most citedHost Galaxy Identification for Supernova Surveys

105 citations · 169 across the 2 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2016★ 105 cited

Host Galaxy Identification for Supernova Surveys

Ravi R. Gupta, Steve Kuhlmann, Eve Kovacs +57

Host galaxy identification is a crucial step for modern supernova (SN) surveys such as the Dark Energy Survey (DES) and the Large Synoptic Survey Telescope (LSST), which will disco…

astro-ph.HE2016

A Dark Energy Camera Search for Missing Supergiants in the LMC After the Advanced LIGO Gravitational Wave Event GW150914

J. Annis, M. Soares-Santos, E. Berger +104

The collapse of the core of a star is expected to produce gravitational radiation. While this process will usually produce a luminous supernova, the optical signatue could be sublu…

astro-ph.CO2016

A Dark Energy Camera Search for an Optical Counterpart to the First Advanced LIGO Gravitational Wave Event GW150914

M. Soares-Santos, R. Kessler, E. Berger +112

We report initial results of a deep search for an optical counterpart to the gravitational wave event GW150914, the first trigger from the Advanced LIGO gravitational wave detector…

astro-ph.CO2016

SDSS-II Supernova Survey: An Analysis of the Largest Sample of Type Ia Supernovae and Correlations with Host-Galaxy Spectral Properties

Rachel C. Wolf, Chris B. D'Andrea, Ravi R. Gupta +13

Using the largest single-survey sample of Type Ia supernovae (SNe Ia) to date, we study the relationship between properties of SNe Ia and those of their host galaxies, focusing pri…

astro-ph.IM2015

The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey

R. Kessler, J. Marriner, M. Childress +60

We describe the difference imaging pipeline (DiffImg) used to detect transients in deep images from the Dark Energy Survey Supernova program (DES-SN) in its first observing season…

astro-ph.IM2015

Automated Transient Identification in the Dark Energy Survey

D. A. Goldstein, C. B. D'Andrea, J. A. Fischer +64

We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. T…