[gnuastro-commits] master 861946a2: Book: fix some typos in color image tutorial

[Mohammad Akhlaghi]

branch: master
commit 861946a240023fd29da863f2e7083b79c841e943
Author: Sepideh Eskandarlou <sepideh.eskandarlou@gmail.com>
Commit: Mohammad Akhlaghi <mohammad@akhlaghi.org>

    Book: fix some typos in color image tutorial
    
    Until now, two typos were in "color image with full dynamic range"
    tutorial.
    
    With this commit, both of them are corrected.
---
 doc/gnuastro.texi | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/gnuastro.texi b/doc/gnuastro.texi
index 42bcedbc..048c6a1a 100644
--- a/doc/gnuastro.texi
+++ b/doc/gnuastro.texi
@@ -8758,7 +8758,7 @@ These three filters are hard-wired in your monitor and in 
most normal camera (fo
 For more on the concept and usage of colors, see @ref{Color} and 
@ref{Colormaps for single-channel pixels}.
 
 @cindex Dynamic range
-However, normal images (that you take with your smarphone during the day for 
example) have a very limited dynamic range (difference between brightest and 
fainest part of an image).
+However, normal images (that you take with your smartphone during the day for 
example) have a very limited dynamic range (difference between brightest and 
fainest part of an image).
 For example in an image you take from a farm, the brightnest pixel (the sky) 
cannot be more than 255 times the faintest/darkest shadow in the image (because 
normal cameras produce unsigned 8 bit integers; containing @mymath{2^8=256} 
levels; see @ref{Numeric data types}).
 
 However, astronomical sources span a much wider dynamic range such that their 
central parts can be tens of millions of times brighter than their larger outer 
regions.
@@ -9270,7 +9270,7 @@ $ astscript-color-faint-gray $R $G $B $params 
--output=m51-sb.pdf \
                              --regions=regions.fits
 @end example
 
-Open @file{R-sb.pdf} and have a look.
+Open @file{m51-sb.pdf} and have a look.
 Do you see how the different regions (SB intervals) have been coloured 
differently?
 They come from the SB levels we defined, and because it is using absolute 
thresholds in physical units of surface brightness, the visualization is not 
only a nicelooking color image, but can be used in scientific analysis.