Tried a few new, open, local AI models by giving them the CSV file and asking them to write a simple python script:
1. Parse all rows and build statistical distribution of mass, radius etc.
2. Use those distributions to generate fictional exoplanets.
Playing with this for a space game idea where star systems are populated with fictional exoplanets, but all their params are from the real statistical distributions of all known exoplanets.
A way to get some harder sci-fi using real world data :)
throw0101a•49m ago
Any collisions that Earth has to worry about?
(Once heard the observation that the dinosaurs didn't go extinct because of an impact: they went extinct because they didn't have a space program.)
akoumjian•13m ago
None yet. Any discoveries made with a possible impact risk would end up on the NEO Confirmation Page for follow up. As soon as an observation arc is long enough and gets a provisional designation, impact risks would be calculated and displayed at both NEOCC and JPL Sentry. We also do impact probability calculations and visualizations at Asteroid Institute.
NooneAtAll3•40m ago
> The dataset also includes roughly 380 trans-Neptunian objects (TNOs), two of which have extremely large, elongated orbits (provisionally named 2025 LS2 and 2025 MX348)
Orbit uncertainty 7 and 9, aka almost- and totally-useless
vibe42•1h ago
https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/np...
Download Table -> All Columns, All Rows.
Tried a few new, open, local AI models by giving them the CSV file and asking them to write a simple python script:
1. Parse all rows and build statistical distribution of mass, radius etc.
2. Use those distributions to generate fictional exoplanets.
Playing with this for a space game idea where star systems are populated with fictional exoplanets, but all their params are from the real statistical distributions of all known exoplanets.
A way to get some harder sci-fi using real world data :)