Calibrating Redshift Distributions beyond Spectroscopic Limits with Cross‐Correlations

Cited by (281)

Items 101–200 of 281

1. Photometric redshifts: estimating their contamination and distribution using clustering information
   Jonathan Benjamin, Ludovic Van Waerbeke, Brice Ménard, M. Kilbinger · 2010 · Monthly Notices of the Royal Astronomical Society
2. SELF-CALIBRATION OF GRAVITATIONAL SHEAR-GALAXY INTRINSIC ELLIPTICITY CORRELATION IN WEAK LENSING SURVEYS
   Pengjie Zhang · 2010 · The Astrophysical Journal
3. Cluster magnification and the mass–richness relation in CFHTLenS
   Jes Ford, Hendrik Hildebrandt, Ludovic Van Waerbeke, T. Erben, C. Laigle, Martha Milkeraitis, Christopher Morrison · 2014 · Monthly Notices of the Royal Astronomical Society
4. QUANTIFYING PHOTOMETRIC REDSHIFT ERRORS IN THE ABSENCE OF SPECTROSCOPIC REDSHIFTS
   Ryan F. Quadri, Rik J. Williams · 2010 · The Astrophysical Journal
5. Inferring the redshift distribution of the cosmic infrared background★
   Samuel J. Schmidt, Brice Ménard, Ryan Scranton, Christopher Morrison, Mubdi Rahman, Andrew Hopkins · 2014 · Monthly Notices of the Royal Astronomical Society
6. Selection biases in empirical p(z) methods for weak lensing
   Daniel Gruen, F. Brimioulle · 2017 · Monthly Notices of the Royal Astronomical Society
7. 2dFLenS and KiDS: determining source redshift distributions with cross-correlations
   Andrew Johnson, Chris Blake, Alexandra Amon, T. Erben, Karl Glazebrook, Joachim Harnois-Déraps, Catherine Heymans, Hendrik Hildebrandt, Shahab Joudaki, Dominik Klaes et al. · 2016 · Monthly Notices of the Royal Astronomical Society
8. Optimized Photometric Redshifts for the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS)
   Dritan Kodra, Brett H. Andrews, Jeffrey A. Newman, Steven L. Finkelstein, A. Fontana, Nimish P. Hathi, Mara Salvato, Tommy Wiklind, Stijn Wuyts, Adam Broussard et al. · 2023 · The Astrophysical Journal
9. Overconfidence in photometric redshift estimation
   David Wittman, Ramya Bhaskar, Ryan Wesley Tobin · 2016 · Monthly Notices of the Royal Astronomical Society
10. Dark Energy Survey Year 3 results: calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS
    R. Cawthon, J. Elvin-Poole, A. Porredon, M. Crocce, G. Giannini, M. Gatti, Ashley J. Ross, Eli S Rykoff, Aurelio Carnero Rosell, Joseph DeRose et al. · 2022 · Monthly Notices of the Royal Astronomical Society
11. Cosmic shear with small scales: DES-Y3, KiDS-1000 and HSC-DR1
    Carlos García-García, Matteo Zennaro, Giovanni Aricò, David Alonso, Raúl E. Angulo · 2024 · Journal of Cosmology and Astroparticle Physics
12. Sample variance in photometric redshift calibration: cosmological biases and survey requirements
    Carlos E. Cunha, Dragan Huterer A, Michael T. Busha, Risa H. Wechsler · 2012 · Monthly Notices of the Royal Astronomical Society
13. Testing KiDS cross-correlation redshifts with simulations
    Jan Luca van den Busch, Hendrik Hildebrandt, Angus H. Wright, Christopher Morrison, Chris Blake, Benjamin Joachimi, T. Erben, Catherine Heymans, Konrad H. Kuijken, Edward N. Taylor · 2020 · Springer Link (Chiba Institute of Technology)
14. Corrected SFD: A More Accurate Galactic Dust Map with Minimal Extragalactic Contamination
    Yi-Kuan Chiang · 2023 · The Astrophysical Journal
15. Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
