• DocumentCode
    1791021
  • Title

    Real time pulse processors for physics experiments-simulation and implementation

  • Author

    Dey, Maitry ; Biswas, Mukul ; Ghosh, Sudip ; Chakaraborty, Sarbani

  • Author_Institution
    Variable Energy Cyclotron Centre, Kolkata, India
  • fYear
    2014
  • fDate
    12-13 July 2014
  • Firstpage
    726
  • Lastpage
    731
  • Abstract
    To have a better energy resolution in a gamma ray spectroscopy, an appropriate shaping of the nuclear pulses is necessary. The shaping improves two parameters namely the counting rate and signal to noise ratio (SNR). Trapezoidal, Gaussian and Cusp - these three shaping algorithms have been simulated to assess the suitability in terms of these two parameters. The energy resolution in the spectrum depends on these parameters. The shaping algorithms are implemented using field programmable gate array (FPGA) at 100MHz clock with 100MSPS ADC. In multi channel analyzer (MCA) DAQ setup, FPGA based shaper hardware is used to study the shaping algorithm with the help of the spectrum of 60Co and 137Cs as radiation sources. This paper has reported the results of the real time implementations of this work.
  • Keywords
    analogue-digital conversion; caesium; cobalt; field programmable gate arrays; physics computing; 137Cs; 60Co; ADC; Cusp shaping algorithm; FPGA; Gaussian shaping algorithm; SNR parameter; analogue-to-digital converter; counting rate parameter; energy resolution; field programmable gate array; gamma ray spectroscopy; nuclear pulse shaping; physics experiments; radiation sources; realtime pulse processors; signal-to-noise ratio; trapezoidal shaping algorithm; Field programmable gate arrays; Isotopes; Nickel; Physics; Shape; Signal to noise ratio; Spectroscopy; ADC; Cusp; DAQ; FPGA; Gaussian; MCA; MSPS; SNR; Spectroscopy; Trapezoidal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Propagation and Computer Technology (ICSPCT), 2014 International Conference on
  • Conference_Location
    Ajmer
  • Print_ISBN
    978-1-4799-3139-2
  • Type

    conf

  • DOI
    10.1109/ICSPCT.2014.6884941
  • Filename
    6884941