4.7 Article

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

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz2742

关键词

supernovae: general; galaxies: distances and redshifts

资金

  1. NSF
  2. Richard and Rhoda Goldman Fund
  3. TABASGO Foundation
  4. Christopher R. Redlich Fund
  5. Miller Institute for Basic Research in Science (U.C. Berkeley)
  6. National Natural Science Foundation of China (NSFC) [11673006]
  7. Guangxi Science Foundation [2016GXNSFFA380006, 2017AD22006]
  8. NASA [NNX08AR22G]
  9. National Science Foundation [AST-1238877]
  10. Alfred P. Sloan Foundation
  11. U.S. Department of Energy
  12. Japanese Monbukagakusho
  13. Max Planck Society
  14. University of Chicago
  15. Fermilab
  16. Institute for Advanced Study
  17. Japan Participation Group
  18. Johns Hopkins University
  19. Los Alamos National Laboratory
  20. Max Planck Institute for Astronomy
  21. Max Planck Institute for Astrophysics
  22. New Mexico State University
  23. University of Pittsburgh
  24. Planck Institute for Astrophysics
  25. Princeton University
  26. United States Naval Observatory
  27. University of Washington
  28. NASA [95405, NNX08AR22G] Funding Source: Federal RePORTER

向作者/读者索取更多资源

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 similar to 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 tomeasure 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.

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