Type Ia supernova observations combining data from the Euclid mission and the Vera C. Rubin Observatory
Type Ia supernova observations combining data from the Euclid mission and the Vera C. Rubin Observatory
复制标题
Ia 型超新星观测结合了 Euclid 任务和 Vera C. Rubin 天文台的数据
DOI:
10.1093/mnras/stad2179
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发表时间:
2023
影响因子:
4.8
通讯作者:
Bailey A
中科院分区:
文献类型:
--
作者:
Bailey A
TheEuclidmission will provide first-of-its-kind coverage in the near-infrared over deep (three fields, ∼10–20 square degrees each) and wide (∼10 000 square degrees) fields. While the survey is not designed to discover transients, the deep fields will have repeated observations over a two-week span, followed by a gap of roughly six months. In this analysis, we explore how useful the deep field observations will be for measuring properties of Type Ia supernovae (SNe Ia). Using simulations that includeEuclid’s planned depth, area, and cadence in the deep fields, we calculate that more than 3700 SNe between 0.0 << 1.5 will have at least fiveEucliddetections around peak with signal-to-noise ratio larger than 3. While on their own,Euclidlight curves are not good enough to directly constrain distances, when combined with legacy survey of space and time (LSST) deep field observations, we find that uncertainties on SN distances are reduced by 20–30 per cent for< 0.8 and by 40–50 per cent for> 0.8. Furthermore, we predict how well additionalEuclidmock data can be used to constrain a key systematic in SN Ia studies – the size of the luminosity ‘step’ found between SNe hosted in high-mass (>1010M⊙) and low-mass (<1010M⊙) galaxies. This measurement has unique information in the rest-frame near-infrared (NIR). We predict that if the step is caused by dust, we will be able to measure its reduction in the NIR compared to optical at the 4σ level. We highlight that the LSST andEuclidobserving strategies used in this work are still provisional and some level of joint processing is required. Still, these first results are promising, and assuming thatEuclidbegins observations well before theNancy Roman Space Telescope(Roman), we expect this data set to be extremely helpful for preparation forRomanitself.