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Lyman‐Break Galaxies 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 $z\gtrsim 4$ \end{document} and the Evolution of the Ultraviolet Luminosity Density at High Redshift

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The Luminosity and Color Dependence of the Galaxy Correlation Function

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Probing Dark Energy with Baryonic Acoustic Oscillations from Future Large Galaxy Redshift Surveys

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Report of the Dark Energy Task ForcePreprint

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First Cosmic Shear Results from the Canada‐France‐Hawaii Telescope Wide Synoptic Legacy Survey

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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}

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First Cosmic Shear Results from the Canada-France-Hawaii Telescope Wide Synoptic Legacy Survey

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Very Small Scale Clustering and Merger Rate of Luminous Red Galaxies

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Detection of Cosmic Magnification with the Sloan Digital Sky Survey

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The DEEP2 Galaxy Redshift Survey: Clustering of Galaxies as a Function of Luminosity atz= 1

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The DEEP2 Galaxy Redshift Survey: Clustering of Quasars and Galaxies atz= 1

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Very Small-Scale Clustering and Merger Rate of Luminous Red Galaxies

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

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

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The DEEP2 Galaxy Redshift Survey: Clustering of Groups and Group Galaxies atz ∼ 1

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Redshift Accuracy Requirements for Future Supernova and Number Count Surveys

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LSST: From Science Drivers to Reference Design and Anticipated Data Products

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Overview of the DESI Legacy Imaging Surveys

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Overview of the DESI Legacy Imaging SurveysPreprint

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

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KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

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

Masters, D., Capak, P., Stern, D., Ilbert, O., Salvato, M., Schmidt, S., Longo, G., Rhodes, J., Paltani, S., Mobasher, B., et al. (2015) · The Astrophysical Journal · doi:10.1088/0004-637x/813/1/53 · Cited by 113 · see citing works

Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies

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Simultaneous measurement of cosmology and intrinsic alignments using joint cosmic shear and galaxy number density correlations

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Target Selection and Validation of DESI Emission Line Galaxies

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Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies

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KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear

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Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties

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KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear

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The effective number density of galaxies for weak lensing measurements in the LSST project

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KiDS-1000 catalogue: Redshift distributions and their calibration

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Accurate precision cosmology with redshift unknown gravitational wave sources

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PHOTOMETRIC REDSHIFT WITH BAYESIAN PRIORS ON PHYSICAL PROPERTIES OF GALAXIES

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

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Growth of cosmic structure: Probing dark energy beyond expansion

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KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data

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Constraining primordial non-Gaussianity with bispectrum and power spectrum from upcoming optical and radio surveys

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ULTRA-LARGE-SCALE COSMOLOGY IN NEXT-GENERATION EXPERIMENTS WITH SINGLE TRACERS

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The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Survey Overview and Data Release 1

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ArborZ: PHOTOMETRIC REDSHIFTS USING BOOSTED DECISION TREES

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Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data

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WISE x Supercosmos photometric redshift catalog: 20 million galaxies over 3 pi steradians

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The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Analysis and Data Release 2

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Parameter constraints from cross-correlation of CMB lensing with galaxy clustering

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COMPREHENSIVE TWO-POINT ANALYSES OF WEAK GRAVITATIONAL LENSING SURVEYS

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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

Schrabback, T., Applegate, D., Dietrich, J. P., Hoekstra, H., Bocquet, S., Gonzalez, A. H., von der Linden, A., McDonald, M., Morrison, C., Raihan, S. F., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx2666 · Cited by 123 · see citing works

Simultaneous measurement of cosmology and intrinsic alignments using joint cosmic shear and galaxy number density correlations

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On using angular cross-correlations to determine source redshift distributions

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Photometric redshift calibration with self-organising maps

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A cosmic variance cookbook

Moster, B. P., Somerville, R. S., Newman, J. A., & Rix, H. (2011) · Max Planck Institute for Plasma Physics · Cited by 121 · see citing works

Measuring the distance-redshift relation with the cross-correlation of gravitational wave standard sirens and galaxies

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Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

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Photometric Redshifts for Next-Generation Surveys

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Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

Buchs, R., Davis, C. P., Gruen, D., DeRose, J., Alarcon, A., Bernstein, G. M., Sánchez, C., Myles, J., Roodman, A. J., Allen, S. W., et al. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2162 · Cited by 104 · see citing works

Spectroscopic needs for imaging dark energy experiments

Newman, J. A., Abate, A., Abdalla, F. B., Allam, S., Allen, S. W., Ansari, R., Bailey, S., Barkhouse, W. A., Beers, T. C., Blanton, M. R., et al. (2015) · Astroparticle Physics · doi:10.1016/j.astropartphys.2014.06.007 · Cited by 98 · see citing works

