MAHA-z Photometric-Redshift Estimator Developed for Galaxy Surveys

This preliminary work introduces MAHA-z, a new photometric-redshift estimator combining k-nearest neighbor regression with a Mahalanobis distance metric. It aims to improve galaxy redshift estimation for cosmological analyses, particularly benefiting upcoming wide-field surveys like the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). This development could enhance our understanding of galaxy distribution and cosmic evolution.