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Approximate Bayesian Computation in Large Scale Structure: constraining the galaxy-halo connection
ChangHoon Hahn, Mohammadjavad Vakili, Kilian Walsh +3
Standard approaches to Bayesian parameter inference in large scale structure assume a Gaussian functional form (chi-squared form) for the likelihood. This assumption, in detail, ca…
Constraints on Assembly Bias from Galaxy Clustering
Andrew R. Zentner, Andrew Hearin, Frank C. van den Bosch +2
We constrain the newly-introduced decorated Halo Occupation Distribution (HOD) model using SDSS DR7 measurements of projected galaxy clustering or r-band luminosity threshold sampl…
Forward Modeling of Large-Scale Structure: An open-source approach with Halotools
Andrew Hearin, Duncan Campbell, Erik Tollerud +11
We present the first stable release of Halotools (v0.2), a community-driven Python package designed to build and test models of the galaxy-halo connection. Halotools provides a mod…