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A minor feature request here: being able to pass an arbitrary list of PyBDSM (.gaul) columns as an lsm.pybdsm_search argument and have the resulting Tigger model include them as custom tags would be very useful. Thanks.
The text was updated successfully, but these errors were encountered:
Exactly, that would be perfect. To give you some specifics, I'm looking for
a way to capture the peak fluxes and also the errors in the fits. I'm
deriving the master source list for the Stripe 82 survey using Pyxis /
PyBDSM / Tigger. Being able to visualise and graphically prune the source
catalogues by having them in Tigger format is awesome, and I'd like to be
able to propagate a few things that it doesn't capture by default into the
final table. Thanks.
OK, so to get this straight, you want to give it a list of column names
from among e.g.
Gaus_id Isl_id Source_id Wave_id RA E_RA DEC E_DEC Total_flux E_Total_flux
Peak_flux E_Peak_flux Xposn E_Xposn Yposn E_Yposn Maj E_Maj Min E_Min PA
E_PA DC_Maj E_DC_Maj DC_Min E_DC_Min DC_PA E_DC_PA Isl_Total_flux
E_Isl_Total_flux Isl_rms Isl_mean Resid_Isl_rms Resid_Isl_mean S_Code
...and have the values mapped to custom tags of the form column_name=value?
Reply to this email directly or view it on GitHubhttps://github.com//issues/3#issuecomment-36187281
.
A minor feature request here: being able to pass an arbitrary list of PyBDSM (.gaul) columns as an lsm.pybdsm_search argument and have the resulting Tigger model include them as custom tags would be very useful. Thanks.
The text was updated successfully, but these errors were encountered: