Update README.md

README.md

@@ -8,7 +8,7 @@
 
 **EasyTS** is a user-friendly Python package designed to simplify and accelerate the analysis of transmission 
 spectroscopy data for exoplanets. The package can estimate a self-consistent medium-resolution transmission spectrum 
-with uncertainties from JWST NIRISS data in a matter of minutes, even when using a Gaussian Process-based noise model.
+with uncertainties from JWST NIRISS data in minutes, even when using a Gaussian Process-based noise model.
 
 ![](doc/source/examples/e01/example1.png)
 
@@ -18,31 +18,31 @@ Read the docs at [easyts.readthedocs.io](https://easyts.readthedocs.io).
 
 ## Key Features
 
-- **Fast modeling of spectroscopic transit time series**: EasyTS uses PyTransit's advanced `TSModel` transit 
-  model that is specially tailored for fast and efficient modeling of spectroscopic transit (or eclipse) time series.
+- **Fast modelling of spectroscopic transit time series**: EasyTS uses PyTransit's advanced `TSModel` transit 
+  model that is specially tailored for fast and efficient modelling of spectroscopic transit (or eclipse) time series.
 - **Flexible handling of limb darkening**: The stellar limb darkening can be modelled freely either by any of the standard 
   limb darkening laws (quadratic, power-2, non-linear, etc.), by numerical stellar intensity profiles obtained
   directly from stellar atmosphere models, or by an arbitrary ser-defined radially symmetric function.
 - **Handling of Correlated noise**: The noise model can be chosen between white or time-correlated noise, where the
   time-correlated noise is modelled as a Gaussian process.
 - **Model saving and loading**: Seamless model saving and loading allows one to create a high-resolution analysis starting
   from a saved low-resolution analysis.
-- **Full control of resolution**: EasyTS represents the transmission spectrum as a cubic spline, with full 
+- **Full control of resolution**: EasyTS represents the transmission spectrum as a cubic spline, with complete 
   flexibility to set and modify the number and placement of spline knots, allowing variable resolution throughout the 
   analysis.
 
 ## Details
 
 EasyTS uses PyTransit's `TSModel`, a transit model that is specially optimised for transmission spectroscopy and allows
 for simultaneous modelling of hundreds to thousands of spectroscopic light curves 20-30 times faster than when using 
-standard transit models not specifically designed for transmission spectroscopy. 
+standard transit models not explicitly designed for transmission spectroscopy. 
 
-A full posterior solution for a low-resolution transmission spectrum with a data resolution of R=100 
+A complete posterior solution for a low-resolution transmission spectrum with a data resolution of R=100 
 takes 3-5 minutes to estimate assuming white noise, or 5-15 minutes if using a Gaussian process-based likelihood
 model powered by the celerite2 package. A high-resolution spectrum of the JWST NIRISS WASP-39 b observations 
 by [Feinstein et al. (2023)](https://ui.adsabs.harvard.edu/abs/2023Natur.614..670F/abstract) with ~3800
 spectroscopic light curves (as shown above) takes about 1.5 hours to optimise and sample on a three-year-old 
-AMD Ryzen 7 5800X with 8 cores.
+AMD Ryzen 7 5800X with eight cores.
 
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 © 2024 Hannu Parviainen