23 citations · 35 across the 8 of their papers we have counts for
3 papers · 1 filter
StratLearn-z: Improved photo- estimation from spectroscopic data subject to selection effects
Chiara Moretti, Maximilian Autenrieth, Riccardo Serra +3
A precise measurement of photometric redshifts (photo-z) is key for the success of modern photometric galaxy surveys. Machine learning (ML) methods show great promise in this conte…
Using fractional derivatives to derive marginal densities
Si-Yang Li, David A. van Dyk, Maximilian Autenrieth
This paper presents a novel method for analytical derivations of marginal densities using the fractional derivatives of moment-generating functions. Although the method requires li…
Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
Maximilian Autenrieth, Angus H. Wright, Roberto Trotta +3
Discrepancies between cosmological parameter estimates from cosmic shear surveys and from recent Planck cosmic microwave background measurements challenge the ability of the highly…