Published January 27, 2022 | Version v1
Dataset Open

Dataset for: AutoSourceID-Light

  • 1. Radboud University

Description

This is the dataset used in the paper AutoSourceID-Light (paper) for Training, Test and Validation sets. AutoSourceID-Light (ASID-L) is an innovative framework that uses computer vision techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images. 

The dataset is made of 3 fields images taken with the MeerLICHT telescope: _20200601_191800_ (Omega Centauri globular cluster), _20210401_173445_(Fornax galaxy cluster) and _20210910_022724_ ('empty' CDF-S).

For each field, 2 files are provided: the optical image (_red_cosmics_nobkgsub.fits) and the catalog of EDR3 Gaia sources that match the location of the fields (_GaiaEDR3_cat_SNR_redimage.fits). 

If you use the dataset, please cite the appropriate DOIs.

Code available at https://github.com/FiorenSt/AutoSourceID-Light  (Zenodo repository)

Files

Files (1.4 GB)

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md5:c7d80ed4e981cbba3036861876e3efc9
30.3 MB Download
md5:15bc9c0fac571e8194e65ecd290e3cb5
446.1 MB Download
md5:dbb0bf716fec841213d26c8321b049f6
774.7 kB Download
md5:97f95b8153d075e72b3c476797a15dc6
446.1 MB Download
md5:9b1236bed313cc80e4152928fd3cc89e
728.6 kB Download
md5:f29d1100a2801f12199c5b03cc7f614b
446.1 MB Download