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A new mechanism for suppression of the instanton density in the infrared is considered. This mechanism is based on the phenomenon of topological charge screening, which leads to an effective cutoff in the contribution of large instantons.

High Energy Physics - Phenomenology · Physics 2007-05-23 Nikolai Kochelev

The selection of $\eta$ mesons with a high efficiency and a high purity can be important in the formation of statistically significant invariant mass spectra in the reconstruction of short-lived particles such as $\eta' \rightarrow \pi^{+}…

High Energy Physics - Phenomenology · Physics 2018-05-23 A. Bingül , U. Şaşmaz , A. J. Beddall

We briefly report on the contribution of QCD-instantons to the phenomenon of saturation in deep-inelastic scattering (DIS) at small Bjorken-x. The explicitly known instanton gauge field serves as a concrete realization of an underlying…

High Energy Physics - Phenomenology · Physics 2017-08-23 F. Schrempp , A. Utermann

We develop a Gaussian process regression enhanced line integral string method to accelerate ring polymer instanton calculations of tunneling rates and tunneling splittings in molecular proton transfer reactions. By exploiting uncertainty…

Chemical Physics · Physics 2026-02-20 Chenghao Zhang , Amke Nimmrich , Axel Gomez , Munira Khalil , Niranjan Govind

With continuously increasing intensities, modern laser systems can become a valuable tool for the search for axions and axion-like particles. As conventional setups of axion searches cannot easily accommodate the usage of a high-intensity…

High Energy Physics - Phenomenology · Physics 2010-11-01 Babette Döbrich , Holger Gies

We introduce an approach which allows detecting causal relationships between variables for which the time evolution is available. Causality is assessed by a variational scheme based on the Information Imbalance of distance ranks, a…

Methodology · Statistics 2024-05-07 Vittorio Del Tatto , Gianfranco Fortunato , Domenica Bueti , Alessandro Laio

Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure. Active learning addresses this challenge by striving for optimum…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Ke Yu , Stephen Albro , Giulia DeSalvo , Suraj Kothawade , Abdullah Rashwan , Sasan Tavakkol , Kayhan Batmanghelich , Xiaoqi Yin

High-dimensional self-exciting point processes have been widely used in many application areas to model discrete event data in which past and current events affect the likelihood of future events. In this paper, we are concerned with…

Methodology · Statistics 2020-06-08 Daren Wang , Yi Yu , Rebecca Willett

A model-independent search for deviations from the Standard Model prediction is performed in $e^+ p$ and $e^- p$ collisions at HERA II using all high energy data recorded by the H1 experiment. This corresponds to a total integrated…

High Energy Physics - Experiment · Physics 2007-07-28 E. Sauvan

Microcanonical instanton theory offers the promise of providing rate constants for chemical reactions including quantum tunneling of atoms over the whole temperature range. We discuss different rate expressions, which require the…

Chemical Physics · Physics 2020-09-09 Sean R. McConnell , Andreas Löhle , Johannes Kästner

Given the lack of evidence for new particle discoveries at the Large Hadron Collider (LHC), it is critical to broaden the search program. A variety of model-independent searches have been proposed, adding sensitivity to unexpected signals.…

High Energy Physics - Phenomenology · Physics 2020-05-13 Anders Andreassen , Benjamin Nachman , David Shih

In practice, machine learning methods commonly require anomaly detection (AD) to filter inputs or detect distributional shifts. Typically, this is implemented by running a separate AD model alongside the primary model. However, this…

Machine Learning · Computer Science 2026-03-19 Luca Hinkamp , Simon Klüttermann , Emmanuel Müller

Active learning for object detection is conventionally achieved by applying techniques developed for classification in a way that aggregates individual detections into image-level selection criteria. This is typically coupled with the…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Michael Laielli , Giscard Biamby , Dian Chen , Ritwik Gupta , Adam Loeffler , Phat Dat Nguyen , Ross Luo , Trevor Darrell , Sayna Ebrahimi

Object proposal technique with dense anchoring scheme for scene text detection were applied frequently to achieve high recall. It results in the significant improvement in accuracy but waste of computational searching, regression and…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Anna Zhu , Hang Du , Shengwu Xiong

Thanks to technological advances leading to near-continuous time observations, emerging multivariate point process data offer new opportunities for causal discovery. However, a key obstacle in achieving this goal is that many relevant…

Machine Learning · Statistics 2021-12-15 Xu Wang , Ali Shojaie

I describe the new instrumentation for the SIMPLE dark matter search experiment, and its use in identifying, validating and rejecting non-WIMP backgrounds in the first stage of the Phase II project measurements. Beyond intrinsic acoustic…

Instrumentation and Methods for Astrophysics · Physics 2011-01-11 M. Felizardo

We present a new mechanism for the creation of large rapidity gaps in DIS events at HERA. Soft colour interactions between perturbatively produced partons and colour-charges in the proton remnant, modifies the colour structure for…

High Energy Physics - Phenomenology · Physics 2008-02-03 A. Edin , G. Ingelman , J. Rathsman

In the realm of dijet searches in high-energy physics, a significant challenge has emerged: with experiments producing more and more data, the traditional methods of using analytic functions to describe dijet mass spectra start to fail. To…

High Energy Physics - Experiment · Physics 2024-03-14 Sergei V. Chekanov , Rui Zhang

We present a Polyhedral Scene Generator system which creates a random scene based on a few user parameters, renders the scene from random view points and creates a dataset containing the renderings and corresponding annotation files. We…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Markus D. Solbach , Stephen Voland , Jeff Edmonds , John K. Tsotsos

In depth-sensing applications ranging from home robotics to AR/VR, it will be common to acquire 3D scans of interior spaces repeatedly at sparse time intervals (e.g., as part of regular daily use). We propose an algorithm that analyzes…

Computer Vision and Pattern Recognition · Computer Science 2019-09-26 Maciej Halber , Yifei Shi , Kai Xu , Thomas Funkhouser