Loading src/lsst_inaf_agile/catalog_agn.py +26 −10 Original line number Diff line number Diff line Loading @@ -740,6 +740,9 @@ class CatalogAGN: """ return_tau_sf_inf = kwargs.get("return_tau_sf_inf", False) if not return_tau_sf_inf: # Short-circuit for non-AGN is_agn = self["is_agn"][i] if not is_agn: Loading @@ -751,7 +754,6 @@ class CatalogAGN: return np.load(filename) mjd = util.get_mjd_vec() kwargs.update( { "mjd0": 0.0, Loading @@ -767,8 +769,12 @@ class CatalogAGN: "seed": self._get_seed("get_lightcurve") + i, } ) logger.info(f"Estimating AGN lightcurve {i} {band}") logger.info(f"Estimating AGN lightcurve {i=} {band=} {kwargs=}") lc = lightcurve.get_lightcurve_agn(*args, **kwargs) if return_tau_sf_inf: tau, sf_inf = lc return tau, sf_inf logger.info(f"Writing AGN lightcurve {filename}") util.create_directory(filename) Loading Loading @@ -813,3 +819,13 @@ class CatalogAGN: if lc is None: return None return np.interp(mjd - mjd0, util.get_mjd_vec(), lc) def get_tau(self, band="lsst-r"): """Return the Damped Random Walk characteristic timescale tau.""" ret = self.get_lightcurve(0, band, return_tau_sf_inf=True) return ret[0] def get_sf_inf(self, band="lsst-r", divide_sf_inf_by_z1=False): """Return the Damped Random Walk parameter structure function at infinity.""" ret = self.get_lightcurve(0, band, return_tau_sf_inf=True, divide_sf_inf_by_z1=divide_sf_inf_by_z1) return ret[1] src/lsst_inaf_agile/lightcurve.py +3 −0 Original line number Diff line number Diff line Loading @@ -34,6 +34,7 @@ def get_lightcurve_agn( meanmag=None, lambda_rest=None, divide_sf_inf_by_z1=False, return_tau_sf_inf=False, ): """Return an AGN light-curve in flux units.""" # Initialize the time vector Loading Loading @@ -64,6 +65,8 @@ def get_lightcurve_agn( meanmag=meanmag, divide_sf_inf_by_z1=divide_sf_inf_by_z1, ) if return_tau_sf_inf: return tau, sf_inf # Convert from magnitudes to fluxes yy = util.mag_to_flux(yy) Loading Loading
src/lsst_inaf_agile/catalog_agn.py +26 −10 Original line number Diff line number Diff line Loading @@ -740,6 +740,9 @@ class CatalogAGN: """ return_tau_sf_inf = kwargs.get("return_tau_sf_inf", False) if not return_tau_sf_inf: # Short-circuit for non-AGN is_agn = self["is_agn"][i] if not is_agn: Loading @@ -751,7 +754,6 @@ class CatalogAGN: return np.load(filename) mjd = util.get_mjd_vec() kwargs.update( { "mjd0": 0.0, Loading @@ -767,8 +769,12 @@ class CatalogAGN: "seed": self._get_seed("get_lightcurve") + i, } ) logger.info(f"Estimating AGN lightcurve {i} {band}") logger.info(f"Estimating AGN lightcurve {i=} {band=} {kwargs=}") lc = lightcurve.get_lightcurve_agn(*args, **kwargs) if return_tau_sf_inf: tau, sf_inf = lc return tau, sf_inf logger.info(f"Writing AGN lightcurve {filename}") util.create_directory(filename) Loading Loading @@ -813,3 +819,13 @@ class CatalogAGN: if lc is None: return None return np.interp(mjd - mjd0, util.get_mjd_vec(), lc) def get_tau(self, band="lsst-r"): """Return the Damped Random Walk characteristic timescale tau.""" ret = self.get_lightcurve(0, band, return_tau_sf_inf=True) return ret[0] def get_sf_inf(self, band="lsst-r", divide_sf_inf_by_z1=False): """Return the Damped Random Walk parameter structure function at infinity.""" ret = self.get_lightcurve(0, band, return_tau_sf_inf=True, divide_sf_inf_by_z1=divide_sf_inf_by_z1) return ret[1]
src/lsst_inaf_agile/lightcurve.py +3 −0 Original line number Diff line number Diff line Loading @@ -34,6 +34,7 @@ def get_lightcurve_agn( meanmag=None, lambda_rest=None, divide_sf_inf_by_z1=False, return_tau_sf_inf=False, ): """Return an AGN light-curve in flux units.""" # Initialize the time vector Loading Loading @@ -64,6 +65,8 @@ def get_lightcurve_agn( meanmag=meanmag, divide_sf_inf_by_z1=divide_sf_inf_by_z1, ) if return_tau_sf_inf: return tau, sf_inf # Convert from magnitudes to fluxes yy = util.mag_to_flux(yy) Loading