JYFL-ACCLAB-NSG001 Lung counting
Greenlees, Paul; Rahkila, Panu; Jutila, Henri. (2024). JYFL-ACCLAB-NSG001 Lung counting. V. 13.9.2023. University of Jyväskylä. https://doi.org/10.23729/605138df-3bf9-4e5b-8671-5015de5d8ee8.
JYU authors:
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All authors: Greenlees, Paul; Rahkila, Panu; Jutila, Henri
Contact information: jyfl-acclab-data@jyu.fi
Funders: Helsinki Institute of Physics
Right-holders:
Availability and identifiers
Availability: Direct download (Embargo date: 01/08/2024)
Publication year: 2024
DOI identifier in original repository: https://doi.org/10.23729/605138df-3bf9-4e5b-8671-5015de5d8ee8
Description of the dataset
Description: Study to reduce the Minimum Detectable Activity (MDA) of inhaled Am-241 activity deposited in the lungs of an anthropomorphic phantom with a highly-segmented HPGe detector (Eurisys 36 Segment Euroball Canister) coupled with active (BGO) and passive (lead) shielding.
Language: English
Free keywords: lung counting; highly segmented HPGe detector; anthropomorphic phantom; MDA
Keywords (YSO): nuclear physics; gamma radiation; spectroscopy
Fields of science: 114 Physical sciences
Follow-up groups: Accelerator Laboratory (Department of Physics PHYS, JYFL) JYFL-ACCLAB; Accelerator and Subatomic Physics (University of Jyväskylä JYU)
Do you deal with data concerning special categories of personal data in your research?: No