%0 Generic
%A Herrmann, Yanik
%A Fischer , Julius
%A Scheijen, Stijn
%A Wolfs, Cornelis F. J.
%A Brevoord, Julia M.
%A Sauerzapf, Colin
%A Wienhoven, Leonardo G. C.
%A Feije, Laurens J.
%A Eschen, Martin
%A Ruf, Maximilian
%D 2024
%T Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration"
%U 
%R 10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c.v2
%K Optical Cavity
%K Fiber-based Cavity
%K Purcell Enhancement
%K Quantum Communication
%K Quantum Networks
%K Quantum Optics
%K Tin-Vacancy Center
%K Nitrogen-Vacancy Center
%K Diamond
%X <p>Data underlying the research article "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration". In this physics paper, we present the design, operation and performance of a novel microcavity setup, which can be used to enhance the emission of quantum emitters incorporated into the cavity. We demonstrate a passive stability of a few tens of picometer combined with low temperatures, and show that Nitrogen- and Tin-Vacancy centers in diamond can be coupled to the cavity. The measurements are performed in a quantum optics laboratory.</p><p>The dataset contains the measured data and the python code to analyse and reproduce the figures shown in the text. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based data acquisition framework Quantify. The measured data is stored in individual hdf5 files, with a unique timestamp and identifier. Analysed data is stored in hdf5 files named processed dataset.</p><p>Please see the README.md file for instructions on how to analyse the data and reproduce the figures.</p>
%I 4TU.ResearchData