XXVII. On simplifying the reduction by least squares of angular distribution experiments in nuclear physics
- 1 March 1954
- journal article
- research article
- Published by Taylor & Francis in Journal of Computers in Education
- Vol. 45 (362), 237-245
- https://doi.org/10.1080/14786440308520445
Abstract
The reduction of angular distribution experiments by the method of least squares is often very laborious. An experimental procedure is described which simplifies the computations by using a particular set of experimental angles and of relative weights of the observations at each angle. The method of calculation is an application of Gauss' Formula of Numerical Integration; a proof that this method is a ‘least squares’ reduction is given in an Appendix. Four-figure tables are included to facilitate the use of the method.Keywords
This publication has 4 references indexed in Scilit:
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- Least-Squares' Fitting of Data by Means of PolynomialsReviews of Modern Physics, 1947
- Table of the zeros of the Legendre polynomials of order 1-16 and the weight coefficients for Gauss’ mechanical quadrature formulaBulletin of the American Mathematical Society, 1942