Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey

Zhou, Rongpu; Cooper, Michael C.; Newman, Jeffrey A.; Aird, James; Conselice, Christopher J.; Davis, Marc; Dutton, Aaron A.; Faber, S. M.; Fang, Jerome J.; Fazio, G. G.; Guhathakurta, Puragra; Kocevski, Dale D.; Koo, David C.; Nandra, K.; Phillips, Andrew C.; Rosario, D. J.; Schlafly, Edward F.; Trump, Jonathan R.; Weiner, Benjamin J.; Willmer, Christopher N. A.; Yan, Renbin

doi:10.1093/mnras/stz1866

Cited by 17 publications

(15 citation statements)

References 28 publications

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“…With these improved methods and enlarged samples from future surveys, fully photometric HOD modeling will be a powerful tool for studying the galaxy-halo connection with future imaging surveys such as LSST. (Cooper et al 2012;Zhou et al 2019). The method for computing the DR8 photo-z's is the same as described in section 3; as a result the photo-z performance in DR8 South is very similar to the DR7 photoz's used in this paper.…”

Section: Discussionmentioning

confidence: 87%

The clustering of DESI-like luminous red galaxies using photometric redshifts

Zhou

Newman

Mao

et al. 2020

Monthly Notices of the Royal Astronomical Society

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126

128

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We present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging dataset, and use the halo occupation distribution (HOD) framework to fit the clustering signal. The photometric LRG sample in this study contains 2.7 million objects over the redshift range of 0.4 < z < 0.9 over 5655 sq. degrees. We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with σNMAD = 0.02 precision for LRGs. We compute the projected correlation function using new methods that maximize signal-to-noise while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a 5-parameter HOD model fit using the MultiDark halo catalog, we find that there is little evolution in HOD parameters except at the highest-redshifts. The inferred large-scale structure bias is largely consistent with constant clustering amplitude over time. In an appendix, we explore limitations of MCMC fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogs, and present a new technique for finding best-fit parameters in this situation. Accompanying this paper we have released the PRLS (Photometric Redshifts for the Legacy Surveys) catalog of photo-z’s obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 dataset. This catalog provides accurate photometric redshifts for objects with z < 21 over more than 16,000 square degrees of sky.

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Section: Discussionmentioning

confidence: 87%

The clustering of DESI-like luminous red galaxies using photometric redshifts

Zhou

Newman

Mao

et al. 2020

Monthly Notices of the Royal Astronomical Society

Self Cite

126

128

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“…The second data set is a combination of DEEP2 (Newman et al 2013) and DEEP3 spectroscopic redshifts and Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) (Hudelot et al 2012) photometry in ugriz bands; this combined data set is described in Zhou et al (2019). The depth of the CFHTLS-Deep imaging is comparable to that of the LSST 10-year stack and the DEEP2 and DEEP3 spectroscopy is complete to R AB = 24.1 over the redshift range of 0 < z 1.4.…”

Section: Galaxy Number-density Data Setsmentioning

confidence: 99%

Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

Kovacs¹,

Mao²,

Aguena³

et al. 2022

TheOJA

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Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic catalogs are being used for many diverse purposes covering a wide range of scientific topics. In order to be useful, they must offer realistically complex information about the galaxies they contain. Hence, it is critical to implement a rigorous validation procedure that ensures that the simulated galaxy properties faithfully capture observations and delivers an assessment of the level of realism attained by the catalog. We present here a suite of validation tests that have been developed by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). We discuss how the inclusion of each test is driven by the scientific targets for static ground-based dark energy science and by the availability of suitable validation data. The validation criteria that are used to assess the performance of a catalog are flexible and depend

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“…Table B1 lists the redshift surveys used as training samples in each region. In addition to the redshift catalogs used for training the DR7 photo-z's (described in §3.2), in the BASS/MzLS region we can also utilize redshifts from the DEEP3 Galaxy Redshift Survey (Cooper et al 2012;Zhou et al 2019). The method for computing the DR8 photo-z's is the same as described in section 3; as a result the photo-z performance in DR8 South is very similar to the DR7 photoz's used in this paper.…”

Section: Appendix B: Photometric Redshifts For Legacy Surveys Data Re...mentioning

confidence: 99%

The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts

Zhou,

Newman,

Mao

et al. 2020

Preprint

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We present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging dataset, and use the halo occupation distribution (HOD) framework to fit the clustering signal. The LRG sample contains 2.7 million objects over the redshift range of 0.4 < z < 0.9 over 5655 sq. degrees. We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with σ NMAD = 0.02 precision for LRGs. We compute the projected correlation function using new methods that maximize signal-to-noise while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a 5-parameter HOD model fit using the MultiDark halo catalog, we find that there is little evolution in HOD parameters except at the highest-redshifts. The inferred large-scale structure bias is largely consistent with constant clustering amplitude over time. In an appendix, we explore limitations of MCMC fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogs, and present a new technique for finding best-fit parameters in this situation. Accompanying this paper we have released the PRLS (Photometric Redshifts for the Legacy Surveys) catalog of photo-z's obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 dataset. This catalog provides accurate photometric redshifts for objects with z < 21 over more than 16,000 square degrees of sky.

show abstract

Deep ugrizY imaging and DEEP2/3 spectroscopy: a photometric redshift testbed for LSST and public release of data from the DEEP3 Galaxy Redshift Survey

Cited by 17 publications

References 28 publications

The clustering of DESI-like luminous red galaxies using photometric redshifts

The clustering of DESI-like luminous red galaxies using photometric redshifts

Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts

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