Harmonic noise hacks.

akvo/tressel/harmonic.py

     f02 = guessf0(sN, fs)
     print("minHarmonic", f0, fs, nK, " guess=", f02)
     # CG, BFGS, Newton-CG, L-BFGS-B, TNC, SLSQP, dogleg, trust-ncg, trust-krylov, trust-exact and trust-constr
-    res = minimize(harmonicNorm, np.array((f0)), args=(sN, fs, nK, t), jac='2-point', method='BFGS') #, jac=jacEuler) #, hess=None, bounds=None )
+    res = minimize(harmonicNorm, np.array((f02)), args=(sN, fs, nK, t), jac='2-point', method='BFGS') #, jac=jacEuler) #, hess=None, bounds=None )
     print(res)
     return harmonicEuler(res.x[0], sN, fs, nK, t)#[0]
 

akvo/tressel/mrsurvey.py

                                 label = "orig " +  pulse + " ipm=" + str(ipm) + " istack=" + str(istack) + " rchan="  + str(ichan))
 
                         self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
-                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-.25, f0+.25, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
+                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f0+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 30, self.DATADICT[pulse]["TIMES"] ) 
 
                         # plot
                         if plot:
                                 label = "orig " +  pulse + " ipm=" + str(ipm) + " istack=" + str(istack) + " chan="  + str(ichan))
                         
                         self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
-                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-.25, f0+.25, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
+                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f0+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 30, self.DATADICT[pulse]["TIMES"] ) 
                         #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.harmonicEuler( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
                
                         # plot

setup.py

     long_description = fh.read()
 
 setup(name='Akvo',
-      version='1.0.22',
+      version='1.0.23',
       description='Surface nuclear magnetic resonance workbench',
       long_description=long_description,
       long_description_content_type='text/markdown',