Foms

[elaird]

Hello,

Here are (a) some backward-compatible additions to the plotter; (b) a few calculables. If you guys would prefer that some of these calculables go into susycaf instead of supy, that's also fine with me.

Ted

[betchart]

Dear Ted,

What is a FOMS?

Burt

[elaird]

Dear Burt,

A figure of merit. One can use this to have columns such as s/b, s/sqrt(b), etc. in each yield table.

Ted

[gerbaudo]

Hi Ted and Burt,

I have tried it with two foms, and it works nicely. One needs to import the relevant modules to define the foms (either within the lambda or within the analysis file).

supy.plotter(...,
             foms = [{'value': lambda x, y: x/y,                                                       
                        'uncRel': lambda x, y, xUnc, yUnc: __import__('math').sqrt((xUnc/x)**2 + (yUnc/y)**2),                                                                                                         
                        'label': lambda x, y:"%s/%s" % (x, y),                                           
                        },                                                                               
                        {'value': lambda x, y: x/__import__('math').sqrt(y),                              
                         'uncRel': lambda x, y, xUnc, yUnc: __import__('math').sqrt(0.25*(xUnc/x)**2 + (yUnc/y)**2),                                                                                                    
                         'label': lambda x, y:"%s/sqrt(%s)" % (x, y),                                     
                        }]

Nice, thanks for implementing this!

Davide

[betchart]

Sounds good to me.