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Transformer-based Neural Network for Transient Detection without Image Subtraction

  • Authors: A. Inada, M. Sako, T. Acero-Cuellar, F. Bianco

A. Inada et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 7.

Fake recovery rate (true-positive rate) analysis on the no-Diff dataset. (Left) Fake recovery rate as a function of SN magnitude. Bins with at least 25 samples are shown. (Right) Fake recovery rate as a function of flux ratio. The flux ratio is defined as ﹩\,\rm{clip}\,\left(0,1,\frac{{f}_{d}}{{f}_{t}+{f}_{sn}}\right)﹩, where fd and ft are fluxes of 5 by 5 center grids centered on the SN in the difference and template images, respectively.

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