, J V Shields, K V Sokolovsky, J Strader, M D Stritzinger, S Swihart, T A Thompson, Z Way, L Aslan, D W Bishop, G Bock, J Bradshaw, P Cacella, N Castro-Morales, E Conseil, R Cornect, I Cruz, R G Farfan, J M Fernandez, A Gabuya, J-L Gonzalez-Carballo, M R Kendurkar, S Kiyota, R A Koff, G Krannich, P Marples, G Masi, L A G Monard, J A Muñoz, B Nicholls, R S Post, Z Pujic, G Stone, L Tomasella, D L Trappett, W S Wiethoff |
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Rok vydání: | 2022 |
Předmět: | |
DOI: | 10.48550/arxiv.2210.06492 |
Popis: | We catalog the 443 bright supernovae discovered by the All-Sky Automated Survey for Supernovae (ASAS-SN) in $2018-2020$ along with the 519 supernovae recovered by ASAS-SN and 516 additional $m_{peak}\leq18$ mag supernovae missed by ASAS-SN. Our statistical analysis focuses primarily on the 984 supernovae discovered or recovered in ASAS-SN $g$-band observations. The complete sample of 2427 ASAS-SN supernovae includes earlier $V$-band samples and unrecovered supernovae. For each supernova, we identify the host galaxy, its UV to mid-IR photometry, and the offset of the supernova from the center of the host. Updated light curves, redshifts, classifications, and host galaxy identifications supersede earlier results. With the increase of the limiting magnitude to $g\leq18$ mag, the ASAS-SN sample is roughly complete up to $m_{peak}=16.7$ mag and is $90\%$ complete for $m_{peak}\leq17.0$ mag. This is an increase from the $V$-band sample where it was roughly complete up to $m_{peak}=16.2$ mag and $70\%$ complete for $m_{peak}\leq17.0$ mag. Comment: 14 pages, 7 figures, 4 tables. Updated to reflect changes made in the published version. Tables containing the catalog data presented in this submission are included in machine-readable format as ancillary files |
Databáze: | OpenAIRE |
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