singleshot_logic.SingleShotLogic Class Reference

This class brings raw data coming from fastcounter measurements (gated or ungated) into trace form processable by the trace_analysis_logic. More...

Inheritance diagram for singleshot_logic.SingleShotLogic:

Collaboration diagram for singleshot_logic.SingleShotLogic:

Public Member Functions
def	__init__ (self, config, kwargs)
	Create CounterLogic object with connectors. More...
def	on_activate (self)
	Initialisation performed during activation of the module.
def	on_deactivate (self)
	Deinitialisation performed during deactivation of the module. More...
def	get_data (self, fastcounter='fastcomtec')
	get the singleshot data from the fastcounter along with its shape More...
def	find_laser (self, smoothing=10.0, n_laserpulses=2)
	returns the start and stop indices of laserpulses More...
def	sum_laserpulse (self, smoothing=10.0, n_laserpulses=2)
def	get_normalized_signal (self, smoothing=10.0)
def	calc_all_binnings (self, num_bins=100)
	calculate reasonable binnings of the signal More...
def	calc_all_binnings_normalized (self, num_bins=100)
	Calculate all normalized binnings from singleshot data. More...
def	get_timetrace (self)
def	do_singleshot (self, mw_dict=None, refocus=True, laser_wfm='LaserOn', singleshot_wfm='SSR_normalise_2MW', normalized=True)
def	do_pulsed_odmr (self, measurement_time, controlled_vals_start, controlled_vals_incr, num_of_lasers, sequence_length_s, refocus=True, pulsedODMR_wfm='PulsedODMR', save_tag='')
	A function to do pulsed odmr. More...
def	save_singleshot (self, tag=None, normalized=True, visualize=True)
def	visualize_bin_list (self, bin_list, path)
	Will create a histogram of all bin_list entries and save it to the specified path.
def	ssr_measurement_analysis (self, record_length)
	Gets executed when a single shot measurment has finished. More...
def	do_calculate_histogram (self, data)
	Passes all the needed parameters to the appropriated methods. More...
def	do_calculate_trace (self, time_axis, data)

Public Attributes
	hist_data
	data_dict
	trace

Static Public Attributes
	savelogic = Connector(interface='SaveLogic')
	fitlogic = Connector(interface='FitLogic')
	fastcounter = Connector(interface='FastCounterInterface')
	pulseextractionlogic = Connector(interface='PulseExtractionLogic')
	pulsedmeasurementlogic = Connector(interface='PulsedMeasurementLogic')
	traceanalysislogic1 = Connector(interface='TraceAnalysisLogic')
	pulsegenerator = Connector(interface='PulserInterface')
	scannerlogic = Connector(interface='ScannerLogic')
	optimizerlogic = Connector(interface='OptimizerLogic')
	pulsedmasterlogic = Connector(interface='PulsedMasterLogic')
	odmrlogic = Connector(interface='ODMRLogic')
	sigHistogramUpdated = QtCore.Signal()
	sigMeasurementFinished = QtCore.Signal()
	sigTraceUpdated = QtCore.Signal()

Detailed Description

This class brings raw data coming from fastcounter measurements (gated or ungated) into trace form processable by the trace_analysis_logic.

Constructor & Destructor Documentation

__init__()

def singleshot_logic.SingleShotLogic.__init__	(		self,
			config,
			kwargs
	)

Create CounterLogic object with connectors.

Parameters

dict	config: module configuration
dict	kwargs: optional parameters

Member Function Documentation

calc_all_binnings()

def singleshot_logic.SingleShotLogic.calc_all_binnings	(		self,
			num_bins = 100
	)

calculate reasonable binnings of the signal

Parameters

int	num_bins: minimal number the binnings can have

Returns

list bin_list: Contains the arrays with the binned data. Data is structured as follows: bin_list[0] is the initial binning given by the measurement and then going up.

calc_all_binnings_normalized()

def singleshot_logic.SingleShotLogic.calc_all_binnings_normalized	(		self,
			num_bins = 100
	)

Calculate all normalized binnings from singleshot data.

Parameters

integer

num_bins: Tells how many data points should still remain ( in this sense restricts the maximum number of data points added up together )

Returns

list normalized_bin_list: The entries are numpy arrays that represent different binnings ( 1 to n values)

do_calculate_histogram()

def singleshot_logic.SingleShotLogic.do_calculate_histogram	(		self,
			data
	)

Passes all the needed parameters to the appropriated methods.

Returns

:

do_pulsed_odmr()

def singleshot_logic.SingleShotLogic.do_pulsed_odmr	(		self,
			measurement_time,
			controlled_vals_start,
			controlled_vals_incr,
			num_of_lasers,
			sequence_length_s,
			refocus = True,
			pulsedODMR_wfm = 'PulsedODMR',
			save_tag = ''
	)

A function to do pulsed odmr.

Important as exact transition frequencies are important.

Parameters

measurement_time
controlled_vals_start
controlled_vals_incr
num_of_lasers
sequence_length_s
refocus
pulsedODMR_wfm
save_tag

Returns

:

find_laser()

def singleshot_logic.SingleShotLogic.find_laser	(		self,
			smoothing = 10.0,
			n_laserpulses = 2
	)

returns the start and stop indices of laserpulses

Parameters

smoothing	smoothing data to improve flank detection
n_laserpulses	the number of laserpulses expected in the data

Returns

: list containing tupels of start and stop values of individual laser pulses

get_data()

def singleshot_logic.SingleShotLogic.get_data	(		self,
			fastcounter = 'fastcomtec'
	)

get the singleshot data from the fastcounter along with its shape

Parameters

on_deactivate()

def singleshot_logic.SingleShotLogic.on_deactivate

(

self

)

Deinitialisation performed during deactivation of the module.

Parameters

object

e: Event class object from Fysom. A more detailed explanation can be found in method activation.

ssr_measurement_analysis()

def singleshot_logic.SingleShotLogic.ssr_measurement_analysis	(		self,
			record_length
	)

Gets executed when a single shot measurment has finished.

This function will update GUI elements

Parameters

record_length

Returns

:

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The documentation for this class was generated from the following file:

• logic/singleshot_logic.py