Name
Abstract | ||
|---|---|---|
In the framework of magnetic measurements in particle accelerators, the problem of the drift due to integration of a voltage offset causes a lack of stability, which is inadequate for long-term measurements. In this paper, a new approach for the modelling and correction of long-term drift in integrators is discussed. In particular, a feed-forward drift correction method has been developed analytically and tested using experimental data taken from an existing real-time magnetic measurement system. Among all the sensors, NMR was chosen for the integration constant due to its accuracy (10
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-6</sup>
) and the Metrolab PT2026 NMR teslameter has been tested successfully as a novel kind of quasi-DC field marker. The combination of feed-forward correction and PT2026 as a marker will allow the future real-time magnetic measurement systems to meet the very strict specification of 1 μT field stability over durations of the order of minutes. In certain cases, such as in ELENA, this method offers a way to reduce by three orders of magnitude the drift-induced field error with respect to the existing system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/METROI4.2019.8792916 | 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT) |
Keywords | DocType | ISBN |
Integrator drift correction,Nuclear Magnetic Resonance (NMR) teslameter,particle accelerator magnets | Conference | 978-1-7281-0430-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Amodeo | 1 | 0 | 0.34 |
| Pasquale Arpaia | 2 | 95 | 29.77 |
| Marco Buzio | 3 | 0 | 1.69 |