Diffractive Final States with the H1 Detector at HERA

Recent measurements of diffractive dijet and charm quark production in electron-proton collisions using the H1 detector at HERA are presented, where the exchanged photon is either almost real or highly virtual. The data are compared with leading and next-to-leading order QCD calculations based on the diffractive parton distributions obtained from a recent DGLAP QCD analysis of H1 inclusive diffractive deep-inelastic scattering data, thus testing QCD factorization in diffractive ep interactions.Comment: 3 pages, 6 figures, to appear in the proceedings of the Intl. Europhysics Conference on High Energy Physics EPS 2003, Aachen, July 200

Measurements of the Top Quark Pair-Production Cross Section

Measurements of the inclusive and differential cross section for the production of top quark pairs in proton-(anti)proton collision at center-of-mass energies of 1.96, 7.0 and 8.0 TeV are presented and compared with the latest theory predictions and Monte-Carlo models. In addition, first measurements of the production of top quark pairs in association with additional jets or with a boson are highlighted. All measurements are in good agreement with the Standard Model.Comment: 6 pages, 11 figures, proceedings of HCP2012, Kyoto (Japan

HERA Diffractive Structure Function Data and Parton Distributions

Recent diffractive structure function measurements by the H1 and ZEUS experiments at HERA are reviewed. Various data sets, obtained using systematically different selection and reconstruction methods, are compared. NLO DGLAP QCD fits are performed to the most precise H1 and ZEUS data and diffractive parton densities are obtained in each case. Differences between the Q^2 dependences of the H1 and ZEUS data are reflected as differences between the diffractive gluon densities.Comment: Contributed to the Proceedings of the Workshop on HERA and the LHC, DESY and CERN, 2004-200

Track-based alignment in the CMS detector

The strategy for track based alignment of the CMS tracking and muon detectors is presented. After an overview over the used data samples, the general alignment strategy is presented, with a focus of the procedures envisaged at the start of data taking in 2008. The three currently used alignment algorithms are discussed and first results on their application to the CMS tracker are presented, as well as studies on the alignment of the Muon detector with tracks.The strategy for track based alignment of the CMS tracking and muon detectors is presented. After an overview over the used data samples, the general alignment strategy is presented, with a focus of the procedures envisaged at the start of data taking in 2008. The three currently used alignment algorithms are discussed and first results on their application to the CMS tracker are presented, as well as studies on the alignment of the Muon detector with tracks

Track Reconstruction and Alignment with the CMS Silicon Tracker

This report presents recent results on track reconstruction and alignment with the silicon tracker of the CMS experiment at the LHC, obtained with a full detector simulation. After an overview of the layout of the tracker and its material budget, the baseline algorithm for track reconstruction is discussed. The performance of the track reconstruction and its dependence on misalignment is shown. The concept for alignment of the CMS tracker, using a laser alignment system as well as three different track-based alignment algorithms, is presented

Efficient deep CNNs for cross-modal automated computer vision under time and space constraints

We present an automated computer vision architecture to handle video and image data using the same backbone networks. We show empirical results that lead us to adopt MOBILENETV2 as this backbone architecture. The paper demonstrates that neural architectures are transferable from images to videos through suitable preprocessing and temporal information fusion

Prospects for Measuring B_s->mu mu with the CMS Detector

The flavor-changing neutral current decay B_s->mu mu is highly suppressed in the standard model, but its branching fraction of 3.4*10^-9 could be significantly enhanced through contributions from new physics. At the LHC, this rare decay could be observed for the first time. In this contribution, the prospects for measuring B_s->mu mu with the CMS detector are presented. In particular, some aspects of the experimental setup, the first and high level trigger selections, and the offline analysis are discussed.Comment: 5 pages, to appear in the proceedings of BEAUTY 2005, June 20-24, 2005, Assisi (Italy

Deep Learning in medizinischer Diagnostik und Qualitätskontrolle

Erschienen in : Special Issue IT for Health 01/2019, S. 24-25Künstliche Intelligenz und maschinelles Lernen eröffnen vielversprechende Anwendungsmöglichkeiten in der Medizin. Insbesondere Deep-Learning-Algorithmen bieten neue Lösungsansätze sowohl in der bildgestützten medizinischen Diagnostik als auch in der Qualitätskontrolle von Medizinprodukten