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RIS citation export for SUPFDV001: Update on Nitrogen Infusion Sample R&D at DESY

TY  - CONF
AU  - Bate, C.
AU  - Dangwal Pandey, A.
AU  - Ermakov, A.
AU  - Foster, B.
AU  - Hillert, W.
AU  - Keller, T.F.
AU  - Reschke, D.
AU  - Schaffran, J.
AU  - Sievers, S.
AU  - Weise, H.
AU  - Wenskat, M.
ED  - Saito, Kenji
ED  - Xu, Ting
ED  - Sakamoto, Naruhiko
ED  - Lesage, Ana
ED  - Schaa, Volker R.W.
TI  - Update on Nitrogen Infusion Sample R&D at DESY
J2  - Proc. of SRF2021, East Lansing, MI, USA, 28 June-02 July 2021
CY  - East Lansing, MI, USA
T2  - International Conference on RF Superconductivity
T3  - 20
LA  - english
AB  - Many accelerator projects such as the European XFEL cw upgrade or the ILC, would benefit from cavities with reduced surface resistance (high Q-values) while maintaining a high accelerating gradient. A possible way to meet the requirements is the so-called nitrogen-infusion procedure on Niobium cavities. However, a fundamental understanding and a theoretical model of this method are still missing. The approach shown here is based on R\&D using small samples, with the goal of identifying all key parameters of the process and establishing a stable, reproducible recipe. To understand the underlying processes of the surface evolution that give improved cavity performance, advanced surface-analysis techniques (e.g. SEM/EDX, TEM, XPS, TOF-SIMS) are utilized and several kinds of samples are analyzed. Furthermore, parameters such as RRR and the surface critical magnetic field denoted as H_{c3} have been investigated. For this purpose, a small furnace dedicated to sample treatment was set up to change and explore the parameter space of the infusion recipe. Results of these analyses and their implications for the R\&D on cavities are presented.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 57
EP  - 61
KW  - niobium
KW  - vacuum
KW  - cavity
KW  - superconductivity
KW  - SRF
DA  - 2022/10
PY  - 2022
SN  - 2673-5504
SN  - 978-3-95450-233-2
DO  - doi:10.18429/JACoW-SRF2021-SUPFDV001
UR  - https://jacow.org/srf2021/papers/supfdv001.pdf
ER  -