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20152026
most citedPhotometric Supernova Classification With Machine Learning

197 citations · 1.3k across the 38 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

astro-ph.IM2019★ 13 cited

Enhancing LSST Science with Euclid Synergy

P. Capak, J-C. Cuillandre, F. Bernardeau +23

This white paper is the result of the Tri-Agency Working Group (TAG) appointed to develop synergies between missions and is intended to clarify what LSST observations are needed in…

astro-ph.IM2019★ 1 cited

Mini-survey of the northern sky to Dec <+30

P. Capak, D. Sconlic, J-C. Cuillandre +25

We propose an extension of the LSST survey to cover the northern sky to DEC < +30 (accessible at airmass <1.8). This survey will increase the LSST sky coverage by ~9,600 square deg…

astro-ph.CO2019★ 5 cited

Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Jeffrey A. Newman, Jonathan Blazek, Nora Elisa Chisari +14

Community access to deep (i ~ 25), highly-multiplexed optical and near-infrared multi-object spectroscopy (MOS) on 8-40m telescopes would greatly improve measurements of cosmologic…

astro-ph.CO2019★ 5 cited

Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Rachel Mandelbaum, Jonathan Blazek, Nora Elisa Chisari +12

LSST will open new vistas for cosmology in the next decade, but it cannot reach its full potential without data from other telescopes. Cosmological constraints can be greatly enhan…

stat.ML2019★ 11 cited

Bayesian Anomaly Detection and Classification

Ethan Roberts, Bruce A. Bassett, Michelle Lochner

Statistical uncertainties are rarely incorporated in machine learning algorithms, especially for anomaly detection. Here we present the Bayesian Anomaly Detection And Classificatio…

astro-ph.IM2019★ 36 cited

The Role of Machine Learning in the Next Decade of Cosmology

Michelle Ntampaka, Camille Avestruz, Steven Boada +27

In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…