EvoX Genesis
EvoX Genesis turns a high-level software objective into a persistent recursive software world: finite-lived agents recursively develop software, while only accepted consequences persist across develop
Modeling stellar photometry with "brute force" methods
Translation pending
Developer toolsJupyter Notebook · PythonGitHub @joshspeagleOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
Loading the full README.
Read the full README ↗Et tu, Brute?
brutus infers the distances, extinctions and properties of stars from their photometry and parallaxes. It evaluates every model in a grid of stellar models instead of running Markov chain Monte Carlo. It fits individual stars, star clusters and 3D dust along a line of sight.
pip install astro-brutus
The documentation at brutus.readthedocs.io has the installation steps and model data, a quickstart, the method, tutorials and the API reference.
If you use brutus, please cite Speagle et al. (2025). brutus uses the MIST stellar models and the Bayestar dust maps.
MIT. See LICENSE. Report problems at GitHub Issues.