On the amount of peculiar velocity field information in supernovae from LSST and beyond

Abstract

Peculiar velocities introduce correlations between supernova magnitudes, which implies that the supernova Hubble diagram residual carries information on both the matter power spectrum at the present time and its growth rate. By a combination of brute-force exact computations of likelihoods and Fisher matrix analysis, we investigate how this information, which comes from supernova data only, depends on different survey parameters such as covered area, depth, and duration. We show that, for a survey like The Rubin Observatory Legacy Survey of Space and Time (LSST) and a fixed redshift depth, the same observing time provides the same cosmological information whether one observes a larger area, or a smaller area during more years. We also show that although the peculiar velocity information is peaked in the range $z\in [0,0.2]$, there is yet plenty of information in $z\in [0.2,0.5]$, and for very high supernova number densities there is even more information in the latter range. We conclude that, after 5 years, LSST could measure ${\sigma }_8$ with an uncertainty of 0.17 with the current strategy, and that this could be improved to 0.09 if the supernova completeness is improved to 20%. Moreover, we forecast results considering the extra parameter $\gamma$, and show that this creates a non-linear degeneracy with ${\sigma }_8$ that makes the Fisher matrix analysis inadequate. Finally, we discuss the possibility of achieving competitive results with the current Zwicky Transient Facility.

arXiv commentv3: revised eq. (13); slightly improved forecasts; references added; accepted for publication in Phys. Dark Univ.; 19 pages, 18 figures. v2: included more optimistic LSST forecasts and extended main results to higher z; included discussion of appropriate kmin; extended discussion; references added

References in corpus (42)

• Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
• Measurements of Omega and Lambda from 42 High-Redshift Supernovae
• Efficient Computation of CMB anisotropies in closed FRW models
• The Complete Light-curve Sample of Spectroscopically Confirmed Type Ia Supernovae from Pan-STARRS1 and Cosmological Constraints from The Combined Pantheon Sample
• Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
• The Dark Energy Survey: more than dark energy - an overview
• Karhunen-Loeve eigenvalue problems in cosmology: how should we tackle large data sets?
• Supernova Constraints and Systematic Uncertainties from the First 3 Years of the Supernova Legacy Survey
• The Zwicky Transient Facility: Science Objectives
• Probing Dark Energy with Baryonic Acoustic Oscillations from Future Large Galaxy Redshift Surveys
• The Absolute Luminosities of the Calan/Tololo Type Ia Supernovae
• Primordial Nucleosynthesis: from precision cosmology to fundamental physics
• Measuring cosmological parameters with galaxy surveys
• The 1% Concordance Hubble Constant
• Cosmological Constraints from Measurements of Type Ia Supernovae discovered during the first 1.5 years of the Pan-STARRS1 Survey
• SNANA: A Public Software Package for Supernova Analysis
• Weighing the Giants IV: Cosmology and Neutrino Mass
• Correlated Fluctuations in Luminosity Distance and the (Surprising) Importance of Peculiar Motion in Supernova Surveys
• The Data Release of the Sloan Digital Sky Survey-II Supernova Survey
• Photometric Supernova Classification With Machine Learning
• Type Ia Supernova Rate Measurements to Redshift 2.5 from CANDELS : Searching for Prompt Explosions in the Early Universe
• Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
• The effect of peculiar velocities on supernova cosmology
• Supernova rates from the SUDARE VST-Omegacam search. I
• Measurements of the Rate of Type Ia Supernovae at Redshift z < ~0.3 from the SDSS-II Supernova Survey
• Cosmological Constraints from Type Ia Supernovae Peculiar Velocity Measurements
• Cosmic Bulk Flow and the Local Motion from Cosmicflows-2
• Cosmological Forecasts for Combined and Next Generation Peculiar Velocity Surveys
• Breaking the spell of Gaussianity: forecasting with higher order Fisher matrices
• Scientific Synergy Between LSST and Euclid
• Skewness as a test of the equivalence principle
• Measuring the growth rate of structure with Type IA Supernovae from LSST
• Measuring the Properties of Dark Energy with Photometrically Classified Pan-STARRS Supernovae. I. Systematic Uncertainty from Core-Collapse Supernova Contamination
• The Effect of Weak Lensing on Distance Estimates from Supernovae
• Internal Robustness: systematic search for systematic bias in SN Ia data
• Prospects for galaxy-mass relations from the 6dF Galaxy Survey
• Robustness to systematics for future dark energy probes
• Constraining the halo mass function with observations
• First measurement of ${\sigma }_8$ using supernova magnitudes only
• Turning noise into signal: learning from the scatter in the Hubble diagram
• Interpreting the CMB aberration and Doppler measurements: boost or intrinsic dipole?
• Measuring weak lensing correlations of Type Ia Supernovae

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• Joint Curvature and Growth Rate measurements with Supernova Peculiar Velocities and the CMB
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