Photometric redshift analysis in the Dark Energy Survey Science Verification data

Sanchez, C.; Carrasco Kind, M.; Lin, H.; Miquel, R.; Abdalla, F. B.; Amara, A.; Banerji, M.; Bonnett, C.; Brunner, R.; Capozzi, D.; Carnero, A.; Castander, F. J.; da Costa, L. A.  N.; Cunha, C.; Fausti, A.; Gerdes, D.; Greisel, N.; Gschwend, J.; Hartley, W.; Jouvel, S.; Lahav, O.; Lima, M.; Maia, M. A.  G.; Marti, P.; Ogando, R. L.  C.; Ostrovski, F.; Pellegrini, P.; Rau, M. M.; Sadeh, I.; Seitz, S.; Sevilla-Noarbe, I.; Sypniewski, A.; de Vicente, J.; Abbot, T.; Allam, S. S.; Atlee, D.; Bernstein, G.; Bernstein, J. P.; Buckley-Geer, E.; Burke, D.; Childress, M. J.; Davis, T.; DePoy, D. L.; Dey, A.; Desai, S.; Diehl, H. T.; Doel, P.; Estrada, J.; Evrard, A.; Fernandez, E.; Finley, D.; Flaugher, B.; Frieman, J.; Gaztanaga, E.; Glazebrook, K.; Honscheid, K.; Kim, A.; Kuehn, K.; Kuropatkin, N.; Lidman, C.; Makler, M.; Marshall, J. L.; Nichol, R. C.; Roodman, A.; Sanchez, E.; Santiago, B. X.; Sako, M.; Scalzo, R.; Smith, R. C.; Swanson, M. E.  C.; Tarle, G.; Thomas, D.; Tucker, D. L.; Uddin, S. A.; Valdes, F.; Walker, A.; Yuan, F.; Zuntz, J.

doi:10.1093/mnras/stu1836

Title: Photometric redshift analysis in the Dark Energy Survey Science Verification data

Abstract

In this study, we present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq. deg. at the nominal depth of the survey. We assess the photometric redshift (photo-z) performance using about 15 000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-z's are obtained and studied using most of the existing photo-z codes. A weighting method in a multidimensional colour–magnitude space is applied to the spectroscopic sample in order to evaluate the photo-z performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. In addition, empirical photo-z methods using, for instance, artificial neural networks or random forests, yield the best performance in the tests, achieving core photo-z resolutions σ68 ~ 0.08. Moreover, the results from most of the codes, including template-fitting methods, comfortably meet the DES requirements on photo-z performance, therefore, providing an excellent precedent for future DES datamore » sets.« less

Authors:: Sanchez, C.; Carrasco Kind, M.; Lin, H.; Miquel, R.; Abdalla, F. B.; Amara, A.; Banerji, M.; Bonnett, C.; Brunner, R.; Capozzi, D.; Carnero, A.; Castander, F. J.; da Costa, L. A. N.; Cunha, C.; Fausti, A.; Gerdes, D.; Greisel, N.; Gschwend, J.; Hartley, W.; Jouvel, S. more »« less

Publication Date:: Thu Oct 09 00:00:00 EDT 2014

Research Org.:: Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

Contributing Org.:: DES Collaboration

OSTI Identifier:: 1374719

Report Number(s):: FERMILAB-PUB-14-260-AE; arXiv:1406.4407
Journal ID: ISSN 0035-8711; 1300797; TRN: US1702472

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: Monthly Notices of the Royal Astronomical Society

Additional Journal Information:: Journal Volume: 445; Journal Issue: 2; Journal ID: ISSN 0035-8711

Publisher:: Royal Astronomical Society

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Astronomical data bases: surveys; galaxies: distances and redshifts; galaxies: statistics; large-scale structure of Universe

