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Bhole, G, Shukla, A and Mahesh, TS (2014)

Benford distributions in NMR

arXiv:1406.7077 [physics.data-an]; last accessed February 25, 2017.

ISSN/ISBN: Not available at this time. DOI: Not available at this time.



Abstract: Benford's Law is an empirical law which predicts the frequency of significant digits in databases corresponding to various phenomena, natural or artificial. Although counter intuitive at the first sight, it predicts a higher occurrence of digit 1, and decreasing occurrences to other larger digits. Here we report the Benford analysis of various NMR databases and draw several interesting inferences. We observe that, in general, NMR signals follow Benford distribution in time-domain as well as in frequency domain. Our survey included NMR signals of various nuclear species in a wide variety of molecules in different phases, namely liquid, liquid-crystalline, and solid. We also studied the dependence of Benford distribution on NMR parameters such as signal to noise ratio, number of scans, pulse angles, and apodization. In this process we also find that, under certain circumstances, the Benford analysis can distinguish a genuine spectrum from a visually identical simulated spectrum. Further we find that chemical-shift databases and amplitudes of certain radio frequency pulses generated using optimal control techniques also satisfy Benford's law to a good extent.


Bibtex:
@ARTICLE{, author = {{Bhole}, Gaurav and {Shukla}, Abhishek and {Mahesh}, T.~S.}, title = "{Benford distributions in NMR}", journal = {ArXiv e-prints}, archivePrefix = "arXiv", eprint = {1406.7077}, primaryClass = "physics.data-an", keywords = {Physics - Data Analysis, Statistics and Probability, Quantum Physics}, year = 2014, month = jun, adsurl = {http://adsabs.harvard.edu/abs/2014arXiv1406.7077B}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }


Reference Type: Preprint

Subject Area(s): Natural Sciences, Physics