Parameter

class gammapy.utils.fitting.Parameter(name, factor, unit='', scale=1, min=nan, max=nan, frozen=False)

Bases: object

Class representing model parameters.

Parameters:

name : str

Name

factor : float or Quantity

Factor

scale : float, optional

Scale (sometimes used in fitting)

unit : Unit or str, optional

Unit

min : float, optional

Minimum (sometimes used in fitting)

max : float, optional

Maximum (sometimes used in fitting)

frozen : bool, optional

Frozen? (used in fitting)

Attributes Summary

factor	Factor (float).
frozen	Frozen? (used in fitting) (bool).
max	Maximum (float).
min	Minimum (float).
name	Name (str).
quantity	Value times unit (Quantity).
scale	Scale (float).
unit	Unit (Unit).
value	Value = factor x scale (float).

Methods Summary

autoscale([method])	Autoscale the parameters.
to_dict()

Attributes Documentation

factor

Factor (float).

frozen

Frozen? (used in fitting) (bool).

max

Maximum (float).

min

Minimum (float).

name

Name (str).

quantity

Value times unit (Quantity).

scale

Scale (float).

unit

Unit (Unit).

value

Value = factor x scale (float).

Methods Documentation

autoscale(method='scale10')

Autoscale the parameters.

Set factor and scale according to method

Available methods:

• scale10 sets scale to power of 10, so that factor is in the range 1 to 10
• factor1 sets factor, scale = 1, value

Parameters:

method : {‘factor1’, ‘scale10’}

Method to apply

to_dict()