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相关论文: Deconstructed Transverse Mass Variables

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In supersymmetric models without $R$-parity neutrinos naturally become massive and mix with each other. We explore the predictions of a very restricted model with only three free parameters and find that this model naturally yields masses…

高能物理 - 唯象学 · 物理学 2007-05-23 Ralf Hempfling

The success of the compressed sensing paradigm has shown that a substantial reduction in sampling and storage complexity can be achieved in certain linear and non-adaptive estimation problems. It is therefore an advisable strategy for…

信息论 · 计算机科学 2014-08-27 Peter Jung , Philipp Walk

In this paper, we study the problem of decomposing a superposition of a low-rank matrix and a sparse matrix when a relatively few linear measurements are available. This problem arises in many data processing tasks such as aligning multiple…

信息论 · 计算机科学 2012-03-01 Arvind Ganesh , Kerui Min , John Wright , Yi Ma

SUSY/SUGRA models with naturalness defined via small $\mu$ are constrained due to experiment on the relic density and the experimental limits on the WIMP-proton cross-section and WIMP annihilation cross-section from indirect detection…

高能物理 - 唯象学 · 物理学 2020-05-20 Amin Aboubrahim , Wan-Zhe Feng , Pran Nath

Experimental searches for supersymmetry (SUSY) are entering a new era. The failure to observe signals of sparticle production at the Large Hadron Collider (LHC) has eroded the central motivation for SUSY breaking at the weak scale. However,…

高能物理 - 唯象学 · 物理学 2025-01-31 Luis A. Anchordoqui , Ignatios Antoniadis , Karim Benakli , Jules Cunat , Dieter Lust

We summarize methods and expected accuracies in determining the basic low-energy SUSY parameters from experiments at future e$^+$e$^-$ linear colliders in the TeV energy range, combined with results from LHC. In a second step we demonstrate…

高能物理 - 唯象学 · 物理学 2009-11-07 P. M. Zerwas , J. Kalinowski , A. Freitas , G. A. Blair , S. Y. Choi , H. U. Martyn , G. Moortgat-Pick , W. Porod

Mass variable \sqrt{\hat{S}_{min}} and its variants were constructed by minimising the parton level center of mass energy that is consistent with all inclusive measurements. They were proposed to have the ability to measure mass scale of…

高能物理 - 唯象学 · 物理学 2015-03-31 Abhaya Kumar Swain , Partha Konar

Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this correspondence, a $K \times N$ measurement matrix for compressed sensing is deterministically constructed via additive…

信息论 · 计算机科学 2010-10-04 Nam Yul Yu

In this paper, we study the problem of compressed sensing using binary measurement matrices and $\ell_1$-norm minimization (basis pursuit) as the recovery algorithm. We derive new upper and lower bounds on the number of measurements to…

机器学习 · 统计学 2020-04-28 Mahsa Lotfi , Mathukumalli Vidyasagar

We consider here the constraints in SUGRA models on the SUSY parameter space due to current experimental bounds on the light Higgs mass m_h, the b-> s gamma decay, the amount of neutralino cold dark matter Omega h^2, and the muon magnetic…

高能物理 - 唯象学 · 物理学 2007-05-23 R. Arnowitt , B. Dutta

It was recently shown how to break supersymmetry in certain $AdS_3$ spaces, without destabilizing the background, by using a ``double trace'' deformation which localizes on the boundary of space-time. By viewing spatial sections of $AdS_3$…

高能物理 - 理论 · 物理学 2007-05-23 Micha Berkooz

We present results from a generic search for strongly produced supersymmetric particles in pp collisions in the multijet + missing transverse momentum final state. The data sample corresponds to 2.3 fb$^{-1}$ recorded by the CMS experiment…

高能物理 - 实验 · 物理学 2016-05-20 John Bradmiller-Feld

We study the potential of neutralino dark matter searches and SUSY particle production at colliders in the framework of the Minimal Supersymmetric Standard Model. We show the effects of a non universal gluino mass parameter. The future…

高能物理 - 唯象学 · 物理学 2007-05-23 E. Nezri

For any new physics possibly emerging in the future B experiments, the problem is how to extract the signals from the SM background. We consider the decay $b\to s s\bar d$ which is very small in the SM. In the MSSM this decay is possibly…

高能物理 - 唯象学 · 物理学 2009-10-31 Katri Huitu , Cai-Dian Lü , Paul Singer , Da-Xin Zhang

With the development of numbers of high resolution data acquisition systems and the global requirement to lower the energy consumption, the development of efficient sensing techniques becomes critical. Recently, Compressed Sampling (CS)…

信息论 · 计算机科学 2015-06-11 Mohammad Golbabaee , Simon Arberet , Pierre Vandergheynst

We propose that a single, spontaneously broken, U(1) gauge symmetry may be responsible for suppressing both the first two generation Yukawa couplings, and also, in a correlated manner, parameters in the dynamical supersymmetry (SUSY)…

高能物理 - 唯象学 · 物理学 2015-06-15 Edward Hardy , John March-Russell

We propose a novel sparse tensor decomposition method, namely Tensor Truncated Power (TTP) method, that incorporates variable selection into the estimation of decomposition components. The sparsity is achieved via an efficient truncation…

机器学习 · 统计学 2016-05-04 Will Wei Sun , Junwei Lu , Han Liu , Guang Cheng

The search for physics beyond the Standard Model (BSM) is one of the most important goals for the general purpose detector ATLAS at the Large Hadron Collider at CERN. Already with early LHC data, the ATLAS experiment should be sensitive to…

高能物理 - 实验 · 物理学 2009-10-30 Janet Dietrich

In N=1 supergravity supersymmetric (SUSY) and non-supersymmetric Minkowski vacua originating in the hidden sector can be degenerate. In the supersymmetric phase in flat Minkowski space non-perturbative supersymmetry breakdown may take place…

高能物理 - 唯象学 · 物理学 2015-05-27 C. Froggatt , R. Nevzorov , H. B. Nielsen

In compressed sensing, we wish to reconstruct a sparse signal $x$ from observed data $y$. In sparse coding, on the other hand, we wish to find a representation of an observed signal $y$ as a sparse linear combination, with coefficients $x$,…

计算机视觉与模式识别 · 计算机科学 2013-11-25 Will Landecker , Rick Chartrand , Simon DeDeo
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