Imaging the magnetic field distribution of a micro-wire with the nitrogen-vacancycolor center ensemble in diamond
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2020-12-03 |
| Journal | Applied Optics |
| Authors | Tianyu Wang, Zhonghao Li, Rui Zhao, Qi Guo, Xin Li |
| Institutions | North University of China |
| Citations | 6 |
Abstract
Section titled āAbstractāImaging the high-precision magnetic distribution generated by the surface current of chips and chip-like structures is an important way to measure thermal parameters of core components. Based on a high-concentration nitrogen-vacancy color center ensemble in diamond, the imaging magnetic field distribution is performed in a wide-field microscope. The magnetic vector detection and reduction model is verified first with continuous wave optical detection of magnetic resonance technology. By systematically measuring the distribution of the electromagnetic field generated on the surface of the micro-wire under different microwave power and different laser power conditions, the imaging quality of the wide-field imaging system can be optimized by adjusting the experimental parameters. Then, the electromagnetic field distribution imaging on the wire surface under different current intensities is obtained. In this way, accurate measurement and characterization of the magnetic distribution on the surface of the micro-wire is realized. Finally, at the field of view in the range of <mml:math xmlns:mml=āhttp://www.w3.org/1998/Math/MathMLā display=āinlineā> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mn>480</mml:mn> </mml:mrow> <mml:mspace width=āthickmathspaceā/> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mtext>Āµ</mml:mtext> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mi mathvariant=ānormalā>m</mml:mi> </mml:mrow> </mml:mrow> <mml:mo>Ć</mml:mo> <mml:mn>270</mml:mn> <mml:mspace width=āthickmathspaceā/> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mtext>Āµ</mml:mtext> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mi mathvariant=ānormalā>m</mml:mi> </mml:mrow> </mml:mrow> </mml:math> , the magnetic intensity is an accurate characterization in 0.5-10 Gs, and the magnetic detection sensitivity can be increased from 100 to <mml:math xmlns:mml=āhttp://www.w3.org/1998/Math/MathMLā display=āinlineā> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mn>20</mml:mn> </mml:mrow> <mml:mspace width=āthickmathspaceā/> <mml:mtext>Āµ</mml:mtext> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:msup> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mi mathvariant=ānormalā>T</mml:mi> </mml:mrow> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mo>/</mml:mo> </mml:mrow> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mi mathvariant=ānormalā>H</mml:mi> <mml:mi mathvariant=ānormalā>z</mml:mi> </mml:mrow> </mml:mrow> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mn>1</mml:mn> <mml:mrow class=āMJX-TeXAtom-ORDā> <mml:mo>/</mml:mo> </mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> . The results show the accurate magnetic distribution imaging for chips and chip-like structures, which provide a new method for chip function detection and fault diagnosis based on precision quantum measurement technology.