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Miniature Signals and Miniature Counters

Accuracy Assurance Via Microprocessors and Multiparameter Control Techniques

Bibliographic Data

ID9243841
AuthorsL A Currie, R W Gerlach, G A Klouda, F C Ruegg, G B Tompkins
Year1983
Volume25
Issue2
Pages553-564
Publication date1983-01-01
Open AccessYes
TypeARTICLE
VenueRadiocarbon (JOURNAL)
Journal identifiersISSN: 0033-8222 • E-ISSN: 1945-5755
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0033822200005865
OpenAlexW2501584664
LanguageEN
Citations received4
References cited6

When 14 C signals approach background levels, the validity of assumptions concerning Poisson counting statistics and measurement system stability becomes crucial in interpreting the resultant low-level counting observations. This has been demonstrated in our previous work on detection limits for non-Poisson error and it is critical in our current studies of carbonaceous pollutants, where the 14 C signal from just 5 mg C is comparable to that of the background for our miniature gas proportional counters. To assure data quality, our multi-detector system is designed for the on-line monitoring of critical parameters that reflect both the (statistical) nature of the non-Poisson errors and the underlying (physical) causes. It sends >60 bits of information/pulse to a microprocessor which automatically generates, for each counting period, two-dimensional spectra and multiparameter correlation and control charts. To evaluate the validity of long-term counting of 1–10 mg C we use robust (statistical) estimators, optimal counting interval subdivision, and time series analysis of the individual pulses. New opportunities for selective sampling and chemical fractionation which come with the small sample measurement capability have led us to give special attention also to higher control levels, involving e g, isotonic heterogeneity and representative standard materials

Algorithm · Computer hardware · Detector · Estimator · Microprocessor · Poisson distribution · Quality assurance · Statistics · Telecommunications · Air Quality Monitoring and Forecasting · Atmospheric and Environmental Gas Dynamics · Computer Science · Engineering · Mathematics · Scientific Measurement and Uncertainty Evaluation

  • On the Validity of the Poisson Hypothesis for Low-Level Counting

    Open Access•L A Currie, E M Eijgenhuijsen et al.•Radiocarbon•1997

  • Developments in Radiocarbon Technologies

    Open Access•Pavel P Povinec, A E Litherland et al.•Radiocarbon•2009

  • The Power of 14 C Measurements Combined with Chemical Characterization for Tracing Urban Aerosol in Norway

    Open Access•L A Currie, G A Klouda et al.•Radiocarbon•1986

  • Evolution and Multidisciplinary Frontiers of 14 C Aerosol Science

    Open Access•L A Currie•Radiocarbon•2000

  • On the Origin of Carbonaceous Particles in American Cities

    Open Access•L A Currie, G A Klouda et al.•Radiocarbon•1983

Citations per year0.1
Citation span1986 - 2009 (24)
Highly citedNo

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Open DOISci-HubOpen Access
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