Open AngusWright opened 4 years ago
Example stats:
SimpleSOM run_5bins {'SNR_ww': 252.65442996279617, 'SNR_gg': 1351.9975410515556, 'SNR_3x2': 1352.764455490629, 'FOM_3x2': 28973.699568005108}
SimpleSOM run_10bins {'SNR_ww': 254.59477957187315, 'SNR_gg': 1643.0217912858973, 'SNR_3x2': 1643.5489132300042, 'FOM_3x2': 55703.92224078966}
This method isn't optimised for SNR in any way. It is therefore reasonable to expect that the final bins do not encore the full information accessible to the method.
Simple SOM is, as the name suggests, a simplistic SOM tomographic-bin constructor.
This method is one which was discussed at the DESC Collaboration Meeting. It constructs a high-resolution Self-organising map (SOM) of the colour/magnitude space, and then associates cells of the SOM based on their colour or redshift (default) properties into N distinct groups. These N associations are then rank-ordered by their mean redshift, and are combined into num_bins tomgoraphic bins.
Example metrics will be posted below.