1 / 18

Comparative Analysis of Correlations Between Measurements using 1-min Pair Samples

This study aims to investigate the correlations between measurements using 1-minute pair samples to determine if there is a correlation between Dm and σM as well as between μ and Λ. By analyzing same DSDs (co-relate) and comparing one against the other (cross-relate), this research explores biases in Dm, σM, μ, and Λ in SN16 and SN25 datasets. Significant biases in μ impact FSE comparisons, highlighting the need to mitigate biases for accurate comparisons. With 38 events to assess instrument-to-instrument variability, this study provides insights into data analysis.

xylia
Download Presentation

Comparative Analysis of Correlations Between Measurements using 1-min Pair Samples

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. For (1), is there a Dm - M correlation ? For (2), is there a  -  correlation ? Can address these questions using the 1-min pair samples: (a) ‘co-relate’ (same DSDs) (b) ‘cross-relate’ (one against the other)

  2. No bias in Dm No bias in M

  3. SN16 – SN16 M SN25 – SN16 SN16 – SN25 SN25 – SN25 M

  4. Power-law fitted line Same line

  5.  shows bias SN25 data : more small drops

  6. Significant bias in  → so difficult to compare FSE values Remove mean bias and re-compare ……

  7. Instrument-to-instrument variability: 38 events

More Related