262 citations · 1.8k across the 75 of their papers we have counts for
6 papers · 1 filter
Estimating Cosmological Parameters from the Dark Matter Distribution
Siamak Ravanbakhsh, Junier Oliva, Sebastien Fromenteau +4
A grand challenge of the 21st century cosmology is to accurately estimate the cosmological parameters of our Universe. A major approach to estimating the cosmological parameters is…
Detecting Damped Lyman- Absorbers with Gaussian Processes
Roman Garnett, Shirley Ho, Simeon Bird +1
We develop an automated technique for detecting damped Lyman- absorbers (DLAs) along spectroscopic lines of sight to quasi-stellar objects (QSOs or quasars). The detection of DL…
Dynamical Mass Measurements of Contaminated Galaxy Clusters Using Machine Learning
M. Ntampaka, H. Trac, D. J. Sutherland +3
We study dynamical mass measurements of galaxy clusters contaminated by interlopers and show that a modern machine learning (ML) algorithm can predict masses by better than a facto…
A Machine Learning Approach for Dynamical Mass Measurements of Galaxy Clusters
Michelle Ntampaka, Hy Trac, Danica J. Sutherland +3
We present a modern machine learning approach for cluster dynamical mass measurements that is a factor of two improvement over using a conventional scaling relation. Different meth…
A First Look at creating mock catalogs with machine learning techniques
Xiaoying Xu, Shirley Ho, Hy Trac +3
We investigate machine learning (ML) techniques for predicting the number of galaxies (N_gal) that occupy a halo, given the halo's properties. These types of mappings are crucial f…
Determining Frequentist Confidence Limits Using a Directed Parameter Space Search
Scott F. Daniel, Andrew J. Connolly, Jeff Schneider
We consider the problem of inferring constraints on a high-dimensional parameter space with a computationally expensive likelihood function. We propose a machine learning algorithm…