| |
- __builtin__.object
-
- Calibration
class Calibration(__builtin__.object) |
|
Represents a calibration instance, a generic class to hold sets
of measurements, ideals, and calibration results.
all calibration algorithms are in calibrationAlgorithms.py, and are
referenced by the dictionary in this object called
'calibration_algorihtm_dict' |
|
Methods defined here:
- __init__(self, frequency, type, name=None, is_reciprocal=False, **kwargs)
- Calibration initializer
takes:
frequency: a Frequency object over which the calibration
is defined
type: string representing what type of calibration is to be
performed. supported types at the moment are:
'one port': standard one-port cal. if more than
2 measurement/ideal pairs are given it will
calculate the least squares solution.
'one port xds': self-calibration of a unknown-length
delay-shorts.
**kwargs: key-word arguments passed to teh calibration
algorithm.
name: name of calibration, just a handy identifing string
is_reciprocal: enables the reciprocity assumption on
calculated error network
- apply_cal(self, input_ntwk)
- apply the current calibration to a measurement.
takes:
input_ntwk: the measurement to apply the calibration to, a
Network type.
returns:
caled: the calibrated measurement, a Network type.
- apply_cal_to_all_in_dir(self, dir, contains=None, f_unit='ghz')
- convience function to apply calibration to an entire directory
of measurements, and return a dictionary of the calibrated
results, optionally the user can 'grep' the direction
by using the contains switch.
takes:
dir: directory of measurements (string)
contains: will only load measurements who's filename contains
this string.
f_unit: frequency unit, to use for all networks. see
frequency.Frequency.unit for info.
returns:
ntwkDict: a dictionary of calibrated measurements, the keys
are the filenames.
- run(self)
- runs the calibration algorihtm.
this is automatically called the
first time any dependent property is referenced (like error_ntwk)
, but only the first time. if you change something and want to
re-run the calibration use this.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- coefs
- coefs: a dictionary holding the calibration coefficients
for one port cal's
'directivity':e00
'reflection tracking':e01e10
'source match':e11
- error_ntwk
- a Network type which represents the error network being
calibrated out.
- output_from_cal
- a dictionary holding all of the output from the calibration
algorithm
- type
- string representing what type of calibration is to be
performed. supported types at the moment are:
'one port': standard one-port cal. if more than
2 measurement/ideal pairs are given it will
calculate the least squares solution.
'one port xds': self-calibration of a unknown-length
delay-shorts.
note:
algorithms referenced by calibration_algorithm_dict
Data and other attributes defined here:
- calibration_algorithm_dict = {'one port': <function one_port>, 'one port xds': <function xds>, 'one port xds_xdl': <function xds_xdl>}
| |