Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
Zechang Sun, Yuan-Sen Ting, Zheng Cai · Zenodo (CERN European Organization for Nuclear Research) · 2023
Dataset used in Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis [arXiv: 2211.11784]. This dataset will be helpful to validate different continuum prediction model and study absorption systems. The descriptions of individual files can be found here: sdss-dr16.tar.gz : continuum prediction for ~100,000 quasar spectra from SDSS DR16, see Section 3.1 in arXiv:211.11784; sdss-mock-with-dla-with-perturb.tar.gz : ~150,000 mock quasar spectra to validate QFA performance with perturbation on quasar continuum from PCA template, see Section 3.2 in arXiv:211.11784; sdss-mock-with-dla-without-perturb.tar.gz: ~150,000 mock quasar spectra to validate QFA performance with quasar continuum directly from PCA template, see Section 3.2 in arXiv:211.11784.