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Multiple Scattering of Electrons
Abstract
A theoretical treatment of multiple Rutherford scattering is given which is exact if one considers electrons with the same total path length in the scatterer. The approximations necessary for the actual solution of the problem for a thin scatterer can be shown to have little effect on the results for small angle scattering. The distribution of scattering is expressed as a series in Legendre polynomials which has been evaluated numerically; the final result for thin scattering is approximately a Gaussian curve. It is shown that this distribution depends in a sensitive way upon the deviation from the Rutherford law for small angle scattering due to screening by electrons. This may perhaps explain the discrepancies between experiments and theory.
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Cited by
Allison, J., Amako, K., Apostolakis, J., Arce, P., Asai, M., Aso, T., Bagli, E., Bagulya, A., Banerjee, S., Barrand, G., et al. (2016) · Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment · doi:10.1016/j.nima.2016.06.125 · Cited by 4,194
Penetration and energy-loss theory of electrons in solid targets
Kanaya, K., & Okayama, S. (1972) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/5/1/308 · Cited by 1,457
Jablonski, A. (2014) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/47/5/055301 · Cited by 19
Metadata
- Authors
- Goudsmit, S., & Saunderson, J. L.
- Venue
- Physical Review
- Publisher
- American Physical Society (APS)
- Published
- 1940-01-01
- Volume
- 57
- Issue
- 1
- Pages
- 24-29
- ISSN
- 0031-899X (ISSN-L)
- OpenAlex
- W3199326566
- Cited by
- 621
- References
- 0
- FWCI
- 10.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Multiple Scattering of Electrons. https://app.cochat.ai/papers/10.1103/physrev.57.24
- The paper
- Goudsmit, S., & Saunderson, J. L. (1940). Multiple Scattering of Electrons. Physical Review. https://doi.org/10.1103/physrev.57.24
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.