Spectroscopic needs for imaging dark energy experiments

Nonlinear Dimensionality Reduction by Locally Linear Embedding

Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965 · see citing works

THE BARYON OSCILLATION SPECTROSCOPIC SURVEY OF SDSS-III

Dawson, K. S., Schlegel, D. J., Ahn, C. P., Anderson, S. F., Aubourg, É., Bailey, S., Barkhouser, R. H., Bautista, J., Beifiori, A., Berlind, A. A., et al. (2012) · The Astronomical Journal · doi:10.1088/0004-6256/145/1/10 · Cited by 2,018 · see citing works

Euclid Definition Study Report

Laureijs, R., Amiaux, J., Arduini, S., Auguères, J., Brinchmann, J., Cole, R., Cropper, M., Dabin, C., Duvet, L., Ealet, A., et al. (2011) · CERN Document Server (European Organization for Nuclear Research) · doi:10.48550/arxiv.1110.3193 · Cited by 1,767 · see citing works

Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey

Ilbert, O., Arnouts, S., McCracken, H. J., Bolzonella, M., Bertin, E., Fèvre, O. C. L., Mellier, Y., Zamorani, G., Pelló, R., Iovino, A., et al. (2006) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20065138 · Cited by 1,683 · see citing works

<i>K</i> -Corrections and Filter Transformations in the Ultraviolet, Optical, and Near-Infrared

Blanton, M. R., & Roweis, S. (2007) · The Astronomical Journal · doi:10.1086/510127 · Cited by 1,579 · see citing works

THE NINTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST SPECTROSCOPIC DATA FROM THE SDSS-III BARYON OSCILLATION SPECTROSCOPIC SURVEY

Ahn, C. P., Alexandroff, R., Prieto, C. A., Anderson, S. F., Anderton, T., Andrews, B. H., Aubourg, É., Bailey, S., Balbinot, E., Barnes, R., et al. (2012) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/203/2/21 · Cited by 1,452 · see citing works

Observational probes of cosmic acceleration

Weinberg, D. H., Mortonson, M. J., Eisenstein, D. J., Hirata, C. M., Riess, A. G., & Rozo, E. (2013) · Physics Reports · doi:10.1016/j.physrep.2013.05.001 · Cited by 1,393 · see citing works

The Baryon Oscillation Spectroscopic Survey of SDSS-III

Verde, L., Miralda Escudé, J., Cuesta, A. J., & Pérez-Ràfols, I. (2012) · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · Cited by 1,201 · see citing works

Galaxy and Mass Assembly (GAMA): survey diagnostics and core data release

Driver, S. P., Hill, D. T., Kelvin, L. S., Robotham, A. S. G., Liske, J., Norberg, P., Baldry, I. K., Bamford, S. P., Hopkins, A., Loveday, J., et al. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2010.18188.x · Cited by 1,081 · see citing works

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

Lilly, S. J., Fèvre, O. C. L., Renzini, A., Zamorani, G., Scodeggio, M., Contini, T., Carollo, C. M., Hasinger, G., Kneib, J., Iovino, A., et al. (2007) · The Astrophysical Journal Supplement Series · doi:10.1086/516589 · Cited by 991 · see citing works

Bayesian Photometric Redshift Estimation

Benı́tez, N. (1998) · The Astrophysical Journal · doi:10.1086/308947 · Cited by 974 · see citing works

Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 ReportPreprint

Spergel, D. N., Gehrels, N. A., Baltay, C., Bennett, D. P., Breckinridge, J. B., Donahue, M. E., Dressler, A. M., Gaudi, B. S., Greene, T. P., Guyon, O., et al. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1503.03757 · Cited by 942 · see citing works

LSST Science Book, Version 2.0Preprint

LSST Dark Energy Science Collaboration, Abell, P., Allison, J., Anderson, S. F., Andrew, J., Angel, J. R. P., Armus, L., Arnett, D., Asztalos, S. J., Axelrod, T. S., et al. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0912.0201 · Cited by 905 · see citing works

GALAXY CLUSTERING IN THE COMPLETED SDSS REDSHIFT SURVEY: THE DEPENDENCE ON COLOR AND LUMINOSITY

Zehavi, I., Zheng, Z., Weinberg, D. H., Blanton, M. R., Bahcall, N. A., Berlind, A. A., Brinkmann, J., Frieman, J. A., Gunn, J. E., Lupton, R. H., et al. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/736/1/59 · Cited by 793 · see citing works

