additional material for VIP
Tutorials in form of Jupyter notebooks can be found in the tutorials/ folder. They can be visualized directly here on GitHub (by just clicking on them), or using the nbviewer service.
This tutorial covers:
- how to load ADI-ready datacubes;
- how to use some of the stellar PSF subtraction algorithms implemented in VIP to produce final post-processed images.
This tutorial showcases the pre-processing routines available routines in VIP (i.e. how to prepare a datacube before PSF modeling and subtraction). More specifically, the tutorial shows how to carry out the following tasks:
- recentering of a NACO L' coronagraphic dataset and trimming bad frames out;
- correcting bad pixels and recentering a SPHERE/IFS coronagraphic dataset;
- performing a "full pre-processing" of a non-coronagraphic SINFONI dataset.
This tutorial covers:
- how to load ADI-ready datacubes;
- how to use the stellar PSF subtraction algorithms implemented in VIP to produce final post-processed images (more details and higher completeness than the quick-start tutorial).
This tutorial covers:
- how to load ADI-ready datacubes;
- how to use the stellar PSF subtraction algorithms implemented in VIP to produce final post-processed images (more details and higher completeness than the quick-start tutorial).
This tutorial covers:
- how to compute the S/N ratio of a given companion candidate;
- how to calculate the significance of a detection;
- how to compute S/N ratio maps and STIM maps;
- how to use the automatic point-source detection function;
- how to compute throughput and contrast curves.
This tutorial covers:
- how to generate and inject fake companions in a cube;
- how to estimate the astrometry and photometry of a directly imaged companion, and associated uncertainties.
This tutorial covers:
- how to generate different models of synthetic (debris) disks;
- how to inject model disks in ADI cubes, for forward modeling.
This tutorial covers:
- how to load ADI and reference datacubes;
- how to use the stellar PSF subtraction algorithms implemented in VIP to produce final post-processed images of disks or leveraging the RDI strategy.
This tutorial covers:
- how to inject a planet spectrum in a 4D (IFS+ADI) datacube;
- how to post-process 4D (IFS+ADI) datacubes;
- how to retrieve the parameters of a planet present in a 4D (IFS+ADI) datacube (astro- and spectrometry).
This tutorial shows a quantitative comparison between FFT-based and interpolation-based methods for:
- image rotations;
- image scaling;
- sub-px shifts.
This tutorial gives an overview of the new object oriented way of using VIP.
The datasets in the datasets/ folder are available in FITS format, with the fully pre-processed (ADI-ready) datasets also available in VIP's own Dataset format (as .npz).
Small ADI cube with 39 frames. naco_betapic.npz contains just the "raw" data (cube, psf, angles, px_scale), while naco_betapic_preproc.npz is slightly preprocessed (cropped, psf normalized).
ADI+IFS (4D) cube, ideal to test both ADI and SDI functionalities. The cube, psf images, derotation angles and wavelength vector are provided.
ADI+IFS (4D) center cube, ideal to test recentering of SPHERE/IFS data. The center cube, psf images, and wavelength vector are provided.
IFS (3D) cube, ideal to test preprocessing and SDI functionalities. The cube and wavelength vector are provided.