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Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data

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Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data. / Crocce, M.; Carretero, J.; Bauer, A. H.; Ross, A. J.; Sevilla-Noarbe, I.; Giannantonio, T.; Sobreira, F.; Sanchez, J.; Gaztanaga, E.; Kind, M. Carrasco; Sanchez, C.; Bonnett, C.; Benoit-Levy, A.; Brunner, R. J.; Rosell, A. Carnero; Cawthon, R.; Fosalba, P.; Hartley, W.; Kim, E. J.; Leistedt, B.; Miquel, R.; Peiris, H. V.; Percival, W. J.; Rosenfeld, R.; Rykoff, E. S.; Sanchez, E.; Abbott, T.; Abdalla, F. B.; Allam, S.; Banerji, M.; Bernstein, G. M.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Capozzi, D.; Castander, F. J.; Cunha, C. E.; D'Andrea, C. B.; Costa, L. N. da; Desai, S.; Diehl, H. T.; Eifler, T. F.; Evrard, A. E.; Neto, A. Fausti; Fernandez, E.; Finley, D. A.; Flaugher, B.; Frieman, J.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Honscheid, K.; James, D. J.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Li, T. S.; Lima, M.; Maia, M. A. G.; March, M.; Marshall, J. L.; Martini, P.; Melchior, P.; Miller, C. J.; Neilsen, E.; Nichol, R. C.; Nord, B.; Ogando, R.; Plazas, A. A.; Romer, A. K.; Sako, M.; Santiago, B.; Schubnell, M.; Smith, R. C.; Soares-Santos, M.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Thaler, J.; Thomas, D.; Vikram, V.; Walker, A. R.; Wechsler, R. H.; Weller, J.; Zuntz, J.

In: Monthly Notices of the Royal Astronomical Society, Vol. 455, No. 4, 01.02.2016, p. 4301-4324.

Research output: Contribution to journalArticle

Harvard

Crocce, M, Carretero, J, Bauer, AH, Ross, AJ, Sevilla-Noarbe, I, Giannantonio, T, Sobreira, F, Sanchez, J, Gaztanaga, E, Kind, MC, Sanchez, C, Bonnett, C, Benoit-Levy, A, Brunner, RJ, Rosell, AC, Cawthon, R, Fosalba, P, Hartley, W, Kim, EJ, Leistedt, B, Miquel, R, Peiris, HV, Percival, WJ, Rosenfeld, R, Rykoff, ES, Sanchez, E, Abbott, T, Abdalla, FB, Allam, S, Banerji, M, Bernstein, GM, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, DL, Capozzi, D, Castander, FJ, Cunha, CE, D'Andrea, CB, Costa, LND, Desai, S, Diehl, HT, Eifler, TF, Evrard, AE, Neto, AF, Fernandez, E, Finley, DA, Flaugher, B, Frieman, J, Gerdes, DW, Gruen, D, Gruendl, RA, Gutierrez, G, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Li, TS, Lima, M, Maia, MAG, March, M, Marshall, JL, Martini, P, Melchior, P, Miller, CJ, Neilsen, E, Nichol, RC, Nord, B, Ogando, R, Plazas, AA, Romer, AK, Sako, M, Santiago, B, Schubnell, M, Smith, RC, Soares-Santos, M, Suchyta, E, Swanson, MEC, Tarle, G, Thaler, J, Thomas, D, Vikram, V, Walker, AR, Wechsler, RH, Weller, J & Zuntz, J 2016, 'Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data', Monthly Notices of the Royal Astronomical Society, vol. 455, no. 4, pp. 4301-4324. https://doi.org/10.1093/mnras/stv2590

APA

Crocce, M., Carretero, J., Bauer, A. H., Ross, A. J., Sevilla-Noarbe, I., Giannantonio, T., ... Zuntz, J. (2016). Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data. Monthly Notices of the Royal Astronomical Society, 455(4), 4301-4324. https://doi.org/10.1093/mnras/stv2590

Vancouver

Crocce M, Carretero J, Bauer AH, Ross AJ, Sevilla-Noarbe I, Giannantonio T et al. Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data. Monthly Notices of the Royal Astronomical Society. 2016 Feb 1;455(4):4301-4324. https://doi.org/10.1093/mnras/stv2590

