Algorithms

Algorithms have as input data (typically as a QCoDeS dataset or a numpy array) and parameters of the algorithm. The output is a dictionary with the main results as keys of the dictionary.

Example algorithms in notebooks

Most of the algorithms are documented in the Example notebooks section.

Source code

The source code for the algoritms can be found below:

qtt.algorithms.anticrossing	Functions to analyse anti-crossings in charge stability diagrams.
qtt.algorithms.awg_to_plunger	Functionality to determine the awg_to_plunger ratio.
qtt.algorithms.bias_triangles	Functionality to analyse bias triangles
qtt.algorithms.chargesensor	Analyse effect of sensing dot on fitting of tunnel barrier
qtt.algorithms.coulomb	Functions to fit and analyse Coulomb peaks
qtt.algorithms.fitting	Fitting of Fermi-Dirac distributions.
qtt.algorithms.functions	Mathematical functions and models
qtt.algorithms.gatesweep	Functionality to analyse pinch-off scans
qtt.algorithms.generic	Various functions
qtt.algorithms.images	Functionality to analyse and pre-process images
qtt.algorithms.misc	Misc algorithms
qtt.algorithms.ohmic	Functionality to fit scans of ohmic contacts
qtt.algorithms.onedot	Functionality for analysis of single quantum dots
qtt.algorithms.pat_fitting	Functionality to fit PAT models
qtt.algorithms.random_telegraph_signal	Functionality to analyse random telegraph signals
qtt.algorithms.tunneling	Functionality for analysing inter-dot tunnel frequencies.

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