Search for jet extinction in the inclusive jet-pT spectrum from proton-proton collisions at s=8 TeV

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published articles title, journal citation, and DOI.The first search at the LHC for the extinction of QCD jet production is presented, using data collected with the CMS detector corresponding to an integrated luminosity of 10.7  fb−1 of proton-proton collisions at a center-of-mass energy of 8 TeV. The extinction model studied in this analysis is motivated by the search for signatures of strong gravity at the TeV scale (terascale gravity) and assumes the existence of string couplings in the strong-coupling limit. In this limit, the string model predicts the suppression of all high-transverse-momentum standard model processes, including jet production, beyond a certain energy scale. To test this prediction, the measured transverse-momentum spectrum is compared to the theoretical prediction of the standard model. No significant deficit of events is found at high transverse momentum. A 95% confidence level lower limit of 3.3 TeV is set on the extinction mass scale

Searches for electroweak neutralino and chargino production in channels with Higgs, Z, and W bosons in pp collisions at 8 TeV

Searches for supersymmetry (SUSY) are presented based on the electroweak pair production of neutralinos and charginos, leading to decay channels with Higgs, Z, and W bosons and undetected lightest SUSY particles (LSPs). The data sample corresponds to an integrated luminosity of about 19.5 fb(-1) of proton-proton collisions at a center-of-mass energy of 8 TeV collected in 2012 with the CMS detector at the LHC. The main emphasis is neutralino pair production in which each neutralino decays either to a Higgs boson (h) and an LSP or to a Z boson and an LSP, leading to hh, hZ, and ZZ states with missing transverse energy (E-T(miss)). A second aspect is chargino-neutralino pair production, leading to hW states with E-T(miss). The decays of a Higgs boson to a bottom-quark pair, to a photon pair, and to final states with leptons are considered in conjunction with hadronic and leptonic decay modes of the Z and W bosons. No evidence is found for supersymmetric particles, and 95% confidence level upper limits are evaluated for the respective pair production cross sections and for neutralino and chargino mass values

A nonlinear and non-iterative noise reduction technique for medical images: concept and methods comparison

Filtering is a preliminary process in many medical image processing applications. It is aiming at reducing noise in images. Any post-processing tasks may benefit from the reduction of noise. In this paper, a method for edge-preserving smoothing of 2D and 3D medical images is described. The proposed method uses a narrow spatial window and takes only a single iteration to deinoise an image. It integrates geometric, photometric and local structural similarities to achieve nonlinear noise reduction. We have applied this novel method to medical images and compared its denoising capability with other noise reduction techniques. The experimental results have shown that our method is capable of reducing severe noise, and is an adequate preprocess to improving the quality of segmentation and facilitating the feature extraction process. (C) 2004 CARS and Elsevier B.V. All rights reserved

Augmented vessels for quantitative analysis of vascular abnormalities and endovascular treatment planning

Endovascular treatment plays an important role in the minimally invasive treatment of patients with vascular diseases, a major cause of morbidity and mortality worldwide. Given a segmentation of an angiography, quantitative analysis of abnormal structures can aid radiologists in choosing appropriate treatments and apparatuses. However, effective quantitation is only attainable if the abnormalities are identified from the vasculature. To achieve this, a novel method is developed, which works on the simpler shape of normal vessels to identify different vascular abnormalities (viz. stenotic atherosclerotic plaque, and saccular and fusiform aneurysmal lumens) in an indirect fashion, instead of directly manipulating the complex-shaped abnormalities. The proposed method has been tested on three synthetic and 17 clinical data sets. Comparisons with two related works are also conducted. Experimental results show that our method can produce satisfactory identification of the abnormalities and approximations of the ideal post-treatment vessel lumens. In addition, it can help increase the repeatability of the measurement of clinical parameters significantly

A Non-Linear and Non-Iterative Noise Reduction Technique for Medical Images: Concept and Methods Comparison

Filtering is a preliminary process in many medical image processing applications. It is aiming at reducing noise in images. Any post-processing tasks may benefit from the reduction of noise. In this contribution, a method for edge-preserving smoothing of 2D and 3D medical images is described. The proposed method uses a narrow spatial window and takes only a single iteration to denoise an image. It integrates geometric, photometric and local structural similarities to achieve non-linear noise reduction. We have applied this novel method to medical images and compared its denoising capability with other noise reduction techniques. The experimental results have shown that our method is capable of reducing severe noise, and is an adequate pre-process to improving the quality of segmentation and facilitating the feature extraction process