"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)
freqfiles = hd.dir_read(freqdir)
freqData = hd.list_read(freqfiles, thickness=t, area=a)
cCompData = freqData[1]
print(cCompData)
landau.c = landau.c_calc(freqData, plot=1)
compensatedData, landau.pr = landau.c_compensation(cCompData)
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')
sampledir = join(dirname(realpath(__file__)), 'testData', 'hfo2_MFM')
freqdir = join(sampledir, 'H9_x9y4_1e4_freq')
freqfiles = hd.dir_read(freqdir)
freqdata = hd.list_read(freqfiles)
hfo2 = lf.LandauFull(thickness=13E-7, area=6579E-8)
hfo2.c = hfo2.c_calc(freqdata, plot=1)
hfo2.rho_calc(freqdata)
tempdir = join(sampledir, 'H9_x9y4_1e4_S3_temps')
tempfiles = hd.dir_read(tempdir)
tempdata = hd.list_read(tempfiles)
templkgdir = join(sampledir, 'H9_x9y4_1e4_S3_tempslkg')
templkgfiles = hd.dir_read(templkgdir)
hfo2.a0 = hfo2.a0_calc(tempdata)
# Following code plots a series of diff freq hystdata files on same plot
from os.path import join, dirname, realpath
plt.close('all')
testdatadir = join(dirname(dirname(realpath(__file__))), "tests", "testData")
freqdir = join(testdatadir, r"hfo2_MFM", "H9_x9y4_1e4_freq")
tempdir = join(testdatadir, r"hfo2_MFM", "H9_x9y4_1e4_S3_temps")
templkgdir = join(testdatadir, r"hfo2_MFM", "H9_x9y4_1e4_S3_tempslkg")
forcFile = join(testdatadir, r"hfo2_MFM", "H9_x9y4_1e4_forc",
"H9 die (9,4) 0Hz 4V 1Average Table1.tsv")
templkgfiles = hd.dir_read(templkgdir)
tempfiles = hd.dir_read(tempdir)
tempData = hd.list_read(tempfiles, templkgfiles)
freqfiles = hd.dir_read(freqdir)
freqData = hd.list_read(freqfiles)
hfo2 = lf.LandauFull(thickness=13E-7, area=6579E-8)
cCompData = freqData[0]
hfo2.c = hfo2.c_calc(freqData, plot=1)
compensatedData, hfo2.pr = hfo2.c_compensation(cCompData)
compensatedData.hyst_plot(plot_e=True)
hfo2.rho_calc(freqData)
hfo2.a0 = hfo2.a0_calc(tempData)
freqDataLkgComp = hd.list_read(freqfiles, templkgfiles)
cCompDataLkgComp = freqDataLkgComp[0]
@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')
RTWhiteAFORC = hd.HysteresisData(area=1E-4, thickness=255E-7)
#!/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)
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)
print(fit)