Schinke

Data for Main / Si / Schinke

import os
import matplotlib.pyplot as plt
import numpy as np
import refidx as ri

plt.style.use("../../doc/refidx.mplstyle")
db = ri.DataBase()
matid = ['main', 'Si', 'Schinke']
mat = db.get_item(matid)
wr = mat.wavelength_range
lamb = np.linspace(*wr, 1000)
index = mat.get_index(lamb)
fig, ax = plt.subplots(2, 1, figsize=(3, 3))
ax[0].plot(lamb, index.real, "-", color="#aa0044")
ax[1].plot(lamb, index.imag, "-", color="#6886b3")
ax[0].set_xlabel(r"Wavelength ($\rm μm$)")
ax[1].set_xlabel(r"Wavelength ($\rm μm$)")
ax[0].set_ylabel(r"$n^{\prime}$")
ax[1].set_ylabel(r"$n^{\prime\prime}$")
plt.suptitle(mat)
mat.print_info(
    html=True,
    tmp_dir=os.path.join("..","..", "doc", "auto_gallery","Si"),
    filename="out_main_Si_Schinke.html",
)

Comments

Relative uncertainties of the absorption coefficient: 0.4% at 0.250 µm, 11% at 0.6 µm, 1.4% at 1 µm, 12% at 1.2 µm and 180% at 1.45 µm. Temperature: 295 K.

References

1) C. Schinke, P. C. Peest, J. Schmidt, R. Brendel, K. Bothe, M. R. Vogt, I. Kröger, S. Winter, A. Schirmacher, S. Lim, H. T. Nguyen, D. MacDonald. Uncertainty analysis for the coefficient of band-to-band absorption of crystalline silicon. AIP Advances 5, 67168 (2015)
2) M. R. Vogt. Development of physical models for the simulation of optical properties of solar cell modules, PhD. Thesis (2015)

Estimated memory usage: 225 MB