-
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
We present Tails, an open-source deep-learning framework for the identif...
02/26/2021 ∙ by Dmitry A. Duev, et al. ∙
9
∙
share
read it
-
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
The Transiting Exoplanet Survey Satellite (TESS) has now been operationa...
01/22/2021 ∙ by Sriram Rao, et al. ∙
15
∙
share
read it
-
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
11/26/2019 ∙ by E. A. Huerta, et al. ∙
0
∙
share
read it
-
Eliminating artefacts in Polarimetric Images using Deep Learning
Polarization measurements done using Imaging Polarimeters such as the Ro...
11/19/2019 ∙ by Dhruv Paranjpye, et al. ∙
16
∙
share
read it
-
New methods to assess and improve LIGO detector duty cycle
A network of three or more gravitational wave detectors simultaneously t...
10/26/2019 ∙ by Ayon Biswas, et al. ∙
0
∙
share
read it
-
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
02/01/2019 ∙ by Gabrielle Allen, et al. ∙
0
∙
share
read it
-
Effective Image Differencing with ConvNets for Real-time Transient Hunting
Large sky surveys are increasingly relying on image subtraction pipeline...
10/04/2017 ∙ by Nima Sedaghat, et al. ∙
0
∙
share
read it
-
Deep-Learnt Classification of Light Curves
Astronomy light curves are sparse, gappy, and heteroscedastic. As a resu...
09/19/2017 ∙ by Ashish Mahabal, et al. ∙
0
∙
share
read it
