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Photometric redshifts for quasars from WISE-PS1-STRM

<p>Photometric redshift estimations for quasars</p> <p>In this repository we publish our photometric redshift catalogue of quasar candidates found in the cross-matched catalogue of the WISE All-Sky and PS1 3&pi;&nbsp;DR2 sky surveys. Altogether there are 4,849,607&nbsp;quasars in the catalog from which 2,879,273&nbsp;are covered by our training set. When using this data please cite our work<br> https://doi.org/10.48550/arXiv.2206.01440. Below you can find the description of each column:</p> <ul> <li><strong>objID_PS1</strong>: object id in the PanSTARRS DR2 catalogue</li> <li><strong>raMean</strong>: rectascension of the object</li> <li><strong>decMean</strong>: declination of the object</li> <li><strong>w1mpro</strong>: PSF profile-fitting magnitude measured in WISE W1 filter</li> <li><strong>w1sigmpro</strong>: error estimation of w1mpro</li> <li><strong>w1mag</strong>: aperture magnitude related to 8.25&quot; radius circular apertures measured in WISE W1 filter</li> <li><strong>w1sigm</strong>: error estimation of w1mag</li> <li><strong>w2mpro</strong>: PSF profile-fitting magnitude measured in WISE W2 filter</li> <li><strong>w2sigmpro</strong>: error estimation of w2mpro</li> <li><strong>w2mag</strong>: aperture magnitude related to 8.25&quot; radius circular apertures measured in WISE W2 filter</li> <li><strong>w2sigm</strong>: error estimation of w2mag</li> <li><strong>gFPSFMag</strong>: PSF profile-fitting magnitude measured in PS1 g filter</li> <li><strong>gFPSFMagErr</strong>: error estimation of gFPSFMag</li> <li><strong>rFPSFMag</strong>: PSF profile-fitting magnitude measured in PS1 r filter</li> <li><strong>rFPSFMagErr</strong>: error estimation of rFPSFMag</li> <li><strong>iFPSFMag</strong>: PSF profile-fitting magnitude measured in PS1 i filter</li> <li><strong>iFPSFMagErr</strong>: error estimation of iFPSFMag</li> <li><strong>zFPSFMag</strong>: PSF profile-fitting magnitude measured in PS1 z filter</li> <li><strong>zFPSFMagErr</strong>: error estimation of zFPSFMag</li> <li><strong>yFPSFMag</strong>: PSF profile-fitting magnitude measured in PS1 y filter</li> <li><strong>yFPSFMagErr</strong>: error estimation of yFPSFMag</li> <li><strong>gFKronMag</strong>: Kron magnitude measured in PS1 g filter</li> <li><strong>gFKronMagErr</strong>: error estimation of gFKronMag</li> <li><strong>rFKronMag</strong>: Kron magnitude measured in PS1 r filter</li> <li><strong>rFKronMagErr</strong>: error estimation of rFKronMag</li> <li><strong>iFKronMag</strong>: Kron magnitude measured in PS1 i filter</li> <li><strong>iFKronMagErr</strong>: error estimation of iFKronMag</li> <li><strong>zFKronMag</strong>: Kron magnitude measured in PS1 z filter</li> <li><strong>zFKronMagErr</strong>: error estimation of zFKronMag</li> <li><strong>yFKronMag</strong>: Kron magnitude measured in PS1 y filter</li> <li><strong>yFKronMagErr</strong>: error estimation of yFKronMag</li> <li><strong>EBV_PS1</strong>: E(B-V) dust extinction values</li> <li><strong>EXT</strong>: flag denoting an object being extrapolated or not in the 12-dimensional color index space. It is 1 if the object is extrapolated and 0 if not.</li> <li><strong>DIST</strong>: average distance measured between the inference data points and their spectroscopic neighbors in the 12-dimensional color index space.</li> <li><strong>z_pred</strong>: photometric redshift estimation (predicted from color indices)</li> <li><strong>z_pred_std</strong>: uncertainty of z_pred</li> <li><strong>spectroz</strong>: spectroscopic redshift of the object if available and -999 otherwise</li> <li><strong>EXT2</strong>: flag denoting an object being extrapolated or not in the 13-dimensional color index+magnitude space. It is 1 if the object is extrapolated and 0 if not.</li> <li><strong>DIST2</strong>: average distance measured between the inference data points and their spectroscopic neighbors in the 13-dimensional color index+magnitude space.</li> <li><strong>z_pred2</strong>: photometric redshift estimation (predicted from color indices+magnitude)</li> <li><strong>z_pred_std2</strong>: uncertainty of z_pred2</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0