I2C@2024: an interferometric imaging contest in 2024
Abstract
Images in optical long-baseline interferometry have seen a boost in the recent years thanks to new techniques and recipes invented by the community. These images are more and more used for science interpretation and not only illustration, and their fidelity has improved significantly, thanks mainly to the increase in the number of telescopes used in interferometers. The focus today is to improve their reliability and dynamic range. With this contest, we follow up the quest introduced in 2004 of comparing the state of the art image reconstruction software for long-baseline interferometry. This is done in a festive way in the form of an imaging contest, where the organizers propose simulated datasets of targets, whose brightness distributions are meant to be blindly retrieved using various algorithms by the contestants. A prize is offered to the winner of the contest. This year is not different from previous ones and we proposed to the contestants tools to compare their reconstructed images with original images. These tools are now distributed, together with example datasets and images, enabling further tests at home of any image reconstruction tool.
Related
- SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging
- Interferometric Survey of Stellar Parameters: Limb darkening study with the Pipeline for Interferometric Measurements of Stars
- IViS: Interferometric Visibility-domain inversion Software. A GPU-accelerated Python framework for joint deconvolution with ASKAP
- Interferometric Survey of Stellar Parameters: Limb darkening study with the "Pipeline for Interferometric Measurements of Stars
- Radio Interferometric Calibration with the Exponential Map
BibTeX
@misc{millour2026i2c2024,
title = {{I2C@2024: an interferometric imaging contest in 2024}},
author = {Florentin Millour and Mathis Houllé and Jeremy Perdigon and Julien Drevon and Ryan Norris and Rebecca Proni and Alexis Matter and Ferreol Soulez and Eric Thiebaut},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.35064},
eprint = {2609.35064},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.35064},
}
RIS
TY - UNPB
TI - I2C@2024: an interferometric imaging contest in 2024
AU - Florentin Millour
AU - Mathis Houll{é}
AU - Jeremy Perdigon
AU - Julien Drevon
AU - Ryan Norris
AU - Rebecca Proni
AU - Alexis Matter
AU - Ferreol Soulez
AU - Eric Thiebaut
PY - 2026
DA - 2026/09/28
PB - arXiv
DO - 10.48550/arxiv.2609.35064
UR - https://arxiv.org/abs/2609.35064
AB - Images in optical long-baseline interferometry have seen a boost in the recent years thanks to new techniques and recipes invented by the community. These images are more and more used for science interpretation and not only illustration, and their fidelity has improved significantly, thanks mainly to the increase in the number of telescopes used in interferometers. The focus today is to improve their reliability and dynamic range. With this contest, we follow up the quest introduced in 2004 of comparing the state of the art image reconstruction software for long-baseline interferometry. This is done in a festive way in the form of an imaging contest, where the organizers propose simulated datasets of targets, whose brightness distributions are meant to be blindly retrieved using various algorithms by the contestants. A prize is offered to the winner of the contest. This year is not different from previous ones and we proposed to the contestants tools to compare their reconstructed images with original images. These tools are now distributed, together with example datasets and images, enabling further tests at home of any image reconstruction tool.
ER -