THE DEEP2 GALAXY REDSHIFT SURVEY: DESIGN, OBSERVATIONS, DATA REDUCTION, AND REDSHIFTS

Newman, J. A., Cooper, M. C., Davis, M., Faber, S. M., Coil, A. L., Guhathakurta, P., Koo, D. C., Phillips, A. C., Conroy, C., Dutton, A. A., et al. (2013) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/208/1/5 · Cited by 740 · see citing works

Extragalactic science, cosmology, and Galactic archaeology with the Subaru Prime Focus Spectrograph

Takada, M., Ellis, R. S., Chiba, M., Greene, J. E., Aihara, H., Arimoto, N., Bundy, K., Cohen, J., Doré, O., Graves, G., et al. (2014) · Publications of the Astronomical Society of Japan · doi:10.1093/pasj/pst019 · Cited by 707 · see citing works

THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE

Lilly, S. J., Brun, V. L., Maier, C., Mainieri, V., Mignoli, M., Scodeggio, M., Zamorani, G., Carollo, C. M., Contini, T., Kneib, J., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/184/2/218 · Cited by 620 · see citing works

ANNz: Estimating Photometric Redshifts Using Artificial Neural Networks

Collister, A. A., & Lahav, O. (2004) · Publications of the Astronomical Society of the Pacific · doi:10.1086/383254 · Cited by 498 · see citing works

Systematic errors in future weak-lensing surveys: requirements and prospects for self-calibration

Huterer, D., Takada, M., Bernstein, G., & Jain, B. (2006) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09782.x · Cited by 409 · see citing works

The VIMOS VLT Deep Survey - First epoch VVDS-Deep survey: 11564 spectra with 17.5<=IAB<=24, and the redshift distribution over 0< z <=5

Fèvre, O. C. L., Vettolani, G., Garilli, B., Tresse, L., Bottini, D., Brun, V. L., Maccagni, D., Picat, J. P., Scaramella, R., Scodeggio, M., et al. (2005) · HAL · doi:10.1051/0004-6361:20041960 · Cited by 393 · see citing works

Contribution to the Theory of Sampling Human Populations

Neyman, J. (1938) · Journal of the American Statistical Association · doi:10.1080/01621459.1938.10503378 · Cited by 371 · see citing works

A CRITICAL ASSESSMENT OF PHOTOMETRIC REDSHIFT METHODS: A CANDELS INVESTIGATION

Dahlen, T., Mobasher, B., Faber, S. M., Ferguson, H. C., Barro, G., Finkelstein, S. L., Finlator, K., Fontana, A., Gruetzbauch, R., Johnson, S., et al. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/775/2/93 · Cited by 364 · see citing works

The VIMOS Public Extragalactic Redshift Survey (VIPERS)

Guzzo, L., Scodeggio, M., Garilli, B., Granett, B. R., Fritz, A., Abbas, U., Adami, C., Arnouts, S., Bel, J., Bolzonella, M., et al. (2014) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201321489 · Cited by 348 · see citing works

THE PRISM MULTI-OBJECT SURVEY (PRIMUS). I. SURVEY OVERVIEW AND CHARACTERISTICS

Coil, A. L., Blanton, M. R., Burles, S. M., Cool, R. J., Eisenstein, D. J., Moustakas, J., Wong, K. C., Zhu, G., Aird, J., Bernstein, R. A., et al. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/741/1/8 · Cited by 342 · see citing works

Calibrating Redshift Distributions beyond Spectroscopic Limits with Cross‐Correlations

Newman, J. A. (2008) · The Astrophysical Journal · doi:10.1086/589982 · Cited by 285 · see citing works

Effects of Photometric Redshift Uncertainties on Weak‐Lensing Tomography

Ma, Z., Hu, W., & Huterer, D. (2005) · The Astrophysical Journal · doi:10.1086/497068 · Cited by 277 · see citing works

ANNz: estimating photometric redshifts using artificial neural networksPreprint

Collister, A., & Lahav, O. (2003) · doi:10.48550/arxiv.astro-ph/0311058 · Cited by 275 · see citing works

TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests

Kind, M. C., & Brunner, R. J. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt574 · Cited by 273 · see citing works

PHAT: PHoto-zAccuracy Testing

Hildebrandt, H., Arnouts, S., Capak, P. L., Moustakas, L. A., Wolf, C., Abdalla, F. B., Assef, R. J., Banerji, M., Benítez, N., Brammer, G. B., et al. (2010) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201014885 · Cited by 270 · see citing works

Spectral Classification of Quasars in the Sloan Digital Sky Survey: Eigenspectra, Redshift, and Luminosity Effects

Yip, C.-W., Connolly, A. J., Berk, D. E. V., Ma, Z., Frieman, J. A., SubbaRao, M. U., Szalay, A. S., Richards, G. T., Hall, P. B., Schneider, D. P., et al. (2004) · The Astronomical Journal · doi:10.1086/425626 · Cited by 268 · see citing works

The Gemini Deep Deep Survey. I. Introduction to the Survey, Catalogs, and Composite Spectra

Abraham, R. G., Glazebrook, K., McCarthy, P. J., Crampton, D., Murowinski, R. G., Jørgensen, I., Roth, K. C., Hook, I., Savaglio, S., Chen, H., et al. (2004) · The Astronomical Journal · doi:10.1086/383557 · Cited by 259 · see citing works

Estimating the redshift distribution of photometric galaxy samples – II. Applications and tests of a new method

Lima, M., Cunha, C., Oyaizu, H., Frieman, J., Lin, H., & Sheldon, E. (2008) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.13510.x · Cited by 256 · see citing works

The DEEP2 Galaxy Redshift Survey: the relationship between galaxy properties and environment at z 1

Cooper, M. C., Newman, J. A., Croton, D., Weiner, B. J., Willmer, C. N. A., Gerke, B. F., Madgwick, D. S., Faber, S. M., Davis, M., Coil, A. L., et al. (2006) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2006.10485.x · Cited by 253 · see citing works

The DEEP2 Galaxy Redshift Survey: Color and Luminosity Dependence of Galaxy Clustering at \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape $z\sim 1$ \end{document}

Coil, A. L., Newman, J. A., Croton, D., Cooper, M. C., Davis, M., Faber, S. M., Gerke, B. F., Koo, D. C., Padmanabhan, N., Wechsler, R. H., et al. (2008) · The Astrophysical Journal · doi:10.1086/523639 · Cited by 241 · see citing works

A Critical Assessment Of Photometric Redshift Methods: A CANDELS Investigation

Wilson, G. (2016) · Texas ScholarWorks (Texas Digital Library) · doi:10.15781/t2kz5w · Cited by 194 · see citing works

Evolution and Color Dependence of the Galaxy Angular Correlation Function: 350,000 Galaxies in 5 Square Degrees

Coil, A. L., Newman, J. A., Kaiser, N., Davis, M., Ma, C., Kocevski, D. D., & Koo, D. C. (2004) · The Astrophysical Journal · doi:10.1086/425676 · Cited by 175 · see citing works

Bayesian Methods in Cosmology

(2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511802461 · Cited by 167 · see citing works

MEASURING BARYON ACOUSTIC OSCILLATIONS ALONG THE LINE OF SIGHT WITH PHOTOMETRIC REDSHIFTS: THE PAU SURVEY

Benítez, N., GAZTAÑAGA, E., Miquel, R., Castander, F. J., Moles, M., Crocce, M., Fernández-Soto, A., Fosalba, P., Ballesteros, F., Campa, J., et al. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/691/1/241 · Cited by 163 · see citing works

Wide-Field InfraRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA Final ReportPreprint

Spergel, D., Gehrels, N., Breckinridge, J., Donahue, M., Dressler, A., Gaudi, B., Greene, T., Guyon, O., Hirata, C., Kalirai, J., et al. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1305.5422 · Cited by 163 · see citing works

The Vimos VLT deep survey

Garilli, B., Fèvre, O. C. L., Guzzo, L., Maccagni, D., Brun, V. L., de la Torre, S., Meneux, B., Tresse, L., Franzetti, P., Zamorani, G., et al. (2008) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20078878 · Cited by 156 · see citing works

