Pregled bibliografske jedinice broj: 1041282
Energy-resolved coincidence counting using an FPGA for nuclear lifetime experiments
Energy-resolved coincidence counting using an FPGA for nuclear lifetime experiments // American Journal of Physics, 87 (2019), 12; 997-1003 doi:10.1119/1.5122744 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1041282 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Energy-resolved coincidence counting using an FPGA
for nuclear lifetime experiments
Autori
Vretenar, Mario ; Erceg, Nataša ; Karuza, Marin
Izvornik
American Journal of Physics (0002-9505) 87
(2019), 12;
997-1003
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
energy-resolved coincidence counting ; FPGA ; nuclear lifetime experiment
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Ustanove:
Sveučilište u Rijeci - Odjel za fiziku
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus