python hooks to make getting base composition more reliable; further, a number of small changes made to aid in my analysis in response to ref report 1
486 lines
20 KiB
C++
486 lines
20 KiB
C++
#pragma once
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#include "gridfire/reaction/reaction.h"
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#include "gridfire/types/types.h"
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#include "gridfire/screening/screening_abstract.h"
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#include "gridfire/screening/screening_types.h"
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#include "gridfire/engine/types/reporting.h"
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#include "gridfire/engine/types/jacobian.h"
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#include "gridfire/exceptions/error_engine.h"
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#include "gridfire/engine/scratchpads/blob.h"
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#include "fourdst/composition/composition_abstract.h"
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#include <vector>
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#include <unordered_map>
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#include <utility>
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#include <expected>
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/**
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* @file engine_abstract.h
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* @brief Abstract interfaces for reaction network engines in GridFire.
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*
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* This header defines the abstract base classes and concepts for implementing
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* reaction network solvers in the GridFire framework. It provides the contract
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* for calculating right-hand sides, energy generation, Jacobians, stoichiometry,
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* and other core operations required for time integration of nuclear reaction networks.
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*
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* @author
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* Emily M. Boudreaux
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*/
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namespace gridfire::engine {
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/**
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* @brief Structure holding derivatives and energy generation for a network step.
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*
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* @tparam T Numeric type (double or CppAD::AD<double>).
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*
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* This struct is used to return both the time derivatives of all species abundances
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* and the specific nuclear energy generation rate for a single network evaluation.
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*
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* Example usage:
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* @code
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* StepDerivatives<double> result = engine.calculateRHSAndEnergy(Y, T9, rho);
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* for (double dydt_i : result.dydt) {
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* // Use derivative
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* }
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* double energyRate = result.nuclearEnergyGenerationRate;
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* @endcode
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*/
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template <IsArithmeticOrAD T>
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struct StepDerivatives {
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std::map<fourdst::atomic::Species, T> dydt{}; ///< Derivatives of abundances (dY/dt for each species).
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T nuclearEnergyGenerationRate = T(0.0); ///< Specific energy generation rate (e.g., erg/g/s).
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std::optional<std::map<fourdst::atomic::Species, std::unordered_map<std::string, T>>> reactionContributions = std::nullopt;
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T neutrinoEnergyLossRate = T(0.0); // (erg/g/s)
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T totalNeutrinoFlux = T(0.0); // (neutrinos/g/s)
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StepDerivatives() : dydt(), nuclearEnergyGenerationRate(T(0.0)) {}
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};
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using SparsityPattern = std::vector<std::pair<size_t, size_t>>; ///< Type alias for sparsity pattern representation.
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/**
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* @brief Structure holding derivatives of energy generation rate with respect to T and rho.
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*
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* This struct encapsulates the partial derivatives of the specific nuclear energy
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* generation rate with respect to temperature and density.
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*/
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struct EnergyDerivatives {
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double dEps_dT = 0.0; ///< Partial derivative of energy generation rate with respect to temperature.
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double dEps_dRho = 0.0;///< Partial derivative of energy generation rate with respect to density.
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friend std::ostream& operator<<(std::ostream& os, const EnergyDerivatives& ed) {
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os << "<dε/dT: " << ed.dEps_dT << ", dε/dρ: " << ed.dEps_dRho << ">";
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return os;
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}
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};
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/**
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* @brief Enumeration of possible engine statuses.
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*
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* This enum defines the various states an engine can be in after performing
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* calculations, such as being up-to-date (OKAY), needing an update (STALE),
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* or encountering an error (ERROR).
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*/
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enum class EngineStatus {
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OKAY,
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STALE,
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ERROR,
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COUNT
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};
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/**
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* @brief Convert EngineStatus enum to string representation.
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*
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* @param status The EngineStatus value to convert.
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* @return A string_view representing the name of the EngineStatus.
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*/
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constexpr std::string_view EngineStatus_to_string(const EngineStatus status) {
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constexpr std::array<std::string_view, static_cast<size_t>(EngineStatus::COUNT)> names = {
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"OKAY",
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"STALE",
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"ERROR"
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};
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return names[static_cast<size_t>(status)];
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}
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/**
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* @brief Abstract base class for a reaction network engine.
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*
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* This class defines the minimal interface for a reaction network engine,
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* which is responsible for evaluating the right-hand side (dY/dt) and
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* energy generation for a given set of abundances, temperature, and density.
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*
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* Intended usage: Derive from this class to implement a concrete engine
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* for a specific network or integration method.
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*
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* Example:
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* @code
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* class MyEngine : public gridfire::Engine {
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* // Implement required methods...
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* };
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* @endcode
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*/
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class Engine {
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public:
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/**
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* @brief Virtual destructor.
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*/
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virtual ~Engine() = default;
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/**
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* @brief Get the list of species in the network.
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* @return Vector of Species objects representing all network species.
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*/
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[[nodiscard]] virtual const std::vector<fourdst::atomic::Species>& getNetworkSpecies(
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scratch::StateBlob& ctx
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) const = 0;
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/**
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* @brief Calculate the right-hand side (dY/dt) and energy generation.
