Sparse spectral unmixing for activity estimation in γ-RAY spectrometry applied to environmental measurements
This paper presents a sparse spectral unmixing algorithm for activity estimation of radionuclides in γ-ray spectrometry. The spectral unmixing method aims to decompose a measured spectrum into spectral signatures of radionuclides, which is sensitive to the choice of the spectral signatures. The spar...
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| Veröffentlicht in: | Applied radiation and isotopes 2020-02, Vol.156, p.108903-108903, Article 108903 |
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| container_title | Applied radiation and isotopes |
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| creator | Xu, J. Bobin, J. de Vismes Ott, A. Bobin, C. |
| description | This paper presents a sparse spectral unmixing algorithm for activity estimation of radionuclides in γ-ray spectrometry. The spectral unmixing method aims to decompose a measured spectrum into spectral signatures of radionuclides, which is sensitive to the choice of the spectral signatures. The sparsity of the solution is imposed to identify the active radionuclides. Experimental results on simulated and real spectra show that the proposed method yields significant improvement for estimating radioactivity at low statistics.
•New radioanuclides' activity estimation based on spectral unmixing.•Full spectrum and Poisson statistics of the detection process taken into account.•Reduction of the time to detect artificial radionuclides in aerosol filter samples.•Extended spectral unmixing to jointly identify the set of active radionuclides. |
| doi_str_mv | 10.1016/j.apradiso.2019.108903 |
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•New radioanuclides' activity estimation based on spectral unmixing.•Full spectrum and Poisson statistics of the detection process taken into account.•Reduction of the time to detect artificial radionuclides in aerosol filter samples.•Extended spectral unmixing to jointly identify the set of active radionuclides.</description><identifier>ISSN: 0969-8043</identifier><identifier>EISSN: 1872-9800</identifier><identifier>DOI: 10.1016/j.apradiso.2019.108903</identifier><identifier>PMID: 32056679</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Environmental radioactivity ; Full spectrum analysis ; Instrumentation and Detectors ; Inverse problem ; Nuclear Experiment ; Physics ; Sparse spectral unmixing ; γ-ray spectrometry</subject><ispartof>Applied radiation and isotopes, 2020-02, Vol.156, p.108903-108903, Article 108903</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><rights>Attribution - NonCommercial - NoDerivatives</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-290b1f8e008b9f1bf2e04697fa3089ab828ce34bca51786079c360f1795fbb743</citedby><cites>FETCH-LOGICAL-c450t-290b1f8e008b9f1bf2e04697fa3089ab828ce34bca51786079c360f1795fbb743</cites><orcidid>0000-0002-5652-0094</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apradiso.2019.108903$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32056679$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03177917$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, J.</creatorcontrib><creatorcontrib>Bobin, J.</creatorcontrib><creatorcontrib>de Vismes Ott, A.</creatorcontrib><creatorcontrib>Bobin, C.</creatorcontrib><title>Sparse spectral unmixing for activity estimation in γ-RAY spectrometry applied to environmental measurements</title><title>Applied radiation and isotopes</title><addtitle>Appl Radiat Isot</addtitle><description>This paper presents a sparse spectral unmixing algorithm for activity estimation of radionuclides in γ-ray spectrometry. The spectral unmixing method aims to decompose a measured spectrum into spectral signatures of radionuclides, which is sensitive to the choice of the spectral signatures. The sparsity of the solution is imposed to identify the active radionuclides. Experimental results on simulated and real spectra show that the proposed method yields significant improvement for estimating radioactivity at low statistics.
