compute_inventory

divHretention.compute_inventory.compute_c_max(T, E_ion, E_atom, angles_ion, angles_atom, ion_flux, atom_flux, full_export=False, isotope='H')

Computes the surface concentration based on exposure conditions.

Parameters

  • T (numpy.array) – Surface temperature (K)

  • E_ion (numpy.array) – Ion incident energy (eV)

  • E_atom (numpy.array) – Atom incident energy (eV)

  • angles_ion (numpy.array) – Angle of incidence of ions (deg)

  • angles_atom (numpy.array) – Angle of incidence of atoms (deg)

  • ion_flux (numpy.array) – Ion flux (m-2 s-1)

  • atom_flux (numpy.array) – Atom flux (m-2 s-1)

  • full_export (bool, optional) – If True, the output will contain the surface concentration due to ions and atoms. Defaults to False.

  • isotope (str, optional) – Type of hydrogen isotope amongst “H”, “D”, “T”. Defaults to “H”.

Returns

surface concentration or (surface concentration, surface conc. ions, surface conc. atoms)

Return type

numpy.array or (numpy.array, numpy.array, numpy.array)

divHretention.compute_inventory.compute_inventory(T, c_max, time)

Computes the monoblock inventory as a function of the surface temperature, surface concentration and exposure time.

If the time is not already in database_inv_sig, another gaussian regression is performed.

Parameters

  • T (list) – Surface temperature (K)

  • c_max (list) – Surface concentration (H m-3)

  • time (float) – Exposure time (s)

Returns

list of inventories (H/m), list of standard deviation

Return type

numpy.array, numpy.array

divHretention.compute_inventory.compute_surface_temperature(heat_flux)

Computes the surface temperature based on the thermal study performed in Delaporte-Mathurin et al, SREP 2020 https://www.nature.com/articles/s41598-020-74844-w

divHretention.compute_inventory.fetch_inventory_and_error(time)

Fetch the inventory and error for a given time

Parameters

time (float) – time (s)

Returns

inventory(T, c), standard deviation(T, c)

Return type

callable, callable