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

Cunha, C. E., Lima, M., Oyaizu, H., Frieman, J. A., & Lin, H. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.14908.x · Cited by 150 · see citing works

PHOTOMETRIC TYPE Ia SUPERNOVA CANDIDATES FROM THE THREE-YEAR SDSS-II SN SURVEY DATA

Sako, M., Bassett, B. A., Connolly, B., Dilday, B., Cambell, H., Frieman, J. A., Gladney, L., Kessler, R., Lampeitl, H., Marriner, J. P., et al. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/738/2/162 · Cited by 147 · see citing works

Precision photometric redshift calibration for galaxy–galaxy weak lensing

Mandelbaum, R., Seljak, U., Hirata, C. M., Bardelli, S., Bolzonella, M., Bongiorno, A., Carollo, C. M., Contini, T., Cunha, C. E., Garilli, B., et al. (2008) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.12947.x · Cited by 144 · see citing works

The VIRMOS deep imaging survey

Fèvre, O. C. L., Mellier, Y., McCracken, H. J., Foucaud, S., Gwyn, S., Radovich, M., Dantel-Fort, M., Bertin, E., Moreau, C., Cuillandre, J., et al. (2004) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20031767 · Cited by 124 · see citing works

On using angular cross-correlations to determine source redshift distributions

McQuinn, M., & White, M. J. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt914 · Cited by 122 · see citing works

Catastrophic photometric redshift errors: weak-lensing survey requirements

Bernstein, G. M., & Dragan Huterer, A. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.15748.x · Cited by 121 · see citing works

Evolution and Color-Dependence of the Galaxy Angular Correlation Function: 350,000 Galaxies in 5 Square Degrees

Coil, A. L., Newman, J. A., Kaiser, N., Davis, M., Ma, C. P., & Kocevski, D. D. (2004) · CERN Document Server (European Organization for Nuclear Research) · Cited by 116 · see citing works

A comparison of six photometric redshift methods applied to 1.5 million luminous red galaxies

Abdalla, F. B., Banerji, M., Lahav, O., & Rashkov, V. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2011.19375.x · Cited by 110 · see citing works

Estimating the Redshift Distribution of Photometric Galaxy Samples II. Applications and Tests of a New MethodPreprint

Cunha, C. E., Lima, M., Oyaizu, H., Frieman, J. A., & Lin, H. (2009) · Cited by 105 · see citing works

Clustering-based redshift estimation: method and application to dataPreprint

Ménard, B., Scranton, R., Schmidt, S. J., Morrison, C., Jeong, D., Budavári, T., & Rahman, M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1303.4722 · Cited by 93 · see citing works

Using Galaxy Two‐Point Correlation Functions to Determine the Redshift Distributions of Galaxies Binned by Photometric Redshift

Schneider, M., Knox, L., Zhan, H., & Connolly, A. J. (2006) · The Astrophysical Journal · doi:10.1086/507675 · Cited by 93 · see citing works

The Vimos VLT Deep Survey: Global properties of 20000 galaxies in the I_AB<=22.5 WIDE survey

Garilli, B., Fèvre, O. C. L., Guzzo, L., Maccagni, D., Brun, V. L., de la Torre, S., Meneux, B., Tresse, L., Franzetti, P., Zamorani, G., et al. (2008) · HAL · Cited by 87 · see citing works

RECONSTRUCTING REDSHIFT DISTRIBUTIONS WITH CROSS-CORRELATIONS: TESTS AND AN OPTIMIZED RECIPE

Matthews, D. J., & Newman, J. A. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/721/1/456 · Cited by 85 · see citing works

The VIRMOS deep imaging survey: I. overview and survey strategyPreprint

Fèvre, O. C. L., Mellier, Y., McCracken, H. J., Foucaud, S., Gwyn, S., Radovich, M., Dantel-Fort, M., Bertin, E., Moreau, C., Cuillandre, J., et al. (2003) · arXiv (Cornell University) · doi:10.48550/arxiv.astro-ph/0306252 · Cited by 85 · see citing works

Systematic effects on dark energy from 3D weak shear

Kitching, T., Taylor, A. N., & Heavens, A. (2008) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.13419.x · Cited by 79 · see citing works

General requirements on matter power spectrum predictions for cosmology with weak lensing tomography

