Bionium-X: Exoplanetary Biosignature Detection

Bionium-X is a rigorous, pure-Python scientific library for high-performance exoplanetary biosignature detection and atmospheric modeling.

It provides the foundational mathematical, statistical, and machine-learning frameworks required for analyzing high-resolution transmission and emission spectra.

Why Bionium-X?

• Rigorous Data Objects: Powerful TransmissionSpectrum and EmissionSpectrum classes that handle masking, error propagation, and physical metadata natively.

• Advanced Chemistry: Calculate complex atmospheric chemical disequilibrium scores (weighted by chemical lifetimes) to search for biological imbalances.

• Physical Limits: Evaluate heuristic habitability scores based on the Earth Similarity Index, Goldilocks Zones, and atmospheric scale heights.

• Machine Learning Integration: Seamlessly interface with deep learning architectures (like 1D CNNs) via lazy-loaded network weights using Pooch.

Getting Started

• Installation
  • Core Installation
  • Optional Dependencies
• Quickstart
  • 1. Loading a Spectrum
  • 2. Preprocessing
  • 3. Cross-Correlation Detection
  • 4. Assessing Habitability
  • 5. AI Inference (Optional)
• Core Bionium-X Functionality
  • Working with Spectra
  • Preprocessing and Filtering
  • Template Cross-Correlation
  • Astrobiological Physics
  • Statistical Inference
• Research Activity Timeline

API Reference

• API Reference
  • bioniumx.spectra
  • bioniumx.datasets
  • bioniumx.preprocessing
  • bioniumx.physics
  • bioniumx.molecules
  • bioniumx.detection
  • bioniumx.io
  • bioniumx.modeling
  • bioniumx.models
  • bioniumx.simulator
  • bioniumx.core
  • bioniumx.exceptions
  • bioniumx.utils

Indices and tables

• Index

• Module Index

• Search Page