openghg_inversions.models.rhime#
RHIME model builders.
These builders are the modern public model-construction names. They reuse the
component-based PyMC helpers, while keeping the legacy inferpymc adapter out
of the RHIME runtime path.
- openghg_inversions.models.rhime.build_rhime_model(inv_inputs: Dataset, *, x_prior: dict | None = None, bc_prior: dict | None = None, sigma_prior: dict | None = None, sigma_per_site: bool = True, offset_prior: dict | None = None, add_offset: bool = False, use_bc: bool = True, pollution_events_from_obs: bool = False, no_model_error: bool = False, offset_args: dict | None = None, power: dict | float = 1.99) Model#
Build the standard single-sector RHIME model.
- Parameters:
inv_inputs – Canonical inversion-input dataset produced by
make_inv_inputs.x_prior – Prior specification for flux scaling factors.
bc_prior – Prior specification for boundary-condition scaling factors.
sigma_prior – Prior specification for model-error terms.
sigma_per_site – Whether model-error terms vary by site.
offset_prior – Prior specification for optional offsets.
add_offset – Whether to include an offset term.
use_bc – Whether to include boundary-condition terms.
pollution_events_from_obs – Whether to derive pollution-event scaling from observations rather than modelled concentrations.
no_model_error – Whether to suppress the explicit model-error term.
offset_args – Extra keyword arguments forwarded to the offset component.
power – Exponent or prior specification used in likelihood error scaling.
- Returns:
Built PyMC model.
- openghg_inversions.models.rhime.build_rhime_multisector_model(inv_inputs: Dataset, *, sectors: Sequence[str] | None = None, sector_priors: Mapping[str, dict] | None = None, x_prior: dict | None = None, bc_prior: dict | None = None, sigma_prior: dict | None = None, sigma_per_site: bool = True, offset_prior: dict | None = None, add_offset: bool = False, use_bc: bool = True, pollution_events_from_obs: bool = False, no_model_error: bool = False, offset_args: dict | None = None, power: dict | float = 1.99) Model#
Build the first shared-basis multi-sector RHIME model.
Each sector receives its own state vector
x_<sector>and forward-model contributionmu_<sector>. The totalmuis the sum of sector contributions and is passed to the standard RHIME likelihood.- Parameters:
inv_inputs – Canonical inversion-input dataset with
H(region, nmeasure, source).sectors – Ordered sector/source names to optimise. Defaults to all
inv_inputs.H.sourcevalues.sector_priors – Optional per-sector flux-scaling priors.
x_prior – Shared fallback flux-scaling prior.
bc_prior – Prior specification for boundary-condition scaling factors.
sigma_prior – Prior specification for model-error terms.
sigma_per_site – Whether model-error terms vary by site.
offset_prior – Prior specification for optional offsets.
add_offset – Whether to include an offset term.
use_bc – Whether to include boundary-condition terms.
pollution_events_from_obs – Whether to derive pollution-event scaling from observations rather than modelled concentrations.
no_model_error – Whether to suppress explicit model-error terms.
offset_args – Extra keyword arguments forwarded to the offset component.
power – Exponent or prior specification used in likelihood error scaling.
- Returns:
Built PyMC model.