SpectralDecomposition

SpectralDecomposition stores absorption and emission spectra, \(\sigma_a(\lambda)\) and \(\sigma_e(\lambda)\). It is an alias for CrossSectionData.

from HASEonGPU import SpectralDecomposition

spectra = SpectralDecomposition(
    wavelengthsAbsorption=[900.0, 910.0],
    crossSectionAbsorption=[1.1e-21, 1.2e-21],
    wavelengthsEmission=[1020.0, 1030.0],
    crossSectionEmission=[2.0e-20, 2.48e-20],
    resolution=2,
)

The wavelength arrays \(\lambda\) and matching cross-section arrays must have the same length. resolution is the spectral interpolation resolution passed to the ASE calculation.

Constructors

SpectralDecomposition(...): Builds spectral data from explicit arrays.
SpectralDecomposition.monochromatic(...): Creates a single-wavelength \(\lambda\) data set:

spectra = SpectralDecomposition.monochromatic(
    wavelength=940e-9,
    crossSectionAbsorption=1.2e-21,
    crossSectionEmission=2.0e-20,
)

SpectralDecomposition.fromDirectory(path, resolution=1000): Loads four text files from a directory:

lambda_a.txt
sigma_a.txt
lambda_e.txt
sigma_e.txt

Interpolation Utilities

sigma_abs = spectra.absorptionAt(940e-9)
sigma_ems = spectra.emissionAt(1030.0)

The interpolation helpers accept wavelengths \(\lambda\) in the same unit as the stored data. They also handle the common case where stored spectra are in nm and a pump wavelength is supplied in m.

Conversion Utilities

toDict() returns the low-level laser property dictionary:

data = spectra.toDict()
data["l_abs"]
data["s_abs"]
data["l_ems"]
data["s_ems"]
data["l_res"]

toLaserProperties() wraps the same data in LaserProperties:

laser = spectra.toLaserProperties()
laser.maxSigmaA
laser.maxSigmaE

LaserProperties remains available for lower-level workflows, but new simulation code usually passes SpectralDecomposition directly to PumpProperties, PhiASE, or Simulation.