Photometric Supernovae Redshift Systematics Requirements [Article]
| dc.contributor.author | Linder, Eric V. | |
| dc.contributor.author | Mitra, Ayan | |
| dc.date.accessioned | 2019-07-19T04:41:17Z | |
| dc.date.available | 2019-07-19T04:41:17Z | |
| dc.date.issued | 2019-07-03 | |
| dc.description | Energetic Cosmos Laboratory. ECL Publication, 2019 | en_US |
| dc.description.abstract | Imaging surveys will find many tens to hundreds of thousands of Type Ia supernovae in the next decade, and measure their light curves. In addition to a need for characterizing their types and subtypes, a redshift is required to place them on a Hubble diagram to map the cosmological expansion. We investigate the requirements on redshift systematics control in order not to bias cosmological results, in particular dark energy parameter estimation. We find that additive and multiplicative systematics must be constrained at the few ×10^(−3) level, effectively requiring spectroscopic followup for robust use of photometric supernovae. Catastrophic outliers need control at the subpercent level. We also investigate sculpting the spectroscopic sample. | en_US |
| dc.identifier.citation | Linder, E.V.,& Mitra, A. (2019, July). Photometric Supernovae Redshift Systematics Requirements. The 2nd international conference of the Energetic Cosmos Laboratory (ECL) at Nazarbayev University. Retrieved from https://arxiv.org/pdf/1907.00985.pdf | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/4013 | |
| dc.language.iso | en | en_US |
| dc.publisher | NURIS; Energetic Cosmos Laboratory | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | The 2nd international conference of the Energetic Cosmos Laboratory (ECL) | en_US |
| dc.subject | Energetic Cosmos Laboratory (ECL) | en_US |
| dc.subject | ECL19 | en_US |
| dc.title | Photometric Supernovae Redshift Systematics Requirements [Article] | en_US |
| dc.type | Article | en_US |
| workflow.import.source | science |