论文标题
Euclid近红外光谱仪：H2RG检测器插图电容和IPC的空间注意事项从地面表征校正了转换增益
Euclid Near Infrared Spectro-Photometer: spatial considerations on H2RG detectors interpixel capacitance and IPC corrected conversion gain from on-ground characterization
论文作者
论文摘要
Euclid是计划于2023 - 2024年发布的主要ESA任务，使用两个主要的探针，弱引力透镜和星系簇来绘制黑暗宇宙的几何形状。 Euclid的仪器，可见的成像仪（VIS）和红外光谱仪和光度计（NISP）均由Euclid Consortium Teams设计和建造。 NISP仪器将拥有16个近红外H2RG检测器的大型焦平面阵列，这是NISP性能的关键要素，因此是任务的科学归还。 欧几里得NISP H2RG飞行探测器在整整一年中在Physique des des des des des des des des des des des temique tectors中进行了整体表征，以期生成性能像素地图的参考数据库。分析一直在进行，并显示了考虑到得出性能参数的空间变化的相关性。本文将集中于插花电容（IPC）和转换增益。首先，每个像素IPC系数映射将得益于单像素重置（SPR）测量值，并将定义和验证新的IPC校正方法。然后，本文将研究IPC的相关效果及其对每个超级像素无IPC的转换增益图的影响。最终，将在明显的可区分区域上定义几个转换增益值。
Euclid is a major ESA mission scheduled for launch in 2023-2024 to map the geometry of the dark Universe using two primary probes, weak gravitational lensing and galaxy clustering. \Euclid's instruments, a visible imager (VIS) and an infrared spectrometer and photometer (NISP) have both been designed and built by Euclid Consortium teams. The NISP instrument will hold a large focal plane array of 16 near-infrared H2RG detectors, which are key elements to the performance of the NISP, and therefore to the science return of the mission. Euclid NISP H2RG flight detectors have been individually and thoroughly characterized at Centre de Physique des Particules de Marseille (CPPM) during a whole year with a view to producing a reference database of performance pixel maps. Analyses have been ongoing and have shown the relevance of taking into account spatial variations in deriving performance parameters. This paper will concentrate on interpixel capacitance (IPC) and conversion gain. First, per pixel IPC coefficient maps will be derived thanks to single pixel reset (SPR) measurements and a new IPC correction method will be defined and validated. Then, the paper will look into correlation effects of IPC and their impact on the derivation of per super-pixel IPC-free conversion gain maps. Eventually, several conversion gain values will be defined over clearly distinguishable regions.
