PASSATA object oriented Adaptive Optics simulator for IDL

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How to get the library

PASSATA is on GitHub: github.com/ArcetriAdaptiveOptics/PASSATA, but it is a private repo.
github.com/ArcetriAdaptiveOptics/IdlTools is also required to use the library (another private repo).
The dll (github.com/ArcetriAdaptiveOptics/IdlTools/tree/main/GPU) must be compiled and installed on the workstation to get GPU acceleration.
Additionally, the following libraries are required to run the code:

• astrolib
• coyote

Help

Introduction to PASSATA: PASSATA_introduction

Basic help: Help_on_a_few_PASSATA_features

PASSATA and MCAO (Algorithms description): PASSATA_MCAO_rec_and_contr

Other help material

Some introductive slides to the library: PassataIntro.pptx
Wiki pages:

• A brief introduction to the library GeneralHelpPublic
• Factory (how to build objects) FactoryObjectPublic
• Calibration Manager (how to read/write calibration data) CalibManagerPublic
• Base objects BaseObjectPublic
• Exixting SCAO classes to calibrate and run simulations ScaoClassesPublic
• Example of main file main_cloop.pro

PASSATA and the current AO systems

PASSATA is mainly used to assess performance and sensitivity to parameters variations during the design phase of SOUL, ERIS, MAORY, MAVIS and HiRES AO systems.

Reference

The reference publication for this software is:

POSTER: PassataPosterSpie2016.pdf

-- GuidoAgapito - 21 Aug 2018