Designing an optimal LSST deep drilling program for cosmology with type Ia supernovae

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dc.contributor.authorGris, Philippe
dc.contributor.authorRegnault, Nicolas
dc.contributor.authorLochner, Michelle
dc.date.accessioned2023-02-02T09:19:12Z
dc.date.available2023-02-02T09:19:12Z
dc.date.issued2023
dc.description.abstractThe Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) is forecast to collect a large sample of Type Ia supernovae (SNe Ia) expected to be instrumental in unveiling the nature of dark energy. The feat, however, requires accurately measuring the two components of the Hubble diagram, distance modulus and redshift. Distance is estimated from SN Ia parameters extracted from light-curve fits, where the average quality of light curves is primarily driven by survey parameters. An optimal observing strategy is thus critical for measuring cosmological parameters with high accuracy. We present in this paper a three-stage analysis to assess the impact of the deep drilling (DD) strategy parameters on three critical aspects of the survey: redshift completeness, the number of wellmeasured SNe Ia, and cosmological measurements. We demonstrate that the current DD survey plans (internal LSST simulations) are characterized by a low completeness (z ∼ 0.55–0.65), and irregular and low cadences (several days), which dramatically decrease the size of the well-measured SN Ia sample. We propose a method providing the number of visits required to reach higher redshifts. We use the results to design a set of optimized DD surveys for SN Ia cosmology taking full advantage of spectroscopic resources for host galaxy redshift measurements. The most accurate cosmological measurements are achieved with deep rolling surveys characterized by a high cadence (1 day), a rolling strategy (at least two seasons of observation per field), and ultradeep (z  0.8) and deep (z  0.6) fields. A deterministic scheduler including a gap recovery mechanism is critical to achieving a high-quality DD survey.en_US
dc.identifier.citationGris, P. et al. (2023). Designing an optimal LSST deep drilling program for cosmology with type Ia supernovae. Astrophysical Journal, Supplement Series, 264(1), 22. 10.3847/1538-4365/ac9e58en_US
dc.identifier.issn0067-0049
dc.identifier.uri10.3847/1538-4365/ac9e58
dc.identifier.urihttp://hdl.handle.net/10566/8329
dc.language.isoenen_US
dc.publisherAmerican Astronomical Societyen_US
dc.subjectAstronomyen_US
dc.subjectPhysicsen_US
dc.subjectCosmologyen_US
dc.subjectDark energyen_US
dc.titleDesigning an optimal LSST deep drilling program for cosmology with type Ia supernovaeen_US
dc.typeArticleen_US

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