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  • 标题:Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
  • 本地全文:下载
  • 作者:Shuvojit Paul ; N Narinder ; Ayan Banerjee
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • 期号:1
  • 页码:2023
  • DOI:10.1038/s41598-021-81094-x
  • 出版社:Springer Nature
  • 摘要:Abstract Bayesian inference is a conscientious statistical method which is successfully used in many branches of physics and engineering. Compared to conventional approaches, it makes highly efficient use of information hidden in a measured quantity by predicting the distribution of future data points based on posterior information. Here we apply this method to determine the stress-relaxation time and the solvent and polymer contributions to the frequency dependent viscosity of a viscoelastic Jeffrey’s fluid by the analysis of the measured trajectory of an optically trapped Brownian particle. When comparing the results to those obtained from the auto-correlation function, mean-squared displacement or the power spectrum, we find Bayesian inference to be much more accurate and less affected by systematic errors.
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