Study of impurity distribution in mechanically polished, chemically treated and high vacuum degassed pure Niobium samples using TOFSIMS technique
A. Bose, S. C. Joshi Raja Ramanna Centre for Advanced Technology

TL;DR
This study investigates how different surface treatments and their sequences affect impurity distribution in niobium samples used for SRF cavities, using TOFSIMS to analyze impurities within the surface layer.
Contribution
It demonstrates the impact of treatment sequence on impurity levels in niobium and validates TOFSIMS as an effective tool for analyzing SRF surface treatments.
Findings
BCP reduces hydrocarbons and metallic contamination
HPR effectively reduces acidic impurities
Impurity distribution depends on treatment sequence
Abstract
The performance of Superconducting radio frequency cavities (SRF) is strongly influenced by various impurities within the penetration depth (~50nm) of Nb, which in turn depends on the applied surface treatments. The effect of these surface treatments on the impurities of Nb has been explored using various surface analytical treatments. But, the results are still inadequate in many aspects and the effect of sequential SRF treatments on the impurity distribution has not been explored. The present study analyses various impurities within the penetration depth of Nb samples, treated by SRF cavity processing techniques like colloidal silica polishing (simulating centrifugal barrel polishing), buffer chemical polishing (BCP), high pressure rinsing (HPR) and degassing under high vacuum (HV) condition at 600{\deg}C for 10hrs. Static, dynamic and slow sputtering modes of Time of flight secondary…
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Taxonomy
TopicsParticle accelerators and beam dynamics · Plasma Diagnostics and Applications · Atomic and Molecular Physics
