Decision trees for optimizing the minimum detectable concentration of radioxenon detectors.

Hagen, A; Loer, B; Orrell, J L; Saldanha, R

Hagen, A; Loer, B; Orrell, J L; Saldanha, R.

Affiliation

Hagen A; Pacific Northwest National Laboratory, Richland, WA, 99352, USA. Electronic address: alexander.hagen@pnnl.gov.
Loer B; Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Orrell JL; Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Saldanha R; Pacific Northwest National Laboratory, Richland, WA, 99352, USA.

J Environ Radioact ; 229-230: 106542, 2021 Apr.

Article in En | MEDLINE | ID: mdl-33581483

Subject(s)

Air Pollutants, Radioactive; Radiation Monitoring; Radon; Air Pollutants, Radioactive/analysis; Decision Trees; Radon/analysis; Xenon Radioisotopes/analysis

Key words

Decision tree; MDC; Machine learning; Radioxenon; Xenon

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiation Monitoring / Radon / Air Pollutants, Radioactive Type of study: Health_economic_evaluation Language: En Journal: J Environ Radioact Journal subject: SAUDE AMBIENTAL Year: 2021 Document type: Article Country of publication: United kingdom

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