opticalib 1.1.0

This package is a python interface for laboratory adaptive optics systems, with a focus on the calibration of deformable mirrors (DMs) and the acquisition of wavefront data using interferometers.

OptiCalib : adaptive OPTics package for deformable mirrors CALibration

Adaptive Optics Group, INAF - Osservatorio Astrofisico di Arcetri

• Pietro Ferraiuolo

• Marco Xompero

OptiCalib is a python package which first goal is to make easy deformable mirror's calibration in the laboratory (and not only).

It was born as a general extrapolation of the software built for the control and calibration of the ELT @ M4 adaptive mirror and it's calibration tower, OTT (Optical Test Tower).

Description

The OPTICALIB package serves two main purposes:

• Making connection to the hardware (interferometers, DMs, ...) easy;

• Providing routines for Deformable Mirrors calibrations.

The latests, stable, version can be installed from pypi:

pip install opticalib

The in-development version can be installed directly from this repository:

pip install git+"https://github.com/pietroferraiuolo/labott.git"

but do expect some bugs!

Upon installation, the software will create an entry point script called calpy, which is usefull to set up a specific experiment's environment. Let's say we have an optical bench composed of an interferometer 4D PhaseCam6110 and an Alpao Deformable mirror, say DM820. We can create the experiment's environment just like:

calpy -f ~/alpao_experiment --create

This will create, in the ~/alpao_experiment folder, the package's data folder tree, together with a configuration file in the SysConfig folder. The configuration file, documented here, is where all devices must be specified.

Once done with the configuration, we can then start using out instruments:

calpy -f ~/alpao_experiment

# The `calpy` function will automatically import opticalib (with `opt` as alias), as well as the `opticalib.dmutils` as dmutils

interf = opt.PhaseCam(6110) # set in the configuration file
dm = opt.AlpaoDm(820)       # set in the configuration file

# Having the bench set up and the configuration file set, we can acquire an Influence Function by just doing

tn = dmutils.iff_module.iffDataAcquisition(dm, interf) # Optional paramenters are `modesList, modesAmplitude, template`, which if not specified are read from the configuration file

Documentation

For the API references, check here (work in progress...), while for the configuration file documentation check here