[1308.4145] The first analytical expression to estimate pho
Posted: February 06 2014
This work uses a machine-learning software technology to estimate photometric redshifts: more importantly, it estimates the functional form of the relationships between photometry and redshift. The technology performs a search over an increasingly complicated functional space, using a software called EUREQA, which has also been developed into both educationally and commercially licensed software. It appears very mature.
Does a method like sufficiently sample the space of possible relationships between photometry and redshift?
Is there a probabilistic interpretation of their results? I.e., how would one obtain a p-value or significance of the output? Here, the question is regarding assigning objects to classes probabilistically ... e.g., types of galaxies.
How reliable is this work's methodology? Are any major drawbacks not discussed? If not, why are more people not using this method?
Does a method like sufficiently sample the space of possible relationships between photometry and redshift?
Is there a probabilistic interpretation of their results? I.e., how would one obtain a p-value or significance of the output? Here, the question is regarding assigning objects to classes probabilistically ... e.g., types of galaxies.
How reliable is this work's methodology? Are any major drawbacks not discussed? If not, why are more people not using this method?