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Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS

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Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS. / Jouvel, S.; Delubac, T.; Comparat, J.; Carnero, A.; Camacho, H.; Abdalla, F. B.; Kneib, J-P; Merson, A.; Lima, M.; Sobreira, F.; Costa, Luiz da; Prada, F.; Zhu, G. B.; Benoit-Levy, A.; Macora, A. De La; Kuropatkin, N.; Lin, H.; Abbott, T. M. C.; Allam, S.; Banerji, M.; Bertin, E.; Brooks, D.; Capozzi, D.; Kind, M. Carrasco; Carretero, J.; Castander, F. J.; Cunha, C. E.; Desai, S.; Doel, P.; Eifler, T. F.; Estrada, J.; Neto, A. Fausti; Flaugher, B.; Fosalba, P.; Frieman, J.; Gaztanaga, E.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Honscheid, K.; James, D. J.; Kuehn, K.; Lahav, O.; Li, T. S.; Maia, M. A. G.; March, M.; Marshall, J. L.; Miquel, R.; Percival, W. J.; Plazas, A. A.; Reil, K.; Romer, A. K.; Roodman, A.; Rykoff, E. S.; Sako, M.; Sanchez, E.; Santiago, B.; Scarpine, V.; Sevilla-Noarbe, I.; Santos, M. Soares; Suchyta, E.; Tarle, G.; Thaler, J.; Thomas, D.; Walker, A.; Zhang, Y.; Brownstein, J.

In: Monthly Notices of the Royal Astronomical Society, Vol. 469, No. 3, 08.2017, p. 2771–2790.

Research output: Contribution to journalArticle

Harvard

Jouvel, S, Delubac, T, Comparat, J, Carnero, A, Camacho, H, Abdalla, FB, Kneib, J-P, Merson, A, Lima, M, Sobreira, F, Costa, LD, Prada, F, Zhu, GB, Benoit-Levy, A, Macora, ADL, Kuropatkin, N, Lin, H, Abbott, TMC, Allam, S, Banerji, M, Bertin, E, Brooks, D, Capozzi, D, Kind, MC, Carretero, J, Castander, FJ, Cunha, CE, Desai, S, Doel, P, Eifler, TF, Estrada, J, Neto, AF, Flaugher, B, Fosalba, P, Frieman, J, Gaztanaga, E, Gerdes, DW, Gruen, D, Gruendl, RA, Gutierrez, G, Honscheid, K, James, DJ, Kuehn, K, Lahav, O, Li, TS, Maia, MAG, March, M, Marshall, JL, Miquel, R, Percival, WJ, Plazas, AA, Reil, K, Romer, AK, Roodman, A, Rykoff, ES, Sako, M, Sanchez, E, Santiago, B, Scarpine, V, Sevilla-Noarbe, I, Santos, MS, Suchyta, E, Tarle, G, Thaler, J, Thomas, D, Walker, A, Zhang, Y & Brownstein, J 2017, 'Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS', Monthly Notices of the Royal Astronomical Society, vol. 469, no. 3, pp. 2771–2790. https://doi.org/10.1093/mnras/stx163

APA

Jouvel, S., Delubac, T., Comparat, J., Carnero, A., Camacho, H., Abdalla, F. B., Kneib, J-P., Merson, A., Lima, M., Sobreira, F., Costa, L. D., Prada, F., Zhu, G. B., Benoit-Levy, A., Macora, A. D. L., Kuropatkin, N., Lin, H., Abbott, T. M. C., Allam, S., ... Brownstein, J. (2017). Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS. Monthly Notices of the Royal Astronomical Society, 469(3), 2771–2790. https://doi.org/10.1093/mnras/stx163

Vancouver

Jouvel S, Delubac T, Comparat J, Carnero A, Camacho H, Abdalla FB et al. Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS. Monthly Notices of the Royal Astronomical Society. 2017 Aug;469(3):2771–2790. https://doi.org/10.1093/mnras/stx163

