tiptop_ipy

A Python wrapper for the TIPTOP adaptive optics PSF simulation service — designed for IPython and Jupyter workflows.

tiptop_ipy lets you configure AO system parameters, send them to the TIPTOP server, and work with the resulting PSFs, all from a notebook or script.

from tiptop_ipy import TipTop

tt = TipTop("MICADO_SCAO")
tt["atmosphere", "Seeing"] = 0.6
result = tt.generate_psf()
result.writeto("my_psf.fits", overwrite=True)
result.plot()

Contents

• Installation
  • Requirements
  • Install from GitHub
  • Install for development
  • Verify the installation
• Quick Start
  • 1. Create a TipTop object
  • 2. Inspect the configuration
  • 3. Modify parameters
  • 4. Validate the configuration
  • 5. Run the simulation
  • 6. Work with the result
  • 7. Save and reload configs
• User Guide
  • Configuration structure
  • Tuple indexing
  • SCAO vs MCAO systems
  • Multi-wavelength PSFs
  • Multi-position PSFs
  • Plotting
  • Reproducibility with diff()
  • Keeping templates up to date
• Instrument Templates
  • Listing available instruments
  • Available templates
  • Configuration summary
  • Usage
• API Reference
  • TipTop
  • TipTopResult
  • INI Parser
  • Validation
  • Server Configuration
  • Utilities

Development

• Changelog