I2C@2024：2024年干涉成像竞赛
I2C@2024: an interferometric imaging contest in 2024
- Laboratoire Lagrange, UniCA, CNRS, OCA（拉格朗日实验室，尼斯蔚蓝海岸大学，法国国家科学研究中心，尼斯天文台）
- European Southern Observatory（欧洲南方天文台）
- Department of Physics, New Mexico Institute of Mining and Technology（新墨西哥矿业与技术学院物理系）
- Univ Lyon 1, ENS de Lyon, CNRS, Centre de Recherche Astrophysique de Lyon（里昂第一大学，里昂高等师范学校，法国国家科学研究中心，里昂天体物理研究中心）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文介绍2024年干涉成像竞赛（I2C@2024），延续2004年传统，通过模拟数据集盲重建目标亮度分布，比较长基线干涉测量图像重建算法，并发布工具与示例数据以促进后续测试。
AI中文摘要：
光学长基线干涉测量中的图像近年来因学界发明的新技术和新方法而得到推动。这些图像越来越多地用于科学解释而不仅仅是展示，其保真度也显著提高，这主要得益于干涉仪所用望远镜数量的增加。当前的重点是提高图像的可靠性和动态范围。通过本次竞赛，我们延续了2004年发起的对长基线干涉测量最先进图像重建软件进行比较的探索。竞赛以成像比赛这一有趣的形式进行，组织者提供模拟的目标数据集，参赛者需使用各种算法盲重建目标的亮度分布。竞赛为获胜者提供奖品。今年与往年并无不同，我们为参赛者提供了将重建图像与原始图像进行比较的工具。这些工具现已连同示例数据集和图像一起发布，使任何图像重建工具都能在本地进行进一步测试。
英文摘要：
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.