Citation Formats


                    Sanchez, C., Carrasco Kind, M., Lin, H., Miquel, R., Abdalla, F. B., Amara, A., Banerji, M., Bonnett, C., Brunner, R., Capozzi, D., Carnero, A., Castander, F. J., da Costa, L. A.  N., Cunha, C., Fausti, A., Gerdes, D., Greisel, N., Gschwend, J., Hartley, W., Jouvel, S., Lahav, O., Lima, M., Maia, M. A.  G., Marti, P., Ogando, R. L.  C., Ostrovski, F., Pellegrini, P., Rau, M. M., Sadeh, I., Seitz, S., Sevilla-Noarbe, I., Sypniewski, A., de Vicente, J., Abbot, T., Allam, S. S., Atlee, D., Bernstein, G., Bernstein, J. P., Buckley-Geer, E., Burke, D., Childress, M. J., Davis, T., DePoy, D. L., Dey, A., Desai, S., Diehl, H. T., Doel, P., Estrada, J., Evrard, A., Fernandez, E., Finley, D., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Honscheid, K., Kim, A., Kuehn, K., Kuropatkin, N., Lidman, C., Makler, M., Marshall, J. L., Nichol, R. C., Roodman, A., Sanchez, E., Santiago, B. X., Sako, M., Scalzo, R., Smith, R. C., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Uddin, S. A., Valdes, F., Walker, A., Yuan, F., and Zuntz, J. Photometric redshift analysis in the Dark Energy Survey Science Verification data.  United States: N. p., 2014. 
Web.  doi:10.1093/mnras/stu1836.

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                    Sanchez, C., Carrasco Kind, M., Lin, H., Miquel, R., Abdalla, F. B., Amara, A., Banerji, M., Bonnett, C., Brunner, R., Capozzi, D., Carnero, A., Castander, F. J., da Costa, L. A.  N., Cunha, C., Fausti, A., Gerdes, D., Greisel, N., Gschwend, J., Hartley, W., Jouvel, S., Lahav, O., Lima, M., Maia, M. A.  G., Marti, P., Ogando, R. L.  C., Ostrovski, F., Pellegrini, P., Rau, M. M., Sadeh, I., Seitz, S., Sevilla-Noarbe, I., Sypniewski, A., de Vicente, J., Abbot, T., Allam, S. S., Atlee, D., Bernstein, G., Bernstein, J. P., Buckley-Geer, E., Burke, D., Childress, M. J., Davis, T., DePoy, D. L., Dey, A., Desai, S., Diehl, H. T., Doel, P., Estrada, J., Evrard, A., Fernandez, E., Finley, D., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Honscheid, K., Kim, A., Kuehn, K., Kuropatkin, N., Lidman, C., Makler, M., Marshall, J. L., Nichol, R. C., Roodman, A., Sanchez, E., Santiago, B. X., Sako, M., Scalzo, R., Smith, R. C., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Uddin, S. A., Valdes, F., Walker, A., Yuan, F., & Zuntz, J. Photometric redshift analysis in the Dark Energy Survey Science Verification data.  United States.  https://doi.org/10.1093/mnras/stu1836

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                    Sanchez, C., Carrasco Kind, M., Lin, H., Miquel, R., Abdalla, F. B., Amara, A., Banerji, M., Bonnett, C., Brunner, R., Capozzi, D., Carnero, A., Castander, F. J., da Costa, L. A.  N., Cunha, C., Fausti, A., Gerdes, D., Greisel, N., Gschwend, J., Hartley, W., Jouvel, S., Lahav, O., Lima, M., Maia, M. A.  G., Marti, P., Ogando, R. L.  C., Ostrovski, F., Pellegrini, P., Rau, M. M., Sadeh, I., Seitz, S., Sevilla-Noarbe, I., Sypniewski, A., de Vicente, J., Abbot, T., Allam, S. S., Atlee, D., Bernstein, G., Bernstein, J. P., Buckley-Geer, E., Burke, D., Childress, M. J., Davis, T., DePoy, D. L., Dey, A., Desai, S., Diehl, H. T., Doel, P., Estrada, J., Evrard, A., Fernandez, E., Finley, D., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Honscheid, K., Kim, A., Kuehn, K., Kuropatkin, N., Lidman, C., Makler, M., Marshall, J. L., Nichol, R. C., Roodman, A., Sanchez, E., Santiago, B. X., Sako, M., Scalzo, R., Smith, R. C., Swanson, M. E.  C., Tarle, G., Thomas, D., Tucker, D. L., Uddin, S. A., Valdes, F., Walker, A., Yuan, F., and Zuntz, J. Thu .  
"Photometric redshift analysis in the Dark Energy Survey Science Verification data".  United States.  https://doi.org/10.1093/mnras/stu1836.  https://www.osti.gov/servlets/purl/1374719.

