Measuring blackbody parameters for objects hotter than a few 10^4K with optical data alone is common in many astrophysical studies. However this process prone to large errors because at those temperatures the bands are mostly sampling Rayleigh-Jeans tail of spectrum. Here we quantify these by simulating different blackbodies, them various realistic measurement errors, and re-fitting blackbodies...

The Dantzig selector (Candes and Tao, 2007) is a new approach that has been proposed for performing variable selection and model fitting on linear regression models. It uses an L1 penalty to shrink the regression coefficients towards zero, in a similar fashion to the Lasso. While both the Lasso and Dantzig selector potentially do a good job of selecting the correct variables, several researcher...