Impact of survey spatial variability on galaxy redshift distributions and the cosmological 3 × 2-point statistics for the Rubin Legacy Survey of Space and Time (LSST)

Hang, Qianjun; Joachimi, Benjamin; Charles, Eric; Crenshaw, John Franklin; Larsen, Patricia; Malz, Alex I.; Schmidt, Sam; Yan, Ziang; Zhang, Tianqing; Leistedt, Boris; Rau, Markus; Bianco, Federica; Burchat, Pat; Hearin, Andrew; Kovacs, Eve; Lahav, Ofer; Mandelbaum, Rachel; Nicola, Andrina; Yoachim, Peter

doi:10.1093/mnras/stae2519

Impact of survey spatial variability on galaxy redshift distributions and the cosmological 3 × 2-point statistics for the Rubin Legacy Survey of Space and Time (LSST)

Journal Article · Thu Nov 07 04:00:00 EST 2024 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/stae2519· OSTI ID:2478734

Hang, Qianjun; Joachimi, Benjamin; Charles, Eric; ; Larsen, Patricia; Malz, Alex I.; Schmidt, Sam; Yan, Ziang; Zhang, Tianqing; Leistedt, Boris; Rau, Markus; Bianco, Federica; Burchat, Pat; Hearin, Andrew; Kovacs, Eve; Lahav, Ofer; Mandelbaum, Rachel; Nicola, Andrina; Yoachim, Peter

ABSTRACT

We investigate the impact of spatial survey non-uniformity on the galaxy redshift distributions for forthcoming data releases of the Rubin Observatory Legacy Survey of Space and Time (LSST). Specifically, we construct a mock photometry data set degraded by the Rubin OpSim observing conditions, and estimate photometric redshifts of the sample using a template-fitting photo-z estimator, BPZ, and a machine learning method, FlexZBoost. We select the Gold sample, defined as $$i\lt 25.3$$ for 10 yr LSST data, with an adjusted magnitude cut for each year and divide it into five tomographic redshift bins for the weak lensing lens and source samples. We quantify the change in the number of objects, mean redshift, and width of each tomographic bin as a function of the coadd i-band depth for 1-yr (Y1), 3-yr (Y3), and 5-yr (Y5) data. In particular, Y3 and Y5 have large non-uniformity due to the rolling cadence of LSST, hence provide a worst-case scenario of the impact from non-uniformity. We find that these quantities typically increase with depth, and the variation can be $$10\!-\!40~{{\rm per\ cent}}$$ at extreme depth values. Using Y3 as an example, we propagate the variable depth effect to the weak lensing $$3\times 2$$ pt analysis, and assess the impact on cosmological parameters via a Fisher forecast. We find that galaxy clustering is most susceptible to variable depth, and non-uniformity needs to be mitigated below 3 per cent to recover unbiased cosmological constraints. There is little impact on galaxy–shear and shear–shear power spectra, given the expected LSST Y3 noise.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231; AC02-76SF00515; SC0011665

OSTI ID:: 2478734

Alternate ID(s):: OSTI ID: 2583233

Journal Information:: Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 4 Vol. 535; ISSN 0035-8711

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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