Svenesis CosmicDepth 3D

Version 1.0.0 – GPL-3.0-or-later

Renders catalogued objects from plate-solved images as an interactive 3D scene. Objects are positioned at their actual astronomical distances behind an image plane, with “push-pin depth sticks” connecting each marker to its exact pixel location. This lets you perceive depth relationships – for example, distinguishing a nearby nebula at 1,344 light-years from a distant galaxy 30 million light-years away.

3D Scene Layout

• Image plane rendered as a flat rectangle matching the original orientation
• Depth sticks extending from markers down to the corresponding image pixels
• Rotatable embedded view via Plotly and QWebEngineView
• Viewer perspective with depth (X), pixel-X (Y), and pixel-Y (Z) axes

Scaling & View Modes

• Stretched-log (default) – piecewise-logarithmic distance axis
• Linear – true proportional distances
• Hybrid – linear up to 10,000 ly, logarithmic beyond
• View ranges – Cosmic (all distances) or Galactic (<100,000 ly)

Distance Resolution

Priority chain:

• Local JSON cache (90-day TTL)
• SIMBAD mesDistance table
• Redshift × Hubble law calculation (z < 0.5)
• Type-based median fallback (clearly labeled)

Object Selection

Color-coded taxonomy matching Annotate Image: galaxies, emission and reflection nebulae, planetary nebulae, clusters, supernova remnants, dark nebulae, HII regions, named stars, asterisms, and quasars.

Performance

• Parallel SIMBAD tiling with up to 8 concurrent requests
• Cached Plotly JavaScript bundle (~3.5 MB)
• WebEngine repair dialog for ABI mismatches
• Live per-tile progress feedback

User Interface

• 3D Map tab – embedded rotatable Plotly scene
• Objects tab – sortable table with distance data
• Log tab – diagnostic output
• Help dialog – four informational tabs
• Dark-themed PyQt6 GUI

Export

• HTML – standalone interactive Plotly scene
• PNG – static export at the current camera angle via Plotly / kaleido
• CSV – full object table with coordinates, magnitudes, distances, and sources

Workflow

Load and plate-solve an image in Siril → launch the script from Processing → Scripts → select object types → configure magnitude limits, scaling mode, and view range → click Render 3D Map (or F5) → drag to rotate, scroll to zoom, hover for details → export as HTML, PNG, or CSV.

Dependencies

numpy, PyQt6, matplotlib, astropy, astroquery, plotly, kaleido; optional: PyQt6-WebEngine (in-app repair if missing)