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Title: Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Authors:
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Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE Office of Science (SC)
OSTI Identifier:
1346697
DOE Contract Number:
AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: Physical Review D; Journal Volume: 94; Journal Issue: 4
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., Bernstein, G. M., Bridle, S. L., Bruderer, C., Busha, M. T., Carrasco Kind, M., 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., Armstrong, R., Banerji, M., Bauer, A. H., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Fausti Neto, A., Fernandez, E., Flaugher, B., Fosalba, P., Gerdes, D. W., Gruendl, R. A., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., 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., Reil, K., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Santiago, B., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Vikram, V., and Walker, A. R. Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing. United States: N. p., 2016. Web. doi:10.1103/PhysRevD.94.042005.
Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., Bernstein, G. M., Bridle, S. L., Bruderer, C., Busha, M. T., Carrasco Kind, M., 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., Armstrong, R., Banerji, M., Bauer, A. H., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Fausti Neto, A., Fernandez, E., Flaugher, B., Fosalba, P., Gerdes, D. W., Gruendl, R. A., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., 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., Reil, K., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Santiago, B., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Vikram, V., & Walker, A. R. Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing. United States. doi:10.1103/PhysRevD.94.042005.
Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., Bernstein, G. M., Bridle, S. L., Bruderer, C., Busha, M. T., Carrasco Kind, M., 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., Armstrong, R., Banerji, M., Bauer, A. H., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., DePoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Fausti Neto, A., Fernandez, E., Flaugher, B., Fosalba, P., Gerdes, D. W., Gruendl, R. A., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., 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., Reil, K., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Santiago, B., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Vikram, V., and Walker, A. R. 2016. "Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing". United States. doi:10.1103/PhysRevD.94.042005.
@article{osti_1346697,
title = {Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing},
author = {Bonnett, C. and Troxel, M. A. and Hartley, W. and Amara, A. and Leistedt, B. and Becker, M. R. and Bernstein, G. M. and Bridle, S. L. and Bruderer, C. and Busha, M. T. and Carrasco Kind, M. and Childress, M. J. and Castander, F. J. and Chang, C. and Crocce, M. and Davis, T. M. and Eifler, T. F. and Frieman, J. and Gangkofner, C. and Gaztanaga, E. and Glazebrook, K. and Gruen, D. and Kacprzak, T. and King, A. and Kwan, J. and Lahav, O. and Lewis, G. and Lidman, C. and Lin, H. and MacCrann, N. and Miquel, R. and O’Neill, C. R. and Palmese, A. and Peiris, H. V. and Refregier, A. and Rozo, E. and Rykoff, E. S. and Sadeh, I. and Sánchez, C. and Sheldon, E. and Uddin, S. and Wechsler, R. H. and Zuntz, J. and Abbott, T. and Abdalla, F. B. and Allam, S. and Armstrong, R. and Banerji, M. and Bauer, A. H. and Benoit-Lévy, A. and Bertin, E. and Brooks, D. and Buckley-Geer, E. and Burke, D. L. and Capozzi, D. and Carnero Rosell, A. and Carretero, J. and Cunha, C. E. and D’Andrea, C. B. and da Costa, L. N. and DePoy, D. L. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Doel, P. and Fausti Neto, A. and Fernandez, E. and Flaugher, B. and Fosalba, P. and Gerdes, D. W. and Gruendl, R. A. and Honscheid, K. and Jain, B. and James, D. J. and Jarvis, M. and Kim, A. G. and Kuehn, K. and Kuropatkin, N. and Li, T. S. and Lima, M. and Maia, M. A. G. and March, M. and Marshall, J. L. and Martini, P. and Melchior, P. and Miller, C. J. and Neilsen, E. and Nichol, R. C. and Nord, B. and Ogando, R. and Plazas, A. A. and Reil, K. and Romer, A. K. and Roodman, A. and Sako, M. and Sanchez, E. and Santiago, B. and Smith, R. C. and Soares-Santos, M. and Sobreira, F. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Thaler, J. and Thomas, D. and Vikram, V. and Walker, A. R.},
abstractNote = {},
doi = {10.1103/PhysRevD.94.042005},
journal = {Physical Review D},
number = 4,
volume = 94,
place = {United States},
year = 2016,
month = 8
}
  • 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-U fig simulations, skynet, and tpz { are analysed. For training, calibration, and testing of these methods, we also construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evalu-ated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-zs. From the galaxies in the DES SVmore » 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; 0.67,1.00g}. These bins each have systematic uncertainties δ z ≲ 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 σ 8 of approx. 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalog. We also found that further study of the potential impact of systematic differences on the critical surface density, Σ crit, contained 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.« less
  • Here 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 meanmore » redshift 0.72±0.01 over the range 0.38 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, Σ crit, finding levels of bias safely less than the statistical power of DES SV data. In conclusion, 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.« less
  • We describe the derivation and validation of redshift distribution estimates and their uncertainties for the galaxies used as weak lensing sources in the Dark Energy Survey (DES) Year 1 cosmological analyses. The Bayesian Photometric Redshift (BPZ) code is used to assign galaxies to four redshift bins between z=0.2 and 1.3, and to produce initial estimates of the lensing-weighted redshift distributionsmore » $$n^i_{PZ}(z)$$ for bin i. Accurate determination of cosmological parameters depends critically on knowledge of $n^i$ but is insensitive to bin assignments or redshift errors for individual galaxies. The cosmological analyses allow for shifts $$n^i(z)=n^i_{PZ}(z-\Delta z^i)$$ to correct the mean redshift of $n^i(z)$ for biases in $$n^i_{\rm PZ}$$. The $$\Delta z^i$$ are constrained by comparison of independently estimated 30-band photometric redshifts of galaxies in the COSMOS field to BPZ estimates made from the DES griz fluxes, for a sample matched in fluxes, pre-seeing size, and lensing weight to the DES weak-lensing sources. In companion papers, the $$\Delta z^i$$ are further constrained by the angular clustering of the source galaxies around red galaxies with secure photometric redshifts at 0.15« less
  • We present the calibration of the Dark Energy Survey Year 1 (DES Y1) weak lensing source galaxy redshift distributions from clustering measurements. By cross-correlating the positions of source galaxies with luminous red galaxies selected by the redMaGiC algorithm we measure the redshift distributions of the source galaxies as placed into different tomographic bins. These measurements constrain any such shifts to an accuracy ofmore » $$\sim0.02$$ and can be computed even when the clustering measurements do not span the full redshift range. The highest-redshift source bin is not constrained by the clustering measurements because of the minimal redshift overlap with the redMaGiC galaxies. We compare our constraints with those obtained from $$\texttt{COSMOS}$$ 30-band photometry and find that our two very different methods produce consistent constraints.« less