MR
M. M. Rau
astro-ph.COastro-ph.IMastro-ph.GAastro-ph.SRcs.LGastro-ph.EPgr-qchep-phstat.MEstat.ML
On Valency
published · living versionsW_b7ys4b3s·v1 · currentpublished
Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES – Calibration of the Weak Lensing Source Redshift Distributions
with C. Davis, M. Gatti, P. Vielzeuf, R. Cawthon +79
1 version
W_6gyhc5ze·v1published
Preprints & journals
67 papers in the corpus · 2014–2025Toward testing gravity with LSST using 2511.19194v2 · C. D. Leonard, S. Alam, R. Mandelbaum et al.2025 · 0 citationsPhys. Rev. D 113, 043547, 2026
Taking the Weight Off: Mitigating Parameter Bias from Catastrophic Outliers in 3$\times$2pt Analysis2509.08052v2 · Carolyn McDonald Mill, C. Danielle Leonard, Markus Michael Rau et al.2025 · 0 citationsarXiv
Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration2507.01377v2 · Tianqing Zhang, Sunao Sugiyama, Surhud More et al.2025 · 0 citationsarXiv
Cosmology and Source Redshift Constraints from Galaxy Clustering and Tomographic Weak Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model2507.01386v2 · Tianqing Zhang, Xiangchong Li, Sunao Sugiyama et al.2025 · 1 citationarXiv
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics2504.01669v3 · Eleonora Di Valentino, Jackson Levi Said, Adam Riess et al.2025 · 324 citationsPhys. Dark Univ. 49 (2025) 101965
Meta-learning for cosmological emulation: Rapid adaptation to new lensing kernels2504.00552v2 · Charlie MacMahon-Gell'er, C. Danielle Leonard, Philip Bull et al.2025 · 0 citationsarXiv
Weak lensing mass-richness relation of redMaPPer clusters in the LSST DESC DC2 simulations2502.08444v2 · Constantin Payerne, Zhuowen Zhang, Michel Aguena et al.2025 · 3 citationsA&A 700, A34 (2025)
Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation2406.11950v2 · Markus Michael Rau, Florian K'eruzor'e, Nesar Ramachandra et al.2024 · 1 citationarXiv
Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: I. Cluster Catalog, Selection Function and Mass--Observable Relation2406.11966v2 · Kai-Feng Chen, I-Non Chiu, Masamune Oguri et al.2024 · 6 citationsarXiv
Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: II. Cosmological Constraints from the Cluster Abundance2406.11970v2 · I-Non Chiu, Kai-Feng Chen, Masamune Oguri et al.2024 · 12 citationsarXiv
Joint Modelling of Astrophysical Systematics for Cosmology with LSST Cosmic Shear2406.03352v3 · Nikolina Sarcevi'c, C. Danielle Leonard, Markus M. Rau2024 · 5 citationsMonthly Notices of the Royal Astronomical Society, Volume 537, Issue 2, February 2025, Pages 1924-1948
Photometric redshifts and intrinsic alignments: degeneracies and biases in 3$\times$2pt analysis2401.06060v2 · C. Danielle Leonard, Markus Michael Rau, Rachel Mandelbaum2024 · 17 citationsarXiv
Optical Cluster Cosmology with SDSS redMaPPer clusters and HSC-Y3 lensing measurements2309.13025v1 · Tomomi Sunayama, Hironao Miyatake, Sunao Sugiyama et al.2023 · 21 citationsarXiv
Hyper Suprime-Cam Year 3 Results: Cosmology from Cosmic Shear Power Spectra2304.00701v2 · Roohi Dalal, Xiangchong Li, Andrina Nicola et al.2023 · 229 citationsPhysical Review D, Volume 108, Issue 12, December 2023, article id.123519
Hyper Suprime-Cam Year 3 Results: Cosmology from Cosmic Shear Two-point Correlation Functions2304.00702v3 · Xiangchong Li, Tianqing Zhang, Sunao Sugiyama et al.2023 · 164 citationsarXiv
Hyper Suprime-Cam Year 3 Results: Measurements of Clustering of SDSS-BOSS Galaxies, Galaxy-Galaxy Lensing and Cosmic Shear2304.00703v3 · Surhud More, Sunao Sugiyama, Hironao Miyatake et al.2023 · 48 citationsarXiv
Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Emulator Based Halo Model2304.00704v3 · Hironao Miyatake, Sunao Sugiyama, Masahiro Takada et al.2023 · 92 citationsarXiv
Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Minimal Bias Model2304.00705v3 · Sunao Sugiyama, Hironao Miyatake, Surhud More et al.2023 · 95 citationsPhys. Rev. D 108, 123521 (2023)
Weak Lensing Tomographic Redshift Distribution Inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue2211.16516v2 · Markus Michael Rau, Roohi Dalal, Tianqing Zhang et al.2022 · 40 citationsarXiv
Galaxy Distribution Incompleteness Testing Using Self-Organizing Maps2207.08657v1 · Isaac McMahon, Markus Michael Rau, Rachel Mandelbaum2022 · 0 citationsarXiv
The Dynamical Mass of the Coma Cluster from Deep Learning2206.14834v1 · Matthew Ho, Michelle Ntampaka, Markus Michael Rau et al.2022 · 28 citationsarXiv
Photometric Redshift Uncertainties in Weak Gravitational Lensing Shear Analysis: Models and Marginalization2206.10169v2 · Tianqing Zhang, Markus Michael Rau, Rachel Mandelbaum et al.2022 · 19 citationsMNRAS, 518, 709 - 723 (2023)
