Simulation of AO residuals through phase PSD budget
Project description
AOPERA
Adaptive Optics Psf Estimation and Residuals Analysis
Description
This package runs fast computation of adaptive optics (SCAO) residuals. It provides the following outputs:
- PSD of the electromagnetic phase (in rad2.m2) for each AO error term,
- AO error budget (integral of the PSD),
- long exposure PSF at any wavelengths,
- short exposure PSF at any wavelengths,
- fiber coupling efficiency.
AOPERA is particularly designed to manage Fourier Filtering wavefront sensors, such as the pyramid (but any FF-WFS can be implemented), in single conjugated AO (SCAO) mode. The code deals with the sensitivity of FF-WFS and manages non-linearities through the convolutive formalism (Fauvarque PhD thesis).
AOPERA is compatible with TIPTOP ini files in SCAO mode.
GIT repository
https://gitlab.lam.fr/lam-grd-public/aopera
Installation procedure, documentation and tests
https://gitlab.lam.fr/lam-grd-public/aopera/-/wikis/home
References
Fetick, Chambouleyron, Heritier, 2023, AO4ELT-7 proceedings
Authors
Romain Fétick, Vincent Chambouleyron, Arnaud Striffling
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aopera-0.2.0.tar.gz.
File metadata
- Download URL: aopera-0.2.0.tar.gz
- Upload date:
- Size: 60.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
22849de0182eed5569e36b9670733f468a3f8695cbf45e947279d58eb3311cfe
|
|
| MD5 |
c066f75162a2e3d342bf3d9def327830
|
|
| BLAKE2b-256 |
189baeb24b6e11086c972c1439db77fa665ab73f559ed609f17f9ed62fdcfc56
|
File details
Details for the file aopera-0.2.0-py3-none-any.whl.
File metadata
- Download URL: aopera-0.2.0-py3-none-any.whl
- Upload date:
- Size: 66.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d993f569ca0e7015d1934e7100a79185f66e6eed1dc448b2b215ab32ea0aa2c1
|
|
| MD5 |
e4112881d819a2092f99a80dc5951b6b
|
|
| BLAKE2b-256 |
def140b1f509e7efb66061673ba07f04885840f519f1aeb0b75b9383a6604350
|
