Training Set Maker

The Training Set Maker pipeline uses LSDB to perform spatial cross-matching between a pre-registered Redshift Catalog and the LSST Objects catalog in order to create training sets for machine-learning based photo-z algorithms.

1. Training set name:*

2. Description (optional):

3. Select the Redshift Catalog for the cross-matching:

4. Select the Objects catalog (photometric data):
Flux type:
Apply dereddening from dustmaps:

5. Select the cross-matching configuration choices:

The threshold distance in arcseconds beyond which neighbors are not added:

The number of neighbors to find within each point:

Convert fluxes into magnitudes:
6. Select unique galaxies(soon)
7. Output format: