2021
DOI: 10.1093/mnras/stab1446
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Peculiar-velocity cosmology with Types Ia and II supernovae

Abstract: We present the Democratic Samples of Supernovae (DSS), a compilation of 775 low-redshift Type Ia and II supernovae (SNe Ia & II), of which 137 SN Ia distances are derived via the newly developed snapshot distance method. Using the objects in the DSS as tracers of the peculiar-velocity field, we compare against the corresponding reconstruction from the 2M++ galaxy redshift survey. Our analysis — which takes special care to properly weight each DSS subcatalogue and cross-calibrate the relative distance scale… Show more

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Cited by 29 publications
(23 citation statements)
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“…As discussed by Scolnic et al (2019), the constraining power of large samples of SNe Ia extends beyond inferences of H 0 and w/Ω M . Large compilations of low-z SNe Ia enable precision measurements of the local growth-of-structure, typically parameterized by f σ 8 (e.g., Huterer et al 2017;Stahl et al 2021). Work is ongoing for this measurement using the Pantheon+ sample (Boruah et al, in prep.…”
Section: Discussionmentioning
confidence: 99%
“…As discussed by Scolnic et al (2019), the constraining power of large samples of SNe Ia extends beyond inferences of H 0 and w/Ω M . Large compilations of low-z SNe Ia enable precision measurements of the local growth-of-structure, typically parameterized by f σ 8 (e.g., Huterer et al 2017;Stahl et al 2021). Work is ongoing for this measurement using the Pantheon+ sample (Boruah et al, in prep.…”
Section: Discussionmentioning
confidence: 99%
“…These are described in Ref. [1836] and include measurements of σ 8 from peculiar velocities at low-z [1837] and from the impact of lensing at high-z [1838] and further measurements of H 0 from lensed SNe Ia [1839].…”
Section: Supernova Cosmologymentioning
confidence: 99%
“…(2.13), as well as the use of different types of cosmological data. Those from the Pantheon+ dataset [15], the SnIa compilation on [103], or from SnIa and from Sn of type II [104], should help to constrain further the parameters of the tilted model.…”
Section: Discussionmentioning
confidence: 99%