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Estimation of Neutron Mean Wavelength From Rocking Curve Data

Published

Author(s)

Kevin J. Coakley, Z Chowdhuri, W M. Snow, J M. Richardson, Maynard S. Dewey

Abstract

At NIST, an in-beam neutron lifetime experiment is underway. In part of the experiment, a neutron detector is calibrated. The accuracy of the detector calibration depends, in part, on how accurately the mean wavelength of a neutron beam can be estimated from rocking curve data. Based on a stochastic model for neutron scattering, we simulate rocking curve data. To speed up the simulation, an importance sampling method is used. For the cases studied, importance sampling reduces the execution time of the simulation code by over a factor of 500. For simulated data, the statistical bias of the mean wavelength estimate is found to be 0.004 percent.
Citation
Measurement Science & Technology
Volume
14
Issue
No. 1

Keywords

Bragg scattering, importance sampling, Laue scattering, Monte Carlo, mosaic crystal, neutron flux detector, neutron scattering pyrolytic

Citation

Coakley, K. , Chowdhuri, Z. , Snow, W. , Richardson, J. and Dewey, M. (2003), Estimation of Neutron Mean Wavelength From Rocking Curve Data, Measurement Science & Technology (Accessed May 17, 2024)

Issues

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Created January 1, 2003, Updated February 17, 2017