论文标题
夏威夷2RG探测器的不良像素的分类天文近红外摄像机的分类
Classification of bad pixels of the Hawaii-2RG detector of the ASTROnomical NearInfraRed CAMera
论文作者
论文摘要
Astronircam是一款位于CMO SAI的2.5米望远镜上安装的红外摄像头光谱仪。该仪器配备了夏威夷2RG阵列。提出了Astronircam检测器的不良像素分类。该分类基于平坦场连续非破坏性读数差的直方图。不良像素分为5组：热（第一次读数时饱和），温暖（信号累积速率高于平均值超过5个标准偏差），冷（速率在平均值以下，超过5个标准偏差），死亡（无信号堆积），并且倒数（第一次读数中有负信号累积）。 Astronircam检测器的正常像素占总数的99.6％。我们研究了不良像素的量与仪器的冷却周期数量之间的依赖性。尽管热像素保持不变，但其他类型的不良像素可能会在组之间迁移。每组中的像素数量大致保持恒定。我们发现，每组不良像素量的平均值和方差，并且组之间的过渡在正常或缓慢的冷却之间没有明显差异。
ASTRONIRCAM is an infrared camera-spectrograph installed at the 2.5-meter telescope of the CMO SAI. The instrument is equipped with the HAWAII-2RG array. A bad pixels classification of the ASTRONIRCAM detector is proposed. The classification is based on histograms of the difference of consecutive non-destructive readouts of a flat field. Bad pixels are classified into 5 groups: hot (saturated on the first readout), warm (the signal accumulation rate is above the mean value by more than 5 standard deviations), cold (the rate is under the mean value by more than 5 standard deviations), dead (no signal accumulation), and inverse (having a negative signal accumulation in the first readouts). Normal pixels of the ASTRONIRCAM detector account for 99.6% of the total. We investigated the dependence between the amount of bad pixels and the number of cooldown cycles of the instrument. While hot pixels remain the same, the bad pixels of other types may migrate between groups. The number of pixels in each group stays roughly constant. We found that the mean and variance of the bad pixels amount in each group and the transitions between groups do not differ noticeably between normal or slow cooldowns.
