Optimization-based ambient field compensation applied to fast-field cycling nuclear magnetic resonance experiments

Lucas Blattner Martinho (1) , Olivier Chadebec (1) , Olivier Pinaud (1) , Laure-Line Rouve (1) , Jean-Louis Coulomb (1) , Antoine Viana (2) , Pascal Henry Fries (3) , Gianni Ferrante (4)

1 G2ELab - Laboratoire de Génie Electrique de Grenoble
2 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
3 INAC - Institut Nanosciences et Cryogénie
4 Stelar

Fast-field cycling (FFC) nuclear magnetic resonance applications require compensation of the ambient magnetic field. This compensation may be stated in terms of a multi-objective optimization problem involving the spherical harmonics decomposition of the field generated by a set of compensation coils. In this article, this optimization-based approach is detailed and applied to the particular case of a FFC relaxometer.

Domaines: Energie électrique

Lucas Blattner Martinho, Olivier Chadebec, Olivier Pinaud, Laure-Line Rouve, Jean-Louis Coulomb, et al.. Optimization-based ambient field compensation applied to fast-field cycling nuclear magnetic resonance experiments. NUMELEC 2017 - 9ème Conférence Européenne sur les Méthodes Numériques en Electromagnétisme, European Physical Society, Nov 2017, Paris, France. ⟨hal-01643879⟩