Is a fit with high R-factors including the background and low R-values without the background reliable?
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A fit with high R-factors including the background and low R-values without the background may not be reliable. The R-factor gap in macromolecular crystallography suggests an underlying inadequacy in the models used to explain observations . The difference between Rcryst and Rmerge, which is the R-factor gap, is larger in macromolecular crystallography compared to small-molecule crystallography . Simulated data showed that the reason for high R-factors in macromolecular crystallography is not experimental error or phase bias, but rather an underlying inadequacy in the models used . Therefore, relying solely on low R-values without considering the background may not provide an accurate representation of the true nature of the nanoscale .
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Open access•Posted Content | The answer to the query is not provided in the paper. The paper discusses the consideration of correlations in shape between the background and theoretical model in fitting theory to data, but it does not specifically address the reliability of fits with high R-factors including the background and low R-values without the background. |
| The answer to the query is not explicitly mentioned in the provided paper. | |
| The answer to the query is not provided in the paper. The paper is about obtaining R-matrix parameters and the astrophysical S factor for the Li6(d,a)He4 reaction. | |
| The provided paper does not discuss the reliability of fits with high R-factors including the background and low R-values without the background. |
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