    R. Cawthon, Christopher P. Davis, M. Gatti, P Vielzeuf, J. Elvin-Poole, Eduardo Rozo, Joshua A. Frieman, Eli S Rykoff, Alex Alarcon, G. M. Bernstein et al. · 2018 · Monthly Notices of the Royal Astronomical Society
16. Cosmology with dropout selection: straw-man surveys & CMB lensing
    M.J. Wilson, Martin J. White · 2019 · Journal of Cosmology and Astroparticle Physics
17. Tomographic magnification of Lyman-break galaxies in the Deep Lens Survey
    Morrison, C. B., Scranton, R., Ménard, B., Schmidt, S. J., Tyson, J. A., Ryan, R., Choi, A., Wittman, D. M. · 2012 · Monthly Notices of the Royal Astronomical Society
18. Effects of unstable dark matter on large-scale structure and constraints from future surveys
    Mei-Yu Wang, Andrew R. Zentner · 2012 · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields
19. Measuring redshift-space distortions using photometric surveys
    Ashley J. Ross, Will J. Percival, M. Crocce, Anna Cabré, ENRIQUE GAZTAÑAGA · 2011 · Monthly Notices of the Royal Astronomical Society
20. Bayesian photometric redshifts with empirical training sets
    Christian Wolf · 2009 · Monthly Notices of the Royal Astronomical Society
21. The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys
    W. G. Hartley, Chihway Chang, S. Samani, Aurelio Carnero Rosell, T. M. Davis, Ben Hoyle, Daniel Gruen, J. Asorey, J. Gschwend, Christopher E. Lidman et al. · 2020 · Monthly Notices of the Royal Astronomical Society
22. Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model – Application to realisticN-body simulations
    Alex Alarcon, C. Sánchez, G. M. Bernstein, ENRIQUE GAZTAÑAGA · 2020 · Monthly Notices of the Royal Astronomical Society
23. The MUSEHubbleUltra Deep Field Survey
    J. Brinchmann, Hanae Inami, Roland M. Bacon, T. Contini, Michael V. Maseda, Jacopo Chevallard, N. Bouché, Leindert Boogaard, C. M. Carollo, S. Charlot et al. · 2017 · Astronomy and Astrophysics
24. Broadband Intensity Tomography: Spectral Tagging of the Cosmic UV Background
    Yi-Kuan Chiang, Brice Ménard, David Schiminovich · 2019 · The Astrophysical Journal
25. Calibrating photometric redshifts with intensity mapping observations
    David Alonso, Pedro G. Ferreira, M. J. Jarvis, Kavilan Moodley · 2017 · Physical review. D/Physical review. D.
26. Self-calibration of photometric redshift scatter in weak-lensing surveys
    Pengjie Zhang, Ue‐Li Pen, G. M. Bernstein · 2010 · Monthly Notices of the Royal Astronomical Society
27. Photometric redshift estimation using spectral connectivity analysis
    P. E. Freeman, J. A. Newman, A. B. Lee, J. W. Richards, C. M. Schafer · 2009 · Monthly Notices of the Royal Astronomical Society
28. Photometric Redshift Calibration Requirements for WFIRST Weak-lensing Cosmology: Predictions from CANDELS
    S. Hemmati, P. Capak, D. Masters, I. Davidzon, O. Dor'e, J. Kruk, B. Mobasher, J. Rhodes, D. Scolnic, D. Stern · 2018 · Astrophysical Journal
29. Weak lensing tomographic redshift distribution inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue
    Markus Michael Rau, Roohi Dalal, Tianqing Zhang, Xiangchong Li, Atsushi J. Nishizawa, Surhud More, Rachel Mandelbaum, Hironao Miyatake, Michael A. Strauss, Masahiro Takada · 2023 · Monthly Notices of the Royal Astronomical Society
30. Clustering-based redshift estimation: application to VIPERS/CFHTLS
    V Scottez, Y. Mellier, B. R. Granett, T. Moutard, M. Kilbinger, M. Scodeggio, B. Garilli, M. Bolzonella, S. de la Torre, L. Guzzo et al. · 2016 · Monthly Notices of the Royal Astronomical Society
