tiptop-ipy 0.2.0

A Python wrapper for the ESO TIPTOP adaptive optics PSF simulation microservice

TIPTOP-iPy

A Python wrapper for the ESO TIPTOP adaptive optics PSF simulation microservice.

$ pip install git+https://github.com/astronomyk/tiptop_ipy.git

Basic Usage

List the available instrument templates:

>>> from tiptop_ipy import TipTop

>>> TipTop.list_instruments()
['ANDES', 'ERIS', 'ERIS_LGS', 'HARMONI_SCAO', 'HarmoniLTAO_1', ...]

Create a TipTop object and generate a PSF:

>>> eris = TipTop("ERIS")
>>> result = eris.generate_psf()
>>> result.writeto("eris.fits", overwrite=True)

The result object provides convenient access to the PSF data:

>>> result.psf.shape
(1, 256, 256)

>>> result.strehl
array([0.891])

>>> result.fwhm
array([44.1])

Playing with parameters

Parameters are accessed using tuple indexing on the TipTop object:

>>> eris["atmosphere"]
{'Cn2Weights': [0.59, 0.02, ...], 'Cn2Heights': [30, 140, ...], 'Seeing': 0.8, ...}

>>> eris["atmosphere", "Seeing"]
0.8

Values can be updated using the same syntax. For example, we can ask TIPTOP to generate two PSFs (on-axis, 10" off-axis):

>>> eris["sources_science", "Zenith"] = [0, 10]
>>> eris["sources_science", "Azimuth"] = [0, 180]
>>> result = eris.generate_psf()

>>> result.plot()

To see what you've changed from the template defaults:

>>> eris.diff()
{'sources_science': {'Zenith': ([0], [0, 10]), 'Azimuth': ([0], [0, 180])}}

To reset back to the original template:

>>> eris.reset()

PSF FITS file format

The TIPTOP server returns a FITS file with 5 HDUs:

>>> eris = TipTop("ERIS")
>>> result = eris.generate_psf()
>>> result
TipTopResult(1 wavelength(s), 1 position(s), 5 HDUs, Strehl=0.891)

HDU 0: PrimaryHDU — header with config parameters and timing
HDU 1: ImageHDU   — PSF CUBE (N, FOV, FOV)
HDU 2: ImageHDU   — OPEN-LOOP PSF (FOV, FOV)
HDU 3: ImageHDU   — DIFFRACTION LIMITED PSF (FOV, FOV)
HDU 4: ImageHDU   — Radial profiles

Strehl ratios, FWHM values, and coordinates are read from the PSF CUBE header cards.

Documentation

Full documentation is available at tiptop-ipy.readthedocs.io.

For details on the TIPTOP configuration parameters, see the TIPTOP documentation.

For bug reports and feature requests, please use the GitHub issues page.