Catalogues of spectroscopic redshifts by a Bayesian convolutional network
Authors/Creators
- 1. Faculty of Information Technology, Czech Technical University in Prague
- 2. Astronomical Institute, Czech Academy of Sciences; Faculty of Information Technology, Czech Technical University in Prague
Description
The "dr16q_superset_redshift.csv" file provides a catalogue of spectroscopic redshifts for spectra from the 16th data release of the Sloan Digital Sky Survey (SDSS) quasar superset catalogue. The redshifts are predicted by a Bayesian convolutional neural network named Bayesian SZNet so that we also can estimate a predictive uncertainty in the form of predictive entropy. The second "dr16q_superset_redshift_failures.csv" file contains spectra for which the Bayesian SZNet's predictions differ from the best available redshifts (the column denoted z) by more than 3000 km s−1 in terms of their velocity differences (such redshift estimations are called catastrophic failures). Therefore, the second file is a subset of the first one.
Both catalogues are released as CSV files with the following columns:
- plate: spectroscopic plate number;
- mjd: modified Julian day of the spectroscopic observation;
- fiberid: fiber ID number;
- z_pred: redshift predicted by Bayesian SZNet;
- z: best available redshift taken from z_vi, z_pipe, z_dr12q, z_dr7q_sch, z_dr6q_hw, and z_10k;
- source_z: the origin of the reported redshift in z;
- is_qso_final: flag indicating quasars to be included in the final catalogue;
- entropy: predictive entropy associated with the redshift prediction;
- z_pred_1 to z_pred_20: redshifts predictions from the 20 runs of Bayesian SZNet that can be used for redshift suggestions;
- z_vi: visual inspection redshift;
- z_pipe: SDSS automated pipeline redshift;
- zwarning: quality flag on the pipeline redshift estimate;
- z_dr12q: redshift taken from DR12Q visual inspection;
- z_dr7q_sch: redshift taken from DR7Q Schneider et al. (2010) catalogue;
- z_dr6q_hw: redshift taken from DR6 Hewett and Wild (2010) catalogue;
- z_10k: redshift from visual inspection in random set;
- z_pca: PCA-derived redshift from the redvsblue algorithm;
- z_qn: redshift from QuasarNET;
where columns z, source_z, is_qso_final, z_vi, z_pipe, zwarning, z_dr12q, z_dr7q_sch, z_dr6q_hw, z_10k, z_pca, and z_qn are taken from the 16th data release of the SDSS quasar superset catalogue.
Files
dr16q_superset_redshift.csv
Additional details
References
- Lyke B. W., et al., 2020, ApJS, 250, 8