Geometrical corrections for accurate fitting of the field dependent surface resistance for superconducting accelerating cavities

Autor: D. Longuevergne
Přispěvatelé: Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Nucl.Instrum.Meth.A
Nucl.Instrum.Meth.A, 2018, 910, pp.41-48. ⟨10.1016/j.nima.2018.08.005⟩
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier, 2018, 910, pp.41-48. ⟨10.1016/j.nima.2018.08.005⟩
ISSN: 0168-9002
DOI: 10.1016/j.nima.2018.08.005⟩
Popis: The different processes at the origin of the dependence of the surface resistance with the RF magnetic field are still not fully understood. Several models have emerged since many years to explain the drop of the quality factor Q 0 (commonly called Q-drop) of a superconducting cavity versus the accelerating gradient. Experimental data are commonly fitted by applying a coarse approximation to convert the Q 0 (a global property) into a surface resistance (local property). Extracting accurately the surface resistance from experimental data requires to take into account the RF field distribution over the accelerating structure contrary to what is commonly done in the community. Assuming a field dependent surface resistance does not allow anymore to use the well-known formula Q 0 = G ∕ R s . This paper gives a procedure to perform an accurate conversion of the quality factor measured during a cavity test into a surface resistance to avoid any error in the evaluation of fitting parameters due to the geometry.
Databáze: OpenAIRE