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arXiv 2602.13060cond-mat.supr-conphysics.ins-detquant-ph
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通过扫描量子磁力计定量成像阿布里科索夫涡流

Quantitative imaging of Abrikosov vortices by scanning quantum magnetometry

attocube systems GmbH(attocube系统有限公司);QZabre AG(QZabre股份公司)

Clemens Schäfermeier, Ankit Sharma, Christopher Kelvin von Grundherr, Dieter Andres, Andrea Morales, Jan Rhensius, Gabriel Puebla-Hellmann, Mirko Bacani

AI总结:

本研究利用低温扫描氮空位磁力计对高温超导体中的阿布里科索夫涡流进行定量成像,实现了纳米级空间分辨率和高磁分辨率。

摘要:

理解II型超导体中的涡流物质对于控制超导材料和器件中的损耗和磁通钉扎至关重要。在这里,我们利用低温扫描氮空位磁力计(NVM)在受控磁场冷却条件下,对铜基超导体BSCCO-2212和YBCO中的阿布里科索夫涡流进行成像。通过在闭式循环低温恒温器中使用连续波光学检测磁共振(cw-ODMR)进行测量,获得具有纳米级空间分辨率的定量磁场图。在71 K的BSCCO-2212中,我们解析出一个有序的三角涡流晶格,其对称性和间距通过二维傅里叶分析得到确认,并与磁通量子化一致。在3 K下成像的YBCO薄膜显示出更无序的涡流排列,反映了更强的钉扎,同时保持测量的涡流密度与施加的磁场之间的定量一致。这些结果表明,我们的低温扫描NVM是一种可靠的定量工具,用于研究高温超导体中的涡流实空间特性,特别是由于在相对较短的2至4小时的采集时间内实现了如此显著的磁分辨率。

英文摘要:

Understanding vortex matter in type-II superconductors is central to controlling dissipation and flux pinning in superconducting materials and devices. Here, we use cryogenic scanning nitrogen vacancy magnetometry (NVM) to image Abrikosov vortices in the cuprate superconductors BSCCO-2212 and YBCO under controlled field-cooled conditions. Measurements, which are performed using continuous-wave optically detected magnetic resonance (cw-ODMR) in a closed-cycle cryostat, yield quantitative magnetic-field maps with nanoscale spatial resolution. In BSCCO-2212 at 71 K, we resolve a well-ordered triangular vortex lattice, whose symmetry and spacing are confirmed through 2D Fourier analysis and are consistent with flux quantization. YBCO thin films imaged at 3 K exhibit a more disordered vortex arrangement reflecting stronger pinning, while maintaining quantitative agreement between measured vortex density and the applied magnetic field. These results render our cryogenic scanning NVM a reliable quantitative tool for real-space studies of vortices in high-$T_c$ superconductors, in particular since such a remarkable magnetic resolution has been achieved within relatively short acquisition times of 2 to 4 h.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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