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@article{osti_1374719,

  title        = {Photometric redshift analysis in the Dark Energy Survey Science Verification data},

  author       = {Sanchez, C. and Carrasco Kind, M. and Lin, H. and Miquel, R. and Abdalla, F. B. and Amara, A. and Banerji, M. and Bonnett, C. and Brunner, R. and Capozzi, D. and Carnero, A. and Castander, F. J. and da Costa, L. A.  N. and Cunha, C. and Fausti, A. and Gerdes, D. and Greisel, N. and Gschwend, J. and Hartley, W. and Jouvel, S. and Lahav, O. and Lima, M. and Maia, M. A.  G. and Marti, P. and Ogando, R. L.  C. and Ostrovski, F. and Pellegrini, P. and Rau, M. M. and Sadeh, I. and Seitz, S. and Sevilla-Noarbe, I. and Sypniewski, A. and de Vicente, J. and Abbot, T. and Allam, S. S. and Atlee, D. and Bernstein, G. and Bernstein, J. P. and Buckley-Geer, E. and Burke, D. and Childress, M. J. and Davis, T. and DePoy, D. L. and Dey, A. and Desai, S. and Diehl, H. T. and Doel, P. and Estrada, J. and Evrard, A. and Fernandez, E. and Finley, D. and Flaugher, B. and Frieman, J. and Gaztanaga, E. and Glazebrook, K. and Honscheid, K. and Kim, A. and Kuehn, K. and Kuropatkin, N. and Lidman, C. and Makler, M. and Marshall, J. L. and Nichol, R. C. and Roodman, A. and Sanchez, E. and Santiago, B. X. and Sako, M. and Scalzo, R. and Smith, R. C. and Swanson, M. E.  C. and Tarle, G. and Thomas, D. and Tucker, D. L. and Uddin, S. A. and Valdes, F. and Walker, A. and Yuan, F. and Zuntz, J.},

  abstractNote = {In this study, we present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq. deg. at the nominal depth of the survey. We assess the photometric redshift (photo-z) performance using about 15 000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-z's are obtained and studied using most of the existing photo-z codes. A weighting method in a multidimensional colour–magnitude space is applied to the spectroscopic sample in order to evaluate the photo-z performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. In addition, empirical photo-z methods using, for instance, artificial neural networks or random forests, yield the best performance in the tests, achieving core photo-z resolutions σ68 ~ 0.08. Moreover, the results from most of the codes, including template-fitting methods, comfortably meet the DES requirements on photo-z performance, therefore, providing an excellent precedent for future DES data sets.},

  doi          = {10.1093/mnras/stu1836},

  journal      = {Monthly Notices of the Royal Astronomical Society},

  number       = 2,

  volume       = 445,

  place        = {United States},

  year         = {Thu Oct 09 00:00:00 EDT 2014},

  month        = {Thu Oct 09 00:00:00 EDT 2014}

}

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Journal Article Matthews, Daniel J. ; Newman, Jeffrey A. - The Astrophysical Journal

Many of the cosmological tests to be performed by planned dark energy experiments will require extremely well-characterized photometric redshift measurements. Current estimates for cosmic shear are that the true mean redshift of the objects in each photo-z bin must be known to better than 0.002(1 + z), and the width of the bin must be known to ~0.003(1 + z) if errors in cosmological measurements are not to be degraded significantly. A conventional approach is to calibrate these photometric redshifts with large sets of spectroscopic redshifts. However, at the depths probed by Stage III surveys (such as DES), let alonemore »« less
https://doi.org/10.1088/0004-637x/721/1/456

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Title: Photometric redshift analysis in the Dark Energy Survey Science Verification data

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A comparison of six photometric redshift methods applied to 1.5 million luminous red galaxies: Photometric redshifts for 1.5 million LRGs journal, September 2011

Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds journal, June 1998

The hierarchical formation of the brightest cluster galaxies journal, February 2007

PHAT: PHoto- z Accuracy Testing journal, November 2010

Photometric redshifts for the CFHTLS T0004 deep and wide fields journal, April 2009

The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out to z ~ 6.7 selected with 17.5 ≤ i AB ≤ 24.75 journal, October 2013

