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junginger@uvic.ca

Comment on “Strong Meissner screening change in superconducting radio frequency cavities due to mild baking” [Appl. Phys. Lett. 104, 072601 (2014)]

Ryan M. L. McFadden rmlm@triumf.ca TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, Victoria, BC V8P 5C2, Canada    Md Asaduzzaman TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, Victoria, BC V8P 5C2, Canada    Tobias Junginger TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, Victoria, BC V8P 5C2, Canada
(July 26, 2025)

In a recent Letter by Romanenko et al. [1], the authors used low-energy muon spin rotation (LE-μ\muSR) [2, 3] to measure the Meissner screening profile in cutouts from \chNb superconducting radio frequency (SRF) cavities, systematically comparing how different surface treatments affect the screening properties of the elemental type-II superconductor. They reported a “strong” modification to the character of the screening profile upon mild baking at 120 °C120\text{\,}\mathrm{\SIUnitSymbolCelsius} for 48 h48\text{\,}\mathrm{h} [4], which was interpreted as a depth-dependent carrier mean-free-path resulting from a “gradient in vacancy concentration” near the surface [1]. While this observation led to speculation that this surface treatment yields an “effective” superconducting bilayer (see e.g., [5]), we suggest that its likeness to such [6] is accidental and that the behavior is an artifact from the analysis.

Issues with the reported analysis are apparent upon scrupulous inspection of Figures 3 and 4 in the Letter [1], where the mean field B\langle B\rangle below the sample surface (obtained through different analysis models) is plotted against the mean muon stopping depth z\langle z\rangle. In Figure 3, where B\langle B\rangle was determined from fits to a Gaussian model (i.e., a Gaussian-damped cosine function), 111We also note that the assignment of the plotted symbols (\blacksquare, \blacktriangle, and \bullet) in Figure 3’s caption [1] are inconsistent with the legend in the inset. Additionally, in both Figures 3 and 4 [1], several points appear at z=0 nm\langle z\rangle=$0\text{\,}\mathrm{nm}$, but without explanation. Clearly, these cannot originate from an actual measurement by LE-μ\muSR where “muon implantation energies of 3.3E25.3 keV3.3\leq E\leq$25.3\text{\,}\mathrm{keV}$ were used”. Romanenko et al. [1] correctly draw attention to the strikingly different B(z)\langle B\rangle(\langle z\rangle) dependence found upon mild baking [4]; however, no mention is made as to why the data deviate from exponential decay (i.e., the well-known form of Meissner screening profiles for thick slabs [8]) for all surface treatments. Instead, the discussion shifts to accounting for non-local electrodynamics [9, 10] and strong electron-phonon coupling [11] in the formulation of B(z)B(z). While the former can cause B(z)B(z) to decay non-exponentially, its effect is known to be subtle for \chNb [12], and it’s unclear how such corrections could account for the abrupt discontinuity observed at z60 nm\langle z\rangle\approx$60\text{\,}\mathrm{nm}$.

This “step” in B\langle B\rangle vs. z\langle z\rangle persists in Figure 4 [1], where B\langle B\rangle was determined from fits to Pippard’s non-local model [9, 12], including results from treating the LE-μ\muSR data individually or as part of a global analysis. Surprisingly, the z\langle z\rangle dependence of the other two cutouts (100-6 and 30-6) appear drastically different from Figure 3, with their field attenuation now resembling an exponential. While this might suggest that the Gaussian analysis is too crude an approach, such a conclusion is inconsistent with earlier LE-μ\muSR measurements on a \chNb thin film [12]. The persistence of the baked sample’s sudden drop in B\langle B\rangle is both conspicuous and non-physical, especially considering that it implies an unrealistically large current density J(z)[dB(z)/dz]/μ0J(z)\equiv-[\mathrm{d}B(z)/\mathrm{d}z]/\mu_{0} (where μ0\mu_{0} is the permeability constant) at the depth of the discontinuity (see e.g., [5, 13]).

