首页> 外文会议>Astronomical Data Analysis Software and Systems Conference >Data Structures and Algorithms for Pixel History for the Advanced Camera for Surveys Wide Field Channel
【24h】

Data Structures and Algorithms for Pixel History for the Advanced Camera for Surveys Wide Field Channel

机译:用于调查宽场通道的高级相机的像素历史的数据结构和算法

获取原文
获取外文期刊封面目录资料

摘要

A recent characterization of excess thermal electron leakage into in the the Hubble Space Telescope's (HST) Advanced Camera for Surveys (ACS) Wide Field Channel (WFC) has yielded interesting results about the stability of individual pixels throughout the detector (Borncamp et al. 2017). To perform this characterization of a large dataset in an efficient way, a new method to structure the data was conceived which led to a better process to write analysis algorithms. Here we present the method the data is structured that allowed us to efficiently store, read in, and analyze the data by creating what we call a 'Master Column Image' that allowed us to create efficient algorithms that utilize this structure which characterizes 16 years of observations of 16 million pixels in a matter of hours with a modest amount of processing power.
机译:最近对哈勃空间望远镜(HST)的调查(ACS)宽场通道(WFC)的高温电子泄漏到漏风中的高级相机的表征已经产生了关于整个探测器整个像素的稳定性的有趣结果(Borncamp等,2017 )。 为了以有效的方式执行大型数据集的这一表征,构思了一种新的结构方法,该方法是更好地写入分析算法的过程。 在这里,我们介绍了数据的结构,使我们能够通过创建我们称之为“主列映像”的信息来有效地存储,读取和分析数据,使我们能够创建利用该结构的有效算法,这些结构是16年的结构 几小时内的观察为1600万像素,具有适度的加工能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号