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While the observation of nucleon decay would be a smoking gun of Grand Unified Theories (GUTs) in general, the ratios between the decay rates of the various channels carry rich information about the specific GUT model realization. To…

High Energy Physics - Phenomenology · Physics 2021-06-30 Stefan Antusch , Christian Hohl , Vasja Susič

The multiresolution Gaussian process (GP) has gained increasing attention as a viable approach towards improving the quality of approximations in GPs that scale well to large-scale data. Most of the current constructions assume full…

Machine Learning · Statistics 2019-02-26 Jalil Taghia , Thomas B. Schön

We propose an algorithm for an optimal adaptive selection of points from the design domain of input random variables that are needed for an accurate estimation of failure probability and the determination of the boundary between safe and…

Computational Engineering, Finance, and Science · Computer Science 2023-06-30 Aleksei Gerasimov , Miroslav Vořechovský

In this paper, a novel and robust algorithm is proposed for adaptive beamforming based on the idea of reconstructing the autocorrelation sequence (ACS) of a random process from a set of measured data. This is obtained from the first column…

Information Theory · Computer Science 2021-06-25 Saeed Mohammadzadeh , Vitor H. Nascimento , Rodrigo C. de Lamare , Osman Kukrer

The dynamics of phase field crystal (PFC) modeling is derived from dynamical density functional theory (DDFT), for both single-component and binary systems. The derivation is based on a truncation up to the three-point direct correlation…

Materials Science · Physics 2015-05-19 Zhi-Feng Huang , K. R. Elder , Nikolas Provatas

We present a computational framework for piecewise constant functions (PCFs) and use this for several types of computations that are useful in statistics, e.g., averages, similarity matrices, and so on. We give a linear-time,…

Computation · Statistics 2024-04-11 Björn H. Wehlin

The field of remote sensing is nowadays faced with huge amounts of data. While this offers a variety of exciting research opportunities, it also yields significant challenges regarding both computation time and space requirements. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-06 Malte von Mehren , Fabian Gieseke , Jan Verbesselt , Sabina Rosca , Stéphanie Horion , Achim Zeileis

Graphics Processing Units (GPUs) support dynamic voltage and frequency scaling (DVFS) in order to balance computational performance and energy consumption. However, there still lacks simple and accurate performance estimation of a given GPU…

Performance · Computer Science 2018-06-14 Qiang Wang , Xiaowen Chu

The emergence of latency-critical AI applications has been supported by the evolution of the edge computing paradigm. However, edge solutions are typically resource-constrained, posing reliability challenges due to heightened contention for…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-05 Shreshth Tuli , Giuliano Casale , Ludmila Cherkasova , Nicholas R. Jennings

The emergence of artificial intelligence (AI) accelerators like NVIDIA Tensor Cores offers new opportunities to speed up tensor-heavy scientific computations. However, applying them to quantum chemistry is challenging due to strict accuracy…

Chemical Physics · Physics 2026-04-20 Hua Huang , Wenkai Shao , Jeff Hammond

We focus on the problem of estimating the change in the dependency structures of two $p$-dimensional Gaussian Graphical models (GGMs). Previous studies for sparse change estimation in GGMs involve expensive and difficult non-smooth…

Machine Learning · Computer Science 2018-05-24 Beilun Wang , Arshdeep Sekhon , Yanjun Qi

Excited vector mesons, some of which are predicted to include gluonic excitation in their wavefunctions, and certain classes of axial vector mesons, some of which are implicated in the decay of spin-exotic mesons, decay dominantly to…

Nuclear Experiment · Physics 2023-10-23 Amy M. Schertz

The issue of synchronization in the power grid is receiving renewed attention, as new energy sources with different dynamics enter the picture. Global metrics have been proposed to evaluate performance and analyzed under highly simplified…

Systems and Control · Computer Science 2019-05-20 Fernando Paganini , Enrique Mallada

Approximately 18 percent of the 3.2 million smartphone applications rely on integrated graphics processing units (GPUs) to achieve competitive performance. Graphics performance, typically measured in frames per second, is a strong function…

