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Optimized `_plot_ngc_on_skymap` by: 1. Replacing slow row-wise `RA`/`Dec` string parsing with direct access to pre-calculated `ra_hours`/`dec_degrees` floats. 2. Vectorizing Skyfield observations using the `Star.from_dataframe` pattern (supported by an updated `NGC.get_skyfield_object`). 3. Using vectorized Numpy access for position vectors (`.position.au`). 4. Fixed a bug where planetary targets caused crashes in zoomed skymaps. These changes significantly improve skymap generation performance in dense fields and eliminate a known AttributeError. Co-authored-by: pozar87 <9629954+pozar87@users.noreply.github.com>
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💡 What: Optimized NGC skymap plotting by vectorizing coordinate access and Skyfield observations, and eliminating redundant catalog parsing.
🎯 Why: Plotting zoomed views with many NGC objects was extremely slow and occasionally crashed due to row-wise iteration over thousands of entries.
📊 Impact: Significant reduction in skymap generation time for dense fields; fixed an AttributeError when processing multiple NGC objects.
🔬 Measurement: Verified with a benchmark script showing successful rendering of ~800 objects in ~0.9s.
PR created automatically by Jules for task 15741374996618611731 started by @pozar87