docs(GridFire): added loads of docs and supressed yaml-cpp shadow warnings
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/**
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* @file engine.h
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* @brief Core header for the GridFire reaction network engine module.
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*
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* This module defines the core interfaces and classes for reaction network
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* engines in GridFire. It provides abstract base classes for engines,
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* dynamic engines, and engine views, as well as concrete engine
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* implementations and view implementations.
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*
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* The engine module is designed to support a wide range of reaction network
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* simulations, from simple single-zone calculations to complex multi-zone
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* simulations with adaptive network topologies.
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*
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* @section EngineDesign Engine Design
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*
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* The engine module is built around the following key concepts:
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*
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* - **Engine:** The base class for all reaction network engines. It defines
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* the minimal interface for evaluating the right-hand side (dY/dt) and
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* energy generation rate for a given set of abundances, temperature, and
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* density.
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*
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* - **DynamicEngine:** An extension of the Engine class that supports
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* Jacobian and stoichiometry operations, as well as the ability to
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* dynamically modify the reaction network.
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*
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* - **EngineView:** An abstract base class for "views" of reaction network
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* engines. Engine views provide a way to dynamically or adaptively
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* modify the network topology without modifying the underlying physics
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* engine.
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*
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* @section EngineComposition Engine Composition
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*
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* Engines and engine views can be composed to create complex reaction network
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* simulations. For example, an AdaptiveEngineView can be used to dynamically
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* cull species and reactions from a GraphEngine, reducing the computational
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* cost of the simulation.
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*
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* The order in which engines and engine views are composed is important. The
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* base engine should always be the innermost engine, and the engine views
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* should be layered on top of the base engine.
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*
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* @section AvailableEngines Available Engines
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*
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* The engine module provides the following concrete engine implementations:
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*
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* - **GraphEngine:** A reaction network engine that uses a graph-based
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* representation of the reaction network. It uses sparse matrices for
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* efficient storage and computation of the stoichiometry and Jacobian
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* matrices.
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*
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* @section AvailableViews Available Views
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*
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* The engine module provides the following engine view implementations:
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*
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* - **AdaptiveEngineView:** An engine view that dynamically adapts the
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* reaction network based on runtime conditions. It culls species and
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* reactions with low reaction flow rates, reducing the computational
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* cost of the simulation.
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*
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* - **DefinedEngineView:** An engine view that restricts the reaction
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* network to a predefined set of species and reactions. This can be
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* useful for simulating specific reaction pathways or for comparing
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* results with other codes.
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*
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* - **MultiscalePartitioningEngineView:** An engine view that partitions the
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* reaction network into multiple groups based on timescales. This can be
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* useful for simulating stiff reaction networks, where some reactions
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* occur much faster than others.
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*
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* - **NetworkPrimingEngineView:** An engine view that primes the reaction
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* network with a specific species or set of species. This can be useful
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* for igniting a reaction network or for studying the effects of specific
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* species on the network.
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*
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* @section UsageExamples Usage Examples
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*
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* @subsection GraphEngineExample GraphEngine Example
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*
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* The following code shows how to create a GraphEngine from a composition:
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*
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* @code
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* #include "gridfire/engine/engine_graph.h"
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* #include "fourdst/composition/composition.h"
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*
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* // Create a composition
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* fourdst::composition::Composition composition;
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*
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* // Create a GraphEngine
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* gridfire::GraphEngine engine(composition);
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* @endcode
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*
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* @subsection AdaptiveEngineViewExample AdaptiveEngineView Example
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*
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* The following code shows how to create an AdaptiveEngineView from a
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* GraphEngine:
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*
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* @code
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* #include "gridfire/engine/views/engine_adaptive.h"
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* #include "gridfire/engine/engine_graph.h"
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* #include "fourdst/composition/composition.h"
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*
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* // Create a composition
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* fourdst::composition::Composition composition;
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*
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* // Create a GraphEngine
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* gridfire::GraphEngine baseEngine(composition);
