cppdisort

class pyarts.arts.cppdisort(*args, **kwargs)

A DISORT object

Overview

Method	flux()	Compute the flux
Method	pydisort_flux_down()	Compute the downward flux
Method	pydisort_flux_up()	Compute the upward flux
Method	pydisort_u()	Compute the intensity
Method	u()	Compute the intensity
Operator	__eq__()	Return self==value.
Operator	__ge__()	Return self>=value.
Operator	__gt__()	Return self>value.
Operator	__hash__()	Return hash(self).
Operator	__le__()	Return self<=value.
Operator	__lt__()	Return self<value.
Operator	__ne__()	Return self!=value.

Constructors

__init__(self, tau_arr: pyarts.arts.AscendingGrid, omega_arr: pyarts.arts.Vector, NQuad: int, Leg_coeffs_all: pyarts.arts.Matrix, mu0: float, I0: float, phi0: float, NLeg: int | None = None, NFourier: int | None = None, b_pos: pyarts.arts.Matrix | None = None, b_neg: pyarts.arts.Matrix | None = None, f_arr: pyarts.arts.Vector | None = None, BDRF_Fourier_modes: pyarts.arts.disort.ArrayOfBDRF = pyarts.arts.disort.ArrayOfBDRF([]), s_poly_coeffs: pyarts.arts.Matrix | None = None) → None

Run disort, mostly mimicying the 0.7 Pythonic-DISORT interface.

Methods

flux(self, tau: pyarts.arts.AscendingGrid) → pyarts.arts.Matrix

Compute the flux

pydisort_flux_down(self, tau: pyarts.arts.Vector) → pyarts.arts.ArrayOfVector

Compute the downward flux

pydisort_flux_up(self, tau: pyarts.arts.Vector) → pyarts.arts.Vector

Compute the upward flux

pydisort_u(self, tau: pyarts.arts.Vector, phi: pyarts.arts.Vector) → pyarts.arts.Tensor3

Compute the intensity

u(self, tau: pyarts.arts.AscendingGrid, phi: pyarts.arts.Vector) → pyarts.arts.Tensor3

Compute the intensity

Operators

__eq__(value, /)

Return self==value.

__ge__(value, /)

Return self>=value.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.