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network2112.03939v2 · Biprateep Dey, Brett H. Andrews, Jeffrey A. Newman et al.2021 · 35 citationsMNRAS Vol 515 Issue 4 October 2022 Pgs 5285 5305
Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys2111.13805v1 · A. Leauthaud, A. Amon, S. Singh et al.2021 · 19 citationsarXiv
Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results2111.07203v2 · H. Camacho, F. Andrade-Oliveira, A. Troja et al.2021 · 13 citationsMonthly Notices of the Royal Astronomical Society, Volume 516, Issue 4, November 2022, Page 5799
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression2110.15209v2 · Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews et al.2021 · 4 citationsarXiv
Probabilistic model for dynamic galaxy decomposition2105.02237v1 · Yesukhei Jagvaral, Duncan Campbell, Rachel Mandelbaum et al.2021 · 9 citationsarXiv
Probing gravity with the DES-CMASS sample and BOSS spectroscopy2104.14515v2 · S. Lee, E. M. Huff, A. Choi et al.2021 · 15 citationsarXiv
Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation2104.11319v2 · S. Lee, M. A. Troxel, A. Choi et al.2021 · 10 citationsarXiv
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations.33891448 · To, C, Krause, E, Rozo, E et al.2021 · 103 citationsPhysical review letters. 2021;126(14):141301
A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty2101.01184v2 · M. M. Rau, C. B. Morrison, S. J. Schmidt et al.2021 · 18 citationsarXiv
Fisher Matrix Stability2101.00298v2 · Naren Bhandari, C. Danielle Leonard, Markus Michael Rau et al.2021 · 11 citationsarXiv
Assessing tension metrics with Dark Energy Survey and Planck data2012.09554v2 · P. Lemos, M. Raveri, A. Campos et al.2020 · 83 citationsarXiv
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions2011.03410v3 · C. Doux, E. Baxter, P. Lemos et al.2020 · 38 citationsarXiv
Euclid preparation: X. The Euclid photometric-redshift challenge2009.12112v2 · G. Desprez, S. Paltani, J. Coupon et al.2020 · 113 citationsA&A 644, A31 (2020)
Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe2007.15026v2 · Hung-Jin Huang, Tim Eifler, Rachel Mandelbaum et al.2020 · 47 citationsarXiv
Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters2006.13231v2 · Matthew Ho, Arya Farahi, Markus Michael Rau et al.2020 · 26 citations2021 ApJ, 908, 204H
Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?2005.12275v2 · H. Sampaio-Santos, Y. Zhang, R. L. C. Ogando et al.2020 · 52 citationsMonthly Notices of the Royal Astronomical Society, Volume 501, Issue 1, February 2021, Pages 1300-1315
The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys2003.10454v2 · W. G. Hartley, C. Chang, S. Samani et al.2020 · 45 citationsarXiv
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing2002.11124v1 · Tim Abbott, Michel Aguena, Alex Alarcon et al.2020 · 274 citationsPhys. Rev. D 102, 023509 (2020)
Dark Energy Survey Year 1 results: The relationship between mass and light around cosmic voids1909.01386v2 · Y. Fang, N. Hamaus, B. Jain et al.2019 · 48 citationsarXiv
Estimating redshift distributions using Hierarchical Logistic Gaussian processes1904.09988v2 · Markus Michael Rau, Simon Wilson, Rachel Mandelbaum2019 · 17 citationsarXiv
The Role of Machine Learning in the Next Decade of Cosmology1902.10159v2 · Michelle Ntampaka, Camille Avestruz, Steven Boada et al.2019 · 40 citationsarXiv
The imprint of X-ray photoevaporation of planet-forming discs on the orbital distribution of giant planets1812.02173v2 · Kristina Monsch, Barbara Ercolano, Giovanni Picogna et al.2018 · 24 citationsMNRAS, Volume 483, Issue 3, 1 March 2019, Pages 3448-3458
Cosmological lensing ratios with DES Y1, SPT and Planck1810.02212v2 · J. Prat, E. J. Baxter, T. Shin et al.2018 · 22 citationsMNRAS 487, 1363-1379 (2019)
Dark Energy Survey Year 1 Results: Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions1810.02322v1 · T. M. C. Abbott, F. B. Abdalla, A. Alarcon et al.2018 · 59 citationsPhys. Rev. D 100, 023541 (2019)
Dark Energy Survey Year 1 Results: Cross-correlation between DES Y1 galaxy weak lensing and SPT+Planck CMB weak lensing1810.02441v1 · Y. Omori, E. Baxter, C. Chang et al.2018 · 30 citationsPhys. Rev. D 100, 043517 (2019)
Calibrating Long Period Variables as Standard Candles with Machine Learning1806.02841v2 · Markus Michael Rau, Sergey E. Koposov, Hy Trac et al.2018 · 12 citationsarXiv
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters1805.00039v2 · T. McClintock, T. N. Varga, D. Gruen et al.2018 · 237 citationsarXiv
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample1802.02581v2 · Ben Hoyle, Markus Michael Rau2018 · 10 citationsarXiv
Career total: at least 89 works. 67 are in this corpus.Showing the 50 most recent.
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