Author

Jouvel, S. ; Delubac, T. ; Comparat, J. ; Carnero, A. ; Camacho, H. ; Abdalla, F. B. ; Kneib, J-P ; Merson, A. ; Lima, M. ; Sobreira, F. ; Costa, Luiz da ; Prada, F. ; Zhu, G. B. ; Benoit-Levy, A. ; Macora, A. De La ; Kuropatkin, N. ; Lin, H. ; Abbott, T. M. C. ; Allam, S. ; Banerji, M. ; Bertin, E. ; Brooks, D. ; Capozzi, D. ; Kind, M. Carrasco ; Carretero, J. ; Castander, F. J. ; Cunha, C. E. ; Desai, S. ; Doel, P. ; Eifler, T. F. ; Estrada, J. ; Neto, A. Fausti ; Flaugher, B. ; Fosalba, P. ; Frieman, J. ; Gaztanaga, E. ; Gerdes, D. W. ; Gruen, D. ; Gruendl, R. A. ; Gutierrez, G. ; Honscheid, K. ; James, D. J. ; Kuehn, K. ; Lahav, O. ; Li, T. S. ; Maia, M. A. G. ; March, M. ; Marshall, J. L. ; Miquel, R. ; Percival, W. J. ; Plazas, A. A. ; Reil, K. ; Romer, A. K. ; Roodman, A. ; Rykoff, E. S. ; Sako, M. ; Sanchez, E. ; Santiago, B. ; Scarpine, V. ; Sevilla-Noarbe, I. ; Santos, M. Soares ; Suchyta, E. ; Tarle, G. ; Thaler, J. ; Thomas, D. ; Walker, A. ; Zhang, Y. ; Brownstein, J. / Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS. In: Monthly Notices of the Royal Astronomical Society. 2017 ; Vol. 469, No. 3. pp. 2771–2790.

Bibtex

@article{b8b024aaa0e84a1faccdebea12e2d396,
title = "Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS",
abstract = "We present the results of the first test plates of the extended Baryon Oscillation Spectroscopic Survey. This paper focuses on the emission line galaxies (ELG) population targetted from the Dark Energy Survey (DES) photometry. We analyse the success rate, efficiency, redshift distribution, and clustering properties of the targets. From the 9000 spectroscopic redshifts targetted, 4600 have been selected from the DES photometry. The total success rate for redshifts between 0.6 and 1.2 is 71\% and 68\% respectively for a bright and faint, on average more distant, samples including redshifts measured from a single strong emission line. We find a mean redshift of 0.8 and 0.87, with 15 and 13\% of unknown redshifts respectively for the bright and faint samples. In the redshift range 0.6<z<1.2, for the most secure spectroscopic redshifts, the mean redshift for the bright and faint sample is 0.85 and 0.9 respectively. Star contamination is lower than 2\%. We measure a galaxy bias averaged on scales of 1 and 10~Mpc/h of 1.72 \pm 0.1 for the bright sample and of 1.78 \pm 0.12 for the faint sample. The error on the galaxy bias have been obtained propagating the errors in the correlation function to the fitted parameters. This redshift evolution for the galaxy bias is in agreement with theoretical expectations for a galaxy population with MB-5\log h < -21.0. We note that biasing is derived from the galaxy clustering relative to a model for the mass fluctuations. We investigate the quality of the DES photometric redshifts and find that the outlier fraction can be reduced using a comparison between template fitting and neural network, or using a random forest algorithm.",
keywords = "astro-ph.CO, Cosmology: observations, Surveys, target selection, DES, redshift, RCUK, STFC",
author = "S. Jouvel and T. Delubac and J. Comparat and A. Carnero and H. Camacho and Abdalla, {F. B.} and J-P Kneib and A. Merson and M. Lima and F. Sobreira and Costa, {Luiz da} and F. Prada and Zhu, {G. B.} and A. Benoit-Levy and Macora, {A. De La} and N. Kuropatkin and H. Lin and Abbott, {T. M. C.} and S. Allam and M. Banerji and E. Bertin and D. Brooks and D. Capozzi and Kind, {M. Carrasco} and J. Carretero and Castander, {F. J.} and Cunha, {C. E.} and S. Desai and P. Doel and Eifler, {T. F.} and J. Estrada and Neto, {A. Fausti} and B. Flaugher and P. Fosalba and J. Frieman and E. Gaztanaga 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 O. Lahav and Li, {T. S.} and Maia, {M. A. G.} and M. March and Marshall, {J. L.} and R. Miquel and Percival, {W. J.} and Plazas, {A. A.} and K. Reil and Romer, {A. K.} and A. Roodman and Rykoff, {E. S.} and M. Sako and E. Sanchez and B. Santiago and V. Scarpine and I. Sevilla-Noarbe and Santos, {M. Soares} and E. Suchyta and G. Tarle and J. Thaler and D. Thomas and A. Walker and Y. Zhang and J. Brownstein",
year = "2017",
month = aug,
doi = "10.1093/mnras/stx163",
language = "English",
volume = "469",
pages = "2771–2790",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS

AU - Jouvel, S.

AU - Delubac, T.

AU - Comparat, J.

AU - Carnero, A.

AU - Camacho, H.

AU - Abdalla, F. B.

AU - Kneib, J-P

AU - Merson, A.

AU - Lima, M.

AU - Sobreira, F.

AU - Costa, Luiz da

AU - Prada, F.

AU - Zhu, G. B.

AU - Benoit-Levy, A.

AU - Macora, A. De La

AU - Kuropatkin, N.

