Implementation and Testing of Automatic Analyzes
for the Calibration of the ATLAS Pixel Detector
Project Description
The ATLAS Pixel detector
is the central device for the reconstruction of tracks from charged
particles as well as the interaction and decay vertices.
Its successful operation requires the calibration of
a huge number of internal parameters.
Since they are susceptible to changing environmental and beam conditions
dedicated scans over internal parameters have to be performed
regularly to find there optimal values.
In order to be able to analyze the results of the different scans for all modules
of the pixel detector in parallel
a calibration analysis framework was created which allows the integration
of new analysis in the form of plug-ins.
For the implementation of an analysis its results have to be evaluated
by running scans on the pixel detector hardware.
Tasks
Dead Pixel Map Analysis
The calibration analysis framework has recently been extended to allow for the implementation of
meta-analyzes which take the results form the standard scan analyzes as input.
The dead pixel map analysis should
combine results from the Threshold, Analog, Digital, Bond, TOT and Cross-talk analyzes
to extract a complete description of possible misbehavior for all pixels.
This project thus allows to get familiar with a large part of the pixel calibration software.
The consistency of results from the different scans has to be checked.
In addition, the implementation of pixel masks for calibration and data taking should be evaluated.
This project requires a collaboration with the offline group who will use the
dead pixel maps for further analysis.
What you will learn
Functioning of a pixel detector;
Development of on-line software;
Analysis techniques and tools and
running scans on the ATLAS pixel hardware.
Required Knowledge
No prior hardware or software knowledge is required.
Programming experience (especially in C++) would be advantageous.
Contacts
Claus Horn
Last modified: Mon May 5 18:51:26 PDT 2008