Articles producció científicaCiències Mèdiques Bàsiques

Detector-specific separation of spectral components from repetitive measurements in environmental radiation monitoring

  • Dades identificatives

    Identificador:  imarina:9470881
    Autors:  Reichardt, Ignasi; Cerezo, Agustin; Prieto, Elena; Salvado, Marcal
    Resum:
    Gamma-ray spectrometers for environmental radiation monitoring on field routinely record short-duration spectra. Under normal conditions, these spectra are the sum of a constant background plus photo-peaks from natural emitters, and their resulting bremsstrahlung and Compton scattering radiation. For each monitor, the constant background is specific to the monitor components and the composition of the soil and of the surroundings. On the other hand, the spectrum of the natural gamma-ray emitters also depends on the aspects above, but may also have variable intensity owing to aerosol scavenging in case of rain. We present a case of a large network of detectors where it is unpractical to perform dedicated simulations or measurements of calibration sources. To overcome this difficulty, we propose a method to remotely and systematically extract fundamental spectra. For each spectrum we measure the activity concentration of natural emitters. Then, for each channel, the activity concentration of each natural emitter constitute the coefficients of an equation, where the unknowns are the fundamental spectra of the natural emitters and of the constant background. After repeated measurements, we can construct an over-determined system of equations that is solvable as a non-negative least-squares problem. As a result of the least-squares minimization we obtain the separate spectra of the constant background and of the most relevant natural gamma-ray emitters. This method allows to produce highly specific fundamental spectra for each monitor. This improves the characterization of each monitor and allows to accurately reconstruct subsequently measured spectra using the Full Spectrum Analysis.
  • Altres:

    Referència de l'ítem segons les normes APA: Reichardt, Ignasi; Cerezo, Agustin; Prieto, Elena; Salvado, Marcal (2024). Detector-specific separation of spectral components from repetitive measurements in environmental radiation monitoring. RADIATION PHYSICS AND CHEMISTRY, 223(), 111899-. DOI: 10.1016/j.radphyschem.2024.111899
    Referència a l'article segons font original: RADIATION PHYSICS AND CHEMISTRY. 223 111899-
    DOI de l'article: 10.1016/j.radphyschem.2024.111899
    Any de publicació de la revista: 2024-10-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-05-16
    Autor/s de la URV: Prieto Butillé, Elena / Reichardt Candel, Ignasi / Salvadó Artells, Marçal
    Departament: Ciències Mèdiques Bàsiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Reichardt, Ignasi; Cerezo, Agustin; Prieto, Elena; Salvado, Marcal
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Grup de recerca: Física i Cristal·lografia de Materials
    Àrees temàtiques: Administração pública e de empresas, ciências contábeis e turismo, Chemistry, physical, Engenharias ii, Nuclear science & technology, Physics, atomic, molecular & chemical, Radiation
    Adreça de correu electrònic de l'autor: m.salvado@urv.cat, m.salvado@urv.cat, ignasi.reichardt@urv.cat, ignasi.reichardt@urv.cat, elena.prieto@urv.cat, elena.prieto@urv.cat
  • Paraules clau:

    Calibration
    Environmental radioactivity monitoring
    Full spectrum analysis
    Gamma-ray spectrometry
    Life on land
    Nai(tl)
    Naturally occurring radionuclides
    Network
    Chemistry
    Physical
    Nuclear Science & Technology
    Physics
    Atomic
    Molecular & Chemical
    Radiation
    Administração pública e de empresas
    ciências contábeis e turismo
    Engenharias ii
  • Documents:

  • Cerca a google

    Search to google scholar