Internal parameters
This section provides an overview over all the internal FastChem
parameters that can be adjusted via the aforementioned
void FastChem.setParameter(std::string param_name,
param_type param_value)
method of the C++ object class or with its Python equivalent
pyfastchem.setParameter(str param_name,
param_type param_value)
More detailed explanations on what these parameters do can be found in Stock et al. (2018), Stock, Kitzmann & Patzer (2022), and Kitzmann, Stock & Patzer (2023)
If the setParameter
method is used within Python, the C++
double
types listed in the following should be replaced by Python float
values, while unsigned int
are used as int
. PyBind11
often converts the Python bool
type to an integer value rather than a C++
bool
type. Setting a boolean parameter will then result in an error message. In such a case, instead of using a simple True
as parameter value, an explicit conversion has to be done instead, for example via np.bool_(True)
.
Standard parameters
accuracyChem
Relative accuracy requirement for chemistry iteration and internal solvers (except Newton’s method).
Type: double
Default value: 1e-5
accuracyElementConservation
Relative accuracy for checking the element conservation.
Type: double
Default value: 1e-4
accuracyNewton
Relative accuracy requirement for accuracy requirement for Newton’s method.
Type: double
Default value: 1e-5
accuracyCond
Relative accuracy requirement for condensation calculations.
Type: double
Default value: 1e-5
nbIterationsChemCond
Maximum number of combined gas phase chemistry and condensate calculations.
Type: unsigned int
Default value: 3000
nbIterationsChem
Maximum number of chemistry iterations.
Type: unsigned int
Default value: 3000
nbIterationsCond
Maximum number of condensate calculation iterations.
Type: unsigned int
Default value: 3000
nbSwitchToNewton
Number of iterations above which the gas phase calculations switch to a multi-dimensional Newton’s method.
Type: unsigned int
Default value: 400
nbIterationsNewton
Maximum number of iterations for Newton’s method.
Type: unsigned int
Default value: 3000
nbIterationsBisection
Maximum number of iterations for the bisection method.
Type: unsigned int
Default value: 3000
nbIterationsNelderMead
Maximum number of iterations for the Nelder-Mead method.
Type: unsigned int
Default value: 3000
Advanced parameters
The following parameters can be considered potentially dangerous and
should only be adjusted by users who know exactly what these
parameters actually do and which side effects they may have.
useScalingFactor
Use the additional scaling factor for the \(\log K\) in case they become too large. FastChem
will estimate a corresponding scaling factor. An additional one can be added via the additionalScaling
parameter.
Type: bool
Default value: false
additionalScaling
Additional scaling factor, added to the one FastChem
estimates internally. Only used if useScalingFactor
is set to true
.
Type: double
Default value: 0
minDensityExponentElement
Exponent for the minimum number density of elements.
Type: double
Default value: -155 (double) or -512 (long double)
minDensityExponentMolecules
Exponent for the minimum number density of molecules&ions.
Type: double
Default value: -155 (double) or -512 (long double)
maxLogK
Maximum value for the \(\log K\) of molecules and ions.
Type: double
Default value: 1e10
condTau
Baseline \(\tau\) value for condensates.
Type: double
Default value: 1e-15
condIterChangeLimit
Maximum change of condensate densities per iteration step in log10 space.
Type: double
Default value: 5
condSolveFullSystem
Solve the full condensate system of equations without eliminating the \(\lambda_c\). Iteration will be slower but potentially more stable.
Type: bool
Default value: false
condReduceSystemSize
Reduce the size of the condensate system of equations by removing unstable condensates.
Type: bool
Default value: true
condUseFullPivot
Solve the condensate system of equations using an LU decomposition with full pivoting. This enables the detection of singular Jacobians but is slower than the default partial pivoting. If a singular matrix is detected, the system is solved by a perturbed Hessian matrix or by using a singular value decomposition.
Type: bool
Default value: false
condUseSVD
Solve the condensate system of equations using a singular value decomposition (SVD) in case the Jacobian is singular. This requires condUseFullPivot
to be set to true
as well to detect a singular matrix.
Type: bool
Default value: false
useCondDataValidityLimit
Use data temperature limits from the condensate input file and avoid extrapolation outside the validity range of the fitted data. Outside the validity range, the activity of condensates is automatically set to a very small value.
Type: bool
Default value: true