From 43c2d52a00bb957a3165c16373a21ea34b2784c0 Mon Sep 17 00:00:00 2001 From: Lalit Rajendran Date: Fri, 24 Jan 2020 11:42:56 -0500 Subject: [PATCH] updated readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d7c4a2d..a2b403f 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -This code package implements the density uncertainty quantification methodology for BOS outlined in: +This code package implements the density integration and uncertainty quantification methodology for BOS outlined in: Rajendran, L. K., Zhang, J., Bhattacharya, S., Bane, S., & Vlachos, P. (2019). Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements.Measurement Science and @@ -6,5 +6,5 @@ Technology. doi:10.1088/1361-6501/ab60c8 Please cite the above paper if you use this code package for your work. -sample_script.py is a sample python script that loads the sample dataset in 'sample-data.mat' and calls the uncertainty quantification function to perform the calculations. +sample_script.py is a sample python script that loads the sample dataset in 'sample-data.mat' and calls the density integration + uncertainty quantification function to perform the calculations. It saves the result to 'sample-result.mat' and a figure to 'sample-result.png'