RF Antenna Desıgn For Button-Type Beam Posıtıon Monıtors Usıng Bıo-Inspıred Optımızatıon Methods
dc.contributor.author | Aydın, Ayhan | |
dc.contributor.author | Bostancı, Gazi Erhan | |
dc.contributor.department | Bilgisayar Mühendisliği | tr_TR |
dc.contributor.faculty | Mühendislik Fakültesi | tr_TR |
dc.date.accessioned | 2021-12-01T11:34:34Z | |
dc.date.available | 2021-12-01T11:34:34Z | |
dc.date.issued | 2020-06-30 | |
dc.description.abstract | Accelerator based facilities are in a leading position for crafting many scientific and technical innovations for a wide range of application from aviation to medicine. Beam Position Monitors (BPMs) are critical diagnostics tools for such facilities. This study presents bio-inspired methods known as Particle Swarm Optimization and Evolutionary Algorithms in order to design RF antennas for button-type BPMs. Our results show that the antenna parameters obtained using this multiple objective approaches present suitable SNR and linearity values for signal processing. It is found that using an antenna radius of 5.5 mm and beam-pipe radius of 17.5 mm, we can obtain SNR values around 40 dB which can be electronically processed. | tr_TR |
dc.description.index | Trdizin | tr_TR |
dc.identifier.endpage | 70 | tr_TR |
dc.identifier.issn/e-issn | 2618-6462 | |
dc.identifier.issue | 1 | tr_TR |
dc.identifier.startpage | 63 | tr_TR |
dc.identifier.uri | http://hdl.handle.net/20.500.12575/76552 | |
dc.identifier.volume | 62 | tr_TR |
dc.language.iso | en | tr_TR |
dc.publisher | Ankara Üniversitesi Fen Fakültesi | tr_TR |
dc.relation.journal | Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | tr_TR |
dc.subject | Multiple objective evolutionary algorithms | tr_TR |
dc.subject | RF Antenna Design | tr_TR |
dc.subject | Beam position monitors | tr_TR |
dc.title | RF Antenna Desıgn For Button-Type Beam Posıtıon Monıtors Usıng Bıo-Inspıred Optımızatıon Methods | tr_TR |
dc.type | Article | tr_TR |