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Open AccessArticle

Optimizing Momentum Resolution with a New Fitting Method for Silicon-Strip Detectors

1
Department of Physics and Astronomy, University of Firenze, and INFN, Largo E. Fermi 2 (Arcetri), 50125 Firenze, Italy
2
ArchonVR S.a.g.l., Via Cisieri 3, 6900 Lugano, Switzerland
*
Author to whom correspondence should be addressed.
Instruments 2018, 2(4), 22; https://doi.org/10.3390/instruments2040022
Received: 1 September 2018 / Revised: 20 October 2018 / Accepted: 30 October 2018 / Published: 31 October 2018
Two new fitting methods are explored for momentum reconstruction. They give a substantial increase of momentum resolution compared to standard fit. The key point is the use of a different (realistic) probability distribution for each hit (heteroscedasticity). In the first fitting method an effective variance is calculated for each hit, the second method uses the search of the maximum likelihood. The tracker model is similar to the PAMELA tracker with its two sided detectors. Here, each side is simulated as a momentum reconstruction device. One of the two is similar to silicon micro-strip detectors of large use in running experiments. The gain obtained in momentum resolution is measured as the virtual magnetic field and the virtual signal-to-noise ratio required by the standard fits to overlap with the best of the new methods. For the low noise side, the virtual magnetic field must be increased 1.5 times to reach the overlap and 1.8 for the other. For the high noise side, the increases must be 1.8 and 2.0. The signal-to-noise ratio has to be increased by 1.6 for the low noise side and 2.2 for the high noise side ( η -algorithms). Each one of our two methods shows a very rapid linear increase of the resolution with the number N of detector layers, the two standard fits have the usual slow growth less than N . View Full-Text
Keywords: momentum reconstruction; least squares method; maximum likelihood; center of gravity; position reconstruction; silicon micro-strip detectors momentum reconstruction; least squares method; maximum likelihood; center of gravity; position reconstruction; silicon micro-strip detectors
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MDPI and ACS Style

Landi, G.; Landi, G.E. Optimizing Momentum Resolution with a New Fitting Method for Silicon-Strip Detectors. Instruments 2018, 2, 22. https://doi.org/10.3390/instruments2040022

AMA Style

Landi G, Landi GE. Optimizing Momentum Resolution with a New Fitting Method for Silicon-Strip Detectors. Instruments. 2018; 2(4):22. https://doi.org/10.3390/instruments2040022

Chicago/Turabian Style

Landi, Gregorio; Landi, Giovanni E. 2018. "Optimizing Momentum Resolution with a New Fitting Method for Silicon-Strip Detectors" Instruments 2, no. 4: 22. https://doi.org/10.3390/instruments2040022

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