essos.background_species¶

Attributes¶

`JOULE_PER_EV`
`EV_PER_JOULE`

Classes¶

BackgroundSpecies

Functions¶

`gamma_ab`(→ float)	Prefactor for pairwise collisionality.
`nu_D_ab`(→ float)	Deflection collision frequency
`d_nu_D_ab`(→ float)	Deflection collision frequency
`nu_par_ab`(→ float)	Parallel collision frequency
`d_nu_par_ab`(ma, ea, species_b, v, points, species)	d(Parallel collision frequency)/ dv
`nu_s_ab`(→ float)	Slowing collision frequency
`coulomb_logarithm`(→ float)	Coulomb logarithm for collisions between species a and b.
`impact_parameter`(→ float)	Impact parameters for classical Coulomb collision.
`impact_parameter_perp`(→ float)	Distance of the closest approach for a 90° Coulomb collision.
`debroglie_length`(→ float)	Thermal DeBroglie wavelength.
`debye_length`(→ float)	Scale length for charge screening.
`chandrasekhar`(→ jax.Array)	Chandrasekhar function.
`d_chandrasekhar`(→ jax.Array)
`d_erf`(→ jax.Array)

Module Contents¶

essos.background_species.JOULE_PER_EV¶

essos.background_species.EV_PER_JOULE¶

class essos.background_species.BackgroundSpecies(number_species, mass_array, charge_array, n_array, T_array)¶

number_species¶

species_indeces¶

temperature¶

density¶

mass¶

charge¶

get_temperature(species_index, points)¶

get_density(species_index, points)¶

get_v_thermal(species_index, points)¶

essos.background_species.gamma_ab(ma: float, ea: float, species_b: int, vth_a: float, points, species: BackgroundSpecies) → float¶: Prefactor for pairwise collisionality.

essos.background_species.nu_D_ab(ma: float, ea: float, species_b: int, v: float, points, species: BackgroundSpecies) → float¶: Deflection collision frequency

essos.background_species.d_nu_D_ab(ma: float, ea: float, species_b: int, v: float, points, species: BackgroundSpecies) → float¶: Deflection collision frequency

essos.background_species.nu_par_ab(ma: float, ea: float, species_b: int, v: float, points, species: BackgroundSpecies) → float¶: Parallel collision frequency

essos.background_species.d_nu_par_ab(ma: float, ea: float, species_b: int, v: float, points, species: BackgroundSpecies)¶: d(Parallel collision frequency)/ dv

essos.background_species.nu_s_ab(ma: float, ea: float, species_b: int, v: float, points, species: BackgroundSpecies) → float¶: Slowing collision frequency

essos.background_species.coulomb_logarithm(ma: float, ea: float, species_b: int, vth_a: float, points, species: BackgroundSpecies) → float¶

Coulomb logarithm for collisions between species a and b. :param maxwellian_a: Distribution function of primary species. :type maxwellian_a: LocalMaxwellian :param maxwellian_b: Distribution function of background species. :type maxwellian_b: LocalMaxwellian

Returns:: log(lambda)
Return type:: float

essos.background_species.impact_parameter(ma: float, ea: float, species_b: int, vth_a: float, points, species: BackgroundSpecies) → float¶: Impact parameters for classical Coulomb collision.

essos.background_species.impact_parameter_perp(ma: float, ea: float, species_b: int, vth_a: float, points, species: BackgroundSpecies) → float¶: Distance of the closest approach for a 90° Coulomb collision.

essos.background_species.debroglie_length(ma: float, species_b: int, vth_a: float, points, species: BackgroundSpecies) → float¶: Thermal DeBroglie wavelength.

essos.background_species.debye_length(points, species: BackgroundSpecies) → float¶: Scale length for charge screening.

essos.background_species.chandrasekhar(x: jax.Array) → jax.Array¶: Chandrasekhar function.

essos.background_species.d_chandrasekhar(x: jax.Array) → jax.Array¶

essos.background_species.d_erf(x: jax.Array) → jax.Array¶