Mubdi Rahman
John Hopkins

Recovering Redshift Distributions using Galaxy Clustering: Early Result

Measuring distance is a fundamental problem in astrophysics. The classical technique of spectroscopic measurement redshifts is expensive and limited to the brightest of objects with identifiable spectral features. However, the advent of large spectroscopic catalogs has enabled new techniques to determine distances based on galaxy clustering. In this talk, I will present the galaxy clustering redshift recovery technique, and present some early results uncovering some unsettling problems with existing catalogs of photometric redshifts.