if device == 3:
sampledir = join(testdatadir, 'FeFETD5', 'MFS+', 'die84')
freqdir = join(sampledir, "FeFETD5_die84_MFS+_60_20x20_freqs")
tempdir = join(sampledir, "FeFETD5_die84_MFS+_60_20x20_temps")
templkgdir = join(sampledir, "FeFETD5_die84_MFS+_60_20x20_lkg")
forcFile = join(
sampledir, "FeFETD5_die84_MFS+_60_20x20_FORC",
"FeFETD5_die68_MFS+_60_20x20_FORC_5V 0Hz 5V 1Average Table2.tsv")
t = 10E-7
a = 2.4E-4
aReal = 2.166E4 # includes effect of undercut during M1 etch
################
landau = lf.LandauFull(thickness=t, area=aReal)
templkgfiles = hd.dir_read(templkgdir)
if tempdir != None:
tempfiles = hd.dir_read(tempdir)
if leakageComp:
tempData = hd.list_read(tempfiles,
templkgfiles,
plot=False,
thickness=t,
area=a)
else:
tempData = hd.list_read(tempfiles, plot=False, thickness=t, area=a)
landau.a0 = landau.a0_calc(tempData)
Created on Mon Jun 12 10:45:02 2017
@author: Jackson
"""
import matplotlib.pyplot as plt
import numpy as np
from os.path import join, dirname, realpath
from context import models as lf
from context import data as hd
plt.close('all')
sampledir = join(dirname(realpath(__file__)), 'testData', 'RT WhiteA')
RTfreqDir = join(sampledir, 'RTWhiteAFreq')
RTfreqFiles = hd.dir_read(RTfreqDir)
RTfreqData = hd.list_read(RTfreqFiles)
RTfreq100hz = join(RTfreqDir, 'RT WhiteA 100Hz 8V 1Average Table1.tsv')
RT100data = hd.HysteresisData()
RT100data.tsv_read(RTfreq100hz)
RT100data.hyst_plot()
RTWhiteFilm = lf.LandauSimple(thickness=255E-7, area=1E-4)
RTWhiteFilm.c = RTWhiteFilm.c_calc(RTfreqData)
RT100compensated, RTWhiteFilm.pr = RTWhiteFilm.c_compensation(RT100data)
RT100compensated.hyst_plot()
forc_file = join(sampledir, 'RTWhiteAFORC',
'RT WhiteA 0Hz 7V 1Average Table7.tsv')
'FeFETD5_die82_MFS+_1_200x200_leakage'),
join(testdatadir, 'FeFETD5', 'MFS+', 'die82',
'FeFETD5_die82_MFS+_60_20x20_leakage'),
join(testdatadir, 'FeFETD5', 'MFS+', 'die82',
'FeFETD5_die82_MFS+_100_10x10_leakage'),
]
a = np.asarray([1E4, 4E4, 24000, 1E4])
p = np.asarray([400, 800, 4800, 4000])
# including undercut
a = np.asarray([9801, 39601, 21660, 8100])
p = np.asarray([396, 796, 4560, 3600])
c = []
for i, f in enumerate(freqdirs):
dcfiles = hd.dir_read(f)
lkgfile = hd.dir_read(lkgdirs[i])
# data = hd.list_read(dcfiles, lkgfile)
data = hd.list_read(dcfiles)
testfilm = lf.LandauFilm()
cde = testfilm.c_calc(data, plot=1)
c.append(cde)
c = np.asarray(c)
##including undercut
#a1 = .81*a
#p1 = .9*p
fit = np.polyfit(p, c / a, 1)
fit_fn = np.poly1d(fit)
#!/usr/bin/env python3
"""
Created on Fri May 26 12:50:08 2017
@author: Jackson
"""
import matplotlib.pyplot as plt
from os.path import join, dirname, realpath
from context import models as lf
from context import data as hd
plt.close('all')
discretecapdir = join(dirname(realpath(__file__)), 'testData', 'MDCref',
'mdc100pf')
files = hd.dir_read(discretecapdir)
data = hd.list_read(files)
testfilm = lf.LandauFilm()
cde = testfilm.c_calc(data, plot=1)
@author: Jackson
Tests fft_plot and bandstop_filter functions of HysteresisData
"""
import matplotlib.pyplot as plt
from os.path import join, dirname, realpath
from context import models as lf
from context import data as hd
plt.close('all')
sampledir = join(dirname(realpath(__file__)), 'testData', 'hfo2_MFM')
tempdir = join(sampledir, 'H9_x9y4_1e4_S3_temps')
tempfiles = hd.dir_read(tempdir)
templkgdir = join(sampledir, 'H9_x9y4_1e4_S3_tempslkg')
templkgfiles = hd.dir_read(templkgdir)
datafile = join(sampledir, 'H9_x9y4_1e4_S3_temps',
'H9 die (9,4) S3 79C 100Hz 3V 1Average Table3.tsv')
lkgfile = join(sampledir, 'H9_x9y4_1e4_S3_tempslkg',
'H9 die (9,4) S3 79C 2s step Table2.tsv')
data = hd.HysteresisData()
data.tsv_read(datafile)
ldata = hd.LeakageData()
ldata.lcm_read(lkgfile)
data.hyst_plot()
