Maximum Likelihood Estimation and Non-Linear Least Squares Fitting Implementation in FPGA Devices for High Resolution Hodoscopy

This work compares two possible solutions to achieve a high resolution in a hodoscope based on Plastic Scintillating Fibers (PSF) by obtaining the point of maximum interaction of the radioactive beam with the detector. The two fitting algorithms are the Maximum Likelihood Estimation and a non-linear...

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Bibliographic Details
Published in:IEEE transactions on nuclear science Vol. 60; no. 5; pp. 3578 - 3584
Main Authors: Blasco, Jose M., Sanchis, Enrique, Gonzalez, Vicente, Martin, Jose D., Egea, Francisco J., Barrientos, Diego, Granero, Domingo, Sanchis-Sanchez, Enrique
Format: Journal Article
Language:English
Published: IEEE 01.10.2013
Subjects:
Algorithm implementation
beam calibration
Detectors
Field programmable gate arrays
FPGA
high-resolution
hodoscopy
maximum interaction
Maximum likelihood estimation
Optimization
Program processors
Signal processing algorithms
Vectors
ISSN:0018-9499, 1558-1578
Online Access:Get full text
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Summary:This work compares two possible solutions to achieve a high resolution in a hodoscope based on Plastic Scintillating Fibers (PSF) by obtaining the point of maximum interaction of the radioactive beam with the detector. The two fitting algorithms are the Maximum Likelihood Estimation and a non-linear least-squares fitting with the Levenberg-Marquardt Algorithm. Both approaches have been tested, compared and implemented in Field Programmable Gate Array (FPGA) devices.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2013.2265174