pytomography.utils.nist_data
#
Module Contents#
Functions#
|
Function used for curve fitting of linear attenuation coefficient vs. photon energy curves from NIST. It's given by the functional form \(f(x) = c_1e^{-d_1\sqrt{x}} + c_2e^{-d_2\sqrt{x}}\). It was chosen purely because it gave good fit results. |
Return energy and linear attenuation data from NIST datafiles of mass attenuation coefficients between 50keV and 511keV. |
|
|
Gets linear attenuation corresponding to a given energy in in the data from |
- pytomography.utils.nist_data.dual_sqrt_exponential(energy, c1, c2, d1, d2)[source]#
Function used for curve fitting of linear attenuation coefficient vs. photon energy curves from NIST. It’s given by the functional form \(f(x) = c_1e^{-d_1\sqrt{x}} + c_2e^{-d_2\sqrt{x}}\). It was chosen purely because it gave good fit results.
- Parameters:
energy (float) – Energy of photon
c1 (float) – Fit parameter 1
c2 (float) – Fit parameter 2
d1 (float) – Fit parameter 3
d2 (float) – Fit parameter 4
- Returns:
_description_
- Return type:
float
- pytomography.utils.nist_data.get_E_mu_data_from_datasheet(file)[source]#
Return energy and linear attenuation data from NIST datafiles of mass attenuation coefficients between 50keV and 511keV.
- Parameters:
file (str) – Location of NIST data file. Corresponds to a particular element/material.
- Returns:
Energy and linear attenuation values.
- Return type:
tuple[np.array, np.array]
- pytomography.utils.nist_data.get_mu_from_spectrum_interp(file, energy)[source]#
Gets linear attenuation corresponding to a given energy in in the data from
file
.- Parameters:
file (str) – Filepath of the mu-energy data
energy (float) – Energy at which mu is computed
- Returns:
Linear attenuation coefficient (in 1/cm) at the desired energies.
- Return type:
np.array