Fixing linkings

joss/paper.md

@@ -92,12 +92,12 @@ XRTpy's capabilities are designed to empower researchers and scientists to fully
 
 # Development of XRTpy Version 0.4.0
 
-XRTpy version 0.4.0, released on December 5, 2023, represents a significant tool in solar physics data analysis. This version, available through the Python Package Index (PyPI), can be easily installed using pip and is compatible with Python 3.11 and later, aligning with the latest Python standards.
+XRTpy version `0.4.0`, released on December 5, 2023, represents a significant tool in solar physics data analysis. This version, available through the [Python Package Index](https://pypi.org/project/aiapy/) via `pip`., can be easily installed using pip and is compatible with Python 3.11 and later, aligning with the latest Python standards.
 
 In fostering collaboration within the solar physics community, XRTpy seamlessly integrates with similar packages. Designed towards working in conjunction with aiapy for SDO/AIA observations, EISpack for Hinode-EIS data analysis, and irispy-lmsal for IRIS observations. This integration provides users with a smooth and comprehensive analysis experience. Further building on the SunPy framework (SunPy Project et al., 2020), XRTpy effectively utilizes the `Map` object for handling Hinode-XRT image data.
 
 
-The development of XRTpy is an open and collaborative effort, hosted on GitHub to ensure transparency and encourage community involvement. The project's documentation is comprehensive and continuously updated, available online via Read the Docs. To maintain high-quality standards, XRTpy employs a robust testing framework built on pytest. This framework covers a range of aspects including different Python versions, online functionality, documentation integrity, software functionality, and code style checks, ensuring a reliable and effective tool for users.
+The development of XRTpy is an open and collaborative effort, hosted on [Github](https://github.com/HinodeXRT/xrtpy) to ensure transparency and encourage community involvement. The project's documentation is comprehensive and continuously updated, available online via Read the Docs. To maintain high-quality standards, XRTpy employs a robust testing framework built on  [`pytest`](https://pytest.org). This framework covers a range of aspects including different Python versions, online functionality, documentation integrity, software functionality, and code style checks, ensuring a reliable and effective tool for users.
 
 
 # Acknowledgements