6533b870fe1ef96bd12d0390

RESEARCH PRODUCT

Maximum Likelihood Estimation and non-linear least squares fitting with Levenberg-Marquardt Algorithm implementation in FPGA devices for high resolution hodoscopy

José BlascoVicente GonzálezEnrique SanchisDiego BarrientosJosé D. MartínDomingo GraneroF.j. Egea

subject

Levenberg–Marquardt algorithmHodoscopeComputer scienceNon-linear least squaresResolution (electron density)Curve fittingElectronic engineeringStatistical modelPoint (geometry)Field-programmable gate arrayAlgorithm

description

This work compares two possible solutions to achieve a higher resolution in a hodoscope based on Plastic Scintillating Fibers (PSF) by obtaining the point of maximum incidence of the radioactive beam. The two fitting algorithms proposed have been tested and implemented in Field Programmable Gate Array (FPGA) devices. On one hand, a probabilistic model based on the Maximum Likelihood Estimation (MLE) and on the other hand, non-linear least-squares fit with the Levenberg-Marquardt Algorithm (LMA).

yearjournalcountryeditionlanguage
2012-06-012012 18th IEEE-NPSS Real Time Conference
https://doi.org/10.1109/rtc.2012.6418113