Motivated by results from our own investigation into how SRF cavity treatments affect Meissner screening in \chNb (which showed exponential screening profiles for all treatments studied) [14], we revisited the original LE-μ\muSR data reported in the Letter [1]. In general, we find that the “step” near z60 nm\langle z\rangle\approx$60\text{\,}\mathrm{nm}$ is only reproduced when fits adopt parameters with non-physical values. For example, following the Gaussian analysis described in the Letter [1], we obtain the fit parameters shown in Figure˜1, illustrating that the sudden drop in B\langle B\rangle is coincident with a divergence in both the phase ϕi\phi_{i} and initial asymmetry A0,iA_{0,i}, neither of which is realistic 222The phase ϕi\phi_{i} of the spin-precession signal is determined by the μ+\mu^{+} beam properties and should be unchanged across a series of related measurements (e.g., at different implantation energies). Similarly, the initial asymmetry A0,iA_{0,i} is determined by the properties of μ+\mu^{+} decay and the detector setup, with values rarely exceeding 1/3\sim 1/3 (i.e., the value obtained following averaging over all decay positron energies).. This situation is easily rectified by constraining the fit (e.g., through treating the phase as a shared parameter), upon which the “step” vanishes without any meaningful penalty to the overall goodness-of-fit.

To provide a refined assessment of the Meissner screening in the 340-10 cavity cutout, we also re-analyzed the LE-μ\muSR data using the approach described in Ref. 14, wherein a skewed Gaussian is used to approximate the local field distribution along with an improved simulation of μ+\mu^{+} stopping in \chNb. 333At this juncture, we emphasize that there is no “intrinsic” flaw in the analysis approaches described in the Letter [1] and that both should work well when applied diligently. In fact, the workflow outlined in Ref. 14 can be considered as further refinement to the methodology used to characterize \chNb SRF materials using LE-μ\muSR. Screening profiles determined from this procedure are shown in Figure˜2, where any discontinuity in B\langle B\rangle is notably absent. Moreover, we find that the profiles are well-described by an exponential B(z)B(z), as expected for a “dirty” superconductor [8] and consistent with our other results [14]. Note that we also included an effective demagnetization factor N~\tilde{N} in this analysis, which accounts for the (geometric) enhancement of the applied field BappliedB_{\mathrm{applied}} well-into the Meissner state. 444That is, for certain combinations of material geometries and field directions (e.g., a thick slab with the field applied parallel to its surface), the expelled magnetic flux that closely contours the sample’s dimensions can be “squeezed” along certain areas of the material’s surface, leading to the appearance that the applied field has been enhanced (see e.g., Ref. 19). The manifestation of this phenomenon is evident in Figure 1, where at low EE the B\langle B\rangle in the Meissner state exceeds that in the normal state. We stress that incorporating this detail was necessary to correctly describe the data. 555The omission of this detail in the Letter [1] is likely because of it’s seldom use in the literature. For example, most LE-μ\muSR experiments at the time focussed on thin film samples, whose dimensions ensure that N~0\tilde{N}\rightarrow 0.

Refer to caption
Figure 1: Comparison of fit results derived from a Gaussian analysis of the LE-μ\muSR data in a \chNb SRF cavity cutout (340-10) that underwent mild baking at 120 °C120\text{\,}\mathrm{\SIUnitSymbolCelsius} [4], both with and without constraining the phase of the μ+\mu^{+} spin-precession signal. Here, a subset of the fit parameters used by the Gaussian model (see Eqs. (1) and (3) in the Letter [1]) are shown, where ϕi\phi_{i} and A0,iA_{0,i} denote the phase and initial asymmetry of the signal in each detector (differentiated by i=L,Ri=L,R), with σ\sigma representing the Gaussian damping rate, and B\langle B\rangle indicating the mean field identified by the measurement. Values derived from data taken in the normal or Meissner state, obtained from individual or constrained (i.e., global) fits, are differentiated by the symbols and lines described in the plot’s legend. All model parameters vary smoothly while the implantation energy E<17 keVE<$17\text{\,}\mathrm{keV}$, above which both the ϕi\phi_{i}s and A0,iA_{0,i}s diverge, the latter adopting non-physical values. While this divergence has little effect on σ\sigma, it results in an abrupt drop in B\langle B\rangle; however, this discontinuity vanishes (along with the inflated A0,iA_{0,i}s) when the ϕi\phi_{i}s are treated as shared parameters in global fit. Note that imposing this constraint has no detrimental effect on the overall fit quality, as evidenced by the proximity of the goodness-of-fit metric [0.5log()/NDF-0.5\log(\mathcal{L})/\mathrm{NDF}] to 1.
Refer to caption
Refer to caption
Figure 2: Meissner screening profiles in the \chNb SRF cavity cutout (340-10) that underwent mild baking at 120 °C120\text{\,}\mathrm{\SIUnitSymbolCelsius} [4] (measured at two different applied fields BappliedB_{\mathrm{applied}}), re-analyzed using the approach described in Ref. 14. Here, the mean magnetic field B\langle B\rangle, normalized by the “effective” applied field B~0=Bapplied/(1N~)\tilde{B}_{0}=B_{\mathrm{applied}}/(1-\tilde{N}) to account for the geometric enhancement of BappliedB_{\mathrm{applied}} by a non-zero demagnetizing factor N~\tilde{N} in the Meissner state (see e.g., [19, 14]), is plotted against the μ+\mu^{+} implantation energy EE, with the corresponding mean implantation depth z\langle z\rangle included for convenience. The filled circles (\bullet) and open squares (\square) denote measurements in the Meissner and normal states, respectively. The solid and dashed lines denote results from a (global) fit to each dataset, accounting for the depth-dependence above and below \chNb’s superconducting transition temperature Tc9.25 KT_{c}\approx$9.25\text{\,}\mathrm{K}$ (as described elsewhere [14]). The main fit parameters are listed in the plot insets, including the magnetic penetration depth λ\lambda and the thickness of a non-superconducting “dead layer” dd at the sample surface. Note that the different N~\tilde{N}s obtained for the two applied fields likely reflect the μ+\mu^{+} beamspot sampling different lateral regions of the sample. Most importantly, neither result shows any “strong” change to the screening profile around z60 nm\langle z\rangle\approx$60\text{\,}\mathrm{nm}$, with both profiles being well-described by the London model [8].

