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Rau, Markus Michael
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1

Photometric redshifts and intrinsic alignments: Degeneracie..:

Leonard, C. Danielle ; Rau, Markus Michael ; Mandelbaum, Rachel
Physical Review D.  109 (2024)  8 - p. , 2024
Link: https://doi.org/10.1103/..
 
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2

Hyper Suprime-Cam Year 3 results: Measurements of clusterin..:

More, Surhud ; Sugiyama, Sunao ; Miyatake, Hironao...
Physical Review D.  108 (2023)  12 - p. , 2023
Link: https://doi.org/10.1103/..
 
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3

Weak lensing tomographic redshift distribution inference fo..:

Rau, Markus Michael ; Dalal, Roohi ; Zhang, Tianqing...
Monthly Notices of the Royal Astronomical Society.  524 (2023)  4 - p. 5109-5131 , 2023
Link: https://doi.org/10.1093/..
 
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4

The dynamical mass of the Coma cluster from deep learning:

Ho, Matthew ; Ntampaka, Michelle ; Rau, Markus Michael...
Nature Astronomy.  6 (2022)  8 - p. 936-941 , 2022
Link: https://doi.org/10.1038/..
 
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5

Photometric redshifts from SDSS images with an interpretabl..:

Dey, Biprateep ; Andrews, Brett H ; Newman, Jeffrey A...
Monthly Notices of the Royal Astronomical Society.  515 (2022)  4 - p. 5285-5305 , 2022
Link: https://doi.org/10.1093/..
 
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6

Photometric redshift uncertainties in weak gravitational le..:

Zhang, Tianqing ; Rau, Markus Michael ; Mandelbaum, Rachel..
Monthly Notices of the Royal Astronomical Society.  518 (2022)  1 - p. 709-723 , 2022
Link: https://doi.org/10.1093/..
 
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7

Probabilistic model for dynamic galaxy decomposition:

Jagvaral, Yesukhei ; Campbell, Duncan ; Mandelbaum, Rachel.
Monthly Notices of the Royal Astronomical Society.  509 (2021)  2 - p. 1764-1778 , 2021
Link: https://doi.org/10.1093/..
 
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8

Calibrating long-period variables as standard candles with ..:

Rau, Markus Michael ; Koposov, Sergey E ; Trac, Hy.
Monthly Notices of the Royal Astronomical Society.  484 (2019)  1 - p. 409-421 , 2019
Link: https://doi.org/10.1093/..
 
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9

Estimating redshift distributions using hierarchical logist..:

Rau, Markus Michael ; Wilson, Simon ; Mandelbaum, Rachel
Monthly Notices of the Royal Astronomical Society.  491 (2019)  4 - p. 4768-4782 , 2019
Link: https://doi.org/10.1093/..
 
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10

Self-consistent redshift estimation using correlation funct..:

Rau, Markus Michael ; Hoyle, Ben
Monthly Notices of the Royal Astronomical Society.  485 (2019)  3 - p. 3642-3660 , 2019
Link: https://doi.org/10.1093/..
 
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11

The imprint of X-ray photoevaporation of planet-forming dis..:

Monsch, Kristina ; Ercolano, Barbara ; Picogna, Giovanni..
Monthly Notices of the Royal Astronomical Society.  483 (2018)  3 - p. 3448-3458 , 2018
Link: https://doi.org/10.1093/..
 
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12

Photometric redshift estimation for precision cosmology:

Rau, Markus Michael , 2017
Link: http://nbn-resolving.de/..
 
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13

Tuning target selection algorithms to improve galaxy redshi..:

Hoyle, Ben ; Paech, Kerstin ; Rau, Markus Michael..
Monthly Notices of the Royal Astronomical Society.  458 (2016)  4 - p. 4498-4511 , 2016
Link: https://doi.org/10.1093/..
 
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14

Stacking for machine learning redshifts applied to SDSS gal..:

Zitlau, Roman ; Hoyle, Ben ; Paech, Kerstin...
Monthly Notices of the Royal Astronomical Society.  460 (2016)  3 - p. 3152-3162 , 2016
Link: https://doi.org/10.1093/..
 
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15

Correcting cosmological parameter biases for all redshift s..:

Rau, Markus Michael ; Hoyle, Ben ; Paech, Kerstin.
Monthly Notices of the Royal Astronomical Society.  466 (2016)  3 - p. 2927-2938 , 2016
Link: https://doi.org/10.1093/..
 
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