[LSST|dm-users 648] Re: List/Description of Available Algorithm Names

[Will Dawson]

OK it looks like some of what I may want are in meas_modelfit, meas_extensions_shapeHSM, and meas_extesions_photometryKron repositories. It looks like meas_modelfit is installed with a common `eups disturb install last_apps`.

— Are there eups distributions for the extensions or should I clone the github repositories and associate them with the loadLSST.bash some how?

I also realized that I should be using lsst.meas.base instead of lsst.meas.algorithms and thus SingleFrameMeasurementConfig rather than SourceMeasurementConfig (a previous suggestion by Jim makes sense now). And on a related note I guess I should something like:

measureConfig = SingleFrameMeasurementConfig()
measureConfig.algorithms.names = [‘base_SdssShape’]

where ‘base_SdssShape’ has been used rather than ‘shape.sdss’.

— Is all of this correct?
— If so then what algorithms.names should I use if I want to specify meas_modelfit or one of the extensions? I don’t a plugins.py file in these repositories like I do in meas_base.

Thank you,
Will

> On May 12, 2015, at 12:08 PM, Will Dawson <will at dawsonresearch.com> wrote:
> 
> Is there a way (preferably easy) for me to see what measurement algorithm names are available? For example, thanks to Chris’ ipython notebooks I know that I can do things like:
> 
> schema = afwTable.SourceTable.makeMinimalSchema()
> measureSourcesConfig = measAlg.SourceMeasurementConfig()
> measureSourcesConfig.algorithms.names = ['shape.sdss']
> 
> But I want to step beyond this MinimalSchema and algorithms. For example, I imagine that there are other algorithms such as the de Vaucouleur and exponential model fits used in SDSS (see e.g. https://www.sdss3.org/dr8/algorithms/classify.php <https://www.sdss3.org/dr8/algorithms/classify.php>). I would also like to implement the Multi-Fit algorithm <https://confluence.lsstcorp.org/display/LSWUG/Measurement+in+the+LSST+Stack#MeasurementintheLSSTStack-Multi-Fit>. I just don’t know how to specify them.
> 
> Any help would be greatly appreciated,
> Will
> 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.lsst.org/pipermail/dm-users/attachments/20150512/5d1754e6/attachment.html>