Systems and Control · Electrical Eng. & Systems 2020-06-14 Ujjwal Gupta , Manoj Babu , Raid Ayoub , Michael Kishinevsky , Francesco Paterna , Suat Gumussoy , Umit Ogras

We report on a global CKM matrix analysis taking into account most recent experimental and theoretical results. The statistical framework (Rfit) developed in this paper advocates formal frequentist statistics. Other approaches, such as…

High Energy Physics - Phenomenology · Physics 2010-05-28 A. Hocker , H. Lacker , S. Laplace , F. Le Diberder

The Fortran code SDECAY calculates the decay widths and branching ratios of all supersymmetric (SUSY) particles in the Minimal Supersymmetric Standard Model (MSSM), including higher order effects. The usual two-body decays of sfermions and…

High Energy Physics - Phenomenology · Physics 2007-05-23 M. Muhlleitner

Parameter-efficient fine-tuning (PEFT) provides a scalable alternative to full-model adaptation by updating only a small subset of parameters in large pre-trained models. We introduce GRASP - GRouped Activation Shared Parameterization - a…

Machine Learning · Computer Science 2026-01-01 Malyaban Bal , Abhronil Sengupta

A new molecular simulation toolkit composed of some lately developed force fields and specified models is presented to study the self-assembly, phase transition, and other properties of polymeric systems at mesoscopic scale by utilizing the…

Computational Physics · Physics 2013-10-10 You-Liang Zhu , Hong Liu , Zhan-Wei Li , Hu-Jun Qian , Giuseppe Milano , Zhong-Yuan Lu

Utilizing the dataset corresponding to an integrated luminosity of $2.93$ fb$^{-1}$ at $\sqrt{s}=3.773$ GeV collected by the BESIII detector, we report the first amplitude analysis and branching fraction measurement of the $D^0\rightarrow…

