The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
@inproceedings{garciamorales:ipac2021-mopab184,
author = {H. Garcia Morales and E. Fol and R. Tomás García},
title = {{Unsupervised Learning Techniques for Tune Cleaning Measurement}},
booktitle = {Proc. IPAC'21},
pages = {624--627},
eid = {MOPAB184},
language = {english},
keywords = {ISOL, optics, coupling, luminosity, quadrupole},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-MOPAB184},
url = {https://jacow.org/ipac2021/papers/mopab184.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-MOPAB184},
abstract = {{Precise measurements of tune and its stability are crucial for various optics analyses in the LHC, e.g. for the determination of the beta star using K-modulation. LHC BBQ system provides tune measurements online and stores the tune data. We apply unsupervised machine learning techniques on BBQ tune data in order to provide an automatic outlier detection method for better measurements of tune shifts and unexpected tune jitters.}},
}