Poster details

Recognition of hot pixels on CCDs in the eROSITA Near Real Time Analysis

Presenter: Christoph Grossberger

With the eROSITA Near Real Time Analysis (NRTA) we present a versatile software framework which easily permits sanity checks, first quick-look analysis and automated archiving of mission data. We give a short overview of the general working principle of the NRTA and show examples of a conceivable tool chain which can be used for data processing with special emphasis on the software responsible for the detection of defective pixels on charge-coupled devices (CCDs). We demonstrate the capabilities of the detection software (such as differentiation between bright pixels and bright lines as well as recognition of flickering pixels) and discuss the algorithm which is based on statistical analysis of raw event data. Afterwards we show the results of hot pixel search tests with data taken by XMM-Newton. The performance of the detection software suggests that it is capable of securely detecting hot pixels with a mean signal of  2:5 above background level.

M. Wille
C. Großberger
C. Schmid
H. Brunner
J.Wilms
I. Kreykenbohm
J. Hölzl

Back to listing
We disclaim any and all responsibility or liability for the content of this website. Use latest version of your browser to avoid rendering issues.