We compare the default approach for wavefront estimation: using individual donut pairs and averaging their final Zk estimate (pairing) to aggregating the donut stamps prior to wavefront fitting, and using their combined information to obtain a single set of Zernike polynomials per stacked donut image (stacking).
Links:
- Publication URL: https://sitcomtn-139.lsst.io
- Alternative editions: https://sitcomtn-139.lsst.io/v
- GitHub repository: https://github.com/lsst-sitcom/sitcomtn-139
- Build system: https://github.com/lsst-sitcom/sitcomtn-139/actions/
You can clone this repository and build the technote locally if your system has Python 3.11 or later:
git clone https://github.com/lsst-sitcom/sitcomtn-139
cd sitcomtn-139
make init
make html
Repeat the make html
command to rebuild the technote after making changes.
If you need to delete any intermediate files for a clean build, run make clean
.
The built technote is located at _build/html/index.html
.
This technote is published to https://sitcomtn-139.lsst.io whenever you push changes to the main
branch on GitHub.
When you push changes to a another branch, a preview of the technote is published to https://sitcomtn-139.lsst.io/v.
The main content of this technote is in index.rst
(a reStructuredText file).
Metadata and configuration is in the technote.toml
file.
For guidance on creating content and information about specifying metadata and configuration, see the Documenteer documentation: https://documenteer.lsst.io/technotes.