•New radioanuclides' activity estimation based on spectral unmixing.•Full spectrum and Poisson statistics of the detection process taken into account.•Reduction of the time to detect artificial radionuclides in aerosol filter samples.•Extended spectral unmixing to jointly identify the set of active radionuclides.</description><subject>Environmental radioactivity</subject><subject>Full spectrum analysis</subject><subject>Instrumentation and Detectors</subject><subject>Inverse problem</subject><subject>Nuclear Experiment</subject><subject>Physics</subject><subject>Sparse spectral unmixing</subject><subject>γ-ray spectrometry</subject><issn>0969-8043</issn><issn>1872-9800</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkc2O0zAUhS0EYsrAK4y8hEXKdZzE9o5qNDBIlZD4WbCyHOcaXCVxsJOKPhfvwTPhKp3ZsrJ89Z1zfw4hNwy2DFjz9rA1UzSdT2FbAlO5KBXwJ2TDpCgLJQGekg2oRhUSKn5FXqR0AIBKqvI5ueIl1E0j1IYMXyYTE9I0oZ2j6ekyDv63H39QFyI1dvZHP58optkPZvZhpH6kf_8Un3ffL5ow4BxP1ExT77Gjc6A4Hn0M44DjnA0HNGmJeP6ll-SZM33CV5f3mnx7f_f19r7Yf_rw8Xa3L2xVw1yUClrmJALIVjnWuhKhapRwhuc1TStLaZFXrTU1E7IBoSxvwDGhate2ouLX5M3q-9P0eop59HjSwXh9v9vrcw04E0IxcWSZfb2yUwy_lryoHnyy2PdmxLAkXfK6VlWtuMhos6I2hpQiukdvBvociz7oh1j0ORa9xpKFN5ceSztg9yh7yCED71YA81WOHqNO1uNosfMxH1l3wf-vxz8VD6O4</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Xu, J.</creator><creator>Bobin, J.</creator><creator>de Vismes Ott, A.</creator><creator>Bobin, C.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5652-0094</orcidid></search><sort><creationdate>202002</creationdate><title>Sparse spectral unmixing for activity estimation in γ-RAY spectrometry applied to environmental measurements</title><author>Xu, J. ; Bobin, J. ; de Vismes Ott, A. ; Bobin, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-290b1f8e008b9f1bf2e04697fa3089ab828ce34bca51786079c360f1795fbb743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Environmental radioactivity</topic><topic>Full spectrum analysis</topic><topic>Instrumentation and Detectors</topic><topic>Inverse problem</topic><topic>Nuclear Experiment</topic><topic>Physics</topic><topic>Sparse spectral unmixing</topic><topic>γ-ray spectrometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, J.</creatorcontrib><creatorcontrib>Bobin, J.</creatorcontrib><creatorcontrib>de Vismes Ott, A.</creatorcontrib><creatorcontrib>Bobin, C.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Applied radiation and isotopes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, J.</au><au>Bobin, J.</au><au>de Vismes Ott, A.</au><au>Bobin, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sparse spectral unmixing for activity estimation in γ-RAY spectrometry applied to environmental measurements</atitle><jtitle>Applied radiation and isotopes</jtitle><addtitle>Appl Radiat Isot</addtitle><date>2020-02</date><risdate>2020</risdate><volume>156</volume><spage>108903</spage><epage>108903</epage><pages>108903-108903</pages><artnum>108903</artnum><issn>0969-8043</issn><eissn>1872-9800</eissn><abstract>This paper presents a sparse spectral unmixing algorithm for activity estimation of radionuclides in γ-ray spectrometry. The spectral unmixing method aims to decompose a measured spectrum into spectral signatures of radionuclides, which is sensitive to the choice of the spectral signatures. The sparsity of the solution is imposed to identify the active radionuclides. Experimental results on simulated and real spectra show that the proposed method yields significant improvement for estimating radioactivity at low statistics.
•New radioanuclides' activity estimation based on spectral unmixing.•Full spectrum and Poisson statistics of the detection process taken into account.•Reduction of the time to detect artificial radionuclides in aerosol filter samples.•Extended spectral unmixing to jointly identify the set of active radionuclides.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32056679</pmid><doi>10.1016/j.apradiso.2019.108903</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-5652-0094</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Environmental radioactivity Full spectrum analysis Instrumentation and Detectors Inverse problem Nuclear Experiment Physics Sparse spectral unmixing γ-ray spectrometry |
| title | Sparse spectral unmixing for activity estimation in γ-RAY spectrometry applied to environmental measurements |
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