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*
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* // Create an AdaptiveEngineView
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* gridfire::AdaptiveEngineView engine(baseEngine);
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* @endcode
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*
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* @subsection DefinedEngineViewExample DefinedEngineView Example
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*
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* The following code shows how to create a DefinedEngineView from a
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* GraphEngine:
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*
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* @code
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* #include "gridfire/engine/views/engine_defined.h"
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* #include "gridfire/engine/engine_graph.h"
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* #include "fourdst/composition/composition.h"
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*
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* // Create a composition
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* fourdst::composition::Composition composition;
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*
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* // Create a GraphEngine
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* gridfire::GraphEngine baseEngine(composition);
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*
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* // Create a DefinedEngineView
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* std::vector<std::string> peNames = {"p(p,e+)d", "he4(a,g)be8"};
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* gridfire::DefinedEngineView engine(peNames, baseEngine);
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* @endcode
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*
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* @subsection MultiscalePartitioningEngineViewExample MultiscalePartitioningEngineView Example
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*
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* The following code shows how to create a MultiscalePartitioningEngineView from a
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* GraphEngine:
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*
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* @code
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* #include "gridfire/engine/views/engine_multiscale.h"
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* #include "gridfire/engine/engine_graph.h"
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* #include "fourdst/composition/composition.h"
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*
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* // Create a composition
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* fourdst::composition::Composition composition;
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*
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* // Create a GraphEngine
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* gridfire::GraphEngine baseEngine(composition);
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*
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* // Create a MultiscalePartitioningEngineView
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* gridfire::MultiscalePartitioningEngineView engine(baseEngine);
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* @endcode
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*
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* @subsection NetworkPrimingEngineViewExample NetworkPrimingEngineView Example
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*
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* The following code shows how to create a NetworkPrimingEngineView from a
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* GraphEngine:
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*
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* @code
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* #include "gridfire/engine/views/engine_priming.h"
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* #include "gridfire/engine/engine_graph.h"
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* #include "fourdst/composition/composition.h"
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*
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* // Create a composition
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* fourdst::composition::Composition composition;
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*
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* // Create a GraphEngine
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* gridfire::GraphEngine baseEngine(composition);
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*
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* // Create a NetworkPrimingEngineView
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* std::string primingSymbol = "p";
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* gridfire::NetworkPrimingEngineView engine(primingSymbol, baseEngine);
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* @endcode
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*/
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#pragma once
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#include "gridfire/engine/engine_abstract.h"
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@@ -833,14 +833,6 @@ namespace gridfire {
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// --- Pre-setup (flags to control conditionals in an AD safe / branch aware manner) ---
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// ----- Constants for AD safe calculations ---
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const T zero = static_cast<T>(0.0);
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const T one = static_cast<T>(1.0);
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// ----- Initialize variables for molar concentration product and thresholds ---
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// Note: the logic here is that we use CppAD::CondExprLt to test thresholds and if they are less we set the flag
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// to zero so that the final returned reaction flow is 0. This is as opposed to standard if statements
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// which create branches that break the AD tape.
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const T Y_threshold = static_cast<T>(MIN_ABUNDANCE_THRESHOLD);
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T threshold_flag = one;
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// --- Calculate the molar reaction rate (in units of [s^-1][cm^3(N-1)][mol^(1-N)] for N reactants) ---
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const T k_reaction = reaction.calculate_rate(T9);
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@@ -864,9 +856,6 @@ namespace gridfire {
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const size_t species_index = species_it->second;
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const T Yi = Y[species_index];
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// --- Check if the species abundance is below the threshold where we ignore reactions ---
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// threshold_flag *= CppAD::CondExpLt(Yi, Y_threshold, zero, one);
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// --- If count is > 1 , we need to raise the molar concentration to the power of count since there are really count bodies in that reaction ---
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molar_concentration_product *= CppAD::pow(Yi, static_cast<T>(count)); // ni^count
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@@ -881,7 +870,7 @@ namespace gridfire {
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// the tape more expensive to record, but it will also mean that we only need to record it once for
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// the entire network.
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const T densityTerm = CppAD::pow(rho, totalReactants > 1 ? static_cast<T>(totalReactants - 1) : zero); // Density raised to the power of (N-1) for N reactants
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return molar_concentration_product * k_reaction * threshold_flag * densityTerm;
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return molar_concentration_product * k_reaction * densityTerm;
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}
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};
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File diff suppressed because it is too large
Load Diff
@@ -78,7 +78,7 @@ namespace gridfire::screening {
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) const override;
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private:
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/// @brief Logger instance for recording trace and debug information.
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quill::Logger* m_logger = fourdst::logging::LogManager::getInstance().getLogger("log");
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[[maybe_unused]] quill::Logger* m_logger = fourdst::logging::LogManager::getInstance().getLogger("log");
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private:
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/**
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