Mu2e Solenoid Field Mapping System Design

Fehér, S.; Delurgio, P.; Elementi, L.; Friedsam, H.; Grudziński, J.; Lamm, M.J.; Nogiec, Jerzy; Orozco, Charles; Pollack, B.; Schmitt, Michael Henry; Strauss, T.; Talaga, R. L.; Wagner, R. G.; White, J.; Zhao, Huyue

doi:10.1109/tasc.2017.2786720

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The components collaborate by exchanging data events, and their actions are orchestrated by a Python script [10]. Each command sent to a component is acknowledged by the Script component.…”

Section: B Component Collaborationmentioning

confidence: 99%

Software Architecture and Hardware Organization in Mu2e Solenoid Field Mapping System

Nogiec

Akella

Fehér

et al. 2022

IEEE Trans. Appl. Supercond.

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The Mu2e field mapping system is designed to produce high accuracy field maps of the detector solenoid used in the experiment. The data acquisition system is mobile and uses a selfpropelled mapper with rotating arms equipped with 3D Hall probes. The measurements require not only accurate magnetic field readouts, but also accurate locations of all Hall probes while measuring data. The latter is accomplished by using the laser tracker to measure positions of several retroreflectors on the field mapper during data acquisition. The measurement process requires scanning the whole space inside the large solenoid and takes many hours to complete, which necessitates its full automation. The automation software includes control of the mapper, readout of Hall and NMR probes and control of a laser tracker, including prediction of retroreflector positions and execution of quality control checks. The software architecture and data acquisition hardware of the field mapping system are described, with special attention given to control of the laser tracker and its integration with the rest of the system.

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“…The components collaborate by exchanging data events, and their actions are orchestrated by a Python script [10]. Each command sent to a component is acknowledged by the Script component.…”

Section: B Component Collaborationmentioning

confidence: 99%

Software Architecture and Hardware Organization in Mu2e Solenoid Field Mapping System

Nogiec

Akella

Fehér

et al. 2022

IEEE Trans. Appl. Supercond.

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“…The ever-increasing demand for higher resolution (e.g. medical imaging, charged particle reconstruction) requires increased accuracy and precision for the magnetic field [1]. The helical winding of a solenoid generates an axial asymmetry that may cause significant deviations of the magnetic field from that of an ideal solenoid, and it may be necessary to account for these deviations.…”

Section: Introductionmentioning

confidence: 99%

Modeling Magnetic Fields with Helical Solutions to Laplace's Equation

Pollack,

Pellico,

Kampa

et al. 2019

Preprint

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The series solution to Laplace's equation in a helical coordinate system is derived and refined using symmetry and chirality arguments. These functions and their more commonplace counterparts are used to model solenoidal magnetic fields via linear, multidimensional curve-fitting. A judicious choice of functional forms, a small number of free parameters and sparse input data can lead to highly accurate, fine-grained modeling of solenoidal magnetic fields, including helical features arising from the winding of the solenoid, with overall field accuracy at better than one part per million.

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