Photometric Redshift Estimation via a Spectra-guided Gaussian Mixture Density Framework
Accurate and computationally efficient photometric redshift estimation is essential for cosmological analyses and studies of the large-scale structure of the Universe. However, applying existing template-fitting and machine learning methods to rapidly growing survey data sets can involve trade-offs between predictive p...