ASTROMER: A transformer-based embedding for the representation of light curves. (arXiv:2205.01677v3 [astro-ph.IM] UPDATED)

Taking inspiration from natural language embeddings, we present ASTROMER, a
transformer-based model to create representations of light curves. ASTROMER was
pre-trained in a self-supervised manner, requiring no human-labeled data. We
used millions of R-band light sequences to adjust the ASTROMER weights. The
learned representation can be easily adapted to other surveys by re-training
ASTROMER on new sources. The power of ASTROMER consists of using the
representation to extract light curve embeddings that can enhance the training
of other models, such …

arxiv astro embedding light representation transformer