标题： LTDE：透镜时延实验 I。 从像素到光变曲线 显示英文标题

标题： LTDE: The Lens Time Delay Experiment I. From pixels to light curves

摘要： 引力透镜化的类星体为我们研究宇宙学和河外现象提供了独特的机会，利用可靠的透镜化图像光变曲线即可实现。 这需要对类星体图像进行准确的解混，但由于透镜化图像之间的分离较小（通常为$\sim1$弧秒），并且透镜星系和类星体寄主星系存在光污染，这一过程并不简单。 我们提出了一系列实验，旨在测试我们提取透镜化类星体精确且准确测光的能力。 在本文的第一部分，我们将重点评估从模拟CCD图像中提取透镜化类星体光变曲线的能力，这些图像跨越了广泛的配置，并假设了不同的观测/仪器条件。 具体而言，实验旨在从像素到光变曲线，并评估当前测光算法的局限性。 我们的实验有多个步骤，从已知点扩散函数（PSF）的数据开始，到未知的空间可变PSF场，用户需要考虑这一点。 本文发布的是我们的模拟图像。 任何人都可以提取光变曲线并在截止日期前提交他们的结果。 这些结果将根据以下描述的指标进行评估。 我们的模拟数据集将是公开的，并且旨在成为像鲁宾-LSST这样的时域巡天，或者其他更高时间分辨率后续时域观测的基准。 它还旨在成为一个测试数据集，以帮助未来开发新的算法。 显示英文摘要

摘要： Gravitationally lensed quasars offer a unique opportunity to study cosmological and extragalactic phenomena, using reliable light curves of the lensed images. This requires accurate deblending of the quasar images, which is not trivial due to the small separation between the lensed images (typically $\sim1$ arcsec) and because there is light contamination by the lensing galaxy and the quasar host galaxy. We propose a series of experiments aimed at testing our ability to extract precise and accurate photometry of lensed quasars. In this first paper, we focus on evaluating our ability to extract light curves from simulated CCD images of lensed quasars spanning a broad range of configurations and assuming different observational/instrumental conditions. Specifically, the experiment proposes to go from pixels to light curves and to evaluate the limits of current photometric algorithms. Our experiment has several steps, from data with known point spread function (PSF), to an unknown spatially-variable PSF field that the user has to take into account. This paper is the release of our simulated images. Anyone can extract the light curves and submit their results by the deadline. These will be evaluated with the metrics described below. Our set of simulations will be public and it is meant to be a benchmark for time-domain surveys like Rubin-LSST or other follow-up time-domain observations at higher temporal cadence. It is also meant to be a test set to help develop new algorithms in the future.