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This research was supported by the Dutch Research Council (NWO) through Vici research program 'ARGO' with project number 639.043.815 and through CORTEX (NWA.1160.18.316), under the research programme NWA-ORC.
This is a data package accompanying the paper "DeepGlow: an efficient neural-network emulator of physical afterglow models for gamma-ray bursts and gravitational-wave events".
gravitational waves, gamma-ray bursts, deep learning, neural networks
gravitational waves, gamma-ray bursts, deep learning, neural networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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