With the increasing availability of single-board computers equipped with fast analog-to-digital converters based on field-programmable gate arrays (FPGA), researchers and educators gain access to relatively inexpensive hardware that can be programmed for advanced coincidence counting. We demonstrate this capability by developing software for a dual-channel open-source data acquisition platform, enabling it to perform energy- and time-resolved coincidence counting and testing our system using an 241Am source. Measuring the coincidence between alpha and gamma radiation allowed us to determine the half-life of the 237Np excited state. The obtained value of 67.7 ± 0.1 ns is compatible with the value cited in the literature. Furthermore, the use of digital signal processing enabled us to sort time-resolved counts by alpha and gamma energy, which resulted in additional information on the decay scheme. Correlation heatmaps between the two spectra were plotted and used to verify the decay scheme. The half-lives of the other features visible in the gamma spectrum were determined as well.
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December 2019
APPARATUS AND DEMONSTRATION NOTES|
December 01 2019
Energy-resolved coincidence counting using an FPGA for nuclear lifetime experiments
Mario Vretenar;
Mario Vretenar
Department of Physics, University of Rijeka
, Rijeka 51000, Croatia
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Nataša Erceg;
Nataša Erceg
Department of Physics, University of Rijeka
, Rijeka 51000, Croatia
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Marin Karuza
Marin Karuza
a)
Department of Physics, University of Rijeka
, Rijeka 51000, Croatia
; CMNST and Center of Excellence for Advanced Materials and Sensing Devices, Photonics and Quantum Optics group, University of Rijeka
, Rijeka 51000, Croatia
; and INFN Sezione di Trieste
, Trieste 34127, Italy
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Mario Vretenar
Nataša Erceg
Marin Karuza
a)
Department of Physics, University of Rijeka
, Rijeka 51000, Croatia
a)
Author to whom correspondence should be addressed. Electronic mail: [email protected]
Am. J. Phys. 87, 997–1003 (2019)
Article history
Received:
January 03 2018
Accepted:
July 29 2019
Citation
Mario Vretenar, Nataša Erceg, Marin Karuza; Energy-resolved coincidence counting using an FPGA for nuclear lifetime experiments. Am. J. Phys. 1 December 2019; 87 (12): 997–1003. https://doi.org/10.1119/1.5122744
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