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*
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @param trust If true, indicates that the engine should trust the passed composition has already been collected.
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* @return expected<StepDerivatives<double>> containing either dY/dt and energy generation rate or a stale engine
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* error indicating that the engine must be updated
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*
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* This function must be implemented by derived classes to compute the
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* time derivatives of all species and the specific nuclear energy generation
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* rate for the current state.
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*/
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[[nodiscard]] virtual std::expected<StepDerivatives<double>, EngineStatus> calculateRHSAndEnergy(
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scratch::StateBlob&,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho,
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bool trust
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) const = 0;
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};
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/**
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* @brief Abstract class for engines supporting Jacobian and stoichiometry operations.
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*
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* Extends Engine with additional methods for:
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* - Generating and accessing the Jacobian matrix (for implicit solvers).
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* - Generating and accessing the stoichiometry matrix.
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* - Calculating molar reaction flows for individual reactions.
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* - Accessing the set of logical reactions in the network.
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* - Computing timescales for each species.
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*
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* Intended usage: Derive from this class to implement engines that support
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* advanced solver features such as implicit integration, sensitivity analysis,
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* QSE (Quasi-Steady-State Equilibrium) handling, and more. Generally this will be the main engine type
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*/
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class DynamicEngine : public Engine {
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public:
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/**
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* @brief Generate the Jacobian matrix for the current state.
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*
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* @param ctx The scratchpad context for the current state.
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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*
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* This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j)
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* for the current state. The matrix can then be accessed via getJacobianMatrixEntry().
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*/
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[[nodiscard]] virtual NetworkJacobian generateJacobianMatrix(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Generate the Jacobian matrix for the current state using a subset of active species.
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*
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* @param ctx The scratchpad context for the current state.
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @param activeSpecies The set of species to include in the Jacobian calculation.
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*
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* This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j)
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* for the current state, considering only the specified subset of active species.
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* The matrix can then be accessed via getJacobianMatrixEntry().
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*/
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[[nodiscard]] virtual NetworkJacobian generateJacobianMatrix(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho,
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const std::vector<fourdst::atomic::Species>& activeSpecies
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) const = 0;
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/**
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* @brief Generate the Jacobian matrix for the current state with a specified sparsity pattern.
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*
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* @param ctx Get the scratchpad context for the current state.
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @param sparsityPattern The sparsity pattern to use for the Jacobian matrix.
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*
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* This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j)
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* for the current state using automatic differentiation, taking into
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* account the provided sparsity pattern. The matrix can then be accessed
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* via `getJacobianMatrixEntry()`.
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*
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* @see getJacobianMatrixEntry()
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*/
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[[nodiscard]] virtual NetworkJacobian generateJacobianMatrix(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho,
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const SparsityPattern& sparsityPattern
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) const = 0;
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/**
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* @brief Calculate the molar reaction flow for a given reaction.
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*
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* @param ctx The scratchpad context for the current state.
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* @param reaction The reaction for which to calculate the flow.
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @return Molar flow rate for the reaction (e.g., mol/g/s).
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*
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* This method computes the net rate at which the given reaction proceeds
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* under the current state.
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*/
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[[nodiscard]] virtual double calculateMolarReactionFlow(
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scratch::StateBlob& ctx,
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const reaction::Reaction& reaction,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Calculate the derivatives of the energy generation rate with respect to T and rho.
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*
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @return EnergyDerivatives containing dEps/dT and dEps/dRho.
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*
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* This method computes the partial derivatives of the specific nuclear energy
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* generation rate with respect to temperature and density for the current state.
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*/
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[[nodiscard]] virtual EnergyDerivatives calculateEpsDerivatives(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Get the set of logical reactions in the network.
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*
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* @return Reference to the LogicalReactionSet containing all reactions.
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*/
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[[nodiscard]] virtual const reaction::ReactionSet& getNetworkReactions(
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scratch::StateBlob& ctx
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) const = 0;
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/**
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* @brief Get the set of inactive reactions in the network.
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*
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* @return ReactionSet containing all inactive reactions.
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*
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* By default, this method returns an empty set. Derived classes can override
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* this method to provide the actual set of inactive reactions based on their
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* internal logic (e.g., reaction flow culling, QSE partitioning).
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*/
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[[nodiscard]] virtual reaction::ReactionSet getInactiveNetworkReactions(
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scratch::StateBlob &ctx
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) const {
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return reaction::ReactionSet{};
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}
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[[nodiscard]] virtual double getInactiveReactionMolarReactionFlow(
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scratch::StateBlob& ctx,
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const reaction::Reaction &reaction,
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const fourdst::composition::CompositionAbstract &comp,
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const double T9,
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const double rho
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) const {
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std::string warning_msg = std::format(
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"[GridFire Warning ({}, {}, {})]: Engine of type '{}' does not implement getInactiveReactionMolarReactionFlow. Returning 0.0 flow for reaction '{}'.",
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__FILE__,
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__LINE__,
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__FUNCTION__,
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typeid(*this).name(),
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reaction.id()
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);
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return 0.0;
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}
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/**
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* @brief Compute timescales for all species in the network.
