Publikationen von Markus Michael Rau

Hoyle, B.; Rau, M. M.: Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample. Monthly Notices of the Royal Astronomical Society 485 (3), S. 3642 - 3660 (2019)

Rau, M. M.; Hoyle, B.; Paech, K.; Seitz, S.: Correcting cosmological parameter biases for all redshift surveys induced by estimating and reweighting redshift distributions. Monthly Notices of the Royal Astronomical Society 466 (3), S. 2927 - 2938 (2017)

Zitlau, R.; Hoyle, B.; Paech, K.; Weller, J.; Rau, M. M.; Seitz, S.: Stacking for machine learning redshifts applied to SDSS galaxies. Monthly Notices of the Royal Astronomical Society 460 (3), S. 3152 - 3162 (2016)

Hoyle, B.; Paech, K.; Rau, M. M.; Seitz, S.; Weller, J.: Tuning target selection algorithms to improve galaxy redshift estimates. Monthly Notices of the Royal Astronomical Society 458 (4), S. 4498 - 4511 (2016)

Hoyle, B.; Rau, M. M.; Paech, K.; Bonnett, C.; Seitz, S.; Weller, J.: Anomaly detection for machine learning redshifts applied to SDSS galaxies. Monthly Notices of the Royal Astronomical Society 452 (4), S. 4183 - 4194 (2015)

Rau, M. M.; Seitz, S.; Brimioulle, F.; Frank, E.; Friedrich, O.; Gruen, D.; Hoyle, B.: Accurate photometric redshift probability density estimation – method comparison and application. Monthly Notices of the Royal Astronomical Society 452 (4), S. 3710 - 3725 (2015)