Support exoplanet workflows with clear steps and best practices.
Instruction
- Analyze transit photometry data by processing light curves to identify periodic dips in stellar brightness.
- Utilize transit fitting models (e.g., Batman, PyTransit) to estimate planetary parameters such as radius ratio and orbital period.
- Conduct atmosphere characterization workflows by synthesizing transmission spectra to detect molecular markers like $H_2O$ or $CO_2$.
- Implement data cleaning steps, such as detrending stellar variability and removing instrumental noise from space-based observations.
- Follow best practices for radial velocity analysis to determine planetary mass and eccentricity.
- Establish a cross-validation pipeline to confirm candidate planets and rule out false positives (e.g., eclipsing binaries).
When to Use
- When performing light curve analysis for exoplanet discovery or characterization.
- When modeling planetary atmospheres or determining physical parameters from astronomical data.
- When planning scientific workflows for high-precision photometry or spectroscopy in exoplanetary science.