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*
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @return Map from Species to their characteristic timescales (s).
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*
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* This method estimates the timescale for abundance change of each species,
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* which can be used for timestep control, diagnostics, and reaction network culling.
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*/
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[[nodiscard]] virtual std::expected<std::unordered_map<fourdst::atomic::Species, double>, EngineStatus> getSpeciesTimescales(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Compute destruction timescales for all species in the network.
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*
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* @param ctx The scratchpad context for the current state.
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* @param comp Composition object containing current abundances.
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* @param T9 Temperature in units of 10^9 K.
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* @param rho Density in g/cm^3.
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* @return Map from Species to their destruction timescales (s).
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*
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* This method estimates the destruction timescale for each species,
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* which can be useful for understanding reaction flows and equilibrium states.
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*/
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[[nodiscard]] virtual std::expected<std::unordered_map<fourdst::atomic::Species, double>, EngineStatus> getSpeciesDestructionTimescales(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Update the thread local scratch pad state of a network.
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*
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* @param ctx The scratchpad context for the current state.
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* @param netIn A struct containing the current network input, such as
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* temperature, density, and composition.
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*
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* This method is intended to be implemented by derived classes to update
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* their internal state based on the provided network conditions. For example,
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* an adaptive engine might use this to re-evaluate which reactions and species
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* are active. For other engines that do not support manually updating, this
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* method might do nothing.
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*
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* @par Usage Example:
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* @code
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* NetIn input = { ... };
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* myEngine.update(input);
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* @endcode
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*
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* @post The internal state of the engine is updated to reflect the new conditions.
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*/
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[[nodiscard]] virtual fourdst::composition::Composition project(
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scratch::StateBlob& ctx,
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const NetIn &netIn
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) const = 0;
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/**
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* @brief Get the current electron screening model.
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*
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* @param ctx The scratchpad context for the current state.
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*
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* @return The currently active screening model type.
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*
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* @par Usage Example:
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* @code
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* screening::ScreeningType currentModel = myEngine.getScreeningModel();
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* @endcode
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*/
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[[nodiscard]] virtual screening::ScreeningType getScreeningModel(
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scratch::StateBlob& ctx
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) const = 0;
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/**
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* @brief Get the index of a species in the network.
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*
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* @param ctx The scratchpad context for the current state.
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* @param species The species to look up.
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*
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* This method allows querying the index of a specific species in the
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* engine's internal representation. It is useful for accessing species
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* data efficiently.
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*/
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[[nodiscard]] virtual size_t getSpeciesIndex(
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scratch::StateBlob& ctx,
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const fourdst::atomic::Species &species
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) const = 0;
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/**
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* @brief Prime the engine with initial conditions.
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*
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* @param ctx The scratchpad context for the current state.
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* @param netIn The input conditions for the network.
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* @return PrimingReport containing information about the priming process.
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*
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* This method is used to prepare the engine for calculations by setting up
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* initial conditions, reactions, and species. It may involve compiling reaction
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* rates, initializing internal data structures, and performing any necessary
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* pre-computation.
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*/
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[[nodiscard]] virtual PrimingReport primeEngine(
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scratch::StateBlob& ctx,
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const NetIn &netIn
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) const = 0;
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/**
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* @brief Recursively collect composition from current engine and any sub engines if they exist.
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* @details If species i is defined in comp and in any sub engine or self composition then the molar abundance of
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* species i in the returned composition will be that defined in comp. If there are species defined in sub engine
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* compositions which are not defined in comp then their molar abundances will be based on the reported values
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* from each sub engine.
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* @note It is up to each engine to decide how to handle filling in the return composition.
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* @note These methods return an unfinalized composition which must then be finalized by the caller
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* @param ctx The scratchpad context for the current state.
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* @param comp Input composition to "normalize".
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* @param T9
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* @param rho
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* @return An updated composition which is a superset of comp. This may contain species which were culled, for
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* example, by either QSE partitioning or reaction flow rate culling
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*/
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[[nodiscard]] virtual fourdst::composition::Composition collectComposition(
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scratch::StateBlob& ctx,
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const fourdst::composition::CompositionAbstract &comp,
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double T9,
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double rho
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) const = 0;
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/**
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* @brief Get the status of a species in the network.
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*
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* @param species The species to check.
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* @return SpeciesStatus indicating whether the species is active, inactive, or culled.
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*
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* This method allows querying the current status of a specific species
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* within the engine's network.
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*/
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[[nodiscard]] virtual SpeciesStatus getSpeciesStatus(
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scratch::StateBlob& ctx,
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const fourdst::atomic::Species& species
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) const = 0;
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[[nodiscard]] virtual std::optional<StepDerivatives<double>> getMostRecentRHSCalculation(
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scratch::StateBlob& ctx
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) const = 0;
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[[nodiscard]] virtual std::unique_ptr<scratch::StateBlob> constructStateBlob(const scratch::StateBlob *blob) const = 0;
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};
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} |