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of metrology</a> </li> </ul> </nav> </div> <section class="container-article" id="main"> <article class="article_content"> <div class="region region-content"> <div id="block-rnm-theme-page-title" class="block block-core block-page-title-block"> <h1 class="page-title"><span property="schema:name" class="field field--name-title field--type-string field--label-hidden">Some notions of metrology</span> </h1> </div> <div id="block-rnm-theme-irsn-system-main" class="block block-system block-system-main-block"> <article about="/en/some-notions-metrology-0" typeof="schema:Article" class="node node--type-article node--view-mode-full"> <span property="schema:name" content="Some notions of metrology" class="rdf-meta hidden"></span> <div class="node__content"> <div property="schema:text" class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><h2 class="rtejustify">METROLOGICAL BACKGROUND RADIATION</h2> <p class="rtejustify"><strong>Metrological background radiation, or "blank run” </strong>refers to the count rate induced by the environment, the reagent composition and instrument electronics. This background must be subtracted from the gross measured value to determine the net activity of a sample.</p> <p class="rtejustify">Indeed, even if radioactivity in a sample is null , the instrument used for the measurement will indicate a non-zero value : for example, a count rate expressed in counts per second (cs-1) corresponding to the number of detected radioactive disintegrations per unit of time. The radioactive decays detected by the instrument under these conditions come from the ambient natural radiation (cosmic and telluric), and trace levels of natural radionuclides:</p> <ul> <li class="rtejustify">In the components of the measuring device itself (210Pb of shielding, electronic components ...);</li> <li class="rtejustify">In the containers used for measurement (40K in the glass, ...);</li> <li> <div class="rtejustify">In the chemical reagents used for the preparation of the sample (acids ...) ...</div> <p class="rtejustify"></p> </li> </ul> <h2 class="rtejustify">MEASUREMENT UNCERTAINTY</h2> <p class="rtejustify">The method-specific <strong>measurement uncertainty </strong>is a parameter associated with the result of a significant measurement that describes the possible range in which the true value in which the true physical value may be found within the limits of a predefined probability.</p> <p class="rtejustify">Measurement uncertainty comes from the characteristics of the measuring device, the operator, the measurement environment (temperature, vibration, etc.), the measuring procedure and other factors.<br /> The value read on the measuring device may be anywhere within the measurement uncertainty range, therefore more or less close to the true value of the measured variable. Thus, on the graph, the uncertainty could be represented as follows:</p> <p class="rtejustify"><img alt="" src="data:image/png;base64,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" /></p> <h2 class="rtejustify">What about STANDARDS?</h2> <p class="rtejustify">In order to guarantee the results quality, the reference framework for the National Measurement Network includes the European applicable mandatory standards, in particular NF EN ISO / IEC 17025:</p> <p class="rtejustify">General Requirements for the Competence of Calibration and Test Laboratories and in addition to  <a href="http://www.iso.org/iso/fr/home.htm?=">International</a> and <a href="http://www.afnor.org/">French Standards</a>.</p> </div> </div> </article> </div> </div> </article> <a href="#" class="return-to-up"> <img src="/sites/default/themes/rnm_theme/assets/images/arrow-up-2.svg" alt="return to top"/> <span>return to top</span> </a> </section> </div> </div> <footer> <div class="copyright"> <span>© 2025 Réseau national de mesures de la radioactivité de l'environnement </span> </div> <div class="region region-footer"> <nav role="navigation" aria-labelledby="block-pieddepage-menu" 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