Recovering redshift distributions with cross-correlations: pushing the boundaries

Schmidt, S. J., Ménard, B., Scranton, R., Morrison, C., & McBride, C. K. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt410 · Cited by 97 · see citing works

Photometric redshift calibration with self-organising maps

Wright, A. H., Hildebrandt, H., van den Busch, J. L., & Heymans, C. (2020) · Springer Link (Chiba Institute of Technology) · doi:10.1051/0004-6361/201936782/pdf · Cited by 95 · see citing works

RCSLenS: The Red Cluster Sequence Lensing Survey

Hildebrandt, H., Choi, A., Heymans, C., Blake, C., Erben, T., Miller, L., Nakajima, R., Waerbeke, L. V., Viola, M., Buddendiek, A., et al. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2013 · Cited by 92 · see citing works

The LSST DESC DC2 Simulated Sky Survey

Abolfathi, B., Alonso, D., Armstrong, R., Aubourg, É., Awan, H., Babuji, Y. N., Bauer, F. E., Bean, R., Beckett, G., Biswas, R., et al. (2021) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/abd62c · Cited by 85 · 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

unWISE tomography of Planck CMB lensing

Krolewski, A., Ferraro, S., Schlafly, E. F., & White, M. J. (2020) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2020/05/047 · Cited by 84 · see citing works

Dark Energy Survey Year 3 Results: clustering redshifts – calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS

Gatti, M., Giannini, G., Bernstein, G. M., Alarcon, A., Myles, J., Amon, A., Cawthon, R., Troxel, M. A., DeRose, J., Everett, S., et al. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab3311 · Cited by 83 · see citing works

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

Gatti, M., Vielzeuf, P., Davis, C. P., Cawthon, R., Rau, M. M., DeRose, J., de Vicente, J., Alarcon, A., Rozo, E., GAZTAÑAGA, E., et al. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty466 · Cited by 79 · see citing works

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

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Cross-correlation of spectroscopic and photometric galaxy surveys: cosmology from lensing and redshift distortions

GAZTAÑAGA, E., Eriksen, M., Crocce, M., Castander, F. J., Fosalba, P., Martí, P., Miquel, R., & Cabré, A. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.20613.x · Cited by 77 · see citing works

Using neural networks to estimate redshift distributions. An application to CFHTLenS

Bonnett, C. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv230 · Cited by 76 · 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

Scientific Synergy between LSST and Euclid

Rhodes, J., Nichol, R., Aubourg, '., Bean, R., Boutigny, D., Bremer, M., Capak, P., Cardone, V., Carry, B., Conselice, C., et al. (2017) · Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aa96b0 · Cited by 61 · see citing works

Horizon-AGN virtual observatory – 1. SED-fitting performance and forecasts for future imaging surveys

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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

Cosmology with the Large Synoptic Survey Telescope: an overview

Zhan, H., & Tyson, T. (2018) · Reports on Progress in Physics · doi:10.1088/1361-6633/aab1bd · Cited by 73 · see citing works

the-wizz: clustering redshift estimation for everyone

Morrison, C., Hildebrandt, H., Schmidt, S. J., Baldry, I. K., Bilicki, M., Choi, A., Erben, T., & Schneider, P. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx342 · Cited by 72 · see citing works

Reconstructing large-scale structure with neutral hydrogen surveys

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Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

Nicola, A., Alonso, D., Sánchez, J., Slosar, A., Awan, H., Broussard, A., Dunkley, J., Gawiser, E., Gomes, Z., Mandelbaum, R., et al. (2020) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2020/03/044 · Cited by 71 · see citing works

KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps

Wright, A. H., Hildebrandt, H., van den Busch, J. L., Heymans, C., Joachimi, B., Kannawadi, A., & Kuijken, K. H. (2020) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202038389 · Cited by 71 · see citing works

Where are the Luminous Red Galaxies (LRGs)? Using correlation measurements and lensing to relate LRGs to dark matter haloes

Hikage, C., Mandelbaum, R., Takada, M., & Spergel, D. N. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt1446 · Cited by 68 · see citing works

Incompleteness Matters Not: Inference of H0 from Binary Black Hole–Galaxy Cross-correlations

Bera, S., Rana, D., More, S., & Bose, S. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/abb4e0 · Cited by 67 · see citing works

Clustering-based redshift estimation: comparison to spectroscopic redshifts

Rahman, M., Ménard, B., Scranton, R., Schmidt, S. J., & Morrison, C. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu2636 · Cited by 66 · see citing works

