Benford analysis: A useful paradigm for spectroscopic analysis

• DOI: 10.1016/j.cplett.2015.08.061
• Publication Date: 2015-09-04T01:44:16Z
• Authors: Gaurav Bhole; Abhishek Shukla; T.S. Mahesh
• Keywords: Physics - Data Analysis, Statistics and Probability; 0103 physical sciences; FOS: Physical sciences; 01 natural sciences; Data Analysis, Statistics and Probability (physics.data-an)

Benford's law is a statistical inference to predict the frequency of significant digits in naturally occurring numerical databases. In such databases this law predicts a higher occurrence of the digit 1 in the most significant place and decreasing occurrences to other larger digits. Although counter-intuitive at first sight, Benford's law has seen applications in a wide variety of fields like physics, earth-science, biology, finance etc. In this work, we have explored the use of Benford's law for various spectroscopic applications. Although, we use NMR signals as our databases, the methods described here may also be extended to other spectroscopic techniques. In particular, with the help of Benford analysis, we demonstrate the detection of weak NMR signals and spectral corrections. We also explore a potential application of Benford analysis in the image-processing of MRI data.<br/>6 pages, 6 figures<br/>