441 research outputs found

    Supersymmetry, Naturalness, and Signatures at the LHC

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    Weak scale supersymmetry is often said to be fine-tuned, especially if the matter content is minimal. This is not true if there is a large A term for the top squarks. We present a systematic study on fine-tuning in minimal supersymmetric theories and identify low energy spectra that do not lead to severe fine-tuning. Characteristic features of these spectra are: a large A term for the top squarks, small top squark masses, moderately large tan\beta, and a small \mu parameter. There are classes of theories leading to these features, which are discussed. In one class, which allows a complete elimination of fine-tuning, the Higgsinos are the lightest among all the superpartners of the standard model particles, leading to three nearly degenerate neutralino/chargino states. This gives interesting signals at the LHC -- the dilepton invariant mass distribution has a very small endpoint and shows a particular shape determined by the Higgsino nature of the two lightest neutralinos. We demonstrate that these signals are indeed useful in realistic analyses by performing Monte Carlo simulations, including detector simulations and background estimations. We also present a method that allows the determination of all the relevant superparticle masses without using input from particular models, despite the limited kinematical information due to short cascades. This allows us to test various possible models, which is demonstrated in the case of a model with mixed moduli-anomaly mediation. We also give a simple derivation of special renormalization group properties associated with moduli mediated supersymmetry breaking, which are relevant in a model without fine-tuning.Comment: 56 pages, 24 figure

    Web Omnidirectional Image Viewer for Field Event Extraction

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    A Web-based image viewer for observing an omnidirectional image of fields is proposed. Conventional monitoring systems are monitoring a narrow area of fields, and their image viewers are not optimized for comparing accumulated images. We implemented two functions of the viewer to compare images and conducted an experiment to evaluate their performance. The experimental results showed that Time-travel mode, which partially shows another image in a circular region on an omnidirectional image, had a high degree of usability for extracting field events from accumulated images. The proposed system can help farmers capture comprehensive, panoramic views of their farm for field management.</jats:p

    DIFFERENT POWER AND MUSCULAR ACTMTtES OF THE LOWER UMBS IN THE REBOUND JUMP

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    The purpose of this study is to clarify the differences in myoelectric activities and power exerting the lower limbs of the performance that is jumping height is high and low people in the rebound jump. The subjects was 23 male students belong to track and field (age : 20.8 i 0.9 years, height : 179.6 * 6.1 an, and body mass : 82.3 * 17.0 kg). The subjects performed five-repeated rebound jump (5RJ), based on the jumping height of the result, divided into jumping high-high group (GOOD) and the low group (POOR), it was compared with the lower limbs joint power and myoelectric activity. As a result, fi was dearly that differences in the performance of GOOD and POOR has become the appropriate preliminary motion that was preactiviation of the lower limbs muscles in the before foot contact and due to the quick action in take off of the first half

    Topological terms of (2+1)d flag-manifold sigma models

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    We examine topological terms of (2+1)(2+1)d sigma models and their consequences in the light of classifications of invertible quantum field theories utilizing bordism groups. In particular, we study the possible topological terms for the U(N)/U(1)NU(N)/U(1)^N flag-manifold sigma model in detail. We argue that the Hopf-like term is absent, contrary to the expectation from a nontrivial homotopy group π3(U(N)/U(1)N)=Z\pi_3(U(N)/U(1)^N)=\mathbb{Z}, and thus skyrmions cannot become anyons with arbitrary statistics. Instead, we find that there exist N(N1)21{N(N-1)\over 2}-1 types of Chern-Simons terms, some of which can turn skyrmions into fermions, and we write down explicit forms of effective Lagrangians.Comment: 29 pages; (v2) minor changes, refs update

    Sodium temperature lidar based on injection seeded Nd:YAG pulse lasers using a sum-frequency generation technique

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    We report on a sodium (Na) temperature lidar based on two injection seeded Nd:YAG pulse lasers using single-pass sum-frequency generation. The laser power at 589 nm is 400 mW (40 mJ per pulse at a repetition rate of 10 Hz) and the pulse width is 22 nsec FWHM. The narrowband laser tuned to the Doppler broadened Na D(2) spectrum enables us to measure the temperature of the mesopause region (80-115 km). This solid-state transportable system demonstrated high performance and capability at Syowa Station in Antarctica for 3 years and at Uji in Japan for an additional year without any major operational troubles. (C) 2011 Optical Society of AmericaArticleOPTICS EXPRESS. 19(4):3553-3561 (2011)journal articl

    First mesopause temperature measurements using sodium lidar observations in the Antarctic region

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    The mesopause temperature structure was observed using a sodium temperature lidar system at Syowa Station (69°00\u27 S, 39°35\u27 E), beginning in February 2000. The laser transmitter was newly developed and included two injection-seeded Nd: YAG lasers. Regular observations were performed using the two-frequency technique as demonstrated by C.Y. She et al. (Geophys. Res. Lett., 17, 929, 1990), with a spatial resolution of about 1 km and a temporal resolution of 6 min. The temperature structures of the 85km to 105km region of the upper atmosphere were measured by Na D_2 Doppler profile-fitting as well as the two-frequency technique. Temperatures derived from the two techniques agreed well and were consistent with the MSIS 90 model temperature structure. Night-time temperature variations over a 15-hour period were measured in May 2000. A large temperature fluctuation with an interval of about 4 hours, and an amplitude of 60 K (probably caused by gravity waves) was observed. From the average night temperature profile, the mesopause was determined to be located at 102km, and have a temperature of 180K. These values are similar to winter values observed in the northern hemisphere

    Sodium temperature lidar observation at Syowa Station: Summary of three-year observations and unusually high temperature in 2002

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    Total 223 nights (2002 hours) of temperature measurement in the mesopause region (80-105 km) was successfully done in wintertime at Syowa Station (69&ordm;S, 39&ordm;E) starting from 2000 through 2002. Monthly mean temperatures were calculated using nightly mean temperatures and year-to-year variation was examined. The monthly temperature of 2002 shows unusually higher (25 K and 20 K) in June and July compared with previous 2 years. Variations of individual nights showed the temperatures at 80 km, 85 km and 110 km are in good agreement among three years through the observation period. The temperature of 2002 began to increase from the middle of May and was back to normal around the end of July in the limited altitude range of 90-105 km

    Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies

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    Dementia with Lewy bodies is the second most common type of neurodegenerative dementia, and identification at the prodromal stage-i.e., mild cognitive impairment due to Lewy bodies (MCI-LB)-is important for providing appropriate care. However, MCI-LB is often underrecognized because of its diversity in clinical manifestations and similarities with other conditions such as mild cognitive impairment due to Alzheimer's disease (MCI-AD). In this study, we propose a machine learning-based automatic pipeline that helps identify MCI-LB by exploiting balance measures acquired with an insole sensor during a 30-s standing task. An experiment with 98 participants (14 MCI-LB, 38 MCI-AD, 46 cognitively normal) showed that the resultant models could discriminate MCI-LB from the other groups with up to 78.0% accuracy (AUC: 0.681), which was 6.8% better than the accuracy of a reference model based on demographic and clinical neuropsychological measures. Our findings may open up a new approach for timely identification of MCI-LB, enabling better care for patients
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