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting journal, August 1997

Photometric Redshifts and Systematic Variations in the Spectral Energy Distributions of Luminous red Galaxies from sdss dr7 journal, April 2013

A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6 journal, February 2008

Dark matter halo properties from galaxy–galaxy lensing★ journal, May 2013

The Arizona CDFS Environment Survey (ACES): A Magellan/IMACS Spectroscopic Survey of the Chandra Deep Field-South: Arizona CDFS Environment Survey (ACES) journal, August 2012

The 2dF Galaxy Redshift Survey: spectra and redshifts journal, December 2001

Near-infrared template spectra of normal galaxies: k -corrections, galaxy models and stellar populations journal, September 2001

zCOSMOS: A Large VLT/VIMOS Redshift Survey Covering 0 < z < 3 in the COSMOS Field journal, September 2007

The Sloan Digital Sky Survey: Technical Summary journal, September 2000

Spectral evolution of stellar populations using isochrone synthesis journal, March 1993

The WiggleZ Dark Energy Survey: survey design and first data release journal, January 2010

CFHTLenS: improving the quality of photometric redshifts with precision photometry★: CFHTLenS: photometric redshifts journal, February 2012

Bayesian Photometric Redshift Estimation journal, June 2000

A blind test of photometric redshifts on ground-based data journal, January 2008

A New Strategy for Deep Wide‐Field High‐Resolution Optical Imaging journal, June 2000

Measuring the redshift evolution of clustering: the Hubble Deep Field South journal, January 2002

Estimating the redshift distribution of photometric galaxy samples - II. Applications and tests of a new method journal, July 2009

Stellar population synthesis at the resolution of 2003 journal, October 2003

A Blind Test of Photometric Redshift Prediction journal, April 1998

Photometric Redshift Error Estimators journal, December 2008

The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS journal, October 2006

EAZY: A Fast, Public Photometric Redshift Code journal, October 2008

The Baryon Oscillation Spectroscopic Survey of Sdss-Iii journal, December 2012

SExtractor: Software for source extraction journal, June 1996

The VIMOS VLT deep survey: First epoch VVDS-deep survey: 11 564 spectra with 17.5 journal, August 2005

CFHTLenS: the Canada–France–Hawaii Telescope Lensing Survey: CFHTLenS journal, October 2012

Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey journal, September 2006

Photo-z quality cuts and their effect on the measured galaxy clustering journal, December 2013

Template Ultraviolet to Near-Infrared Spectra of Star-forming Galaxies and Their Application to K-Corrections journal, August 1996

Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample journal, November 2001

Status of the Dark Energy Survey Camera (DECam) project conference, September 2012

THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE journal, September 2009

TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests journal, May 2013

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample journal, September 2002

Galaxies in the Hubble Ultra Deep Field. I. Detection, Multiband Photometry, Photometric Redshifts, and Morphology journal, July 2006

Photometric redshifts with the Multilayer Perceptron Neural Network: Application to the HDF-S and SDSS journal, August 2004

kernlab - An S4 Package for Kernel Methods in R journal, January 2004

ANN z : Estimating Photometric Redshifts Using Artificial Neural Networks journal, April 2004

Commissioning and performances of the VLT-VIMOS conference, March 2003

The Vimos VLT deep survey: Global properties of 20 000 galaxies in the journal, June 2008

Sample variance in photometric redshift calibration: cosmological biases and survey requirements: Sample variance in photo-z calibration journal, April 2012

Colors and magnitudes predicted for high redshift galaxies journal, July 1980

The Canada‐France Deep Fields Survey. III. Photometric Redshift Distribution to I AB = 24 journal, January 2006

Exhausting the information: novel Bayesian combination of photometric redshift PDFs journal, June 2014

The Dark Energy Survey Camera (DECam) journal, January 2012

The Ninth data Release of the Sloan Digital sky Survey: First Spectroscopic data from the Sdss-Iii Baryon Oscillation Spectroscopic Survey journal, November 2012

Photometric redshifts for the Dark Energy Survey and VISTA and implications for large-scale structure journal, May 2008

A Critical Assessment of Photometric Redshift Methods: a Candels Investigation journal, September 2013

The Blanco Cosmology Survey: data Acquisition, Processing, Calibration, Quality Diagnostics, and data Release journal, September 2012

