光辉
遥感
校准
黑体辐射
像素
环境科学
计量学
红外线的
光学
热的
亚像素渲染
消光(光学矿物学)
计算机科学
物理
气象学
地理
辐射
量子力学
作者
Kélian Sommer,B. Plez,J. Cohen-Tanugi,S. Dagoret-Campagne,M. Moniez,J. Neveu,M. Betoule,S. Bongard,F. Feinstein,L. Le Guillou,Claire Juramy,Eduardo Sepulveda,Thierry Souverin
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2024-07-11
卷期号:24 (14): 4498-4498
摘要
The StarDICE experiment strives to establish an instrumental metrology chain with a targeted accuracy of 1 mmag in griz bandpasses to meet the calibration requirements of next-generation cosmological surveys. Atmospheric transmission is a significant source of systematic uncertainty. We propose a solution relying on an uncooled infrared thermal camera to evaluate gray extinction variations. However, achieving accurate measurements with thermal imaging systems necessitates prior calibration due to temperature-induced effects, compromising their spatial and temporal precision. Moreover, these systems cannot provide scene radiance in physical units by default. This study introduces a new calibration process utilizing a tailored forward modeling approach. The method incorporates sensor, housing, flat-field support, and ambient temperatures, along with raw digital response, as input data. Experimental measurements were conducted inside a climatic chamber, with a FLIR Tau2 camera imaging a thermoregulated blackbody source. The results demonstrate the calibration effectiveness, achieving precise radiance measurements with a temporal pixel dispersion of 0.09 W m−2 sr−1 and residual spatial noise of 0.03 W m−2 sr−1. We emphasize that the accuracy of scene radiance retrieval can be systematically affected by the camera’s close thermal environment, especially when the ambient temperature exceeds that of the scene.
科研通智能强力驱动
Strongly Powered by AbleSci AI