EPJ Web Conf.
Volume 225, 2020ANIMMA 2019 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|Number of page(s)||4|
|Published online||20 January 2020|
System noise of a digital pulse processing module for nuclear instrumentation
Y. Ma is with the MST (Institute of Semiconductor and Microsystems Technology), Technische Universität Dresden, Dresden 01069, Germany (e-mail: Yuzhen.Ma@tu-dresden.de)
W. Fischer is with the MST (Institute of Semiconductor and Microsystems Technology), Technische Universität Dresden, Dresden 01069, Germany (e-mail: Wolf-Joachim.Fischer@tudresden.de)
J. Henniger is with the IKTP (Institute of Nuclear and Particle Physics), Technische Universität Dresden, Dresden 01069, Germany (e-mail: email@example.com)
D. Weinberger is with the HZDR (Helmholtz-Zentrum Dresden- Rossendorf), Dresden 01328, Germany and Serious Dynamics GbR, Dresden 01139, Germany (e-mail: firstname.lastname@example.org)
T. Kormoll is wih the IKTP (Institute of Nuclear and Particle Physics), Technische Universität Dresden, Dresden 01069, Germany and Serious Dynamics GbR, Dresden 01139, Germany (e-mail: Thomas.Kormoll@tu-dresden.de)
Published online: 20 January 2020
Digital pulse processing finds a widespeed use in nuclear instrumentation. This work presents a digital pulse processing (DPP) module based on an FPGA and a 16-bit 125 MHz ADC and analyses the system noise distribution by acquired digital data using this system. A moving average filter is utilized to suppress the system noise of the DPP module. Furthermore, digital trapezoidal filter is applied for the use with a charge sensitive preamplifier with High Purity Germanium (HPGe) detector. The energy spectrum and corresponding resolution are demonstrated with a scintillation and semiconductor detector.
Key words: digital signal processing / FPGA / noise / Gaus-sian / nuclear
© The Authors, published by EDP Sciences, 2020
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