2022
DOI: 10.1103/physreva.106.063515
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Statistical analysis of intensity fluctuations in the second harmonic of a multimode Nd:YAG laser through a modified Pearson correlation coefficient

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Cited by 5 publications
(5 citation statements)
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“…These RSB findings are also consistent with the analysis of the correlation coefficient r (λ1, λ2) between intensity fluctuations of modes at distinct wavelengths in the same replicas at each pump energy and magnetic field intensity [53][54][55] in Supplementary Information V. We also probe the findings and analysis of RSB transition and correlation coefficient with numerical simulation results based on scattering theory in Supplementary Information VI.…”
Section: Observation Of Phe In Rlsupporting
confidence: 84%
“…These RSB findings are also consistent with the analysis of the correlation coefficient r (λ1, λ2) between intensity fluctuations of modes at distinct wavelengths in the same replicas at each pump energy and magnetic field intensity [53][54][55] in Supplementary Information V. We also probe the findings and analysis of RSB transition and correlation coefficient with numerical simulation results based on scattering theory in Supplementary Information VI.…”
Section: Observation Of Phe In Rlsupporting
confidence: 84%
“…The Pearson coefficient is widely applied to analyze the linear correlation between two sets of data. 34 Then, considering the peak and stability of the spectral line intensity, the average Pearson coefficient r of 15 samples is shown in Fig. 3 to represent the correlations between the spectral line intensities (including Fe I 404.581 nm, Fe I 425.079 nm, C I 247.856 nm and Si I 288.858 nm) and image features.…”
Section: Resultsmentioning
confidence: 99%
“…The covariance analysis illucidates about the sensitivity of the parameters towards the observed elastic and electronic properties and about the inter-dependence of the parameters. Having obtained the data sets and the parameters, the correlation coefficient between the two quantities x and y, which may be from the set of parameters or observables, can be calculated within covariance analysis as [26][27][28],…”
Section: Statistical and Covariance Analysismentioning
confidence: 99%