Evaluation of Analysis Frameworks in the ATLAS Experiment at CERN and Design of an Optimized Framework for the Search and Determination of Properties of New Particles

There are several experiments that take data at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. One of them is the ATLAS experiment. The ATLAS detector is used to measure the Higgs boson properties and to search for non-standard physics, i.e dark matter. A large amount of raw data is generated by the detector, after which the information is processed by the ATLAS software system. According to the data obtained from the detector, the ATLAS collaboration identifies physical objects. These physical objects are, for example, electrons, muons or other elementary particles. The objects can then be used to recreate the reactions evolving standard particles or hypothetical particles. This study provides a specific example on the software development for Higgs bosons with the aim of providing suggestions to improve it. Moreover, in this thesis, a technique of documenting frameworks is suggested. Ideas are also discussed on how progress monitoring can be enhanced.