31. Exploring the SDSS photometric galaxies with clustering redshifts
    Mubdi Rahman, Alexander J. Mendez, Brice Ménard, Ryan Scranton, Samuel J. Schmidt, Christopher Morrison, Tamás Budavári · 2016 · Monthly Notices of the Royal Astronomical Society
32. Imaging systematics and clustering of DESI main targets
    Ellie Kitanidis, Martin J. White, Yu Feng, David J. Schlegel, J. Guy, Arjun T. Dey, Martin Landriau, D. Brooks, M. E. Levi, John Moustakas et al. · 2020 · Monthly Notices of the Royal Astronomical Society
33. The PAU Survey: Photometric redshifts using transfer learning from simulations
    Eriksen, M, Alarcon, A, Cabayol, L, Carretero, J, Casas, R, Castander, F J, De Vicente, J, Fernandez, E, Garcia-Bellido, J, Gaztanaga, E et al. · 2020 · Monthly Notices of the Royal Astronomical Society
34. Photometric Redshift Estimation Using Spectral Connectivity Analysis
    Peter E. Freeman, Jeffrey A. Newman, A. B. Lee, J. W. Richards, Chad Schafer · 2009
35. Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3
    Spencer A Stanford, Daniel C. Masters, Behnam Darvish, Daniel K. Stern, Judith G. Cohen, Peter Lawrence Capak, Nina Hernitschek, I. Davidzon, Jason D. Rhodes, David B. Sanders et al. · 2021 · The Astrophysical Journal Supplement Series
36. Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies
    Abdalla, Elcio, Abellán, Guillermo Franco, Aboubrahim, Amin, Agnello, Adriano, Akarsu, Özgür, Akrami, Yashar, Alestas, George, Aloni, Daniel, Amendola, Luca, Anchordoqui, Luis A. et al. · 2022 · Journal of High Energy Astrophysics
37. THE NEXT GENERATION VIRGO CLUSTER SURVEY. XV. THE PHOTOMETRIC REDSHIFT ESTIMATION FOR BACKGROUND SOURCES
    Anand Raichoor, S. Mei, T. Erben, Hendrik Hildebrandt, Olivier Ilbert, Rossella Licitra, Nicholas M. Ball, Samuel Boissier, A. Boselli, Y.-T. Chen et al. · 2014 · The Astrophysical Journal
38. Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data
    Christopher P. Davis, Eduardo Rozo, Aaron J. Roodman, Alex Alarcon, R. Cawthon, M. Gatti, Huan Lin, R. Miquel, Eli S Rykoff, M. A. Troxel et al. · 2018 · Monthly Notices of the Royal Astronomical Society
39. Constraining cosmology with the Gaia-unWISE Quasar Catalog and CMB lensing: structure growth
    David Alonso, Giulio Fabbian, Kate Storey-Fisher, Anna–Christina Eilers, Carlos García-García, David W. Hogg, Hans‐Walter Rix · 2023 · Journal of Cosmology and Astroparticle Physics
40. QUANTIFYING PHOTOMETRIC REDSHIFT ERRORS IN THE ABSENCE OF SPECTROSCOPIC REDSHIFTS
    Ryan Quadri, Rik J. Williams · 2016
41. Tomographic Magnification of Lyman Break Galaxies in The Deep Lens Survey
    Christopher Morrison, Ryan Scranton, Samuel J. Schmidt, Tony Tyson, Russell E. Ryan, A. Choi, David Wittman · 2014
42. Interloper bias in future large-scale structure surveys
    Anthony R. Pullen, Christopher M. Hirata, Olivier Doré, Alvise Raccanelli · 2015 · Publications of the Astronomical Society of Japan
43. Cross-correlation of Planck CMB lensing with DESI-like LRGs
    Ellie Kitanidis, Martin J. White · 2020 · Monthly Notices of the Royal Astronomical Society
44. Submegaparsec individual photometric redshift estimation from cosmic web constraints
    Miguel A. Aragón-Calvo, Rien van de Weygaert, Bernard J. T. Jones, Bahram Mobasher · 2015 · Monthly Notices of the Royal Astronomical Society
45. Exploring the 2MASS extended and point source catalogues with clustering redshifts