ArborZ: PHOTOMETRIC REDSHIFTS USING BOOSTED DECISION TREES journal, May 2010

Estimating the redshift distribution of photometric galaxy samples journal, October 2008

LSST: a complementary probe of dark energy journal, July 2003

Circuit Depth Reduction for Gate-Model Quantum Computers journal, July 2020

The VIMOS-VLT deep survey: Evolution of the galaxy luminosity function up to journal, August 2005

The ninth data release of the sloan digital sky survey: first spectroscopic data from the sdss-iiI baryon oscillation spectroscopic survey text, January 2012

The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS text, January 2006

Sample variance in photometric redshift calibration: cosmological biases and survey requirements text, January 2012

Photometric Redshift Error Estimators text, January 2007

A blind test of photometric redshifts on ground-based data text, January 2008

Estimating the Redshift Distribution of Photometric Galaxy Samples II. Applications and Tests of a New Method text, January 2008

Photometric redshifts for the CFHTLS T0004 Deep and Wide fields text, January 2008

ArborZ: Photometric Redshifts Using Boosted Decision Trees text, January 2009

The WiggleZ Dark Energy Survey: Survey Design and First Data Release text, January 2009

PHAT: PHoto-z Accuracy Testing text, January 2010

The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release text, January 2012

The Baryon Oscillation Spectroscopic Survey of SDSS-III text, January 2012

TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests text, January 2013

Photo-z Quality Cuts and their Effect on the Measured Galaxy Clustering text, January 2013

Exhausting the Information: Novel Bayesian Combination of Photometric Redshift PDFs text, January 2014

Near-infrared template spectra of normal galaxies: k-corrections, galaxy models and stellar populations text, January 2001

Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample text, January 2001

A comparison of six photometric redshift methods applied to 1.5 million luminous red galaxies: Photometric redshifts for 1.5 million LRGs
journal, September 2011

Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds
journal, June 1998

The hierarchical formation of the brightest cluster galaxies
journal, February 2007

PHAT: PHoto- z Accuracy Testing
journal, November 2010

Photometric redshifts for the CFHTLS T0004 deep and wide fields
journal, April 2009

The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out to z ~ 6.7 selected with 17.5 ≤ i _AB ≤ 24.75
journal, October 2013

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
journal, August 1997

Photometric Redshifts and Systematic Variations in the Spectral Energy Distributions of Luminous red Galaxies from sdss dr7
journal, April 2013

A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
journal, February 2008

Dark matter halo properties from galaxy–galaxy lensing★
journal, May 2013

The Arizona CDFS Environment Survey (ACES): A Magellan/IMACS Spectroscopic Survey of the Chandra Deep Field-South: Arizona CDFS Environment Survey (ACES)
journal, August 2012

The 2dF Galaxy Redshift Survey: spectra and redshifts
journal, December 2001

Near-infrared template spectra of normal galaxies: k -corrections, galaxy models and stellar populations
journal, September 2001

zCOSMOS: A Large VLT/VIMOS Redshift Survey Covering 0 < z < 3 in the COSMOS Field
journal, September 2007

The Sloan Digital Sky Survey: Technical Summary
journal, September 2000

Spectral evolution of stellar populations using isochrone synthesis
journal, March 1993

The WiggleZ Dark Energy Survey: survey design and first data release
journal, January 2010

CFHTLenS: improving the quality of photometric redshifts with precision photometry★: CFHTLenS: photometric redshifts
journal, February 2012

Bayesian Photometric Redshift Estimation
journal, June 2000

A blind test of photometric redshifts on ground-based data
journal, January 2008

A New Strategy for Deep Wide‐Field High‐Resolution Optical Imaging
journal, June 2000

Measuring the redshift evolution of clustering: the Hubble Deep Field South
journal, January 2002

Estimating the redshift distribution of photometric galaxy samples - II. Applications and tests of a new method
journal, July 2009

Stellar population synthesis at the resolution of 2003
journal, October 2003

A Blind Test of Photometric Redshift Prediction
journal, April 1998

Photometric Redshift Error Estimators
journal, December 2008

The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS
journal, October 2006

EAZY: A Fast, Public Photometric Redshift Code
journal, October 2008

The Baryon Oscillation Spectroscopic Survey of Sdss-Iii
journal, December 2012

SExtractor: Software for source extraction
journal, June 1996

The VIMOS VLT deep survey: First epoch VVDS-deep survey: 11 564 spectra with 17.5
journal, August 2005

