The Muon g-2 experiment, E989, is currently taking data at Fermilab with the aim of reducing the experimental error on the muon anomaly by a factor of four and possibly clarifying the current discrepancy with the theoretical prediction. A central component of this four-fold improvement in precision is the laser calibration system of the calorimeters, which has to monitor the gain variations of the photo-sensors with a 0.04% precision on the short-term (∼ 1 ms). This is about one order of magnitude better than what has ever been achieved for the calibration of a particle physics calorimeter. The system is designed to monitor also long-term gain variations, mostly due to temperature effects, with a precision below the per mille level. This article reviews the design, the implementation and the performance of the Muon g-2 laser calibration system, showing how the experimental requirements have been met.

The laser-based gain monitoring system of the calorimeters in the Muon g-2 experiment at Fermilab

Anastasi A.;Basti A.;Bedeschi F.;Bottalico E.;Donati S.;Driutti A.;Gioiosa A.;Girotti P.;Incagli M.;Pauletta G.;Smith M.;Venanzoni G.
2019-01-01

Abstract

The Muon g-2 experiment, E989, is currently taking data at Fermilab with the aim of reducing the experimental error on the muon anomaly by a factor of four and possibly clarifying the current discrepancy with the theoretical prediction. A central component of this four-fold improvement in precision is the laser calibration system of the calorimeters, which has to monitor the gain variations of the photo-sensors with a 0.04% precision on the short-term (∼ 1 ms). This is about one order of magnitude better than what has ever been achieved for the calibration of a particle physics calorimeter. The system is designed to monitor also long-term gain variations, mostly due to temperature effects, with a precision below the per mille level. This article reviews the design, the implementation and the performance of the Muon g-2 laser calibration system, showing how the experimental requirements have been met.
2019
Anastasi, A.; Basti, A.; Bedeschi, F.; Boiano, A.; Bottalico, E.; Cantatore, G.; Cauz, D.; Chapelain, A. T.; Corradi, G.; Dabagov, S.; Falco, S. D.; Meo, P. D.; Sciascio, G. D.; Stefano, R. D.; Donati, S.; Driutti, A.; Ferrari, C.; Fienberg, A. T.; Fioretti, A.; Gabbanini, C.; Gibbons, L. K.; Gioiosa, A.; Girotti, P.; Hampai, D.; Hempstead, J. B.; Hertzog, D. W.; Iacovacci, M.; Incagli, M.; Karuza, M.; Kaspar, J.; Khaw, K. S.; Lusiani, A.; Marignetti, F.; Mastroianni, S.; Miozzi, S.; Nath, A.; Pauletta, G.; Piacentino, G. M.; Raha, N.; Santi, L.; Smith, M.; Sorbara, M.; Sweigart, D. A.; Venanzoni, G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1127818
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