TY - DATA
T1 - Data underlying the publication "A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave Integration"
PY - 2024/12/19
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.v2
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 -