Author

Crocce, M. ; Carretero, J. ; Bauer, A. H. ; Ross, A. J. ; Sevilla-Noarbe, I. ; Giannantonio, T. ; Sobreira, F. ; Sanchez, J. ; Gaztanaga, E. ; Kind, M. Carrasco ; Sanchez, C. ; Bonnett, C. ; Benoit-Levy, A. ; Brunner, R. J. ; Rosell, A. Carnero ; Cawthon, R. ; Fosalba, P. ; Hartley, W. ; Kim, E. J. ; Leistedt, B. ; Miquel, R. ; Peiris, H. V. ; Percival, W. J. ; Rosenfeld, R. ; Rykoff, E. S. ; Sanchez, E. ; Abbott, T. ; Abdalla, F. B. ; Allam, S. ; Banerji, M. ; Bernstein, G. M. ; Bertin, E. ; Brooks, D. ; Buckley-Geer, E. ; Burke, D. L. ; Capozzi, D. ; Castander, F. J. ; Cunha, C. E. ; D'Andrea, C. B. ; Costa, L. N. da ; Desai, S. ; Diehl, H. T. ; Eifler, T. F. ; Evrard, A. E. ; Neto, A. Fausti ; Fernandez, E. ; Finley, D. A. ; Flaugher, B. ; Frieman, J. ; Gerdes, D. W. ; Gruen, D. ; Gruendl, R. A. ; Gutierrez, G. ; Honscheid, K. ; James, D. J. ; Kuehn, K. ; Kuropatkin, N. ; Lahav, O. ; Li, T. S. ; Lima, M. ; Maia, M. A. G. ; March, M. ; Marshall, J. L. ; Martini, P. ; Melchior, P. ; Miller, C. J. ; Neilsen, E. ; Nichol, R. C. ; Nord, B. ; Ogando, R. ; Plazas, A. A. ; Romer, A. K. ; Sako, M. ; Santiago, B. ; Schubnell, M. ; Smith, R. C. ; Soares-Santos, M. ; Suchyta, E. ; Swanson, M. E. C. ; Tarle, G. ; Thaler, J. ; Thomas, D. ; Vikram, V. ; Walker, A. R. ; Wechsler, R. H. ; Weller, J. ; Zuntz, J. / Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data. In: Monthly Notices of the Royal Astronomical Society. 2016 ; Vol. 455, No. 4. pp. 4301-4324.

Bibtex

@article{1164790f72eb4f1a89f16eb7d83ccd8d,
title = "Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data",
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 × 106 galaxies over a contiguous 116 deg2 region in five bins of photometric redshift width Δz = 0.2 in the range 0.2 < z < 1.2. The impact of photometric redshift errors is assessed by comparing results using a template-based photo-z algorithm (BPZ) to a machine-learning algorithm (TPZ). A companion paper 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 Λ cold dark matter model, finding agreement with the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) measurements with χ2 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 allows us to determine that the linear bias model describes the observed galaxy clustering to 2.5 per cent accuracy down to scales at least 4–10 times smaller than those on which linear theory is expected to be sufficient.",
keywords = "astro-ph.CO, photometric surveys, galaxies clustering, large-scale structure of Universe, systematic effects, RCUK, STFC",
author = "M. Crocce and J. Carretero and Bauer, {A. H.} and Ross, {A. J.} and I. Sevilla-Noarbe and T. Giannantonio and F. Sobreira and J. Sanchez and E. Gaztanaga and Kind, {M. Carrasco} and C. Sanchez and C. Bonnett and A. Benoit-Levy and Brunner, {R. J.} and Rosell, {A. Carnero} and R. Cawthon and P. Fosalba and W. Hartley and Kim, {E. J.} and B. Leistedt and R. Miquel and Peiris, {H. V.} and Percival, {W. J.} and R. Rosenfeld and Rykoff, {E. S.} and E. Sanchez and T. Abbott and Abdalla, {F. B.} and S. Allam and M. Banerji and Bernstein, {G. M.} and E. Bertin and D. Brooks and E. Buckley-Geer and Burke, {D. L.} and D. Capozzi and Castander, {F. J.} and Cunha, {C. E.} and D'Andrea, {C. B.} and Costa, {L. N. da} and S. Desai and Diehl, {H. T.} and Eifler, {T. F.} and Evrard, {A. E.} and Neto, {A. Fausti} and E. Fernandez and Finley, {D. A.} and B. Flaugher and J. Frieman and Gerdes, {D. W.} and D. Gruen and Gruendl, {R. A.} and G. Gutierrez and K. Honscheid and James, {D. J.} and K. Kuehn and N. Kuropatkin and O. Lahav and Li, {T. S.} and M. Lima and Maia, {M. A. G.} and M. March and Marshall, {J. L.} and P. Martini and P. Melchior and Miller, {C. J.} and E. Neilsen and Nichol, {R. C.} and B. Nord and R. Ogando and Plazas, {A. A.} and Romer, {A. K.} and M. Sako and B. Santiago and M. Schubnell and Smith, {R. C.} and M. Soares-Santos and E. Suchyta and Swanson, {M. E. C.} and G. Tarle and J. Thaler and D. Thomas and V. Vikram and Walker, {A. R.} and Wechsler, {R. H.} and J. Weller and J. Zuntz",
note = "23 pages, 18 figures, matches the version published in MNRAS. MNRAS 455, 4301-4324 (2015) Accepted - 01/11/2015 Published online - 09/12/2015",
year = "2016",
month = "2",
day = "1",
doi = "10.1093/mnras/stv2590",
language = "English",
volume = "455",
pages = "4301--4324",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data

AU - Crocce, M.

