<h2>Overview</h2>
<p>AstroPhot is an innovative astronomical image modeling tool that promises speed and flexibility for researchers and enthusiasts alike. This Python-based package leverages the power of PyTorch to handle various analysis tasks efficiently. With a focus on precise multi-wavelength photometry, AstroPhot is designed for applications like LSB imaging and dealing with crowded fields, making it a versatile asset in the realm of astronomy.</p>
<p>The development by Connor Stone underscores the potential of AstroPhot in tackling the demands of modern astronomical data, especially as techniques evolve to analyze massive datasets from the latest telescopes. Although AstroPhot is rooted in the capabilities of PyTorch, it sets itself apart by not being a machine learning tool, positioning itself uniquely for astronomical image analysis.</p>
<h2>Features</h2>
<ul>
<li><strong>Fast and Efficient</strong>: AstroPhot is optimized for quick processing, allowing researchers to handle large datasets without delays.</li>
<li><strong>Multi-Wavelength Photometry</strong>: The package excels at analyzing data across different wavelengths, providing comprehensive insights into astronomical objects.</li>
<li><strong>Crowded Fields Handling</strong>: Specially designed algorithms help in extracting data from images with densely populated celestial bodies.</li>
<li><strong>LSB Imaging</strong>: Ideal for detecting and analyzing low surface brightness objects, enhancing research capabilities in this niche area.</li>
<li><strong>Python 3 Compatibility</strong>: AstroPhot ensures seamless installation and functionality with Python 3, which is vital for modern development.</li>
<li><strong>User-Friendly Documentation</strong>: The project comes with extensive resources available on ReadTheDocs, helping users navigate through various use cases and functionalities.</li>
<li><strong>Community-Driven Development</strong>: Ongoing development and contributions from various astronomers and developers enhance the tool's features and performance regularly.</li>
</ul>


Autostronomy

AstroPhot