    Mubdi Rahman, Brice Ménard, Ryan Scranton · 2016 · Monthly Notices of the Royal Astronomical Society
46. Kernel-based emulator for the 3D matter power spectrum from CLASS
    Arrykrishna Mootoovaloo, Andrew H. Jaffe, Alan Heavens, Florent Leclercq · 2021 · Astronomy and Computing
47. Weak lensing magnification in the Dark Energy Survey Science Verification data
    M. Garcia-Fernandez, Eusebio Sanchez, Ignacio Sevilla-Noarbe, Eric Suchyta, Eric Huff, ENRIQUE GAZTAÑAGA, J. Aleksić, Rafael Ponce, Francisco Javier Castander, Ben Hoyle et al. · 2018 · Monthly Notices of the Royal Astronomical Society
48. Cross-correlating radio continuum surveys and CMB lensing: constraining redshift distributions, galaxy bias, and cosmology
    David Alonso, Emilio Bellini, Catherine Laura Hale, M. J. Jarvis, Dominik J. Schwarz · 2021 · Monthly Notices of the Royal Astronomical Society
49. Improving the reliability of photometric redshift with machine learning
    Oleksandra Razim, S. Cavuoti, M. Brescia, Giuseppe Riccio, Mara Salvato, G. Longo · 2021 · Monthly Notices of the Royal Astronomical Society
50. Forward Modeling of Galaxy Populations for Cosmological Redshift Distribution Inference
    Justin Alsing, Hiranya V. Peiris, Daniel J. Mortlock, Joel Leja, Boris Leistedt · 2023 · The Astrophysical Journal Supplement Series
51. Non-Gaussianity constraints using future radio continuum surveys and the multitracer technique
    Zahra Gomes, S. Camera, M. J. Jarvis, Catherine Laura Hale, José Fonseca · 2019 · Monthly Notices of the Royal Astronomical Society
52. Gravitational waves × HI intensity mapping: cosmological and astrophysical applications
    Giulio Scelfo, Marta Spinelli, Alvise Raccanelli, Lumen Boco, Andrea Lapi, Matteo Viel · 2022 · Journal of Cosmology and Astroparticle Physics
53. LEVERAGING 3D-HST GRISM REDSHIFTS TO QUANTIFY PHOTOMETRIC REDSHIFT PERFORMANCE
    Rachel Bezanson, David A. Wake, Gabriel B. Brammer, Pieter G. van Dokkum, Marijn Franx, Ivo Labbé, Joel Leja, Ivelina G. Momcheva, Erica J. Nelson, Ryan F. Quadri et al. · 2016 · The Astrophysical Journal
54. Testing the accuracy of clustering redshifts with simulations
    V Scottez, A. Benoit-Lévy, Jean Coupon, Olivier Ilbert, Y. Mellier · 2017 · Monthly Notices of the Royal Astronomical Society
55. Clustering analysis of high-redshift luminous red galaxies in Stripe 82
    Nikolaos Nikoloudakis, T. Shanks, Utane Sawangwit · 2012 · Monthly Notices of the Royal Astronomical Society
56. DES science portal: Computing photometric redshifts
    J. Gschwend, A.C. Rossel, R. L. C. Ogando, A.F. Neto, M. A. G. Maia, L. N. da Costa, M. Lima, Paulo S. Pellegrini, Riccardo Campisano, C. Singulani et al. · 2018 · Astronomy and Computing
57. Producing a BOSS CMASS sample with DES imaging
    S. Lee, Eric Huff, Ashley J. Ross, A. Choi, Christopher M. Hirata, K. Honscheid, N. MacCrann, M. A. Troxel, Christopher P. Davis, T. F. Eifler et al. · 2019 · Monthly Notices of the Royal Astronomical Society
58. Euclid preparation
    Olivier Ilbert, S. de la Torre, N. Martinet, Angus H. Wright, S. Paltani, C. Laigle, I. Davidzon, Eric Jullo, Hendrik Hildebrandt, Daniel C. Masters et al. · 2021 · Astronomy and Astrophysics
59. Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models
    Boris Leistedt, Justin Alsing, Hiranya V. Peiris, Daniel J. Mortlock, Joel Leja · 2023 · The Astrophysical Journal Supplement Series
60. Cosmological constraints with clustering-based redshifts
