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 3π DR2 sky surveys. Altogether there are 4,849,607 quasars in the catalog from which 2,879,273 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" 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" 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