parameters

These are the fit parameter objects. They store the name, the value and the error of each parameter and are used in various fitting tools.

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class LT_Fit.parameters.Parameter(value, name='var', err=0.0)

Define a parameter as follows:

>>> import LT_Fit.Parameter as P
>>> mypar = P.Parameter(0.)
>>> mypar = P.Parameter(0., 'my_first_parameter')
>>> mypar = P.Parameter(0., name = 'my_first_parameter')
>>> mypar = P.Parameter(0., name = 'my_first_parameter', err = 0.1)

Other possible operations:

>>> mypar()     # if the parameter is called it returns it's current value only
>>> mypar.get() # returns the tuple (name, value, error)
>>> print(mypar) # print a string representation of the name, value and error

get()

return the current value

set(value, name=None, err=None)

Set the value of a parameter:

>>> mypar.set(50.) # this value is now 50

Keyword	Meaning
value	set the value
name	assign a name (string)
err	set the error