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Catalogue of Bayesian SZNet's spectroscopic redshift predictions

<p>The &quot;dr16q_superset_redshift.csv&quot; file provides a&nbsp;catalogue&nbsp;of spectroscopic redshift predictions for spectra from the <a href="https://www.sdss.org/dr16/algorithms/qso_catalog/">16th data release of the Sloan Digital Sky Survey (SDSS)&nbsp;quasar&nbsp;superset catalogue</a>&nbsp;<a href="https://ui.adsabs.harvard.edu/abs/2020ApJS..250....8L/abstract">(Lyke et al., 2020)</a>. Redshifts are predicted by a Bayesian convolutional neural network named Bayesian SZNet with associated predictive uncertainties&nbsp;in the form of predictive variances. The&nbsp;catalogue&nbsp;is&nbsp;released in the&nbsp;CSV format&nbsp;with the following columns:</p> <ul> <li><em>plate</em>: spectroscopic plate number;</li> <li><em>mjd</em>: modified Julian day of the spectroscopic observation;</li> <li><em>fiberid</em>: fiber identification number;</li> <li><em>z_pred</em>: redshift from&nbsp;Bayesian SZNet;</li> <li><em>variance</em>: predictive variance associated with redshift from Bayesian SZNet;</li> <li><em>z</em>: primary redshift;</li> <li><em>source</em><em>_z</em>:&nbsp;origin of the reported redshift in&nbsp;<em>z;</em></li> <li><em>is_qso_final</em>: flag indicating quasars included in the DR16Q <a href="https://ui.adsabs.harvard.edu/abs/2020ApJS..250....8L/abstract">(Lyke et al., 2020)</a>;</li> <li><em>z_vi</em>: redshift from visual inspection;</li> <li><em>z_pipe</em>: redshift from the SDSS&nbsp;pipeline;</li> <li><em>zwarning</em>: quality flag on the redshift from the SDSS pipeline;</li> <li><em>z_dr12q</em>: redshift&nbsp;from the&nbsp;DR12Q&nbsp;catalogue&nbsp;<a href="http://ui.adsabs.harvard.edu/abs/2017A%26A...597A..79P/abstract">(P&acirc;ris et al., 2017)</a>;</li> <li><em>z_dr7q_sch</em>: redshift&nbsp;from the DR7Q catalogue&nbsp;<a href="https://ui.adsabs.harvard.edu/abs/2010AJ....139.2360S/abstract">(Schneider et al., 2010)</a>;</li> <li><em>z_dr6q_hw</em>: redshift from&nbsp;the DR6&nbsp;catalogue&nbsp;<a href="https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.2302H/abstract">(Hewett and Wild, 2010)</a>;</li> <li><em>z_10k</em>: redshift from the random visual inspection of 10000 spectra in the DR16Q superset;</li> <li><em>z_pca</em>: redshift from the&nbsp;<a href="https://ascl.net/2106.017">redvsblue algorithm</a>;</li> <li><em>z_qn</em>:&nbsp;redshift from QuasarNET&nbsp;<a href="https://arxiv.org/abs/1808.09955">(Busca and Balland, 2018)</a>;</li> <li><em>z_pred_1</em> to <em>z_pred_256</em>: sampled redshifts from&nbsp;Bayesian SZNet;</li> </ul> <p>where&nbsp;columns&nbsp;<em>z</em>,&nbsp;<em>source_z</em>,&nbsp;<em>is_qso_final</em>,&nbsp;<em>z_vi</em>,&nbsp;<em>z_pipe</em>,&nbsp;<em>zwarning</em>,&nbsp;<em>z_dr12q</em>,&nbsp;<em>z_dr7q_sch</em>,&nbsp;<em>z_dr6q_hw</em>,&nbsp;<em>z_10k</em>,&nbsp;<em>z_pca</em>, and&nbsp;<em>z_qn</em>&nbsp;are taken from the 16th data release of the SDSS&nbsp;quasar superset catalogue.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
20
Reuse readiness
8
Engagement
4