Lastly, we note that our re-analysis also finds an unusually large non-superconducting “dead layer” dd at the surface of the 340-10 cutout. This is easily identified by B\langle B\rangle’s asymptotic approach to the “effective” applied field B~0=Bapplied/(1N~)\tilde{B}_{0}=B_{\mathrm{applied}}/(1-\tilde{N}) with decreasing implantation energy EE (i.e., z\langle z\rangle). We find that d35 nmd\approx$35\text{\,}\mathrm{nm}$ (see Figure˜2), which is significantly larger than the 20 nm\sim 20\text{\,}\mathrm{nm} implied in the Letter [1], as well as those given in other reports [14, 12]. While dd is a sample-dependent (rather than an intrinsic material-dependent) property, this value is exceptionally large and is unlikely a result of surface roughness alone (see e.g., [20, 21]). An intriguing alterative (in line with the ideas presented by Romanenko et al. [1]) is that there may be a near-surface region where the magnetic penetration depth λ\lambda is spatially inhomogeneous. This idea has been considered theoretically on general grounds [22] and more recently in the context of SRF cavities [23, 24]. The impact of such an effect, however, is likely subtle and beyond the resolution of the current measurements.

In summary, we re-analyzed the LE-μ\muSR data originally reported in the Letter by Romanenko et al. [1], revealing the absence of any “strong” changes to the Meissner screening profile of \chNb upon mild baking [4], with the field screening well-described by an exponential London model [8]. Interestingly, the re-analysis also uncovered an unusually large “dead layer”, which may suggest the presence of spatial inhomogeneities in the screening properties close to the surface (e.g., from a depth-dependent penetration depth) [22, 23, 24]. The data suggests that their effect on B(z)B(z) is likely subtle, necessitating high-resolution measurements probing the near-surface region (z40 nmz\lesssim$40\text{\,}\mathrm{nm}$) to be conclusive. We hope that this Comment will stimulate further investigation into the matter.

Acknowledgements.
We thank E. R. Lechner for useful discussions. This work was supported by an NSERC Award to T. Junginger.

Author Declarations

Conflict of Interest

The authors have no conflicts to disclose.

Author Contributions

Ryan M. L. McFadden: Conceptualization (equal); Formal Analysis (lead); Software (lead); Writing - Original Draft Preparation (lead); Writing - Review & Editing (equal). Md Asaduzzaman: Formal Analysis (supporting); Software (supporting); Writing - Review & Editing (supporting). Tobias Junginger: Conceptualization (equal); Funding Acquisition (lead); Writing - Review & Editing (equal).

Data Availability

Raw data from LE-μ\muSR experiments of Romanenko et al. [1] were generated at the Swiss Muon Source Sμ\muS, Paul Scherrer Institute, Villigen, Switzerland. Individual data files are available for download from: http://musruser.psi.ch/. Derived data supporting the findings of this Comment are available from the corresponding authors upon reasonable request.

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