The new CDF II measurement of W-boson mass shows a 7σdeviation from the standard model(SM)prediction,while the recent FNAL measurement of the muon g-2 shows a 4.2σdeviation(combined with the BNL result)from the SM.B...The new CDF II measurement of W-boson mass shows a 7σdeviation from the standard model(SM)prediction,while the recent FNAL measurement of the muon g-2 shows a 4.2σdeviation(combined with the BNL result)from the SM.Both of them strongly indicate new physics beyond the SM.In this work,we study the implication of both measurements on low energy supersymmetry.With an extensive exploration of the parameter space of the minimal supersymmetric standard model(MSSM),we find that in the parameter space allowed by current experimental constraints from colliders and dark matter detections,the MSSM can simultaneously explain both measurements on the edge of 2σlevel,taking theoretical uncertainties into consideration.The favored parameter space,characterized by a compressed spectrum between bino,wino and stau,with the stop being around 1 TeV,may be covered in the near future LHC searches.展开更多
We present a computerized method for the semi-automatic detection of contours in ultrasound images. The novelty of our study is the introduction of a fast and efficient image function relating to parametric active con...We present a computerized method for the semi-automatic detection of contours in ultrasound images. The novelty of our study is the introduction of a fast and efficient image function relating to parametric active contour models. This new function is a combination of the gray-level information and first-order statistical features, called standard deviation parameters. In a comprehensive study, the developed algorithm and the efficiency of segmentation were first tested for synthetic images. Tests were also performed on breast and liver ultrasound images. The proposed method was compared with the watershed approach to show its efficiency. The performance of the segmentation was estimated using the area error rate. Using the standard devia- tion textural feature and a 5x5 kernel, our curve evolution was able to produce results close to the minimal area error rate （namely 8.88% for breast images and 10.82% for liver images）. The image resolution was evaluated using the con- trast-to-gradient method. The experiments showed promising segmentation results.展开更多
基金supported by the National Natural Science Foundation of China(11821505,12075300,and 12105248)the Key Research Project of Henan Education Department for Colleges and Universities(21A140025)+4 种基金Peng-Huan-Wu Theoretical Physics Innovation Center(12047503)the CAS Center for Excellence in Particle Physics(CCEPP)the CAS Key Research Program of Frontier Scienceshe Key R&D Program of Ministry of Science and Technology of the People’s Republic of China(2017YFA0402204)the Key Research Program of the Chinese Academy of Sciences(XDPB15)。
文摘The new CDF II measurement of W-boson mass shows a 7σdeviation from the standard model(SM)prediction,while the recent FNAL measurement of the muon g-2 shows a 4.2σdeviation(combined with the BNL result)from the SM.Both of them strongly indicate new physics beyond the SM.In this work,we study the implication of both measurements on low energy supersymmetry.With an extensive exploration of the parameter space of the minimal supersymmetric standard model(MSSM),we find that in the parameter space allowed by current experimental constraints from colliders and dark matter detections,the MSSM can simultaneously explain both measurements on the edge of 2σlevel,taking theoretical uncertainties into consideration.The favored parameter space,characterized by a compressed spectrum between bino,wino and stau,with the stop being around 1 TeV,may be covered in the near future LHC searches.
基金supported by the Project SOP HRD-EFICIENT 61445/2009 of University Dunarea de Jos of Galati,Romania
文摘We present a computerized method for the semi-automatic detection of contours in ultrasound images. The novelty of our study is the introduction of a fast and efficient image function relating to parametric active contour models. This new function is a combination of the gray-level information and first-order statistical features, called standard deviation parameters. In a comprehensive study, the developed algorithm and the efficiency of segmentation were first tested for synthetic images. Tests were also performed on breast and liver ultrasound images. The proposed method was compared with the watershed approach to show its efficiency. The performance of the segmentation was estimated using the area error rate. Using the standard devia- tion textural feature and a 5x5 kernel, our curve evolution was able to produce results close to the minimal area error rate （namely 8.88% for breast images and 10.82% for liver images）. The image resolution was evaluated using the con- trast-to-gradient method. The experiments showed promising segmentation results.
