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Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing

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Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing. / Bonnett, C.; Troxel, M. A.; Hartley, W.; Amara, A.; Leistedt, B.; Becker, M. R.; Bernstein, G. M.; Bridle, S.; Bruderer, C.; Busha, M. T.; Kind, M. Carrasco; Childress, M. J.; Castander, F. J.; Chang, C.; Crocce, M.; Davis, T. M.; Eifler, T. F.; Frieman, J.; Gangkofner, C.; Gaztanaga, E.; Glazebrook, K.; Gruen, D.; Kacprzak, T.; King, A.; Kwan, J.; Lahav, O.; Lewis, G.; Lidman, C.; Lin, H.; MacCrann, N.; Miquel, R.; O'Neill, C. R.; Palmese, A.; Peiris, H. V.; Refregier, A.; Rozo, E.; Rykoff, E. S.; Sadeh, I.; Sánchez, C.; Sheldon, E.; Uddin, S.; Wechsler, R. H.; Zuntz, J.; Abbott, T.; Abdalla, F. B.; Allam, S.; Capozzi, D.; D'Andrea, C. B.; Nichol, R. C.; Thomas, D.; Dark Energy Survey Collaboration.

In: Physical Review D, Vol. 94, 042005, 30.08.2016.

Research output: Contribution to journalArticle

Harvard

Bonnett, C, Troxel, MA, Hartley, W, Amara, A, Leistedt, B, Becker, MR, Bernstein, GM, Bridle, S, Bruderer, C, Busha, MT, Kind, MC, Childress, MJ, Castander, FJ, Chang, C, Crocce, M, Davis, TM, Eifler, TF, Frieman, J, Gangkofner, C, Gaztanaga, E, Glazebrook, K, Gruen, D, Kacprzak, T, King, A, Kwan, J, Lahav, O, Lewis, G, Lidman, C, Lin, H, MacCrann, N, Miquel, R, O'Neill, CR, Palmese, A, Peiris, HV, Refregier, A, Rozo, E, Rykoff, ES, Sadeh, I, Sánchez, C, Sheldon, E, Uddin, S, Wechsler, RH, Zuntz, J, Abbott, T, Abdalla, FB, Allam, S, Capozzi, D, D'Andrea, CB, Nichol, RC, Thomas, D & Dark Energy Survey Collaboration 2016, 'Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing', Physical Review D, vol. 94, 042005. https://doi.org/10.1103/PhysRevD.94.042005

APA

Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., ... Dark Energy Survey Collaboration (2016). Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing. Physical Review D, 94, [042005]. https://doi.org/10.1103/PhysRevD.94.042005

Vancouver

Author

Bonnett, C. ; Troxel, M. A. ; Hartley, W. ; Amara, A. ; Leistedt, B. ; Becker, M. R. ; Bernstein, G. M. ; Bridle, S. ; Bruderer, C. ; Busha, M. T. ; Kind, M. Carrasco ; Childress, M. J. ; Castander, F. J. ; Chang, C. ; Crocce, M. ; Davis, T. M. ; Eifler, T. F. ; Frieman, J. ; Gangkofner, C. ; Gaztanaga, E. ; Glazebrook, K. ; Gruen, D. ; Kacprzak, T. ; King, A. ; Kwan, J. ; Lahav, O. ; Lewis, G. ; Lidman, C. ; Lin, H. ; MacCrann, N. ; Miquel, R. ; O'Neill, C. R. ; Palmese, A. ; Peiris, H. V. ; Refregier, A. ; Rozo, E. ; Rykoff, E. S. ; Sadeh, I. ; Sánchez, C. ; Sheldon, E. ; Uddin, S. ; Wechsler, R. H. ; Zuntz, J. ; Abbott, T. ; Abdalla, F. B. ; Allam, S. ; Capozzi, D. ; D'Andrea, C. B. ; Nichol, R. C. ; Thomas, D. ; Dark Energy Survey Collaboration. / Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing. In: Physical Review D. 2016 ; Vol. 94.

