.. lsst-task-topic:: lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsTask ######################## LoadReferenceObjectsTask ######################## Implementations must subclass this class, override the loadSkyCircle method, and will typically override the value of ConfigClass with a task-specific config class. ``LoadReferenceObjectsTask`` acts as an abstract base class for tasks that load objects from a reference catalog in a particluar region of sky. .. _lsst.meas.algorithms.LoadReferenceObjectsTask-api: Python API summary ================== .. lsst-task-api-summary:: lsst.meas.algorithms.LoadReferenceObjectsTask .. _lsst.meas.algorithms.LoadReferenceObjectsTask-subtasks: Retargetable subtasks ===================== .. lsst-task-config-subtasks:: lsst.meas.algorithms.LoadReferenceObjectsTask .. _lsst.meas.algorithms.LoadReferenceObjectsTask-configs: Configuration fields ==================== .. lsst-task-config-fields:: lsst.meas.algorithms.LoadReferenceObjectsTask .. _lsst.meas.algorithms.LoadReferenceObjectsTask-indepth: In Depth ======== Catalog Schema -------------- - ``coord``: ICRS position of star on sky (an ``lsst.geom.SpherePoint``) - ``centroid``: position of star on an exposure, if relevant (an ``lsst.afw.Point2D``) - ``hasCentroid``: is centroid usable? (a Flag) - ``_flux``: brightness in the specified reference catalog filter (nJy) Note: you can use astropy.units to convert from AB Magnitude to nJy: `u.Magnitude(value, u.ABmag).to_value(u.nJy)` - ``_fluxErr`` (optional): brightness standard deviation (nJy); omitted if no data is available; possibly nan if data is available for some objects but not others - ``camFlux``: brightness in default camera filter (nJy); omitted if `defaultFilter` not specified - ``camFluxErr``: brightness standard deviation for default camera filter; omitted if `defaultFilter` not specified or standard deviation not available that filter - ``_camFlux``: brightness in specified camera filter (nJy) - ``_camFluxErr`` (optional): brightness standard deviation in specified camera filter (nJy); omitted if no data is available; possibly nan if data is available for some objects but not others - ``photometric`` (optional): is the object usable for photometric calibration? (a Flag) - ``resolved`` (optional): is the object spatially resolved? (a Flag) - ``variable`` (optional): does the object have variable brightness? (a Flag) - ``coord_raErr``: uncertainty in `coord` along the direction of right ascension (radian, an Angle) = uncertainty in ra * cos(dec); nan if unknown - ``coord_decErr``: uncertainty in `coord` along the direction of declination (radian, an Angle); nan if unknown The following are optional; fields should only be present if the information is available for at least some objects. Numeric values are `nan` if unknown: - ``epoch``: date of observation as TAI MJD (day) - ``pm_ra``: proper motion along the direction of right ascension (rad/year, an Angle) = dra/dt * cos(dec) - ``pm_dec``: proper motion along the direction of declination (rad/year, and Angle) - ``pm_raErr``: uncertainty in `pm_ra` (rad/year) - ``pm_decErr``: uncertainty in `pm_dec` (rad/year) - ``pm_ra_dec_Cov``: covariance between pm_ra and pm_dec (rad2/year2) - ``pm_flag``: set if proper motion, error or covariance is bad - ``parallax``: parallax (rad, an Angle) - ``parallaxErr``: uncertainty in `parallax` (rad) - ``parallax_flag``: set if parallax value or parallaxErr is bad - ``coord_ra_pm_ra_Cov``: covariance between coord_ra and pm_ra (rad2/year) - ``coord_ra_pm_dec_Cov``: covariance between coord_ra and pm_dec (rad2/year) - ``coord_ra_parallax_Cov``: covariance between coord_ra and parallax (rad2/year) - ``coord_dec_pm_ra_Cov``: covariance between coord_dec and pm_ra (rad2/year) - ``coord_dec_pm_dec_Cov``: covariance between coord_dec and pm_dec (rad2/year) - ``coord_dec_parallax_Cov``: covariance between coord_dec and parallax (rad2/year) - ``pm_ra_parallax_Cov``: covariance between pm_ra and parallax (rad2/year) - ``pm_dec_parallax_Cov``: covariance between pm_dec and parallax (rad2/year)