    Ely D. Kovetz, Alvise Raccanelli, Mubdi Rahman · 2017 · Monthly Notices of the Royal Astronomical Society
61. The Next Generation Virgo Cluster Survey. XV. The photometric estimation for background sources
    Anand Raichoor, S. Mei, T. Erben, Hendrik Hildebrandt, Marc Huertas-Company, Olivier Ilbert, Rossella Licitra, Nicholas M. Ball, Samuel Boissier, A. Boselli et al. · 2014 · Saint Mary's University Institutional Repository (Saint Mary's University)
62. The Integrated Sachs Wolfe effect: unWISE and Planck constraints on dynamical dark energy
    Alex Krolewski, Simone Ferraro · 2022 · Journal of Cosmology and Astroparticle Physics
63. IMPROVING CORRELATION FUNCTION FITTING WITH RIDGE REGRESSION: APPLICATION TO CROSS-CORRELATION RECONSTRUCTION
    Daniel J. Matthews, Jeffrey A. Newman · 2012 · The Astrophysical Journal
64. USING CROSS CORRELATIONS TO CALIBRATE LENSING SOURCE REDSHIFT DISTRIBUTIONS: IMPROVING COSMOLOGICAL CONSTRAINTS FROM UPCOMING WEAK LENSING SURVEYS
    Roland de Putter, Olivier Doré, Sudeep Das · 2013 · The Astrophysical Journal
65. ATLAS probe: Breakthrough science of galaxy evolution, cosmology, Milky Way, and the Solar System
    Yun Wang, Massimo Robberto, Mark Dickinson, Lynne A. Hillenbrand, Wesley C. Fraser, Peter Behroozi, J. Brinchmann, Chia-Hsun Chuang, A. Cimatti, Robert Content A et al. · 2019 · Publications of the Astronomical Society of Australia
66. Cosmological constraints from weak lensing scattering transform using HSC Y1 data
    Si-Hao Cheng, Gabriela A. Marques, Daniela Grand'on, L. Thiele, Masato Shirasaki, Brice M'enard, Jia Liu · 2024 · Journal of Cosmology and Astroparticle Physics
67. Self-calibration and robust propagation of photometric redshift distribution uncertainties in weak gravitational lensing
    Benjamin Stölzner, Benjamin Joachimi, A. Korn, Hendrik Hildebrandt, Angus H. Wright · 2021 · Astronomy and Astrophysics
68. Cosmic Near-infrared Background Tomography with SPHEREx Using Galaxy Cross-correlations
    Yun-Ting Cheng, Tzu‐Ching Chang · 2022 · The Astrophysical Journal
69. Analytical marginalization over photometric redshift uncertainties in cosmic shear analyses
    Jaime Ruiz-Zapatero, Boryana Hadzhiyska, David Alonso, Pedro G. Ferreira, Carlos García-García, Arrykrishna Mootoovaloo · 2023 · Monthly Notices of the Royal Astronomical Society
70. Weak gravitational lensing as a method to constrain unstable dark matter
    Mei-Yu Wang, Andrew R. Zentner · 2010 · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields
71. A joint analysis for cosmology and photometric redshift calibration using cross-correlations
    Michael McLeod, S. T. Balan, Filipe Batoni Abdalla · 2016 · Monthly Notices of the Royal Astronomical Society
72. Redshift-space distortions from the cross-correlation of photometric populations
    J. Asorey, M. Crocce, ENRIQUE GAZTAÑAGA · 2014 · Monthly Notices of the Royal Astronomical Society
73. Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization
    Tianqing Zhang, Markus Michael Rau, Rachel Mandelbaum, Xiangchong Li, Ben Moews · 2022 · Monthly Notices of the Royal Astronomical Society
74. CALIBRATING PHOTOMETRIC REDSHIFT DISTRIBUTIONS WITH CROSS-CORRELATIONS
    Alexia E. Schulz · 2010 · The Astrophysical Journal
75. Cross-correlating 2D and 3D galaxy surveys
    Samuel Passaglia, A. Manzotti, Scott Dodelson · 2017 · Physical review. D/Physical review. D.