Hearin, A. P., Zentner, A. R., & Ma, Z. (2012) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2012/04/034 · Cited by 75 · see citing works

A GENERAL STUDY OF THE INFLUENCE OF CATASTROPHIC PHOTOMETRIC REDSHIFT ERRORS ON COSMOLOGY WITH COSMIC SHEAR TOMOGRAPHY

Hearin, A. P., Zentner, A. R., Ma, Z., & Dragan Huterer, A. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/720/2/1351 · Cited by 73 · see citing works

Measuring the Cosmic Equation of State with Counts of Galaxies. II. Error Budget for the DEEP2 Redshift Survey

Newman, J. A., & Davis, M. (2002) · The Astrophysical Journal · doi:10.1086/324148 · Cited by 72 · see citing works

REDUCING THE DIMENSIONALITY OF DATA: LOCALLY LINEAR EMBEDDING OF SLOAN GALAXY SPECTRA

Vanderplas, J., & Connolly, A. J. (2009) · The Astronomical Journal · doi:10.1088/0004-6256/138/5/1365 · Cited by 63 · see citing works

Photometric Redshift Error Estimators

Oyaizu, H., Lima, M., Cunha, C. E., Lin, H., & Frieman, J. A. (2008) · The Astrophysical Journal · doi:10.1086/592591 · Cited by 62 · see citing works

Cosmic tomographies: baryon acoustic oscillations and weak lensing

Zhan, H. (2006) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2006/08/008 · Cited by 60 · see citing works

PHOTOMETRIC ESTIMATES OF REDSHIFTS AND DISTANCE MODULI FOR TYPE Ia SUPERNOVAE

Kessler, R., Cinabro, D., Bassett, B. A., Dilday, B., Frieman, J. A., Garnavich, P., Jha, S. W., Marriner, J. P., Nichol, R. C., Sako, M., et al. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/717/1/40 · Cited by 54 · see citing works

Systematic effects on dark energy from 3D weak shearPreprint

Kitching, T., Taylor, A. N., & Heavens, A. F. (2008) · Cited by 51 · see citing works

Baryon Oscillations and Consistency Tests for Photometrically Determined Redshifts of Very Faint Galaxies

Zhan, H., & Knox, L. (2006) · The Astrophysical Journal · doi:10.1086/503622 · Cited by 50 · see citing works

WFIRST-2.4: What Every Astronomer Should KnowPreprint

Spergel, D. N., Gehrels, N. A., Breckinridge, J. B., Donahue, M. E., Dressler, A. M., Gaudi, B. S., Greene, T. P., Guyon, O., Hirata, C. M., Kalirai, J., et al. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1305.5425 · Cited by 49 · see citing works

Using Galaxy Two-point Correlation Functions to Determine the Redshift Distributions of Galaxies Binned by Photometric Redshift

Schneider, M., Knox, L., Zhan, H., & Connolly, A. J. (2006) · CERN Document Server (European Organization for Nuclear Research) · Cited by 49 · see citing works

Sample variance in photometric redshift calibration: cosmological biases and survey requirements

Cunha, C. E., Dragan Huterer, A., Busha, M. T., & Wechsler, R. H. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.20927.x · Cited by 48 · see citing works

Investigating emission-line galaxy surveys with the Sloan Digital Sky Survey infrastructure

Comparat, J., Kneib, J., Escoffier, S., Zoubian, J., Ealet, A., Lamareille, F., Mostek, N. J., Steele, O., Aubourg, É., Bailey, S., et al. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sts127 · Cited by 48 · see citing works

Designing Future Dark Energy Space Mission: I. Building Realistic Galaxy Spectro-Photometric Catalogs and their first applicationsPreprint

Jouvel, S., Kneib, J., Ilbert, O., Bernstein, G. M., Arnouts, S., Dahlén, T., Ealet, A., Milliard, B., Aussel, H., Capak, P. L., et al. (2009) · arXiv (Cornell University) · doi:10.1051/0004-6361/200911798 · Cited by 46 · see citing works

Photo-z performance for precision cosmology

Bordoloi, R., Lilly, S. J., & Amara, A. (2010) · reroDoc Digital Library · doi:10.3929/ethz-b-000157596 · Cited by 44 · see citing works

