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相关论文: Reconstructing the invisible with matrix elements

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We discuss the possibility of identifying invisible objects (e.g. dark matter) via missing mass in Central Exclusive Processes; that is, in events where only forward protons are detected at the LHC. We show that the signal must have a cross…

高能物理 - 唯象学 · 物理学 2017-04-26 V. A. Khoze , A. D. Martin , M. G. Ryskin

Image foreground extraction is a classical problem in image processing and vision, with a large range of applications. In this dissertation, we focus on the extraction of text and graphics in mixed-content images, and design novel…

计算机视觉与模式识别 · 计算机科学 2018-04-10 Shervin Minaee

Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features. To this end, the reflectance maps, which contain the spectral signatures and…

信号处理 · 电气工程与系统科学 2023-05-24 Pia Addabbo , Nicomino Fiscante , Gaetano Giunta , Danilo Orlando , Giuseppe Ricci , Silvia Liberata Ullo

Most sparticle decay cascades envisaged at the Large Hadron Collider (LHC) involve hadronic decays of intermediate particles. We use state-of-the art techniques based on the \kt jet algorithm to reconstruct the resulting hadronic final…

高能物理 - 唯象学 · 物理学 2009-11-13 J. M. Butterworth , J. R. Ellis , A. R. Raklev

An iterative algorithm for the reconstruction of an unknown quantum state from the results of incompatible measurements is proposed. It consists of Expectation-Maximization step followed by a unitary transformation of the eigenbasis of the…

量子物理 · 物理学 2009-11-06 J. Rehacek , Z. Hradil , M. Jezek

We have described a novel way to determine the Mueller matrix of any optical element by using projection method. For this purpose, we have used two universal SU(2) gadgets for polarization optics to obtain projection matrix directly from…

We study Dark Matter (DM) in the Exceptional Supersymmetric Standard Model (E$_6$SSM). The model has both active and inert Higgs superfields and by imposing discrete symmetries one can generate two DM candidates. We show that the lightest…

高能物理 - 唯象学 · 物理学 2020-11-04 Shaaban Khalil , Stefano Moretti , Diana Rojas-Ciofalo , Harri Waltari

In this article I review two data analysis methods for determining the mass (and eventually the spin-independent cross section on nucleons) of Weakly Interacting Massive Particles with positive signals from direct Dark Matter detection…

高能物理 - 唯象学 · 物理学 2009-11-19 Chung-Lin Shan

A large experimental program is being mounted to search for neutrinoless double-beta decay over the next decade. Multiple experiments using different target isotopes are being prepared to explore the whole parameter space allowed for…

高能物理 - 唯象学 · 物理学 2023-03-22 Matteo Agostini , Frank F. Deppisch , Graham Van Goffrier

We study the problem of witnessing entanglement among indistinguishable particles. For this purpose, we derive a set of equations which results in necessary and sufficient conditions for probing multipartite entanglement between arbitrary…

量子物理 · 物理学 2015-04-22 A. Reusch , J. Sperling , W. Vogel

The ATLAS and CMS Collaborations reported that the observed number of Higgs boson decays into a $Z$ boson and a photon is $\mu = 2.2 \pm 0.7$ times higher than predicted by the Standard Model. Initially, this discrepancy was attributed to a…

高能物理 - 唯象学 · 物理学 2025-03-14 Aliaksei Kachanovich

The inverse problem we consider is to reconstruct the location and shape of buried obstacles in the lower half-space of an unbounded two-layered medium in two dimensions from phaseless far-field data. A main difficulty of this problem is…

数值分析 · 数学 2021-05-26 Long Li , Jiansheng Yang , Bo Zhang , Haiwen Zhang

Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. The…

高能物理 - 实验 · 物理学 2020-06-09 CMS Collaboration

We consider the demixing problem of two (or more) high-dimensional vectors from nonlinear observations when the number of such observations is far less than the ambient dimension of the underlying vectors. Specifically, we demonstrate an…

机器学习 · 统计学 2017-01-25 Mohammadreza Soltani , Chinmay Hegde

Given a factorization of an image into a sum of linear components, we present a zero-shot method to control each individual component through diffusion model sampling. For example, we can decompose an image into low and high spatial…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Daniel Geng , Inbum Park , Andrew Owens

We extend the use of Classification Without Labels for anomaly detection with a hypothesis test designed to exclude the background-only hypothesis. By testing for statistical independence of the two discriminating dataset regions, we are…

高能物理 - 唯象学 · 物理学 2023-03-16 Jernej F. Kamenik , Manuel Szewc

In standard optical tomographic methods, the off-diagonal elements of a density matrix $\rho$ are measured indirectly. Thus, the reconstruction of $\rho$, even if it is based on linear inversion, typically magnifies small errors in the…

量子物理 · 物理学 2016-07-19 Karol Bartkiewicz , Antonín Černoch , Karel Lemr , Adam Miranowicz

A straightforward new technique is introduced which enables measurement at hadron colliders of an analytical combination of the masses of pair-produced semi-invisibly decaying particles and their invisible decay products. The new technique…

高能物理 - 唯象学 · 物理学 2009-07-21 Daniel R. Tovey

In an interferometer, path information and interference visibility are incompatible quantities. Complete determination of the path will exclude any possibility of interference, rendering the visibility zero. However, if the composite object…

量子物理 · 物理学 2007-05-23 Alexei Trifonov , Gunnar Bjork , Jonas Soderholm , Tedros Tsegaye

This paper considers how to separate text and/or graphics from smooth background in screen content and mixed content images and proposes an algorithm to perform this segmentation task. The proposed methods make use of the fact that the…

计算机视觉与模式识别 · 计算机科学 2017-12-05 Shervin Minaee , Yao Wang