76. Bayesian photometric redshifts of blended sources
    Daniel M. Jones, Alan Heavens · 2018 · Monthly Notices of the Royal Astronomical Society
77. Analytic marginalization of N(z) uncertainties in tomographic galaxy surveys
    Boryana Hadzhiyska, David Alonso, Andrina Nicola, Anže Slosar · 2020 · Journal of Cosmology and Astroparticle Physics
78. LEVERAGING 3D-HST GRISM REDSHIFTS TO QUANTIFY PHOTOMETRIC REDSHIFT PERFORMANCE
    Rachel Bezanson, David A. Wake, Gabriel Brammer, Pieter van Dokkum, Marijn Franx, Ivo Labbé, Joel Leja, Ivelina G. Momcheva, Erica June Nelson, Ryan Quadri et al. · 2016 · Open Research Online (The Open University)
79. Using angular two-point correlations to self-calibrate the photometric redshift distributions of DECaLS DR9
    Haojie Xu, Pengjie Zhang, Hui Fen Peng, Yu Yu, Le Zhang, Ji Yao, Jian Qin, Zeyang Sun, Min He, Xiaohu Yang · 2023 · Monthly Notices of the Royal Astronomical Society
80. DESI Legacy Imaging Surveys Data Release 9: Cosmological constraints from galaxy clustering and weak lensing using the minimal bias model
    Haojie Xu, Hekun Li, Jun Zhang, Xiaohu Yang, Pengjie Zhang, Min He, Yizhou Gu, Jian Qin, Zhaozhou Li, Antonios Katsianis et al. · 2023 · Science China Physics Mechanics and Astronomy
81. Probing the dark side of the Universe with weak gravitational lensing effects
    Liping Fu, Zuhui Fan · 2014 · Research in Astronomy and Astrophysics
82. H i intensity mapping for clustering-based redshift estimation
    Steven Cunnington, I. Harrison, Alkistis Pourtsidou, David Bacon · 2018 · Monthly Notices of the Royal Astronomical Society
83. A composite likelihood approach for inference under photometric redshift uncertainty
    Markus Michael Rau, Christopher Morrison, Samuel J. Schmidt, Simon Wilson, Rachel Mandelbaum, Yao-Yuan Mao, David Alonso, Will G. Hartley, David P. Kirkby, Mikael Kuusela et al. · 2021 · Monthly Notices of the Royal Astronomical Society
84. The Nature of Low-surface-brightness Galaxies in the Hyper Suprime-Cam Survey
    Jenny E. Greene, Johnny P. Greco, Andy D. Goulding, Song Huang, Erin Kado-Fong, Shany Danieli, Jiaxuan Li, Ji Hoon Kim, Yutaka Komiyama, Alexie Leauthaud et al. · 2022 · The Astrophysical Journal
85. Combining spectroscopic and photometric surveys using angular cross-correlations – II. Parameter constraints from different physical effects
    Martin Eriksen, ENRIQUE GAZTAÑAGA · 2015 · Monthly Notices of the Royal Astronomical Society
86. Estimating redshift distributions using hierarchical logistic Gaussian processes
    Markus Michael Rau, Simon Wilson, Rachel Mandelbaum · 2019 · Monthly Notices of the Royal Astronomical Society
87. Photometric redshift estimation with convolutional neural networks and galaxy images: Case study of resolving biases in data-driven methods
    Q. Lin, D. Fouchez, Jérôme Pasquet, Marie A. Treyer, R. Ait Ouahmed, Stéphane Arnouts, Olivier Ilbert · 2022 · Astronomy and Astrophysics
88. Simultaneous constraints on cosmology and photometric redshift bias from weak lensing and galaxy clustering
    S. Samuroff, M. A. Troxel, Sarah Bridle, Joe Zuntz, N. MacCrann, E. Krause, T. F. Eifler, Donnacha Kirk · 2016 · Monthly Notices of the Royal Astronomical Society Letters
89. Mass functions, luminosity functions, and completeness measurements from clustering redshifts
    Dominic Bates, Rita Tojeiro, Jeffrey A. Newman, Violeta González-Pérez, Johan Comparat, Donald P. Schneider, M. Lima, A. Streblyanska · 2019 · Monthly Notices of the Royal Astronomical Society
