FPGA based particle identification in high energy physics experiments

Name: FPGA based particle identification in high energy physics experiments
Author: Uğurdağ, Hasan Fatih, Başaran, A., Akdogan, T., Güney, V. U., Gören, S.

İsim	FPGA based particle identification in high energy physics experiments
Yazar	Uğurdağ, Hasan Fatih, Başaran, A., Akdogan, T., Güney, V. U., Gören, S.
Basım Tarihi:	2012
Basım Yeri	- IEEE
Konu	Curve fitting, Field programmable gate arrays, Parallel processing, Particle detectors, Signal processing
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-2243-0
Kayıt Numarası	29289038-de88-4cd4-98c4-f908ee4014a0
Lokasyon	Electrical & Electronics Engineering
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	High energy physics experiments require on-the-fly processing of signals from many particle detectors. Such signals contain a high and fluctuating rate of pulses. Pulse shape hints particle type, and the amplitude relates to energy of the particle, while pulse occurrence times are needed for event reconstruction. Traditionally, these parameters have been extracted with the help of complete racks of dedicated electronics. Our FPGA design on a general-purpose DAQ card does real-time pulse detection and high-precision curve fitting. It greatly shrinks required equipment in terms of form factor, cost, power usage, and setup time. Unlike traditional systems, we can handle bursts of back-to-back pulses, pulses as narrow as 6 ns and at rates over 1M pulses per second. We have a novel scalable architecture that combines pipelining and parallelism. Moreover, the parallel part of the architecture uses loop pipelining in each of its interleaved identical parallel processors (IIPPs). An IIPP is a specialized CPU, which executes nested loops, with number of iterations that varies from pulse to pulse. IIPPs are fed data from a FIFO by a priority encoder based dispatcher. Number of IIPPs can be calculated to meet any pulse rate and average pulse width. The architecture is flexible enough to work with a variety of curve fitting algorithms.
DOI	10.1109/ASAP.2012.22

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

FPGA based particle identification in high energy physics experiments

Yazar Uğurdağ, Hasan Fatih, Başaran, A., Akdogan, T., Güney, V. U., Gören, S.

Basım Tarihi 2012

Basım Yeri - IEEE

Konu Curve fitting, Field programmable gate arrays, Parallel processing, Particle detectors, Signal processing

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-2243-0

Kayıt Numarası 29289038-de88-4cd4-98c4-f908ee4014a0

Lokasyon Electrical & Electronics Engineering

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin High energy physics experiments require on-the-fly processing of signals from many particle detectors. Such signals contain a high and fluctuating rate of pulses. Pulse shape hints particle type, and the amplitude relates to energy of the particle, while pulse occurrence times are needed for event reconstruction. Traditionally, these parameters have been extracted with the help of complete racks of dedicated electronics. Our FPGA design on a general-purpose DAQ card does real-time pulse detection and high-precision curve fitting. It greatly shrinks required equipment in terms of form factor, cost, power usage, and setup time. Unlike traditional systems, we can handle bursts of back-to-back pulses, pulses as narrow as 6 ns and at rates over 1M pulses per second. We have a novel scalable architecture that combines pipelining and parallelism. Moreover, the parallel part of the architecture uses loop pipelining in each of its interleaved identical parallel processors (IIPPs). An IIPP is a specialized CPU, which executes nested loops, with number of iterations that varies from pulse to pulse. IIPPs are fed data from a FIFO by a priority encoder based dispatcher. Number of IIPPs can be calculated to meet any pulse rate and average pulse width. The architecture is flexible enough to work with a variety of curve fitting algorithms.

DOI 10.1109/ASAP.2012.22