ModelParameter

class jetset.model_parameters.ModelParameter(**keywords)

Bases: object

This class is the base class for models parameters. The following keywords arguments can be passed to the constructor

Parameters:

• name ((str) parameter name (default='unk'))

• val ((float) parameter value)

• par_type ((str) parameter type (default='unk'))

• units ((str) units of the parameter, (default='No'))

• val_min ((float) minimum physical value)

• val_max ((float) maximum physical value)

• val_start ((float) starting value)

• val_last_call ((float) last call value)

• fit_range_min ((float) minimum boundary value for the fit)

• fit_range_max ((float) maximum boundary value for the fit)

• frozen ((bool) boolean flag for frozen parameter (default=False))

• log ((bool) boolean flag for log-scale value (default=False))

name

Type:

(str) parameter name (default=’unk’)

val

Type:

(float) parameter value

par_type

Type:

(str) parameter type (default=’unk’)

units

Type:

(str) units of the parameter, (default=’No’)

val_min

Type:

(float) minimum physical value

val_max

Type:

(float) maximum physical value

val_start

Type:

(float) starting value

val_last_call

Type:

(float) last call value

fit_range_min

Type:

(float) minimum boundary value for the fit

fit_range_max

Type:

(float) maximum boundary value for the fit

frozen

Type:

(bool) boolean flag for frozen parameter (default=False)

log

Type:

(bool) boolean flag for log-scale value (default=False)

Attributes Summary

adimensional
fit_range
frozen
immutable
islog
linked
par_expr
par_expression_source_code
units
val
val_lin
val_log

Methods Summary

free()	make a parameter free
freeze()	freezes a parameter
get(*args)
get_bestfit_description([nofields])	gives the value of each member of the ModelParameter objects, suited for the best-fit values
get_description([nofields])	gives the value of each member of the ModelParameter objects, except the best-fit values
get_fit_initial_value()	Gives the initial fit value of the parameter
identity_func()
reset_dependencies()
set(*args[, skip_dep_par_warning])	sets a parameter value checking for physical boundaries
set_fit_initial_value(val)	Sets the initial fit value of the parameter
show()	Prints the description of a parameter
show_best_fit()	Prints the best-fit description of a parameter
to(units)

Attributes Documentation

adimensional

fit_range

frozen

immutable

islog

linked

par_expr

par_expression_source_code

units

val

val_lin

val_log

Methods Documentation

free()

make a parameter free

freeze()

freezes a parameter

get(*args)

get_bestfit_description(nofields=False)

gives the value of each member of the ModelParameter objects, suited for the best-fit values

Returns:

descr – a string describing all the parameter values, suited for the best-fit values

Return type:

(str)

get_description(nofields=False)

gives the value of each member of the ModelParameter objects, except the best-fit values

Returns:

descr – a string describing all the parameter values, except the best-fit values

Return type:

(str)

get_fit_initial_value()

Gives the initial fit value of the parameter

Returns:

val_start – the parameter initial value

Return type:

value

identity_func()

reset_dependencies()

set(*args, skip_dep_par_warning=False, **keywords)

sets a parameter value checking for physical boundaries

Parameters: keywords of the constructor

set_fit_initial_value(val)

Sets the initial fit value of the parameter

show()

Prints the description of a parameter

show_best_fit()

Prints the best-fit description of a parameter

to(units)