From d9cc355dc778217aef5013076cc1fcc9bb2e4cb5 Mon Sep 17 00:00:00 2001
From: Lalit Rajendran <lrajendr@purdue.edu>
Date: Tue, 6 Apr 2021 15:09:52 -0400
Subject: [PATCH] added readme

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+This code package implements the density integration methodology for BOS outlined in:
+
+1) 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 Technology. doi:10.1088/1361-6501/ab60c8
+
+2) Rajendran, L., Zhang, J., Bane, S., & Vlachos, P. (2020). Uncertainty-based weighted least squares density integration for background-oriented schlieren. Experiments in Fluids, 61(11), 239. https://doi.org/10.1007/s00348-020-03071-w
+
+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'
+
+Please cite the above paper if you use this code package for your work.
+