作者: Tapio Lampén , None
DOI:
关键词: Detector 、 Geometric alignment 、 Software 、 Algorithm 、 Large Hadron Collider 、 Pixel detector 、 Minification
摘要: This thesis presents studies related to track-based alignment for the future CMS experiment at CERN. Excellent geometric is crucial fully benefit from outstanding resolution of individual sensors. The large number sensors makes it difficult in utilize computationally demanding algorithms. A light algorithm, called Hits and Impact Points algorithm (HIP), developed studied. It based on minimization hit residuals. can be applied or composite objects. All six parameters (three translations three rotations), their subgroup considered. expected particularly suitable innermost part CMS, pixel detector, during its early operation, but easily utilized align other parts also. HIP simulated data real measured with a test-beam setup. simulation demonstrate that promising candidate detector. study shows use significantly improves genuine hardware. positioning uncertainties different have also been systematically estimated. Ready-made scenarios corresponding these implemented reconstruction software ORCA. These used studies. They widely more realistic misalignment physics performance collaboration.