activity
20182020
most citedProbing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

31 citations · 31 across the 2 of their papers we have counts for

collaborators

6 papers

hep-ph2020

Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

G. Brooijmans, A. Buckley, S. Caron +87

This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities includ…

astro-ph.IM2019

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era

Brian Nord, Andrew J. Connolly, Jamie Kinney +35

The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical mode…

astro-ph.CO201931 cited

Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Alex Drlica-Wagner, Yao-Yuan Mao, Susmita Adhikari +97

Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST…

astro-ph.HE2018

Transfer Learning in Astronomy: A New Machine-Learning Paradigm

Ricardo Vilalta

The widespread dissemination of machine learning tools in science, particularly in astronomy, has revealed the limitation of working with simple single-task scenarios in which any…

cs.LG2018

A General Approach to Domain Adaptation with Applications in Astronomy

Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber +1

The ability to build a model on a source task and subsequently adapt such model on a new target task is a pervasive need in many astronomical applications. The problem is generally…

astro-ph.CO2018

Stress testing the dark energy equation of state imprint on supernova data

Ben Moews, Rafael S. de Souza, Emille E. O. Ishida +4

This work determines the degree to which a standard Lambda-CDM analysis based on type Ia supernovae can identify deviations from a cosmological constant in the form of a redshift-d…