Solar Houses and Life Domains #

1. The Pivot: Why Solar Houses? #

Traditional astrological research into "Houses" (Life Domains) is plagued by two problems:

1. Data Scarcity: Accurate houses require birth times precise to the minute (AA rating). Most historical data is not this accurate.
2. System Ambiguity: There are 20+ house systems (Placidus, Koch, Whole Sign, Equal, etc.), and astrologers disagree on which to use.

The Solution: This project uses Solar Houses.

• We set the Sun as the anchor (0°).
• We measure all other planets relative to the Sun.
• This creates a "Life Domain" map that is independent of birth time and geographically stable.

2. Research Question #

Does the distribution of planets relative to the Sun (Solar Houses) predict an individual's career path or life focus?

3. Methodology #

1. Ingest birth data for ~80 celebrities across 5 categories (Science, Arts, Politics, Entertainment, Sports).
2. Calculate the phase angle variance between each planet and the Sun.
3. Assign to a Solar House (0-30° = 1st, 30-60° = 2nd, etc.).
4. Aggregate distributions and analyze for peaks.

4. Key Files #

• analysis.py: Main script. Calculates Solar House positions and generates heatmaps.
• data_source.py: Contains the biographical data (migrated from Project 23).
• RESULTS.md: Detailed analysis of the findings (e.g., Politicians peaking in the 1st Solar House).
• solar_house_heatmap.png: Visualization of the results.

5. How to Run #

python analysis.py

This will generate the CSVs and PNGs in the project folder.

Data Provenance #

House Statistics #

• Source: Synthetic Distribution.
• Method: Uniform spatial distribution of events mapped to house systems.