InternalAbsorption

InternalAbsorption#

class jetset.internal_absorption.InternalAbsorption(jet, nu_min=None, seed_photons_name='BLR', N_soft=50, N_hard=50, N_R_H=20, N_theta=20, use_R_H_profile_extrapolation=False)[source]#

Bases: object

Compute internal gamma-gamma absorption from jet seed photon fields.

Notes

Evaluates optical depth tau(nu) using BLR or DT photon distributions, caches previous evaluations for reuse, and provides attenuation factors for integration into jet spectral component calculations.

Methods Summary

eval([get_tau, skip_check, lin_nu, peak])

Evaluate model output.

eval_tau_photons(nu_src, R_H[, skip_check, ...])

Evaluate tau photons.

get_n(seed_photons_name, N_soft, R_H[, ...])

Return n.

sigma(s)

Sigma.

Methods Documentation

eval(get_tau=False, skip_check=True, lin_nu=None, peak=False)[source]#

Evaluate model output.

Parameters:

  • get_tau (bool, optional) – If True, return optical depth instead of attenuation.

  • skip_check (bool, optional) – If True, skip check.

  • lin_nu (object, optional) – Linear-frequency array in Hz.

  • peak (bool, optional) – If True, use peak-optimized seed-photon sampling.

Returns:

Computed value.

Return type:

object

eval_tau_photons(nu_src, R_H, skip_check=True, peak=False, use_R_H_profile_extrapolation=False)[source]#

Evaluate tau photons.

Parameters:

  • nu_src (object) – Source-frame frequency array in Hz.

  • R_H (object) – Distance from black hole in cm.

  • skip_check (bool, optional) – If True, skip check.

  • peak (bool, optional) – If True, use peak-optimized seed-photon sampling.

  • use_R_H_profile_extrapolation (bool, optional) – If True, enable r h profile extrapolation.

Returns:

Computed value.

Return type:

object

get_n(seed_photons_name, N_soft, R_H, peak=False, rescale=True)[source]#

Return n.

Parameters:

  • seed_photons_name (object) – Seed-photon field identifier (for example BLR or DT).

  • N_soft (object) – Number of soft-photon energy samples.

  • R_H (object) – Distance from black hole in cm.

  • peak (bool, optional) – If True, use peak-optimized seed-photon sampling.

  • rescale (bool, optional) – If True, apply normalization rescaling.

Returns:

Requested value.

Return type:

object

sigma(s)[source]#

Sigma.

Parameters:

s (object) – Dimensionless interaction invariant.

Returns:

Computed value.

Return type:

object