def characterize_psf(self):
        """ Get support size and drift polynomial for current set of params """
        # there may be an issue with the support and characterization--
        # it might be best to do the characterization with the same support
        # as the calculated psf.
        l,u = max(self.zrange[0], self.param_dict['psf-zslab']), self.zrange[1]

        size_l, drift_l = self.measure_size_drift(l)
        size_u, drift_u = self.measure_size_drift(u)

        # must be odd for now or have a better system for getting the center
        self.support = util.oddify(2*self.support_factor*size_u.astype('int'))
        self.drift_poly = np.polyfit([l, u], [drift_l, drift_u], 1)

        if self.cutoffval is not None:
            psf, vec, size_l = self.psf_slice(l, size=51, zoffset=drift_l, getextent=True)
            psf, vec, size_u = self.psf_slice(u, size=51, zoffset=drift_u, getextent=True)

            ss = [np.abs(i).sum(axis=-1) for i in [size_l, size_u]]
            self.support = util.oddify(util.amax(*ss))
def characterize_psf(self):
        """ Get support size and drift polynomial for current set of params """
        # there may be an issue with the support and characterization--
        # it might be best to do the characterization with the same support
        # as the calculated psf.
        l,u = max(self.zrange[0], self.param_dict['psf-zslab']), self.zrange[1]

        size_l, drift_l = self.measure_size_drift(l)
        size_u, drift_u = self.measure_size_drift(u)

        # must be odd for now or have a better system for getting the center
        self.support = util.oddify(2*self.support_factor*size_u.astype('int'))
        self.drift_poly = np.polyfit([l, u], [drift_l, drift_u], 1)

        if self.cutoffval is not None:
            psf, vec, size_l = self.psf_slice(l, size=51, zoffset=drift_l, getextent=True)
            psf, vec, size_u = self.psf_slice(u, size=51, zoffset=drift_u, getextent=True)

            ss = [np.abs(i).sum(axis=-1) for i in [size_l, size_u]]
            self.support = util.oddify(util.amax(*ss))
def characterize_psf ( self ) : # there may be an issue with the support and characterization-- # it might be best to do the characterization with the same support # as the calculated psf. l , u = max ( self . zrange [ 0 ] , self . param_dict [ 'psf-zslab' ] ) , self . zrange [ 1 ] size_l , drift_l = self . measure_size_drift ( l ) size_u , drift_u = self . measure_size_drift ( u ) # must be odd for now or have a better system for getting the center self . support = util . oddify ( 2 * self . support_factor * size_u . astype ( 'int' ) ) self . drift_poly = np . polyfit ( [ l , u ] , [ drift_l , drift_u ] , 1 ) if self . cutoffval is not None : psf , vec , size_l = self . psf_slice ( l , size = 51 , zoffset = drift_l , getextent = True ) psf , vec , size_u = self . psf_slice ( u , size = 51 , zoffset = drift_u , getextent = True ) ss = [ np . abs ( i ) . sum ( axis = - 1 ) for i in [ size_l , size_u ] ] self . support = util . oddify ( util . amax ( * ss ) )
Get support size and drift polynomial for current set of params
Get support size and drift polynomial for current set of params