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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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