AU - Carretero, J.

AU - Bauer, A. H.

AU - Ross, A. J.

AU - Sevilla-Noarbe, I.

AU - Giannantonio, T.

AU - Sobreira, F.

AU - Sanchez, J.

AU - Gaztanaga, E.

AU - Kind, M. Carrasco

AU - Sanchez, C.

AU - Bonnett, C.

AU - Benoit-Levy, A.

AU - Brunner, R. J.

AU - Rosell, A. Carnero

AU - Cawthon, R.

AU - Fosalba, P.

AU - Hartley, W.

AU - Kim, E. J.

AU - Leistedt, B.

AU - Miquel, R.

AU - Peiris, H. V.

AU - Percival, W. J.

AU - Rosenfeld, R.

AU - Rykoff, E. S.

AU - Sanchez, E.

AU - Abbott, T.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Banerji, M.

AU - Bernstein, G. M.

AU - Bertin, E.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Burke, D. L.

AU - Capozzi, D.

AU - Castander, F. J.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - Costa, L. N. da

AU - Desai, S.

AU - Diehl, H. T.

AU - Eifler, T. F.

AU - Evrard, A. E.

AU - Neto, A. Fausti

AU - Fernandez, E.

AU - Finley, D. A.

AU - Flaugher, B.

AU - Frieman, J.

AU - Gerdes, D. W.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gutierrez, G.

AU - Honscheid, K.

AU - James, D. J.

AU - Kuehn, K.

AU - Kuropatkin, N.

AU - Lahav, O.

AU - Li, T. S.

AU - Lima, M.

AU - Maia, M. A. G.

AU - March, M.

AU - Marshall, J. L.

AU - Martini, P.

AU - Melchior, P.

AU - Miller, C. J.

AU - Neilsen, E.

AU - Nichol, R. C.

AU - Nord, B.

AU - Ogando, R.

AU - Plazas, A. A.

AU - Romer, A. K.

AU - Sako, M.

AU - Santiago, B.

AU - Schubnell, M.

AU - Smith, R. C.

AU - Soares-Santos, M.

AU - Suchyta, E.

AU - Swanson, M. E. C.

AU - Tarle, G.

AU - Thaler, J.

AU - Thomas, D.

AU - Vikram, V.

AU - Walker, A. R.

AU - Wechsler, R. H.

AU - Weller, J.

AU - Zuntz, J.

N1 - 23 pages, 18 figures, matches the version published in MNRAS. MNRAS 455, 4301-4324 (2015) Accepted - 01/11/2015 Published online - 09/12/2015

PY - 2016/2/1

Y1 - 2016/2/1

N2 - 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 × 106 galaxies over a contiguous 116 deg2 region in five bins of photometric redshift width Δz = 0.2 in the range 0.2 < z < 1.2. The impact of photometric redshift errors is assessed by comparing results using a template-based photo-z algorithm (BPZ) to a machine-learning algorithm (TPZ). A companion paper 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 Λ cold dark matter model, finding agreement with the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) measurements with χ2 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 allows us to determine that the linear bias model describes the observed galaxy clustering to 2.5 per cent accuracy down to scales at least 4–10 times smaller than those on which linear theory is expected to be sufficient.

AB - 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 × 106 galaxies over a contiguous 116 deg2 region in five bins of photometric redshift width Δz = 0.2 in the range 0.2 < z < 1.2. The impact of photometric redshift errors is assessed by comparing results using a template-based photo-z algorithm (BPZ) to a machine-learning algorithm (TPZ). A companion paper 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 Λ cold dark matter model, finding agreement with the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) measurements with χ2 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 allows us to determine that the linear bias model describes the observed galaxy clustering to 2.5 per cent accuracy down to scales at least 4–10 times smaller than those on which linear theory is expected to be sufficient.

KW - astro-ph.CO

KW - photometric surveys

KW - galaxies clustering

KW - large-scale structure of Universe

KW - systematic effects

KW - RCUK

KW - STFC

U2 - 10.1093/mnras/stv2590

DO - 10.1093/mnras/stv2590

M3 - Article

VL - 455

SP - 4301

EP - 4324

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 4

ER -

ID: 3282046