| |
| META TOPICPARENT |
name="WebHome" |
This page has been set up so that we all know what tools are being developed across the collaboration. If you are developing a tool which you think may be relevant to the entire collaboration, please let us know here.
Image processing
- Optimal and efficient streak detection in astronomical images (Python and matlab). Author: Eran Ofek. Status: beta available.
|
|
<
< |
- Astrometry of astronomical images - a robust code for astrometry with a very low failure rate <1/25,000 (all over the sky, including low galactic lat). Typical precision for ZTF (25 mas) and PTF (15 mas) - matlab. Author: Eran Ofek. Status: beta available
|
>
> |
- Astrometry of astronomical images - a robust code for astrometry with a very low failure rate <1/25,000 (all over the sky, including low galactic lat). Typical precision for ZTF (25 mas) and PTF (15 mas) - matlab. Author: Eran Ofek. Status: beta available
|
| |
- Optimal image subtraction for moving sources (traslients) - matlab and python. Author: Eran Ofek. Status: Not available yet.
- Source extraction and PSF photometry (with correct thresholding; i.e., correcting a sextractor bug; + improve sky subtraction). matlab. Author: Eran Ofek. Status: beta version available.
- Full image reduction (all steps+masking+artifacts identification). matlab only. Author: Eran Ofek. Status: beta version.
|
| | |
|
>
> | Force Photometry
- ztflc. A very simple tool based on ztfquery. It downloads difference images and assocaited PSF cutouts to run force photometry (fit the amplitude basically) (https://github.com/MickaelRigault/ztflc
 ). Target coordinates could be manually set or, by default comes from the marshal. Author: Mickael Rigault.
|
| | Photometric redshift estimation
- Trained neural network/BDT (ANNZ2) to estimate photometric redshifts of galaxies based on the panstarrs catalogue Author: Ludwig Rauch
|
Copyright © 2008-2024 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.