My name is Sandrine Juillard, and I am currently pursuing my PhD at the University of Liège - in The Planetary & Stellar system Imaging Laboratory (PSILab) - under the supervision of Valentin Christiaens and Olivier Absil.
I am conducting research in the field of signal processing applied to high-contrast imaging. GreeDS, which is fast, simple, and requires PyTorch. See the instructions below or in the "code" section.
Currently, in my final year, I started a new project in collaboration with Yannis Argyriou and Danny Gasman (KU Leuven, Belgium), focused on PSF-subtraction for the JWST/MIRI-MRS instrument.
As I approach the completion of my Ph.D. in September 2025, I am actively seeking to pursue a career in space science.
Download IPCA via PyPI:
Exemple usage
A Spiral Arm in the outer disk of PDS 70 ?
Import package and load data
from GreeDS import GreeDS
from vip_hci.fits import open_fits
cube = open_fits( "your_cube.fits")
angles = open_fits( "your_PA_angles.fits")
ref = open_fits( "your_refs.fits")
Use IPCAr = 10 # Iteration over PCA-rank l = 10 # Iteration per rank r_start = 1 # PCA-rank to start iteration (good for faint signals) pup_size = 3 # Radius of numerical mask to hide coro res = GreeDS(cube, angles, r=r, l=l, r_start=r_start, pup_size=pup_size)