UnWISE tomography of Planck CMB lensing

Krolewski, A., Ferraro, S., Schlafly, E., & White, M. (2020) · eScholarship (California Digital Library) · Cited by 65 · see citing works

KiDS-1000: Cosmic shear with enhanced redshift calibration

van den Busch, J. L., Wright, A. H., Hildebrandt, H., Bilicki, M., Asgari, M., Joudaki, S., Blake, C., Heymans, C., Kannawadi, A., Shan, H., et al. (2022) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202142083 · Cited by 65 · see citing works

DISTANCE, GROWTH FACTOR, AND DARK ENERGY CONSTRAINTS FROM PHOTOMETRIC BARYON ACOUSTIC OSCILLATION AND WEAK LENSING MEASUREMENTS

Zhan, H., Knox, L., & Tyson, J. A. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/690/1/923 · Cited by 67 · see citing works

Mapping the cosmic expansion history from LIGO-Virgo-KAGRA in synergy with DESI and SPHEREx

Díaz, C. C., & Mukherjee, S. (2022) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stac208 · Cited by 62 · see citing works

Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model

Sánchez, C., & Bernstein, G. M. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty3222 · Cited by 62 · see citing works

Testing KiDS cross-correlation redshifts with simulations

van den Busch, J. L., Hildebrandt, H., Wright, A. H., Morrison, C. B., Blake, C., Joachimi, B., Erben, T., Heymans, C., Kuijken, K. H., & Taylor, E. N. (2020) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202038835 · Cited by 62 · see citing works

The Cosmic Thermal History Probed by Sunyaev–Zeldovich Effect Tomography

Chiang, Y.-K., Makiya, R., Ménard, B., & Komatsu, E. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/abb403 · Cited by 61 · see citing works

The PAU Survey: an improved photo-zsample in the COSMOS field

Alarcon, A., GAZTAÑAGA, E., Eriksen, M., Baugh, C. M., Cabayol, L., Casas, R., Carretero, J., Castander, F. J., de Vicente, J., Fernandez, E., et al. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa3659 · Cited by 61 · see citing works

KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps

Wright, A. H., Hildebrandt, H., van den Busch, J. L., Heymans, C., Joachimi, B., Kannawadi, A., & Kuijken, K. H. (2020) · Springer Link (Chiba Institute of Technology) · doi:10.1051/0004-6361/202038389/pdf · Cited by 59 · see citing works

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

Choi, A., Heymans, C., Blake, C., Hildebrandt, H., Duncan, C. A. J., Erben, T., Nakajima, R., Waerbeke, L. V., & Viola, M. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw2241 · Cited by 58 · see citing works

Constraining the baryon abundance with the kinematic Sunyaev-Zel’dovich effect: Projected-field detection using Planck , WMAP , and unWISE

Kusiak, A., Bolliet, B., Ferraro, S., Hill, J. C., & Krolewski, A. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.043518 · Cited by 57 · see citing works

Cross-correlating Dark Sirens and Galaxies: Constraints on H 0 from GWTC-3 of LIGO–Virgo–KAGRA

Mukherjee, S., Krolewski, A., Wandelt, B. D., & Silk, J. I. (2024) · The Astrophysical Journal · doi:10.3847/1538-4357/ad7d90 · Cited by 57 · see citing works

Extragalactic Imprints in Galactic Dust Maps

Chiang, Y.-K., & Ménard, B. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/aaf4f6 · Cited by 56 · see citing works

The Atacama Cosmology Telescope: Cosmology from Cross-correlations of unWISE Galaxies and ACT DR6 CMB Lensing

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Preprint typeset using L ATEX style emulateapj v. 10/09/06 CALIBRATING REDSHIFT DISTRIBUTIONS BEYOND SPECTROSCOPIC LIMITS WITH CROSS-CORRELATIONSPreprint

Newman, J. A. (2008)

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

CALIBRATING PHOTOMETRIC REDSHIFT DISTRIBUTIONS WITH CROSS-CORRELATIONS

Schulz, A. E. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/724/2/1305 · Cited by 20 · see citing works

Submitted to the Astrophysical Journal Preprint typeset using LATEX style emulateapj v. 10/09/06 CALIBRATING PHOTOMETRIC REDSHIFT DISTRIBUTIONS WITH CROSS-CORRELATIONSPreprint

Schulz, A. E. (2009)

Reconstructing Redshift Distributions Using Cross-correlations of Spectroscopic and Photometric Surveys

Matthews, D. J. (2012)