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We propose a method to organize experimental data from particle collision experiments in a general format which can enable a simple visualisation and effective classification of collision data using machine learning techniques. The method…

High Energy Physics - Phenomenology · Physics 2019-04-15 S. V. Chekanov

We study single jet production in electron-nucleus collisions e^- + N_A -> J + X, using the 1-jettiness (\tau_1) global event shape. It inclusively quantifies the pattern of radiation in the final state, gives enhanced sensitivity to soft…

High Energy Physics - Phenomenology · Physics 2014-07-28 Zhong-Bo Kang , Xiaohui Liu , Sonny Mantry , Jian-Wei Qiu

Anisotropic flow is accredited to have effects from the initial state geometry and fluctuations in the nuclear overlap region. The elliptic flow ($v_2$) and triangular flow ($v_3$) coefficients of the final state particles are expected to…

High Energy Physics - Phenomenology · Physics 2023-04-13 Suraj Prasad , Neelkamal Mallick , Sushanta Tripathy , Raghunath Sahoo

Regular variation provides a convenient theoretical framework to study large events. In the multivariate setting, the dependence structure of the positive extremes is characterized by a measure - the spectral measure - defined on the…

Machine Learning · Statistics 2021-02-24 Meyer Nicolas , Olivier Wintenberger

We explore the possibility of evaluating flow harmonics by employing the maximum likelihood estimator (MLE). For a given finite multiplicity, the MLE simultaneously furnishes estimations for all the parameters of the underlying distribution…

High Energy Physics - Phenomenology · Physics 2023-08-16 Chong Ye , Wei-Liang Qian , Rui-Hong Yue , Yogiro Hama , Takeshi Kodama

This paper introduces a robust framework for motion segmentation and egomotion estimation using event-based normal flow, tailored specifically for neuromorphic vision sensors. In contrast to traditional methods that rely heavily on optical…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Zhiyuan Hua , Dehao Yuan , Cornelia Fermüller

In high energy particle collisions the shape of the event, i.e. the relative distribution of particles in momentum space, is often used to try to select events with certain topologies. It is claimed that an event shape observable like…

High Energy Physics - Phenomenology · Physics 2021-05-19 Mike Sas , Jonno Schoppink

Particle splitting methods are considered for the estimation of rare events. The probability of interest is that a Markov process first enters a set $B$ before another set $A$, and it is assumed that this probability satisfies a large…

Probability · Mathematics 2007-11-14 Thomas Dean , Paul Dupuis

Within this work, we present a novel approach to fracture simulations based on shape optimization techniques. Contrary to widely-used phase-field approaches in literature the proposed method does not require a specified 'length-scale'…

Optimization and Control · Mathematics 2025-04-01 Tim Suchan , Kathrin Welker , Winnifried Wollner

In a wide variety of situations, anomalies in the behaviour of a complex system, whose health is monitored through the observation of a random vector X = (X1,. .. , X d) valued in R d , correspond to the simultaneous occurrence of extreme…

Methodology · Statistics 2019-07-18 Maël Chiapino , Stéphan Clémençon , Vincent Feuillard , Anne Sabourin

Azimuthal anisotropy is a key observation made in ultrarelativistic heavy-ion collisions. This phenomenon has played a crucial role in the development of the field over the last two decades. In addition to its interest for studying the…

Nuclear Experiment · Physics 2023-10-20 Jean-Yves Ollitrault

Mass violence, almost no matter how defined, is (thankfully) rare. Rare events are very difficult to study in a systematic manner. Standard statistical procedures can fail badly and usefully accurate forecasts of rare events often are…

Applications · Statistics 2019-03-05 Richard A. Berk , Susan B. Sorenson

In view of a three-dimensional picture (3D) of probability to find a particle at a plane of the frequency and the time (PTF) becomes that process of absorption and process of radiation for two - level system have different direction on the…

Quantum Physics · Physics 2016-09-08 Evgueni V. Kovarski

We propose an application of the Kolmogorov-Smirnov test for rapidity distributions of individual events in ultrarelativistic heavy ion collisions. The test is particularly suitable to recognise non-statistical differences between the…

We propose to extend the commonly known flow analysis in the transverse $p_x$-$p_y$ plane to novel flow coefficients based on the angular distribution in the $p_x$-$p_z$ and $p_y$-$p_z$ planes. The new flow coefficients, called $u_n$ and…

Nuclear Theory · Physics 2022-07-07 Tom Reichert , Jan Steinheimer , Marcus Bleicher

We propose the use of 1-jettiness, a global event shape, for exclusive single jet production in lepton-nucleus deep inelastic scattering (DIS). We derive a factorization formula, using the Soft-Collinear Effective Theory, differential in…

High Energy Physics - Phenomenology · Physics 2014-01-13 Zhong-Bo Kang , Xiaohui Liu , Sonny Mantry , Jian-Wei Qiu

Active matter represents a broad class of systems that evolve far from equilibrium due to the local injection of energy. Like their passive analogues, transformations between distinct metastable states in active matter proceed through rare…

Statistical Mechanics · Physics 2022-01-17 Avishek Das , Benjamin Kuznets-Speck , David T. Limmer

The exact way of treating flux shape uncertainties in unfolded, flux-averaged neutrino cross-section measurements can lead to subtle issues when comparing the results to model predictions. There is a difference between reporting a cross…

High Energy Physics - Experiment · Physics 2021-01-04 Lukas Koch , Stephen Dolan

In high-energy collisions of small systems, by high-enough final-state multiplicities, a collective behaviour is present that is similar to the flow patterns observed in heavy-ion collisions. Recent studies connect this collectivity to…

High Energy Physics - Phenomenology · Physics 2023-06-12 Aniko Horvath , Eszter Frajna , Robert Vertesi

We introduce a new method for category-level pose estimation which produces a distribution over predicted poses by integrating 3D shape estimates from a generative object model with segmentation information. Given an input depth-image of an…

Computer Vision and Pattern Recognition · Computer Science 2019-05-30 Benjamin Burchfiel , George Konidaris