Photometric Redshifts with Copula Entropy
This work addresses photometric redshift estimation for astronomy, offering an interpretable method with incremental improvements in accuracy.
The paper tackled the problem of predicting photometric redshifts by using copula entropy to select the most relevant photometric measurements, resulting in improved accuracy, particularly for high-redshift samples, compared to using all measurements.
In this paper we propose to apply copula entropy (CE) to photometric redshifts. CE is used to measure the correlations between photometric measurements and redshifts and then the measurements associated with high CEs are selected for predicting redshifts. We verified the proposed method on the SDSS quasar data. Experimental results show that the accuracy of photometric redshifts is improved with the selected measurements compared to the results with all the measurements used in the experiments, especially for the samples with high redshifts. The measurements selected with CE include luminosity magnitude, the brightness in ultraviolet band with standard deviation, and the brightness of the other four bands. Since CE is a rigorously defined mathematical concept, the models such derived is interpretable.