TY - DATA T1 - Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration" PY - 2024/08/28 AU - Yanik Herrmann AU - Julius Fischer AU - Stijn Scheijen AU - Cornelis F. J. Wolfs AU - Julia M. Brevoord AU - Colin Sauerzapf AU - Leonardo G. C. Wienhoven AU - Laurens J. Feije AU - Martin Eschen AU - Maximilian Ruf UR - DO - 10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c.v1 KW - Optical Cavity KW - Fiber-based Cavity KW - Purcell Enhancement KW - Quantum Communication KW - Quantum Networks KW - Quantum Optics KW - Tin-Vacancy Center KW - Nitrogen-Vacancy Center KW - Diamond N2 - <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> ER -