Abstract
For measurements with the AMS technique, data set analysis is carry out to determine the measure of central tendency and then to obtain the \(^{10}\)Be concentrations from atmospheric samples. We proposed to compare the traditional statistical method with an alternative exploratory data analysis in order to optimize de data series extracting outlier values. Our preliminary results are here discussed.
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Notes
- 1.
In 2013 LEMA (Laboratorio Nacional de Espectrometria de Masas con Aceleradores) was installed in Mexico. It is a Laboratory specialized in the radiocarbon measurements [1].
- 2.
Quartz filters PM10, samples taken at the Instituto Mexicano del Petróleo, Mexico City, the chosen here is labelled as TO4 corresponding to November 27 to 29, 2012 sampling campaign.
- 3.
Before gas detector, a passive absorbent of Ni\(_3\)Si\(_4\) 75 nm of diameter is used to optimize the separation between \(^{10}\)Be and its isobar interference \(^{10}\)B.
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Acknowledgements
This work was partially supported by CONACYT 51600, 82692, 123655, DGAPA-PAPIIT IA101616, IA103218 and PIIF-2018 Projects.
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De Los Ríos, K. et al. (2019). Be-10 Measurements in Atmospheric Filters Using the AMS Technique: The Data Analysis. In: García-Ramos, JE., Andrés, M., Valera, J., Moro, A., Pérez-Bernal, F. (eds) Basic Concepts in Nuclear Physics: Theory, Experiments and Applications. RÁBIDA 2018. Springer Proceedings in Physics, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-22204-8_8
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