High Energy Physics - Experiment · Physics 2019-06-05 BESIII Collaboration , M. Ablikim , M. N. Achasov , P. Adlarson , S. Ahmed , M. Albrecht , M. Alekseev , A. Amoroso , F. F. An , Q. An , Y. Bai , O. Bakina , R. Baldini Ferroli , I. Balossino Balossino , Y. Ban , K. Begzsuren , J. V. Bennett , N. Berger , M. Bertani , D. Bettoni , F. Bianchi , J Biernat , J. Bloms , I. Boyko , R. A. Briere , H. Cai , X. Cai , A. Calcaterra , G. F. Cao , N. Cao , S. A. Cetin , J. Chai , J. F. Chang , W. L. Chang , G. Chelkov , D. Y. Chen , G. Chen , H. S. Chen , J. C. Chen , M. L. Chen , S. J. Chen , Y. B. Chen , W. Cheng , G. Cibinetto , F. Cossio , X. F. Cui , H. L. Dai , J. P. Dai , X. C. Dai , A. Dbeyssi , D. Dedovich , Z. Y. Deng , A. Denig , I. Denysenko , M. Destefanis , F. De Mori , Y. Ding , C. Dong , J. Dong , L. Y. Dong , M. Y. Dong , Z. L. Dou , S. X. Du , J. Z. Fan , J. Fang , S. S. Fang , Y. Fang , R. Farinelli , L. Fava , F. Feldbauer , G. Felici , C. Q. Feng , M. Fritsch , C. D. Fu , Y. Fu , Q. Gao , X. L. Gao , Y. Gao , Y. Gao , Y. G. Gao , Z. Gao , B. Garillon , I. Garzia , E. M. Gersabeck , A. Gilman , K. Goetzen , L. Gong , W. X. Gong , W. Gradl , M. Greco , L. M. Gu , M. H. Gu , S. Gu , Y. T. Gu , A. Q. Guo , L. B. Guo , R. P. Guo , Y. P. Guo , A. Guskov , S. Han , X. Q. Hao , F. A. Harris , K. L. He , F. H. Heinsius , T. Held , Y. K. Heng , M. Himmelreich , Y. R. Hou , Z. L. Hou , H. M. Hu , J. F. Hu , T. Hu , Y. Hu , G. S. Huang , J. S. Huang , X. T. Huang , X. Z. Huang , N. Huesken , T. Hussain , W. Ikegami Andersson , W. Imoehl , M. Irshad , Q. Ji , Q. P. Ji , X. B. Ji , X. L. Ji , H. L. Jiang , X. S. Jiang , X. Y. Jiang , J. B. Jiao , Z. Jiao , D. P. Jin , S. Jin , Y. Jin , T. Johansson , N. Kalantar-Nayestanaki , X. S. Kang , R. Kappert , M. Kavatsyuk , B. C. Ke , I. K. Keshk , A. Khoukaz , P. Kiese , R. Kiuchi , R. Kliemt , L. Koch , O. B. Kolcu , B. Kopf , M. Kuemmel , M. Kuessner , A. Kupsc , M. Kurth , M. G. Kurth , W. Kühn , J. S. Lange , P. Larin , L. Lavezzi , H. Leithoff , T. Lenz , C. Li , Cheng Li , D. M. Li , F. Li , F. Y. Li , G. Li , H. B. Li , H. J. Li , J. C. Li , J. W. Li , Ke Li , L. K. Li , Lei Li , P. L. Li , P. R. Li , Q. Y. Li , W. D. Li , W. G. Li , X. H. Li , X. L. Li , X. N. Li , Z. B. Li , Z. Y. Li , H. Liang , H. Liang , Y. F. Liang , Y. T. Liang , G. R. Liao , L. Z. Liao , J. Libby , C. X. Lin , D. X. Lin , Y. J. Lin , B. Liu , B. J. Liu , C. X. Liu , D. Liu , D. Y. Liu , F. H. Liu , Fang Liu , Feng Liu , H. B. Liu , H. M. Liu , Huanhuan Liu , Huihui Liu , J. B. Liu , J. Y. Liu , K. Y. Liu , Ke Liu , L. Y. Liu , Q. Liu , S. B. Liu , T. Liu , X. Liu , X. Y. Liu , Y. B. Liu , Z. A. Liu , Zhiqing Liu , Y. F. Long , X. C. Lou , H. J. Lu , J. D. Lu , J. G. Lu , Y. Lu , Y. P. Lu , C. L. Luo , M. X. Luo , P. W. Luo , T. Luo , X. L. Luo , S. Lusso , X. R. Lyu , F. C. Ma , H. L. Ma , L. L. Ma , M. M. Ma , Q. M. Ma , X. N. Ma , X. X. Ma , X. Y. Ma , Y. M. Ma , F. E. Maas , M. Maggiora , S. Maldaner , S. Malde , Q. A. Malik , A. Mangoni , Y. J. Mao , Z. P. Mao , S. Marcello , Z. X. Meng , J. G. Messchendorp , G. Mezzadri , J. Min , T. J. Min , R. E. Mitchell , X. H. Mo , Y. J. Mo , C. Morales Morales , N. Yu. Muchnoi , H. Muramatsu , A. Mustafa , S. Nakhoul , Y. Nefedov , F. Nerling , I. B. Nikolaev , Z. Ning , S. Nisar , S. L. Niu , S. L. Olsen , Q. Ouyang , S. Pacetti , Y. Pan , M. Papenbrock , P. Patteri , M. Pelizaeus , H. P. Peng , K. Peters , J. Pettersson , J. L. Ping , R. G. Ping , A. Pitka , R. Poling , V. Prasad , M. Qi , T. Y. Qi , S. Qian , C. F. Qiao , N. Qin , X. P. Qin , X. S. Qin , Z. H. Qin , J. F. Qiu , S. Q. Qu , K. H. Rashid , C. F. Redmer , M. Richter , A. Rivetti , V. Rodin , M. Rolo , G. Rong , Ch. Rosner , M. Rump , A. Sarantsev , M. Savrié , K. Schoenning , W. Shan , X. Y. Shan , M. Shao , C. P. Shen , P. X. Shen , X. Y. Shen , H. Y. Sheng , X. Shi , X. D Shi , J. J. Song , Q. Q. Song , X. Y. Song , S. Sosio , C. Sowa , S. Spataro , F. F. Sui , G. X. Sun , J. F. Sun , L. Sun , S. S. Sun , X. H. Sun , Y. J. Sun , Y. K Sun , Y. Z. Sun , Z. J. Sun , Z. T. Sun , Y. T Tan , C. J. Tang , G. Y. Tang , X. Tang , V. Thoren , B. Tsednee , I. Uman , B. Wang , B. L. Wang , C. W. Wang , D. Y. Wang , H. H. Wang , K. Wang , L. L. Wang , L. S. Wang , M. Wang , M. Z. Wang , Meng Wang , P. L. Wang , R. M. Wang , W. P. Wang , X. Wang , X. F. Wang , X. L. Wang , Y. Wang , Y. Wang , Y. F. Wang , Z. Wang , Z. G. Wang , Z. Y. Wang , Zongyuan Wang , T. Weber , D. H. Wei , P. Weidenkaff , H. W. Wen , S. P. Wen , U. Wiedner , G. Wilkinson , M. Wolke , L. H. Wu , L. J. Wu , Z. Wu , L. Xia , Y. Xia , S. Y. Xiao , Y. J. Xiao , Z. J. Xiao , Y. G. Xie , Y. H. Xie , T. Y. Xing , X. A. Xiong , Q. L. Xiu , G. F. Xu , J. J. Xu , L. Xu , Q. J. Xu , W. Xu , X. P. Xu , F. Yan , L. Yan , W. B. Yan , W. C. Yan , Y. H. Yan , H. J. Yang , H. X. Yang , L. Yang , R. X. Yang , S. L. Yang , Y. H. Yang , Y. X. Yang , Yifan Yang , Z. Q. Yang , M. Ye , M. H. Ye , J. H. Yin , Z. Y. You , B. X. Yu , C. X. Yu , J. S. Yu , C. Z. Yuan , X. Q. Yuan , Y. Yuan , A. Yuncu , A. A. Zafar , Y. Zeng , B. X. Zhang , B. Y. Zhang , C. C. Zhang , D. H. Zhang , H. H. Zhang , H. Y. Zhang , J. Zhang , J. L. Zhang , J. Q. Zhang , J. W. Zhang , J. Y. Zhang , J. Z. Zhang , K. Zhang , L. Zhang , S. F. Zhang , T. J. Zhang , X. Y. Zhang , Y. Zhang , Y. H. Zhang , Y. T. Zhang , Yang Zhang , Yao Zhang , Yi Zhang , Yu Zhang , Z. H. Zhang , Z. P. Zhang , Z. Y. Zhang , G. Zhao , J. W. Zhao , J. Y. Zhao , J. Z. Zhao , Lei Zhao , Ling Zhao , M. G. Zhao , Q. Zhao , S. J. Zhao , T. C. Zhao , Y. B. Zhao , Z. G. Zhao , A. Zhemchugov , B. Zheng , J. P. Zheng , Y. Zheng , Y. H. Zheng , B. Zhong , L. Zhou , L. P. Zhou , Q. Zhou , X. Zhou , X. K. Zhou , X. R. Zhou , Xiaoyu Zhou , Xu Zhou , A. N. Zhu , J. Zhu , J. Zhu , K. Zhu , K. J. Zhu , S. H. Zhu , W. J. Zhu , X. L. Zhu , Y. C. Zhu , Y. S. Zhu , Z. A. Zhu , J. Zhuang , B. S. Zou , J. H. Zou

Physical computing is a technology utilizing the nature of electronic devices and circuit topology to cope with computing tasks. In this paper, we propose an active circuit network to implement multi-scale Gaussian filter, which is also…

Computer Vision and Pattern Recognition · Computer Science 2014-08-12 Yi Li , Qi Wei , Fei Qiao , Huazhong Yang