vc.inclMin = 10 # if set to 0 will not add values close to 0 Ib folder1 = fname + 'ON//' vc.filein1 = folder1 + fname + 'CovMat_cI1I1.mtx' vc.filein2 = folder1 + fname + 'CovMat_cQ1Q1.mtx' vc.filein3 = folder1 + fname + 'CovMat_cI2I2.mtx' vc.filein4 = folder1 + fname + 'CovMat_cQ2Q2.mtx' vc.filein6 = folder1 + fname + 'CovMat_cI1I2.mtx' vc.filein7 = folder1 + fname + 'CovMat_cI1Q2.mtx' vc.filein8 = folder1 + fname + 'CovMat_cQ1I2.mtx' vc.filein9 = folder1 + fname + 'CovMat_cQ1Q2.mtx' vc.filein10 = folder1 + fname + 'CovMat_cI1Q1.mtx' vc.filein11 = folder1 + fname + 'CovMat_cI2Q2.mtx' vc.filein5 = fname + 'Vx1k.mtx' vc.RTR = 1012 * 1e3 # RT resistor for vc.load_and_go() crop_within = sn.find_nearest(vc.I, -6.0e-6), sn.find_nearest(vc.I, 6.0e-6) crop_outside = sn.find_nearest(vc.I, -19e-6), sn.find_nearest(vc.I, 20e-6) vc.crop = [crop_within, crop_outside] fname2 = '1150_' vc2 = sn.variable_carrier() vc2.resultfolder = fname2+'//' folder = '/Volumes/QDP-Backup-2/BenS/DCE2015-16/data_May20/' vc2.fifolder = folder vc2.snr = 4.5 vc2.cpt = 5 vc2.LP = 0.0 vc2.T = 0.007 vc2.Tn1 = 3.9 vc2.Tn2 = 4.6 vc2.G1 = 6.45e9
vc.resultfolder = 'f2//' pathf1 = '/Volumes/QDP-Backup-2/BenS/DCE2015-16/data_Jul15/1206_SN22_1/' savename = '1150_LogN.mtx' savename2 = '1150_ineqSq.mtx' vc.fifolder = '' vc.filein1 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI1I1.mtx' vc.filein2 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cQ1Q1.mtx' vc.filein3 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI2I2.mtx' vc.filein4 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cQ2Q2.mtx' vc.filein6 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI1I2.mtx' vc.filein7 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI1Q2.mtx' vc.filein8 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cQ1I2.mtx' vc.filein9 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cQ1Q2.mtx' vc.filein10 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI1Q1.mtx' vc.filein11 = pathf1 + '1206_SN22_1ON//1206_SN22_1CovMat_cI2Q2.mtx' vc.filein5 = pathf1 + '1206_SN22_1Vx1k.mtx' vc.RTR = 1012 * 1e3 # RT resistor for vc.load_and_go() # create crop vector for the fitting crop_within = SNfit.find_nearest(vc.I, -6.0e-6), SNfit.find_nearest(vc.I, 6.0e-6) print 'crop_within', crop_within crop_outside = SNfit.find_nearest(vc.I, -19e-6), SNfit.find_nearest(vc.I, 20e-6) print 'crop_outside', crop_outside vc.crop = [crop_within, crop_outside] print 'vc.crop', vc.crop snd, r1, r2, r3, r4 = SNfit.DoSNfits(vc, True) # run fits