Bibtex

@article{e1e0b69215324f1396c9337aed6f6ded,
title = "Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing",
abstract = "We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—annz2, bpz calibrated against BCC-Ufig simulations, skynet, and tpz—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72±0.01 over the range 0.3<z<1.3, we construct three tomographic bins with means of z={0.45,0.67,1.00}. These bins each have systematic uncertainties δz≲0.05 in the mean of the fiducial skynet photo-z n(z). We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3{\%}. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of n(z) of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis.",
keywords = "astro-ph.CO, RCUK, STFC, uploaded-in-3-months-elsewhere",
author = "C. Bonnett and Troxel, {M. A.} and W. Hartley and A. Amara and B. Leistedt and Becker, {M. R.} and Bernstein, {G. M.} and S. Bridle and C. Bruderer and Busha, {M. T.} and Kind, {M. Carrasco} and Childress, {M. J.} and Castander, {F. J.} and C. Chang and M. Crocce and Davis, {T. M.} and Eifler, {T. F.} and J. Frieman and C. Gangkofner and E. Gaztanaga and K. Glazebrook and D. Gruen and T. Kacprzak and A. King and J. Kwan and O. Lahav and G. Lewis and C. Lidman and H. Lin and N. MacCrann and R. Miquel and O'Neill, {C. R.} and A. Palmese and Peiris, {H. V.} and A. Refregier and E. Rozo and Rykoff, {E. S.} and I. Sadeh and C. S{\'a}nchez and E. Sheldon and S. Uddin and Wechsler, {R. H.} and J. Zuntz and T. Abbott and Abdalla, {F. B.} and S. Allam and D. Capozzi and D'Andrea, {C. B.} and Nichol, {R. C.} and D. Thomas and {Dark Energy Survey Collaboration}",
note = "high-resolution versions of figures can be downloaded from http://deswl.github.io",
year = "2016",
month = "8",
day = "30",
doi = "10.1103/PhysRevD.94.042005",
language = "English",
volume = "94",
journal = "Physical Review D",
issn = "1550-7998",
publisher = "American Institute of Physics Publising LLC",

}

RIS

TY - JOUR

T1 - Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing

AU - Bonnett, C.

AU - Troxel, M. A.

AU - Hartley, W.

AU - Amara, A.

AU - Leistedt, B.

AU - Becker, M. R.

AU - Bernstein, G. M.

AU - Bridle, S.

AU - Bruderer, C.

AU - Busha, M. T.

AU - Kind, M. Carrasco

AU - Childress, M. J.

AU - Castander, F. J.

AU - Chang, C.

AU - Crocce, M.

AU - Davis, T. M.

AU - Eifler, T. F.

AU - Frieman, J.

AU - Gangkofner, C.

AU - Gaztanaga, E.

AU - Glazebrook, K.

AU - Gruen, D.

AU - Kacprzak, T.

AU - King, A.

AU - Kwan, J.

AU - Lahav, O.

AU - Lewis, G.

AU - Lidman, C.

AU - Lin, H.

AU - MacCrann, N.

AU - Miquel, R.

AU - O'Neill, C. R.

AU - Palmese, A.

AU - Peiris, H. V.

AU - Refregier, A.

AU - Rozo, E.

AU - Rykoff, E. S.

AU - Sadeh, I.

AU - Sánchez, C.

AU - Sheldon, E.

AU - Uddin, S.

AU - Wechsler, R. H.

AU - Zuntz, J.

AU - Abbott, T.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Capozzi, D.

AU - D'Andrea, C. B.

AU - Nichol, R. C.

AU - Thomas, D.

AU - Dark Energy Survey Collaboration

N1 - high-resolution versions of figures can be downloaded from http://deswl.github.io

PY - 2016/8/30

Y1 - 2016/8/30

N2 - We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—annz2, bpz calibrated against BCC-Ufig simulations, skynet, and tpz—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72±0.01 over the range 0.3<z<1.3, we construct three tomographic bins with means of z={0.45,0.67,1.00}. These bins each have systematic uncertainties δz≲0.05 in the mean of the fiducial skynet photo-z n(z). We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of n(z) of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis.

AB - We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—annz2, bpz calibrated against BCC-Ufig simulations, skynet, and tpz—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72±0.01 over the range 0.3<z<1.3, we construct three tomographic bins with means of z={0.45,0.67,1.00}. These bins each have systematic uncertainties δz≲0.05 in the mean of the fiducial skynet photo-z n(z). We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of n(z) of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis.

KW - astro-ph.CO

KW - RCUK

KW - STFC

KW - uploaded-in-3-months-elsewhere

UR - http://sro.sussex.ac.uk/65674/

U2 - 10.1103/PhysRevD.94.042005

DO - 10.1103/PhysRevD.94.042005

M3 - Article

VL - 94

JO - Physical Review D

JF - Physical Review D

SN - 1550-7998

M1 - 042005

ER -

ID: 5519329