Optimum filter-based discrimination of neutrons and gamma rays

D 2016

Optimum filter-based discrimination of neutrons and gamma rays

AMIRI, Moslem; Václav PŘENOSIL a František CVACHOVEC

Základní údaje

Originální název

Optimum filter-based discrimination of neutrons and gamma rays

Autoři

AMIRI, Moslem; Václav PŘENOSIL a František CVACHOVEC

Vydání

Lisbon, 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), od s. 1-7, 7 s. 2016

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20206 Computer hardware and architecture

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/16:00087672

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4799-9918-7

Klíčová slova anglicky

Counter/discriminator; optimum filter; neutron spectroscopy; organic scintillator

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 5. 2020 20:54, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

An optimum filter-based method for discrimination of neutrons and gamma-rays in a mixed radiation field is presented. The existing filter-based implementations of discriminators require sample pulse responses in advance of the experiment run to build the filter coefficients, which makes them less practical. Our novel technique creates the coefficients during the experiment and improves their quality gradually. Applied to several sets of mixed neutron and photon signals obtained through different digitizers using stilbene scintillator, this approach is analyzed and its discrimination quality is measured

Návaznosti

TA01011383, projekt VaV

Název: Digitální spektrometrický systém jaderného záření

Citovat

AMIRI, Moslem; Václav PŘENOSIL a František CVACHOVEC. Optimum filter-based discrimination of neutrons and gamma rays. Online. In 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA). Lisbon: IEEE, 2016, s. 1-7. ISBN 978-1-4799-9918-7. Dostupné z: https://doi.org/10.1109/ANIMMA.2015.7465552.

@inproceedings{1378126,
   author = {Amiri, Moslem and Přenosil, Václav and Cvachovec, František},
   address = {Lisbon},
   booktitle = {2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA)},
   doi = {https://doi.org/10.1109/ANIMMA.2015.7465552},
   keywords = {Counter/discriminator; optimum filter; neutron spectroscopy; organic scintillator},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Lisbon},
   isbn = {978-1-4799-9918-7},
   pages = {1-7},
   publisher = {IEEE},
   title = {Optimum filter-based discrimination of neutrons and gamma rays},
   year = {2016}
}

TY  - CONF
ID  - 1378126
AU  - Amiri, Moslem - Přenosil, Václav - Cvachovec, František
PY  - 2016
TI  - Optimum filter-based discrimination of neutrons and gamma rays
PB  - IEEE
CY  - Lisbon
SN  - 9781479999187
KW  - Counter/discriminator
KW  - optimum filter
KW  - neutron spectroscopy
KW  - organic scintillator
N2  - An optimum filter-based method for discrimination of neutrons and gamma-rays in a mixed radiation field is presented. The existing filter-based implementations of discriminators require sample pulse responses in advance of the experiment run to build the filter coefficients, which makes them less practical. Our novel technique creates the coefficients during the experiment and improves their quality gradually. Applied to several sets of mixed neutron and photon signals obtained through different digitizers using stilbene scintillator, this approach is analyzed and its discrimination quality is measured
ER  -

AMIRI, Moslem; Václav PŘENOSIL a František CVACHOVEC. Optimum filter-based discrimination of neutrons and gamma rays. Online. In \textit{2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA)}. Lisbon: IEEE, 2016, s.~1-7. ISBN~978-1-4799-9918-7. Dostupné z: https://doi.org/10.1109/ANIMMA.2015.7465552.

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