Pith. sign in

REVIEW 1 cited by

Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1507.05360 v2 pith:BT5O6D3P submitted 2015-07-20 astro-ph.CO

M. Crocce , J. Carretero , A. H. Bauer , A. J. Ross , I. Sevilla-Noarbe , T. Giannantonio , F. Sobreira , J. Sanchez
show 79 more authors
E. Gaztanaga M. Carrasco Kind C. Sanchez C. Bonnett A. Benoit-Levy R. J. Brunner A. Carnero Rosell R. Cawthon P. Fosalba W. Hartley E. J. Kim B. Leistedt R. Miquel H. V. Peiris W.J. Percival R. Rosenfeld E. S. Rykoff E. Sanchez T. Abbott F. B. Abdalla S. Allam M. Banerji G. M. Bernstein E. Bertin D. Brooks E. Buckley-Geer D. L. Burke D. Capozzi F. J. Castander C. E. Cunha C. B. D'Andrea L. N. da Costa S. Desai H. T. Diehl T. F. Eifler A. E. Evrard A. Fausti Neto E. Fernandez D. A. Finley B. Flaugher J. Frieman D. W. Gerdes D. Gruen R. A. Gruendl G. Gutierrez K. Honscheid D. J. James K. Kuehn N. Kuropatkin O. Lahav T. S. Li M. Lima M. A. G. Maia M. March J. L. Marshall P. Martini P. Melchior C. J. Miller E. Neilsen R. C. Nichol B. Nord R. Ogando A. A. Plazas A. K. Romer M. Sako B. Santiago M. Schubnell R. C. Smith M. Soares-Santos E. Suchyta M. E. C. Swanson G. Tarle J. Thaler D. Thomas V. Vikram A. R. Walker R. H. Wechsler J. Weller J. Zuntz
This is my paper · ORCID
classification astro-ph.CO
keywords clusteringgalaxylinearbiasmodelphotometricalgorithmdata
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

We study the clustering of galaxies detected at $i<22.5$ in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured using $2.3\times 10^6$ galaxies over a contiguous 116 deg$^2$ region in five bins of photometric redshift width $\Delta z = 0.2$ in the range $0.2 < z < 1.2.$ The impact of photometric redshift errors are assessed by comparing results using a template-based photo-$z$ algorithm (BPZ) to a machine-learning algorithm (TPZ). A companion paper (Leistedt et al 2015) presents maps of several observational variables (e.g. seeing, sky brightness) which could modulate the galaxy density. Here we characterize and mitigate systematic errors on the measured clustering which arise from these observational variables, in addition to others such as Galactic dust and stellar contamination. After correcting for systematic effects we measure galaxy bias over a broad range of linear scales relative to mass clustering predicted from the Planck $\Lambda$CDM model, finding agreement with CFHTLS measurements with $\chi^2$ of 4.0 (8.7) with 5 degrees of freedom for the TPZ (BPZ) redshifts. We test a "linear bias" model, in which the galaxy clustering is a fixed multiple of the predicted non-linear dark-matter clustering. The precision of the data allow us to determine that the linear bias model describes the observed galaxy clustering to $2.5\%$ accuracy down to scales at least $4$ to $10$ times smaller than those on which linear theory is expected to be sufficient.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Mitigating Imaging Systematics for DESI 2024 Emission Line Galaxies and Beyond

    astro-ph.CO 2024-11 conditional novelty 6.0 of 10

    Imaging systematics corrections for DESI DR1 ELGs agree across methods; BAO is robust, and a 3D selection function is required for the 0.6<z<0.8 extension.

Pith tools