Update joss/paper.md

Co-authored-by: Nick Murphy <[email protected]>

joss/paper.md

@@ -85,7 +85,7 @@ XRTpy's capabilities are designed to empower researchers and scientists to fully
 
 ![Figure 2: The temperature response is plotted for all XRT filters using XRTpy.  The plot also shows the effects of using different abundance models from Chianti for each filter.. .\label{fig:Figure 2}](xrtpy_temperature_response_plot.pdf)
 
-![In Figure 3, the application of the 'temperature_from_filter_ratio' function is illustrated, demonstrating its role in calculating electron temperature and volume emission measure through filter ratios. The dataset, collected on January 28, 2011, between 01:31:55 and 01:32:05 UTC, comprises two images captured with specific filters. These images offer unique insights into solar conditions during the observed moments, as shown by [@Guidoni:2015]. .\label{fig:Figure 3}](xrtpy_temperature_from_filter_ratio_plot.pdf)
+![In Figure 3, the application of the `temperature_from_filter_ratio` function is illustrated, demonstrating its role in calculating electron temperature and volume emission measure through filter ratios. The dataset, collected on January 28, 2011, between 01:31:55 and 01:32:05 UTC, comprises two images captured with specific filters. These images offer unique insights into solar conditions during the observed moments, as shown by [@Guidoni:2015]. .\label{fig:Figure 3}](xrtpy_temperature_from_filter_ratio_plot.pdf)
 
 
 # Acknowledgements