Probing the Mysteries of Saturn’s E-Ring with PostgreSQL
summary
Loads Cassini instrument CSVs into PostgreSQL using schemaed raw imports and the COPY command, orchestrated by Make for idempotent ETL; constructs a flybys table for the 22 scientific encounters and reconciles conflicting schedule rows. IMS files sample every 30 ms, lowest approach computes to ~28 km, and velocity is derived from XYZ via a Pythagorean velocity function in SQL. Querying mass‑per‑charge and lookup peaks finds H2, CO2, CH4 and H2O in plume windows (34° cone), and a proposed SELFI payload is outlined with brief ethics notes.
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chapters (12)
- 0:00Saturn’s E-Ring and Enceladus
- 7:44Cassini mission data
- 10:54Loading data into PostgreSQL
- 15:50Data anomalies and biases
- 20:04Flyby timestamps
- 24:21Cassini instrument data
- 28:38Flyby speed calculations
- 32:11Vector-based velocity
- 36:03Chemical data windows
- 39:57Life signatures in plumes
- 44:32Findings and future missions
- 48:00Answering audience questions
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