plt.close("all")
if True:
plt.rc("text", usetex=True)
plt.rc("font", family="sans-serif")
plt.rc("text", fontsize=8)
plt.rc("lines", linewidth=0.5)
fontsize = 8
figwidth = 3.25 # half of a two-column figure
figheight = 2.75
from EC_MS import Dataset, CyclicVoltammagram, load_calibration_results
mdict = load_calibration_results(
"20A25_calibration_results.pkl"
) # 20A25 calibration is more trustworthy than 20A31!
CO2_M44, CO2_M46, CO2_M48 = mdict["CO2_M44"], mdict["CO2_M46"], mdict["CO2_M48"]
O2_M32, O2_M34, O2_M36 = mdict["O2_M32"], mdict["O2_M34"], mdict["O2_M36"]
H2, CO, He = mdict["H2"], mdict["CO"], mdict["He"]
H2.F_cal = 2 # what it god damn should be. More accurate than that measured in calibration.py because of the tilt.
H2.cal_mat = {
"M2": 1 / H2.F_cal,
"M4": -0.0007 / H2.F_cal,
} # gets rid of the background due to He double-ionization
# r = 0.0040
dataset = Dataset("./pickles/20A31_18O_01.pkl")
from EC_MS import download_cinfdata_set, plot_signal, plot_signal_vs_temperature, compare_signal_to_temperature
from EC_MS import load_calibration_results
from EC_MS import plot_flux
plt.close('all')
data = download_cinfdata_set(setup='microreactorNG',
time='2019-06-25 09:52:30')
#plot_signal(data, leg=True, meta_data=['TC temperature'], rh_label='Temperature [C]')
#plot_signal_vs_temperature(data, leg=True, reciprocal=True)
compare_signal_to_temperature(MS_data=data)
plt.show()
exit()
mdict = load_calibration_results('19F04_calibration.pkl')
O2, CO2, CO, Ar = mdict['O2'], mdict['CO2'], mdict['CO'], mdict['Ar']
if True: # take background from CO2 cracking into account when calculating CO flux
# NOTE below on why cal_mat is used exactly this way.
CO.cal_mat = {'M28': 1 / CO.F_cal}
CO.cal_mat[
'M44'] = -CO.cal_mat['M28'] * CO2.spectrum['M28'] / CO2.spectrum['M44']
#plot_flux(data, mols=[O2, CO2, CO, Ar], unit='pmol/s')
CO2.get_bg(data, tspan=[0, 100])
tspan = [11000, 14000]
x, y = CO2.get_flux(data, tspan=tspan, background='preset', unit='pmol/s')
plt.rc("text", usetex=True)
plt.rc("font", family="sans-serif")
plt.rc("font", size=8)
plt.rc("lines", linewidth=0.5)
fontsize = 8
figwidth = 3.25 # half of a two-column figure
figheight = 2.75
from EC_MS import plot_vs_potential, plot_experiment, sync_metadata, cut_dataset
from EC_MS import load_calibration_results, point_calibration, correct_shunt
from EC_MS import get_signal
plt.close("all")
mdict = load_calibration_results("20A31_calibration_results.pkl")
CO2_M44, CO2_M46, CO2_M48 = mdict["CO2_M44"], mdict["CO2_M46"], mdict["CO2_M48"]
H2, CO, He = mdict["H2"], mdict["CO"], mdict["He"]
H2.F_cal = 2 # what it god damn should be. More accurate than that measured in calibration.py because of the tilt.
H2.cal_mat = {
"M2": 1 / H2.F_cal,
"M4": -0.0007 / H2.F_cal,
} # gets rid of the background due to He double-ionization
with open("./pickles/20A31_18O_01.pkl", "rb") as f:
data = pickle.load(f)
V_str, J_str = sync_metadata(
data, RE_vs_RHE=0.715, A_el=0.196 # *1e-3, J_str='J / [$\mu$A cm$^{-1}$]'
)
t_str = "time/s"
"""
Created on Thu Jun 6 12:52:13 2019
@author: scott
"""
from matplotlib import pyplot as plt
from EC_MS import download_cinfdata_set, plot_signal
from EC_MS import chip_calibration, point_calibration, recalibrate
from EC_MS import load_calibration_results, save_calibration_results
plt.close('all')
mdict = load_calibration_results('19B22_calibration.pkl')
O2 = mdict['O2']
data = download_cinfdata_set(setup='microreactorNG', time='2019-06-04 17:29:26')
plot_signal(data, leg=True)
chip = chip_calibration(data, mol=O2, gas='O2', composition=1, chip='microreactor', tspan=[8200, 8350])
chip.save('MR12')
print('\nAir flux through the chip in mol/s: ' + str(chip.capillary_flow(gas='air') / 6.02e23))
