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Ferrimagnetic resonance field sensors for particle accelerators
Anthony Beaumont1, Marco Buzio1, Giovanni Boero2
1CERN European Organization for Nuclear Research, CH-1211 Geneva 23, Switzerland.
The Review of Scientific Instruments
|July 1, 2019
Summary
Two new ferrimagnetic resonance (FMR) sensors precisely measure dynamic magnetic fields. These sensors provide reliable triggers for real-time magnetic field measurement systems used in particle accelerators.
Area of Science:
- Physics
- Electrical Engineering
- Materials Science
Background:
- Accurate measurement of dynamic magnetic fields is crucial for particle accelerators.
- Existing methods may lack the precision or real-time capabilities required for transient fields.
- Ferrimagnetic resonance (FMR) offers a potential pathway for high-precision magnetic field sensing.
Purpose of the Study:
- To develop and characterize two novel FMR sensors for absolute dynamic magnetic field measurements.
- To enable precise and reproducible triggering for time-transient magnetic fields.
- To integrate these sensors into real-time magnetic field measurement systems (B-trains).
Main Methods:
- Design and fabrication of two FMR sensors utilizing different printed circuit board (PCB) resonator structures.
- Testing and performance evaluation of the sensors at 36 mT and 100 mT magnetic field strengths.
- Analysis of sensor response for precise triggering of dynamic magnetic field events.
Main Results:
- Successful demonstration of two FMR sensors capable of absolute dynamic magnetic field measurements.
- Sensors provide precise and reproducible triggering at specific magnetic field values (36 and 100 mT).
- The developed sensors are suitable for integration into real-time magnetic field measurement systems.
Conclusions:
- The novel FMR sensors offer a reliable solution for precise dynamic magnetic field measurement.
- These sensors can enhance the performance and safety of large-scale scientific installations like synchrotrons.
- The PCB-based resonator designs present a practical approach for advanced magnetic field sensing applications.
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