Mitigation and control of instabilities in DAFNE positron ring
Alessandro Drago, David Alesini, Theo Demma, Alessandro Gallo, Susanna, Guiducci, Catia Milardi, Pantaleo Raimondi, Mikhail Zobov (Istituto Nazionale, di Fisica, Nucleare Laboratori Nazionali di Frascati, Frascati, Italy)

TL;DR
This paper discusses the various mitigation strategies implemented in the DAFNE positron ring to control e-cloud instabilities, including feedback systems, solenoids, and clearing electrodes, supported by diagnostic evaluations.
Contribution
It presents a comprehensive overview of the combined use of feedback, solenoids, and electrodes to mitigate instabilities in the DAFNE positron ring, with detailed diagnostic assessments.
Findings
Feedback systems effectively monitor instability growth rates.
Solenoids and electrodes reduce instability effects.
Diagnostics enable optimal device setup and performance evaluation.
Abstract
The positron beam in the DAFNE e+/e- collider has always been suffering from strong e-cloud instabilities. In order to cope with them, several approaches have been adopted along the years: flexible and powerful bunch-by-bunch feedback systems, solenoids around the straight sections of the vacuum chamber and, in the last runs, e-cloud clearing electrodes inside the bending and wiggler magnets. Of course classic diagnostics tools have been used to evaluate the effectiveness of the adopted measures and the correct setup of the devices, in order to acquire total beam and bunch-by-bunch currents, to plot in real time synchrotron and betatron instabilities, to verify the vertical beam size enlargement in collision and out of collision. Besides, to evaluate the efficacy of the solenoids and of the clearing electrodes versus the instability speed, the more powerful tools have been the special…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
