Revision 14 as of 2012-01-30 13:22:05

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Christoph Bartels

Email: <christoph.bartels@desy.de>

This page is not finished yet, and heavy editing has to be done!!

Documentation of my PhD analyses

A full documentation of the results can be read in my thesis The full source code of both analyses can be found on DESY dCache at:

/whatever/

Model independent WIMP search

Analysis Walkthrough

The WIMP search is designed as model independent as possible. This entails two important decisions:

Data Samples

The data samples used were produced by the ILD community for the detector optimisation effort in 2008. The fully reconstructed data files can be found in the International Linear Collider Simulations Database.

Post-reconstruction data processing

Two corrections have been performed on the simulated data samples. Both corrections are linked to the photons being uncharged. While for charged particles tracking information is used in the clustering stage to match particle momentum and energy depositions, without this information, the clustering is purely topological. This results in split em Clusters from single incident photons, each subcluster being identified as an individual photon candidate, and energy lost in the insensitive material of the cracks in the calorimeters.

Photon splitting

The photon splitting is recovered by an iterative merging of photon candidates with a cone based method. The cone opening angle has been optimised with respect to purity and efficiency. The optimisation algorithm can be found in FindMergeAngle.C.

The so found opening angle is then used to merge photon candidates by use of the function MergeRecoPhotons() in the root script PreprocessData.C

Energy calibration

Event Selection

Signal Generation

Theoretical Signal and Background predictions

Analysis

Helicity structure and signal cross section

Mass determination and partial wave

Cherenkov Detector Prototype

Simulation and simulated data

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