|----------------------------------------------------------------------

        | Run-time MC_fit 7.1.15 options:

        | MC_fit reads options from both perplex_option.dat and MC_fit_option.dat

        | see: perplex.ethz.ch/MC_fit_documentation/html/options.html for details

        |-------------------------------------------------------------
        | NOTE: to avoid accidental option settings, create personalized and/or
        | problem specific option files (e.g., my_problem_option.dat) that specify 
        | only those options that have non-default values. 
        |-------------------------------------------------------------

        | Comments must be preceeded by the "|" character.

        | 0) All keywords accept the default value, in which case the keyword is assigned its default attributes.
        | 1) Keywords and values are case sensitive.
        | 2) Keywords that take the value T (true) or F (false) are always binary.
        | 3) Keywords that take the value on, always may take the value off, but may accept other values as indicated below.
        | 4) Default keyword values are indicated in square brackets in the comment following each keyword.

        | To change the value of an option from "default" the word "default" 
        | must be replaced with the desired value. For example, to change the molar_composition_input 
        | option from its default value of T (true) to F (false), the keyword value must be changed from 

        | molar_compostion_input    default | ...

        |   to 

        | molar_composition_input     F     | ...

|----------------------------------------------------------------------

molar_composition_input       default | [T] T => input compositions are in molar units; F => mass (wt) units (~lmass)
kiso                          default | [F] T => convert molar compositions to mass units and terminate (kiso)
thermobarometry               default | [T] F => invert observational data for thermodynamic parameters (~invxpt)
MINIM_algorithm               default | [T] T => use MINIM (Nelder-Mead) algorithm to find best fit model; F => use grid search (~mcgrid)
Bayes                         default | [F] F => minimize misfit to select best model; T => use maximum Bayes score (bayes)
perturbation_hot_start        default | [F] T => do perturbation analysis around user specified inversion coordinate (mchot)
GRH                           default | [F] T => use George's normalizations, etc. (GRH)
model_output                  default | [all] improved or best => which sucessful models are output (bstout)
vital_sign                    default | [T] T => output objective function counter (vital)
seed                          default | [F] F => don't seed random number generator (seed)
must_fit_all_data             default | [F] T => results only accepted if all analytical data if fit within uncertainty*uncertainty_multiplier (mustft)
no_missing_phases             default | [T] T => do not accept models that fail to predict all observed phases (nomiss)
relative_error                default | [T] T => input uncertainties are relative error; F => absolute error (relerr)
best_central_model            default | [T] T => use best central model for uncertainty analysis (~newstt)
uncertainties                 default | [all] analytical or thermodynamic => which components of the uncertainty are evaluated (invunc)
Nelder-Mead_covariance        default | [F] T => include Nelder-Meade covariance matrix in model output ()
uncertainty_plus              default | [T] T => add Nelder-Meade covariance to perturbation analysis uncertainty
objective_composition         default | [Chi] LSQ or wChi => objective function for compositional data (lsqchi)
objective_mode                default | [Chi] LSQ or wChi => objective function for modal scoring (lsqchi)
OBJF_filter_value             default | [1d5] => maximum acceptable OBJF value for a sucessful result (mxobjf)
max_OBJF_value                default | [1d5] => maximum value of the objective function, larger values trigger an error (oktol)
convergence_threshold         default | [1d-4] => maximum variance of the objective function for MINIM convergence (invtol)
w_composition                 default | [1d0] for Chi and LSQ, [1d-4] for wChi => weighting factor for the composition term of the objective function (wcomp)
w_extra                       default | [1d4] => weighting factor for the extraneous phase term of the objective function (wextra)
w_missing                     default | [1d3] => weighting factor for the missing phase term of the objective function (wmiss)

number_of_tries               default | [100] => number of tries during search for the best central model (mtry)
number_of_perturbations       default | [100] => number of perturbations for the uncertainty analysis (nunc(1))
number_of_perturbation_tries  default | [1d-3] => criterion to decide if final simplex should be expanded prior to quadratic fitting (simplx)
step_size                     default | [0.1] => fractional step size (frac)
convergence_testing           default | [10] => frequency of testing for convergence (conchk)
print_level                   default | [0], 0 => normal, < 0 => silent, > 0 => verbose (jprint)
quadratic_fitting             default | [F] T => use quadratic surface fitting to improve location of the minimum
max_OBJF_evaluations          default | [1000] => maximum number of objective function evaluations permitted for a try (kcount)

prior_probability_PT_only     default | [T] T => for Bayes scoring, base prior probabilities only on inital pressure-temperature range; F => use all parameters
range_to_standard_error       default | [2.0] => for Bayes scoring, parameter_range/2/standard_error
uncertainty_multiplier        default | [2.0] => for fit criterion, observational data must fit within uncertainty * uncertainty_multiplier