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The Sloan Digital Sky Survey Peculiar Velocity Catalogue

Authors :
Howlett, Cullan
Said, Khaled
Lucey, John R.
Colless, Matthew
Qin, Fei
Lai, Yan
Tully, R. Brent
Davis, Tamara M.
Publication Year :
2022

Abstract

We present a new catalogue of distances and peculiar velocities (PVs) of $34,059$ early-type galaxies derived from Fundamental Plane (FP) measurements using data from the Sloan Digital Sky Survey (SDSS). This $7016\,\mathrm{deg}^{2}$ homogeneous sample comprises the largest set of peculiar velocities produced to date and extends the reach of PV surveys up to a redshift limit of $z=0.1$. Our SDSS-based FP distance measurements have a mean uncertainty of 23%. Alongside the data, we produce an ensemble of 2,048 mock galaxy catalogues that reproduce the data selection function, and are used to validate our fitting pipelines and check for systematic errors. We uncover a significant trend between group richness and mean surface brightness within the sample, which may hint at an environmental dependence within the FP or the presence of unresolved systematics, and can result in biased peculiar velocities. This is removed using multiple FP fits as function of group richness, a procedure made tractable through a new analytic derivation for the integral of a 3D Gaussian over non-trivial limits. Our catalogue is calibrated to the zero-point of the CosmicFlows-III sample with an uncertainty of $0.004$ dex (not including cosmic variance or the error within CosmicFlows-III itself), which is validated using independent cross-checks with the predicted zero-point from the 2M++ reconstruction of our local velocity field. Finally, as an example of what is possible with our new catalogue, we obtain preliminary bulk flow measurements up to a depth of $135\,h^{-1}\mathrm{Mpc}$. We find a slightly larger-than-expected bulk flow at high redshift, although this could be caused by the presence of the Shapley supercluster which lies outside the SDSS PV footprint.<br />Comment: 25 pages, 19 figures, 3 tables. Accepted for publication in MNRAS. The SDSS PV catalogue, associated data products and simulations are available on Zenodo at https://zenodo.org/record/6640513

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2201.03112
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/stac1681