Update README.md

Author: RichardGFrench

README.md

@@ -6,7 +6,7 @@ Version 1.1 was offically released on February 1, 2019.
 ## Introduction
 The Cassini Radio Science Subsystem (RSS) was used during the Cassini orbital tour of Saturn to observe a superb series of ring occultations that resulted in high-resolution, high-SNR radial profiles of Saturn's rings at three radio wavelengths: 13 cm (S band), 3.6 cm (X band), and 0.9 cm (Ka band). Radial optical depth profiles of the rings at 1- and 10-km resolution produced by the Cassini RSS team, using state of the art signal processing techniques to remove diffraction effects, are available on NASA's Planetary Data System (PDS). These archived products are likely to be quite adequate for many ring scientists, but for those who wish to generate their own diffraction-reconstructed ring profiles from Cassini RSS observations, we offer rss_ringoccs: a suite of Python-based  analysis tools for Cassini Radio Science (RSS) ring occultations.
 
-The purpose of rss_ringoccs is to enable scientists to produce "on demand" radial optical depth profiles of Saturn's rings from the raw RSS data, without requiring a deep familiarity with the complex processing steps involved in calibrating the data and correcting for the effects of diffraction. The code and algorithms are extensively documented, providing a starting point for users who wish to test, refine, or optimize the straightforward methods we have employed. Our emphasis has been on clarity, sometimes at the expense of programming efficiency and execution time. rss_ringoccs does an excellent job of reproducing existing 1km-resolution RSS processed ring occultation data already present on NASA's PDS Ring-Moons Node, but we make no claim to having achieved the state-of-the-art in every respect. We encourage users to augment our algorithms and to report on those improvements, so that they can be  incorporated in future editions of rss_ringoccs. 
+The purpose of rss_ringoccs is to enable scientists to produce "on demand" radial optical depth profiles of Saturn's rings from the raw RSS data, without requiring a deep familiarity with the complex processing steps involved in calibrating the data and correcting for the effects of diffraction. The code and algorithms are extensively documented, providing a starting point for users who wish to test, refine, or optimize the straightforward methods we have employed. Our emphasis has been on clarity, sometimes at the expense of programming efficiency and execution time. rss_ringoccs does an excellent job of reproducing existing 1 km-resolution RSS processed ring occultation data already present on NASA's PDS Ring-Moons Node, but we make no claim to having achieved the state-of-the-art in every respect. We encourage users to augment our algorithms and to report on those improvements, so that they can be  incorporated in future editions of rss_ringoccs. 
 
 ## Installation and Documentation
 Detailed installation instructions and full documentation are contained in https://github.com/NASA-Planetary-Science/rss_ringoccs/tree/master/docs/rss_ringoccs__User_Guide.pdf.