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Table: des_dr1.sgsep_validation_masked_v3
(The bold columns are indexed columns)
| Column Name | Description | Datatype |
|---|---|---|
| adaboost_pgal | The star-galaxy classifier using a machine learning framework based on the scikit package, using the SExtractor outputs. Values closer to 1 correspond to galaxies, larger values correspond to stars | DOUBLE |
| adaboost_pgal_mof | The star-galaxy classifier using a machine learning framework based on the scikit package, using the MOF outputs. Values closer to 1 correspond to galaxies, larger values correspond to stars | DOUBLE |
| bpz_zmc | A MonteCarlo realization of the redshift of the source, obtained from its photometric redshift PDF from the BPZ code (Benitez 2000) | DOUBLE |
| class_star_i | SExtractors neural network star-galaxy classifier (Bertin & Arnouts 1998), measured on the i-band coadd image. 0 - extended. 1 - point source | DOUBLE |
| cm_t | A size estimator from the MOF pipeline, this is the parameter in the Gaussian mixture model corresponding to the trace of the unweighted second moments matrix | DOUBLE |
| cm_t_err | Error on CM_T | DOUBLE |
| coadd_objects_id | Y1A1 unique object ID | BIGINT |
| dec | Object Dec (J2000) | DOUBLE |
| flags_badregion | Flags indicating whether the object lies on a bad region as described in Drlica-Wagner et al. (2018). = 0 is a good choice to get rid of any spurious effects | SMALLINT |
| galsift_pgal_mof | The star-galaxy classifier using the machine learning method based on MultiClass (Soumagnac et al. 2015), using MOF outputs. Values closer to 1 correspond to galaxies, larger values correspond to stars | DOUBLE |
| mag_auto_g | Magnitude estimation in g, for an elliptical model based on the Kron radius [mag] | DOUBLE |
| mag_auto_i | Magnitude estimation in i, for an elliptical model based on the Kron radius [mag] | DOUBLE |
| mag_auto_r | Magnitude estimation in r, for an elliptical model based on the Kron radius [mag] | DOUBLE |
| mag_auto_z | Magnitude estimation in z, for an elliptical model based on the Kron radius [mag] | DOUBLE |
| magerr_auto_i | Uncertainty in g magnitude estimation, for an elliptical model based on the Kron radius [mag] | DOUBLE |
| modest_class | A discrete classifier for objects according to their extendedness, based on SPREAD_MODEL_I, see Drlica-Wagner et al. 2018, Sevilla-Noarbe et al. 2018 for details | SMALLINT |
| ra | Object RA (J2000) | DOUBLE |
| spread_model_i | Morphology based classifier based on comparison between a PSF versus exponential-PSF model. Values closer to 0 correspond to stars, larger values correspond to galaxies | DOUBLE |
| spreaderr_model_i | Uncertainty in morphology based classifier based on comparison between PSF versus exponential-PSF model | DOUBLE |
| wavg_spread_model_i | SPREAD MODEL using the weighted averaged values from single epoch detections | DOUBLE |
| wavgcalib_mag_psf_g | An estimate of the PSF magnitude in g, using a weighted average of the PSF magnitudes of the individual single epoch detections corresponding to this specific coadd detection (this means that some faint objects will not have a valid value) | DOUBLE |
| wavgcalib_mag_psf_i | An estimate of the PSF magnitude in i, using a weighted average of the PSF magnitudes of the individual single epoch detections corresponding to this specific coadd detection (this means that some faint objects will not have a valid value) | DOUBLE |
| wavgcalib_mag_psf_r | An estimate of the PSF magnitude in r, using a weighted average of the PSF magnitudes of the individual single epoch detections corresponding to this specific coadd detection (this means that some faint objects will not have a valid value) | DOUBLE |
| wavgcalib_mag_psf_z | An estimate of the PSF magnitude in z, using a weighted average of the PSF magnitudes of the individual single epoch detections corresponding to this specific coadd detection (this means that some faint objects will not have a valid value) | DOUBLE |