90. Combining spectroscopic and photometric surveys: Same or different sky?
    Martin Eriksen, ENRIQUE GAZTAÑAGA · 2015 · Monthly Notices of the Royal Astronomical Society
91. Baryon acoustic oscillations in the projected cross-correlation function between the eBOSS DR16 quasars and photometric galaxies from the DESI Legacy Imaging Surveys
    Pauline Zarrouk, Mehdi Rezaie, Anand Raichoor, Ashley J. Ross, Shadab Alam, Robert Blum, David Brookes, Chia-Hsun Chuang, Shaun Cole, Kyle Dawson et al. · 2021 · Monthly Notices of the Royal Astronomical Society
92. Is the Radio Source Dipole from NVSS Consistent with the Cosmic Microwave Background and ΛCDM?
    Yun-Ting Cheng, Tzu‐Ching Chang, Adam Lidz · 2024 · The Astrophysical Journal
93. Dark Energy Survey: Galaxy sample for the baryonic acoustic oscillation measurement from the final dataset
    Juan Mena-Fernández, M. Rodríguez-Monroy, Santiago Avila, A. Porredon, Kwan Chuen Chan, H. Camacho, N. Weaverdyck, Ignacio Sevilla-Noarbe, Eusebio Sanchez, Laura Toribio San Cipriano et al. · 2024 · Physical review. D/Physical review. D.
94. Non-negative Matrix Factorization for Self-calibration of Photometric Redshift Scatter in Weak-lensing Surveys
    Le Zhang, Yu Yu, Pengjie Zhang · 2017 · The Astrophysical Journal
95. Dark Energy Survey Year 3 results: redshift calibration of the MagLim lens sample from the combination of SOMPZ and clustering and its impact on cosmology
    G. Giannini, Alex Alarcon, M. Gatti, A. Porredon, M. Crocce, G. M. Bernstein, R. Cawthon, C. Sánchez, Cyrille Doux, J. Elvin-Poole et al. · 2023 · Monthly Notices of the Royal Astronomical Society
96. The star-formation history in the last 10 billion years from CIB cross-correlations
    Baptiste Jego, Jaime Ruiz-Zapatero, Carlos García-García, Nick Koukoufilippas, David Alonso · 2023 · Monthly Notices of the Royal Astronomical Society
97. Exploiting cross correlations and joint analyses
    Jason D. Rhodes, S. W. Allen, Bradford A. Benson, Tzu‐Ching Chang, R. de Putter, Scott Dodelson, Olivier Doré, K. Honscheid, Eric V. Linder, Brice Ménard et al. · 2014 · Astroparticle Physics
98. Everything we’d like to do with LSST data, but we don’t know (yet) how
    Željko Ivezić, Andrew J. Connolly, Mario Jurić · 2016 · Proceedings of the International Astronomical Union
99. Detecting ultra-high-energy cosmic ray anisotropies through harmonic cross-correlations
    Federico R. Urban, S. Camera, David Alonso · 2021 · Astronomy and Astrophysics
100. A cross-correlation-based estimate of the galaxy luminosity function
     Marcel P. van Daalen, Martin J. White · 2018 · Monthly Notices of the Royal Astronomical Society