906 citations · 7.2k across the 79 of their papers we have counts for
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A graph-based spectral classification of Type II supernovae
Rafael S. de Souza, Stephen Thorp, Lluís Galbany +5
Given the ever-increasing number of time-domain astronomical surveys, employing robust, interpretative, and automated data-driven classification schemes is pivotal. Based on graph…
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan +12
The recent increase in volume and complexity of available astronomical data has led to a wide use of supervised machine learning techniques. Active learning strategies have been pr…
A Template-Based Approach to the Photometric Classification of SN 1991bg-like Supernovae in the SDSS-II Supernova Survey
Daniel Perrefort, Yike Zhang, Lluís Galbany +2
The use of Type Ia Supernovae (SNe Ia) to measure cosmological parameters has grown significantly over the past two decades. However, there exists a significant diversity in the SN…
The High Cadence Transient Survey (HITS): Compilation and characterization of light-curve catalogs
Jorge Martínez-Palomera, Francisco Förster, Pavlos Protopapas +12
The High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic timescales between hours and days, such as pulsating, eclipsing and explod…
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
E. E. O. Ishida, R. Beck, S. Gonzalez-Gaitan +10
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy accounts for the unavoidable mismatch between spectroscop…
Spatial field reconstruction with INLA: Application to IFU galaxy data
S. González-Gaitán, R. S. de Souza, A. Krone-Martins +4
Astronomical observations of extended sources, such as cubes of integral field spectroscopy (IFS), encode auto-correlated spatial structures that cannot be optimally exploited by s…