Details

Autor(en) / Beteiligte

• Stahl, Benjamin E
• Zheng, WeiKang
• de Jaeger, Thomas
• Filippenko, Alexei V
• Bigley, Andrew
• Blanchard, Kyle
• Blanchard, Peter K
• Brink, Thomas G
• Cargill, Samantha K
• Casper, Chadwick
• Channa, Sanyum
• Choi, Byung Yun
• Choksi, Nick
• Chu, Jason
• Clubb, Kelsey I
• Cohen, Daniel P
• Ellison, Michael
• Falcon, Edward
• Fazeli, Pegah
• Fuller, Kiera
• Ganeshalingam, Mohan
• Gates, Elinor L
• Gould, Carolina
• Halevi, Goni
• Hayakawa, Kevin T
• Hestenes, Julia
• Jeffers, Benjamin T
• Joubert, Niels
• Kandrashoff, Michael T
• Kim, Minkyu
• Kim, Haejung
• Kislak, Michelle E
• Kleiser, Io
• Kong, Jason J
• de Kouchkovsky, Maxime
• Krishnan, Daniel
• Kumar, Sahana
• Leja, Joel
• Leonard, Erin J
• Li, Gary Z
• Li, Weidong
• Lu, Philip
• Mason, Michelle N
• Molloy, Jeffrey
• Pina, Kenia
• Rex, Jacob
• Ross, Timothy W
• Stegman, Samantha
• Tang, Kevin
• Thrasher, Patrick
• Wang, Xianggao
• Wilkins, Andrew
• Yuk, Heechan
• Yunus, Sameen
• Zhang, Keto

Titel

Lick Observatory Supernova Search follow-up program: photometry data release of 93 Type Ia supernovae

Ist Teil von

• Monthly notices of the Royal Astronomical Society, 2019-12, Vol.490 (3), p.3882-3907

Ort / Verlag

United States: Royal Astronomical Society

Erscheinungsjahr

2019

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• ABSTRACT We present BVRI and unfiltered light curves of 93 Type Ia supernovae (SNe Ia) from the Lick Observatory Supernova Search (LOSS) follow-up program conducted between 2005 and 2018. Our sample consists of 78 spectroscopically normal SNe Ia, with the remainder divided between distinct subclasses (3 SN 1991bg-like, 3 SN 1991T-like, 4 SNe Iax, 2 peculiar, and 3 super-Chandrasekhar events), and has a median redshift of 0.0192. The SNe in our sample have a median coverage of 16 photometric epochs at a cadence of 5.4 d, and the median first observed epoch is ∼4.6 d before maximum B-band light. We describe how the SNe in our sample are discovered, observed, and processed, and we compare the results from our newly developed automated photometry pipeline to those from the previous processing pipeline used by LOSS. After investigating potential biases, we derive a final systematic uncertainty of 0.03 mag in BVRI for our data set. We perform an analysis of our light curves with particular focus on using template fitting to measure the parameters that are useful in standardizing SNe Ia as distance indicators. All of the data are available to the community, and we encourage future studies to incorporate our light curves in their analyses.