Size of Spectroscopic Calibration Samples for Cosmic Shear Photometric Redshifts

Ma, Z., & Bernstein, G. (2008) · The Astrophysical Journal · doi:10.1086/588214 · Cited by 43 · see citing works

Cosmic tomographies: baryon acoustic oscillations and weak lensingPreprint

Zhan, H. (2006) · Cited by 42 · see citing works

A UNIFIED FRAMEWORK FOR PHOTOMETRIC REDSHIFTS

Budavári, T. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/695/1/747 · Cited by 39 · see citing works

Spectroscopic failures in photometric redshift calibration: cosmological biases and survey requirements

Cunha, C. E., Dragan Huterer, A., Lin, H., Busha, M. T., & Wechsler, R. H. (2014) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu1424 · Cited by 39 · see citing works

Baryon Oscillations and Consistency Tests for Photometrically-Determined Redshifts of Very Faint Galaxies

Zhan, H., & Knox, L. (2005) · CERN Document Server (European Organization for Nuclear Research) · Cited by 33 · see citing works

Redshift-independent Distances to Type Ia Supernovae

Barris, B. J., & Tonry, J. L. (2004) · The Astrophysical Journal · doi:10.1086/424871 · Cited by 30 · see citing works

A reliable cluster detection technique using photometric redshifts: introducing the 2TecX algorithm

van Breukelen, C., & Clewley, L. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.14692.x · Cited by 30 · see citing works

Size of spectroscopic calibration samples for cosmic shear photometric redshiftsPreprint

Bernstein, G. M., & Ma, Z. (2012) · Cited by 30 · see citing works

COSMOLOGY WITH PHOTOMETRIC SURVEYS OF TYPE Ia SUPERNOVAE

Gong, Y., Cooray, A. R., & Chen, X. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/709/2/1420 · Cited by 27 · see citing works

A new method to improve photometric redshift reconstruction

Górecki, A., Abate, A., Ansari, R., Barrau, A., Baumont, S., Moniez, M., & Ricol, J. S. (2013) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201321102 · Cited by 27 · see citing works

A Model-independent Photometric Redshift Estimator for Type Ia Supernovae

Wang, Y. (2006) · The Astrophysical Journal · doi:10.1086/511008 · Cited by 24 · see citing works

CHARACTERIZING AND PROPAGATING MODELING UNCERTAINTIES IN PHOTOMETRICALLY DERIVED REDSHIFT DISTRIBUTIONS

Abrahamse, A., Knox, L., Schmidt, S., Thorman, P., Tyson, J. A., & Zhan, H. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/734/1/36 · Cited by 24 · see citing works

USING CROSS CORRELATIONS TO CALIBRATE LENSING SOURCE REDSHIFT DISTRIBUTIONS: IMPROVING COSMOLOGICAL CONSTRAINTS FROM UPCOMING WEAK LENSING SURVEYS

de Putter, R., Doré, O., & Das, S. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/780/2/185 · Cited by 23 · see citing works

The BigBOSS Experiment

Schelgel, D., Abdalla, F. B., Abraham, T., Ahn, C. P., Prieto, C. A., Annis, J. T., Aubourg, É., Azzaro, M., Bailey, S., Baltay, C., et al. (2011) · doi:10.2172/1027233 · Cited by 22 · see citing works

Sparse representation of photometric redshift probability density functions: preparing for petascale astronomy

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Survey requirements for accurate and precise photometric redshifts for Type Ia supernovae

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UTILIZING TYPE Ia SUPERNOVAE IN A LARGE, FAST, IMAGING SURVEY TO CONSTRAIN DARK ENERGY

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A CLIPPING METHOD TO MITIGATE THE IMPACT OF CATASTROPHIC PHOTOMETRIC REDSHIFT ERRORS ON WEAK LENSING TOMOGRAPHY

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Testing the origin of the CMB large-angle correlation deficit with a galaxy imaging survey

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Spectropolarimetry of Wolf-Rayet Stars in the Magellanic Clouds: Constraining the Progenitors of Gamma-ray BurstsPreprint

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LOWER BOUNDS ON PHOTOMETRIC REDSHIFT ERRORS FROM TYPE Ia SUPERNOVA TEMPLATES

