ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 2018-10-13
    Description: Author(s): Howard Baer, Vernon Barger, James S. Gainer, Dibyashree Sengupta, Hasan Serce, and Xerxes Tata The electroweak fine-tuning measure Δ EW allows for correlated supersymmetry (SUSY) soft terms as are expected in any ultraviolet complete theory. Requiring no less than 3% electroweak fine-tuning implies upper bounds of about 360 GeV on all Higgsinos, while top squarks are lighter than ∼ 3     TeV and g... [Phys. Rev. D 98, 075010] Published Fri Oct 12, 2018
    Keywords: Beyond the standard model
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2017-10-11
    Description: Author(s): R. Sekhar Chivukula, Joshua Isaacson, Kirtimaan A. Mohan, Dipan Sengupta, and Elizabeth H. Simmons The LHCb Collaboration has recently reported a 2.5 σ discrepancy with respect to the predicted value in a test of lepton universality in the ratio R K * = BR ( B → K * μ + μ − ) / BR ( B → K * e + e − ) . Coupled with an earlier observation of a similar anomaly in R K , this has generated significant excitement. A number of new ... [Phys. Rev. D 96, 075012] Published Tue Oct 10, 2017
    Keywords: Beyond the standard model
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2018-08-01
    Description: Author(s): Howard Baer, Vernon Barger, and Dibyashree Sengupta Anomaly-mediated supersymmetry breaking (AMSB) models seem to have become increasingly implausible due to 1) difficulty in generating a Higgs mass m h ∼ 125     GeV , 2) typically unnatural superparticle spectra characterized by a large superpotential mu term, and 3) the possibility of a winolike lightest ... [Phys. Rev. D 98, 015039] Published Tue Jul 31, 2018
    Keywords: Beyond the standard model
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2017-05-20
    Description: Author(s): Rahool Kumar Barman, Genevieve Bélanger, Biplob Bhattacherjee, Rohini Godbole, Gaurav Mendiratta, and Dipan Sengupta We study the decay of 125 GeV Higgs boson to a pair of lightest neutralinos in the phenomenological minimal supersymmetric standard model in the context of collider searches and astrophysical experiments. We consider the parameter space for light neutralinos that can be probed via the invisible Higg… [Phys. Rev. D 95, 095018] Published Fri May 19, 2017
    Keywords: Beyond the standard model
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2018-02-24
    Description: Author(s): Howard Baer, Vernon Barger, James S. Gainer, Michael Savoy, Dibyashree Sengupta, and Xerxes Tata Naturalness arguments applied to simple supersymmetric (SUSY) theories require a set of light higgsinos with mass ∼ | μ | not too far from m h . These models have an inverted electroweakino spectrum with | μ | ≪ M 2 which leads to a rather clean, hadronically quiet, same-sign diboson (SSdB) signature at hadro... [Phys. Rev. D 97, 035012] Published Fri Feb 23, 2018
    Keywords: Beyond the standard model
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2013-08-31
    Description: An essential component in global climate research is accurate cloud cover and type determination. Of the two approaches to texture-based classification (statistical and textural), only the former is effective in the classification of natural scenes such as land, ocean, and atmosphere. In the statistical approach that was adopted, parameters characterizing the stochastic properties of the spatial distribution of grey levels in an image are estimated and then used as features for cloud classification. Two types of textural measures were used. One is based on the distribution of the grey level difference vector (GLDV), and the other on a set of textural features derived from the MaxMin cooccurrence matrix (MMCM). The GLDV method looks at the difference D of grey levels at pixels separated by a horizontal distance d and computes several statistics based on this distribution. These are then used as features in subsequent classification. The MaxMin tectural features on the other hand are based on the MMCM, a matrix whose (I,J)th entry give the relative frequency of occurrences of the grey level pair (I,J) that are consecutive and thresholded local extremes separated by a given pixel distance d. Textural measures are then computed based on this matrix in much the same manner as is done in texture computation using the grey level cooccurrence matrix. The database consists of 37 cloud field scenes from LANDSAT imagery using a near IR visible channel. The classification algorithm used is the well known Stepwise Discriminant Analysis. The overall accuracy was estimated by the percentage or correct classifications in each case. It turns out that both types of classifiers, at their best combination of features, and at any given spatial resolution give approximately the same classification accuracy. A neural network based classifier with a feed forward architecture and a back propagation training algorithm is used to increase the classification accuracy, using these two classes of features. Preliminary results based on the GLDV textural features alone look promising.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Old Dominion Univ., NASA/American Society for Engineering Ed; Old Dominion Univ.,
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2019-07-12
    Description: Stratocumulus, cumulus, and cirrus clouds were identified on the basis of cloud textural features which were derived from a single high-resolution Landsat MSS NIR channel using a stepwise linear discriminant analysis. It is shown that, using this method, it is possible to distinguish high cirrus clouds from low clouds with high accuracy on the basis of spatial brightness patterns. The largest probability of misclassification is associated with confusion between the stratocumulus breakup regions and the fair-weather cumulus.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Journal of Geophysical Research (ISSN 0148-0227); 93; 12663-12
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2019-07-13
    Description: The present study reexamines the applicability of texture-based features for automatic cloud classification using very high spatial resolution (57 m) Landsat multispectral scanner digital data. It is concluded that cloud classification can be accomplished using only a single visible channel.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Digital Image Processing and Visual Communications Technologies in Meteorology; Oct 27, 1987 - Oct 28, 1987; Cambridge, MA; United States
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2019-07-12
    Description: The loss of cloud-classification accuracy as a function of spatial resolution is assessed by investigating the variation of textural measures as a function of spatial resolution. Landsat MSS imagery is progressively averaged to produce degraded imagery of 1/8-km, 1/4-km, 1/2-km, and 1-km spatial resolution, and textural measures are computed from the Gray Level Difference Vector (GLDV) approach described by Chen et al. (1989). It is found that the classification accuracies obtained using the 1/8-km spatial resolution data are similar to those obtained using the full-resolution (1/16 km) texture measures, indicating that there is no advantage in using even higher spatial resolution 30-m Landsat Thematic Mapper and 10-m SPOT imagery for cloud classification.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Journal of Geophysical Research (ISSN 0148-0227); 94; 14767-14
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2019-07-12
    Description: This paper compares the results of cloud-field classification derived from two simplified vector approaches, the Sum and Difference Histogram (SADH) and the Gray Level Difference Vector (GLDV), with the results produced by the Gray Level Cooccurrence Matrix (GLCM) approach described by Welch et al. (1988). It is shown that the SADH method produces accuracies equivalent to those obtained using the GLCM method, while the GLDV method fails to resolve error clusters. Compared to the GLCM method, the SADH method leads to a 31 percent saving in run time and a 50 percent saving in storage requirements, while the GLVD approach leads to a 40 percent saving in run time and an 87 percent saving in storage requirements.
    Keywords: METEOROLOGY AND CLIMATOLOGY
    Type: Journal of Geophysical Research (ISSN 0148-0227); 94; 14749-14
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...