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fitPV17.yaml
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fitPV17.yaml
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# Short descrition of the fit that will appear in the report of the
# fit
Description: "Test fit with the Pavia 17 parameterisation."
# Minimiser to be used for the fit. Possible options so far are
# 'minuit', 'ceres', and 'none'.
Minimiser: minuit
# Seed used with the random-number generator for the generation of the
# Monte Carlo replicas
Seed: '1234'
# Cut on qT / Q. This has to be smaller than the production cut used
# to produce the tables.
qToQmax: '0.2'
# Percentile cut (in percent) on the distribution of chi2's, error
# functions and parameters used to identify outliers.
Percentile cut: '5'
# Enable or disable the t0 prescription for the treatment of
# normalisation uncertantities and define the set of parameters to be
# used to compute the corresponding predictions (used only if the t0
# prescriprion is enabled). They have to be as many and ordered as the
# "Parameters" below.
t0prescription: true
t0parameters: [0.128, 0.285, 2.98, 0.173, 0.39, 0.212, 2.10, 0.094, 2.52, 5.29, 0.033]
# Parameterisation to be fitted to data. This has to correspond to a
# derivarion of the "Parameterisation" class.
Parameterisation: PV17
# Fluctuate initial parameters according to their step
Paramfluct: false
# List of parameters to be fitted to data. This requires that the
# number and order of parameters matches those expected by the
# particular parameterisation being used.
Parameters:
- {name: "g2", starting_value: 0.128, step: 0.001, fix: false}#, lower_bound: 0, upper_bound: 10}
- {name: "N1", starting_value: 0.285, step: 0.003, fix: false}#, lower_bound: 0, upper_bound: 10}
- {name: "alpha", starting_value: 2.98, step: 0.030, fix: false}#, lower_bound: 0, upper_bound: 10}
- {name: "sigma", starting_value: 0.173, step: 0.002, fix: false}#, lower_bound: 0, upper_bound: 10}
- {name: "lambda", starting_value: 0.39, step: 0.005, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "N3", starting_value: 0.212, step: 0.002, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "beta", starting_value: 2.10, step: 0.02, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "delta", starting_value: 0.094, step: 0.02, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "gamma", starting_value: 2.52, step: 0.001, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "lambdaF", starting_value: 5.29, step: 0.05, fix: true }#, lower_bound: 0, upper_bound: 10}
- {name: "N4", starting_value: 0.033, step: 0.001, fix: true }#, lower_bound: 0, upper_bound: 10}