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Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

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KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing

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Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

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Weak Lensing for Precision Cosmology

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MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS

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ANNz2: Photometric Redshift and Probability Distribution Function Estimation using Machine Learning

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KiDS-450: The tomographic weak lensing power spectrum and constraints on cosmological parameters

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KiDS-1000 catalogue: Redshift distributions and their calibration

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Growth of cosmic structure: Probing dark energy beyond expansion

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Cluster mass calibration at high redshift: HST weak lensing analysis of 13 distant galaxy clusters from the South Pole Telescope Sunyaev–Zel'dovich Survey

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Photometric Redshifts for Next-Generation Surveys

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Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization

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Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

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Photometric redshifts for the Kilo-Degree Survey

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Scientific Synergy between LSST and Euclid

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the-wizz: clustering redshift estimation for everyone

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METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts

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Reconstructing large-scale structure with neutral hydrogen surveys

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CFHTLenS and RCSLenS: testing photometric redshift distributions using angular cross-correlations with spectroscopic galaxy surveys

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Selection biases in empirical p(z) methods for weak lensing

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2dFLenS and KiDS: determining source redshift distributions with cross-correlations

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Optimized Photometric Redshifts for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS)

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The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

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The synthetic Emission Line COSMOS catalogue: Hα and [O ii] galaxy luminosity functions and counts at 0.3 < z < 2.5

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Calibrating photometric redshifts with intensity mapping observations

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The MUSEHubbleUltra Deep Field Survey

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Photometric Redshift Calibration Requirements for WFIRST Weak-lensing Cosmology: Predictions from CANDELS

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Weak lensing tomographic redshift distribution inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue

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Clustering-based redshift estimation: application to VIPERS/CFHTLS

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Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

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A new method to assign galaxy cluster membership using photometric redshifts

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Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks

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Photo-z outlier self-calibration in weak lensing surveys

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Photometric Redshifts with the LSST. II. The Impact of Near-infrared and Near-ultraviolet Photometry

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Integrated lithium niobate photonics for sub-ångström snapshot spectroscopy

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Galaxy–Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets

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Testing the accuracy of clustering redshifts with simulations

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Euclidpreparation

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Potential scientific synergies in weak lensing studies between the CSST andEuclidspace probes

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The PAU survey: measurement of narrow-band galaxy properties with approximate bayesian computation

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Exploring photometric redshifts as an optimization problem: an ensemble MCMC and simulated annealing-driven template-fitting approach

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Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows

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A joint analysis for cosmology and photometric redshift calibration using cross-correlations

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Deriving photometric redshifts using fuzzy archetypes and self-organizing maps – II. Implementation

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Photometric Objects around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. I. Methods

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A composite likelihood approach for inference under photometric redshift uncertainty

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Estimating redshift distributions using hierarchical logistic Gaussian processes

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Measuring the scale dependence of intrinsic alignments using multiple shear estimates

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Galaxy blending effects in deep imaging cosmic shear probes of cosmology

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The impact of cosmic variance on simulating weak lensing surveys

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Exploiting cross correlations and joint analyses

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Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

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The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning

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Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z

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The 2-degree Field Lensing Survey: photometric redshifts from a large new training sample tor < 19.5

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Estimation of Photometric Redshifts. II. Identification of Out-of-distribution Data with Neural Networks

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Improved weak lensing photometric redshift calibration via StratLearn and hierarchical modelling

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Optimizing galaxy samples for clustering measurements in photometric surveys

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hayate : photometric redshift estimation by hybridizing machine learning with template fitting

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Effects of redshift uncertainty on cross-correlations of CMB lensing and galaxy surveys

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Joint modelling of astrophysical systematics for cosmology with LSST cosmic shear

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Mapping the Galaxy Color–Star Formation Rate Relation with Manifold Learning and Infrared Image Stacking

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Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSSTPreprint

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Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation

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Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS

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KiDS + VIKING-450 cosmology with Bayesian hierarchical model redshift distributions

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Uncertainty-First Benchmarking: Conditional Density Evaluation for Multi-Model Redshift Estimators at Survey Scale

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Weak Lensing Cosmology in the Large Survey Era

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Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration

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Deep Spectroscopy with DESI for Photometric Redshift Training and CalibrationPreprint

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