Search Results - "Marchais, T."

Development of a neutron probe to perform a combined measurement of uranium concentration and hydrogen porosity for mining applications by Fondement, V., Perot, B., Marchais, T., Loridon, J., Toubon, H., Bensedik, Y., Collot, J.

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Low and high-resolution gamma-ray spectroscopy for the characterization of uranium contamination by Salvador, F., Marchais, T., Perot, B., Allinei, P.-G., Morales, F., Gueton, O., Venara, J., Cuozzo, M., Fichet, P., Mayet, F.

“…Decommissioning is the last step in the life cycle of a nuclear facility. After the evacuation of the facility components, the remaining structures such as…”
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Detailed MCNP Simulations of Gamma-Ray Spectroscopy Measurements With Calibration Blocks for Uranium Mining Applications by Marchais, T., Perot, B., Carasco, C., Allinei, P.-G, Chaussonnet, P., Ma, J.-L, Toubon, H.

“…AREVA Mines and the Nuclear Measurement Laboratory of CEA Cadarache are collaborating to improve the sensitivity and precision of uranium concentration…”
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The use of self-induced X-ray fluorescence in gamma-ray spectroscopy of uranium ore samples by Marchais, T., Pérot, B., Carasco, C., Ma, J-L., Allinei, P-G., Toubon, H., Goupillou, R., Collot, J.

“…Gamma logging for uranium exploration are currently based on total counting with Geiger Müller gas detectors or NaI (TI) scintillators. However, the total…”
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Gamma-ray spectroscopy measurements and simulations for uranium mining by Marchais, T., Pérot, B., Carasco, C., Allinei, P-G, Chaussonnet, P., Ma, J-L, Toubon, H.

“…AREVA Mines and the Nuclear Measurement Laboratory of CEA Cadarache are collaborating to improve the sensitivity and precision of uranium concentration…”
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Estimation of uranium concentration in ore samples with machine learning methods on HPGe gamma-ray spectra by Allinei, P.G., Pérot, N., Pérot, B., Marchais, T., Fondement, V., Toubon, H., Bruned, V., Berland, A., Goupillou, R.

“…Within the scope of determining the concentration of uranium in ore samples by gamma-ray spectrometry, we tested a series of machine-learning (ML) algorithms…”
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