DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multi-resolution Images

Understand

We present DELIGHT, or Deep Learning Identification of Galaxy Hosts of Transients, a new algorithm designed to automatically and in real-time identify the host galaxies of extragalactic transients.

• The proposed algorithm receives as input compact, multi-resolution images centered at the position of a transient candidate and outputs two-dimensional offset vectors that connect the transient with the center of its predicted host.
• The multi-resolution input consists of a set of images with the same number of pixels, but with progressively larger pixel sizes and fields of view.
• A sample of \nSample galaxies visually identified by the ALeRCE broker team was used to train a convolutional neural network regression model.