inventory_T_c

divHretention.inventory_T_c.estimate_inventory_with_gp_regression(time=10000000.0)

Estimate the monoblock inventory in H/m based on FESTIM results at a given time.

The regression is made on T, log(c_surface), log(inventory)

Parameters

time (float, optional) – Exposure time in seconds. Defaults to 1e7.

Returns

callable, usage GP(600, np.log10(1e20)) see https://inference-tools.readthedocs.io/en/stable/GpRegressor.html

Return type

GpRegressor

divHretention.inventory_T_c.inv(points, time=10000000.0)

returns a 1D array