AU - Lin, H.

AU - Abbott, T. M. C.

AU - Allam, S.

AU - Banerji, M.

AU - Bertin, E.

AU - Brooks, D.

AU - Capozzi, D.

AU - Kind, M. Carrasco

AU - Carretero, J.

AU - Castander, F. J.

AU - Cunha, C. E.

AU - Desai, S.

AU - Doel, P.

AU - Eifler, T. F.

AU - Estrada, J.

AU - Neto, A. Fausti

AU - Flaugher, B.

AU - Fosalba, P.

AU - Frieman, J.

AU - Gaztanaga, E.

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 - Lahav, O.

AU - Li, T. S.

AU - Maia, M. A. G.

AU - March, M.

AU - Marshall, J. L.

AU - Miquel, R.

AU - Percival, W. J.

AU - Plazas, A. A.

AU - Reil, K.

AU - Romer, A. K.

AU - Roodman, A.

AU - Rykoff, E. S.

AU - Sako, M.

AU - Sanchez, E.

AU - Santiago, B.

AU - Scarpine, V.

AU - Sevilla-Noarbe, I.

AU - Santos, M. Soares

AU - Suchyta, E.

AU - Tarle, G.

AU - Thaler, J.

AU - Thomas, D.

AU - Walker, A.

AU - Zhang, Y.

AU - Brownstein, J.

PY - 2017/8

Y1 - 2017/8

N2 - We present the results of the first test plates of the extended Baryon Oscillation Spectroscopic Survey. This paper focuses on the emission line galaxies (ELG) population targetted from the Dark Energy Survey (DES) photometry. We analyse the success rate, efficiency, redshift distribution, and clustering properties of the targets. From the 9000 spectroscopic redshifts targetted, 4600 have been selected from the DES photometry. The total success rate for redshifts between 0.6 and 1.2 is 71\% and 68\% respectively for a bright and faint, on average more distant, samples including redshifts measured from a single strong emission line. We find a mean redshift of 0.8 and 0.87, with 15 and 13\% of unknown redshifts respectively for the bright and faint samples. In the redshift range 0.6<z<1.2, for the most secure spectroscopic redshifts, the mean redshift for the bright and faint sample is 0.85 and 0.9 respectively. Star contamination is lower than 2\%. We measure a galaxy bias averaged on scales of 1 and 10~Mpc/h of 1.72 \pm 0.1 for the bright sample and of 1.78 \pm 0.12 for the faint sample. The error on the galaxy bias have been obtained propagating the errors in the correlation function to the fitted parameters. This redshift evolution for the galaxy bias is in agreement with theoretical expectations for a galaxy population with MB-5\log h < -21.0. We note that biasing is derived from the galaxy clustering relative to a model for the mass fluctuations. We investigate the quality of the DES photometric redshifts and find that the outlier fraction can be reduced using a comparison between template fitting and neural network, or using a random forest algorithm.

AB - We present the results of the first test plates of the extended Baryon Oscillation Spectroscopic Survey. This paper focuses on the emission line galaxies (ELG) population targetted from the Dark Energy Survey (DES) photometry. We analyse the success rate, efficiency, redshift distribution, and clustering properties of the targets. From the 9000 spectroscopic redshifts targetted, 4600 have been selected from the DES photometry. The total success rate for redshifts between 0.6 and 1.2 is 71\% and 68\% respectively for a bright and faint, on average more distant, samples including redshifts measured from a single strong emission line. We find a mean redshift of 0.8 and 0.87, with 15 and 13\% of unknown redshifts respectively for the bright and faint samples. In the redshift range 0.6<z<1.2, for the most secure spectroscopic redshifts, the mean redshift for the bright and faint sample is 0.85 and 0.9 respectively. Star contamination is lower than 2\%. We measure a galaxy bias averaged on scales of 1 and 10~Mpc/h of 1.72 \pm 0.1 for the bright sample and of 1.78 \pm 0.12 for the faint sample. The error on the galaxy bias have been obtained propagating the errors in the correlation function to the fitted parameters. This redshift evolution for the galaxy bias is in agreement with theoretical expectations for a galaxy population with MB-5\log h < -21.0. We note that biasing is derived from the galaxy clustering relative to a model for the mass fluctuations. We investigate the quality of the DES photometric redshifts and find that the outlier fraction can be reduced using a comparison between template fitting and neural network, or using a random forest algorithm.

KW - astro-ph.CO

KW - Cosmology: observations

KW - Surveys

KW - target selection

KW - DES

KW - redshift

KW - RCUK

KW - STFC

U2 - 10.1093/mnras/stx163

DO - 10.1093/mnras/stx163

M3 - Article

VL - 469

SP - 2771

EP - 2790

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 3

ER -

ID: 3876457