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Yuan Fangting
csst-l1doc
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2fa24b52
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2fa24b52
authored
Mar 07, 2023
by
Wang Xia
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Update algorithm.rst
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@@ -84,16 +84,29 @@ class: csst_ms_sls_instrument.steps.BiasCorrStep
reference file:Superbias
Bias correction通过减去superbias的操作,去除掉原始科学数据中的探测器本底。Superbias的文件格式与
output
一致,为包含三个扩展的fits。该步会对superbias的误差和DQ进行传递。
Bias correction通过减去superbias的操作,去除掉原始科学数据中的探测器本底。Superbias的文件格式与
输出文件
一致,为包含三个扩展的fits。该步会对superbias的误差和DQ进行传递。
**To electrons**
class: csst_ms_sls_instrument.steps.ToElectronsStep
reference file: Gain map
数据乘以增益,SCI数据单元和ERR数据单元的单位由ADU转换为电子。
**Uncertainty Initialization**
class: csst_ms_sls_instrument.steps.UncertaintyInitStep
reference file: readnoise file
ERR数据单元构造误差数据,该步误差公式:
.. math::
\sigma = \sqrt{((SCI-bias)+\sigmabias^2 + readnoise^2)}
**Dark correction**
class: csst_ms_sls_instrument.steps.DarkCorrStep
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