CFHTLenS: the Canada–France–Hawaii Telescope Lensing Survey: CFHTLenS
journal, October 2012

Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey
journal, September 2006

Photo-z quality cuts and their effect on the measured galaxy clustering
journal, December 2013

Template Ultraviolet to Near-Infrared Spectra of Star-forming Galaxies and Their Application to K-Corrections
journal, August 1996

Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
journal, November 2001

Status of the Dark Energy Survey Camera (DECam) project
conference, September 2012

THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE
journal, September 2009

TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests
journal, May 2013

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample
journal, September 2002

Galaxies in the Hubble Ultra Deep Field. I. Detection, Multiband Photometry, Photometric Redshifts, and Morphology
journal, July 2006

Photometric redshifts with the Multilayer Perceptron Neural Network: Application to the HDF-S and SDSS
journal, August 2004

kernlab - An S4 Package for Kernel Methods in R
journal, January 2004

ANN z : Estimating Photometric Redshifts Using Artificial Neural Networks
journal, April 2004

Commissioning and performances of the VLT-VIMOS
conference, March 2003

The Vimos VLT deep survey: Global properties of 20 000 galaxies in the
journal, June 2008

Sample variance in photometric redshift calibration: cosmological biases and survey requirements: Sample variance in photo-z calibration
journal, April 2012

Colors and magnitudes predicted for high redshift galaxies
journal, July 1980

The Canada‐France Deep Fields Survey. III. Photometric Redshift Distribution to I _AB = 24
journal, January 2006

Exhausting the information: novel Bayesian combination of photometric redshift PDFs
journal, June 2014

The Dark Energy Survey Camera (DECam)
journal, January 2012

The Ninth data Release of the Sloan Digital sky Survey: First Spectroscopic data from the Sdss-Iii Baryon Oscillation Spectroscopic Survey
journal, November 2012

Photometric redshifts for the Dark Energy Survey and VISTA and implications for large-scale structure
journal, May 2008

A Critical Assessment of Photometric Redshift Methods: a Candels Investigation
journal, September 2013

The Blanco Cosmology Survey: data Acquisition, Processing, Calibration, Quality Diagnostics, and data Release
journal, September 2012

ArborZ: PHOTOMETRIC REDSHIFTS USING BOOSTED DECISION TREES
journal, May 2010

Estimating the redshift distribution of photometric galaxy samples
journal, October 2008

LSST: a complementary probe of dark energy
journal, July 2003

Circuit Depth Reduction for Gate-Model Quantum Computers
journal, July 2020

The VIMOS-VLT deep survey: Evolution of the galaxy luminosity function up to
journal, August 2005

The ninth data release of the sloan digital sky survey: first spectroscopic data from the sdss-iiI baryon oscillation spectroscopic survey
text, January 2012

The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS
text, January 2006

Sample variance in photometric redshift calibration: cosmological biases and survey requirements
text, January 2012

Photometric Redshift Error Estimators
text, January 2007

A blind test of photometric redshifts on ground-based data
text, January 2008

Estimating the Redshift Distribution of Photometric Galaxy Samples II. Applications and Tests of a New Method
text, January 2008

Photometric redshifts for the CFHTLS T0004 Deep and Wide fields
text, January 2008

ArborZ: Photometric Redshifts Using Boosted Decision Trees
text, January 2009

The WiggleZ Dark Energy Survey: Survey Design and First Data Release
text, January 2009

PHAT: PHoto-z Accuracy Testing
text, January 2010

The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release
text, January 2012

The Baryon Oscillation Spectroscopic Survey of SDSS-III
text, January 2012

TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
text, January 2013

Photo-z Quality Cuts and their Effect on the Measured Galaxy Clustering
text, January 2013

Exhausting the Information: Novel Bayesian Combination of Photometric Redshift PDFs
text, January 2014

Near-infrared template spectra of normal galaxies: k-corrections, galaxy models and stellar populations
text, January 2001

Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
text, January 2001

Measuring the Redshift Evolution of Clustering: the Hubble Deep Field South
text, January 2001

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample
text, January 2002

LSST: a Complementary Probe of Dark Energy
text, January 2002