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Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underlying partons. Anapproach based on a generalized attention…

High Energy Physics - Experiment · Physics 2024-05-02 Michael James Fenton , Alexander Shmakov , Hideki Okawa , Yuji Li , Ko-Yang Hsiao , Shih-Chieh Hsu , Daniel Whiteson , Pierre Baldi

We introduce $Recursive~Jigsaw~Reconstruction$, a technique for analyzing reconstructed particle interactions in the presence of kinematic and combinatoric unknowns associated with unmeasured and indistinguishable particles, respectively.…

High Energy Physics - Phenomenology · Physics 2017-12-27 Paul Jackson , Christopher Rogan

Recent advancements in light field super-resolution (SR) have yielded impressive results. In practice, however, many existing methods are limited by assuming fixed degradation models, such as bicubic downsampling, which hinders their…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Zeyu Xiao , Zhiwei Xiong

The need to map parton-level processes to color-neutral hadrons in a way that respects quark-hadron duality arises in several areas of physics, including in the semileptonic decays of $B$ mesons. Integrated over large regions of phase…

High Energy Physics - Phenomenology · Physics 2026-03-30 Philipp Horak , Robert Kowalewski , Tommy Martinov

This paper presents a geometric analysis of the simultaneous blind deconvolution and phase retrieval (BDPR) problem via a structured low-rank tensor recovery framework. Due to the highly complicated structure of the associated sensing…

Signal Processing · Electrical Eng. & Systems 2025-09-16 Xiao Liang , Zhen Qin , Zhihui Zhu , Shuang Li

Calculations of properties of materials require performing numerical integrals over the Brillouin zone (BZ). Integration points in density functional theory codes are uniformly spread over the BZ (despite integration error being…

Materials Science · Physics 2022-01-25 Jeremy J. Jorgensen , John E. Christensen , Tyler J. Jarvis , Gus L. W. Hart

Despite the success of Deep Learning (DL) serious reliability issues such as non-robustness persist. An interesting aspect is, whether these problems arise due to insufficient tools or due to fundamental limitations of DL. We study this…

Signal Processing · Electrical Eng. & Systems 2024-01-19 Holger Boche , Adalbert Fono , Gitta Kutyniok

The goal of dynamic scene deblurring is to remove the motion blur in a given image. Typical learning-based approaches implement their solutions by minimizing the L1 or L2 distance between the output and the reference sharp image. Recent…

Image and Video Processing · Electrical Eng. & Systems 2022-04-05 Seungjun Nah , Sanghyun Son , Jaerin Lee , Kyoung Mu Lee

The e+e- annihilation data recorded with the BABAR detector has been used to study B^0 decays to Ds^(*)+ and D^*-$ mesons. The production fraction of inclusive Ds^(*)+ and the corresponding momentum spectra have been determined. Exclusive…

High Energy Physics - Experiment · Physics 2007-05-23 G. Vuagnin

Decompositional reconstruction of 3D scenes, with complete shapes and detailed texture of all objects within, is intriguing for downstream applications but remains challenging, particularly with sparse views as input. Recent approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Junfeng Ni , Yu Liu , Ruijie Lu , Zirui Zhou , Song-Chun Zhu , Yixin Chen , Siyuan Huang

The lack of evidence for Beyond Standard Model (BSM) particles might be due to their light mass and very weak interactions, as exemplified by BSM long-lived particles (LLPs). Such particles can be produced from $B$ or $D$ hadron decays.…

High Energy Physics - Phenomenology · Physics 2026-01-06 Biplob Bhattacherjee , Abhinav Kumar , Swagata Mukherjee , Rhitaja Sengupta , Anand Sharma

Image restoration tasks like deblurring, denoising, and dehazing usually need distinct models for each degradation type, restricting their generalization in real-world scenarios with mixed or unknown degradations. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Wenyang Luo , Haina Qin , Zewen Chen , Libin Wang , Dandan Zheng , Yuming Li , Yufan Liu , Bing Li , Weiming Hu

This paper focuses on the dataset-free Blind Image Super-Resolution (BISR). Unlike existing dataset-free BISR methods that focus on obtaining a degradation kernel for the entire image, we are the first to explicitly design a…

Image and Video Processing · Electrical Eng. & Systems 2024-07-12 Shaojie Guo , Haofei Song , Qingli Li , Yan Wang

The physics programme of the LHCb experiment at the Large Hadron Collider requires an efficient and precise reconstruction of the particle collision vertices. The LHCb Upgrade detector relies on a fully software-based trigger with an online…

Reconstructing an object solely from its scattered intensity distribution is a common problem that occurs in many applications. Currently, there are no efficient direct methods to reconstruct the object, though in many cases, with some…

Tau leptons serve as an important tool for studying the production of Higgs and electroweak bosons, both within and beyond the Standard Model of particle physics. Accurate reconstruction and identification of hadronically decaying tau…

High Energy Physics - Experiment · Physics 2024-12-23 Laurits Tani , Nalong-Norman Seeba , Hardi Vanaveski , Joosep Pata , Torben Lange

Doppler Broadening (DB) of annihilation radiation is a well-established technique within Positron Annihilation Spectroscopy (PAS), used for probing the electronic structure of materials. The analysis of DB experimental data relies on gamma…

Materials Science · Physics 2025-09-16 Achiya Yosef Amrusi , Sharon May-Tal Beck , Hadar Steinberg , Guy Ron

Inverse rendering seeks to recover 3D geometry, surface material, and lighting from captured images, enabling advanced applications such as novel-view synthesis, relighting, and virtual object insertion. However, most existing techniques…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Chih-Hao Lin , Jia-Bin Huang , Zhengqin Li , Zhao Dong , Christian Richardt , Tuotuo Li , Michael Zollhöfer , Johannes Kopf , Shenlong Wang , Changil Kim

The goal of the DARPA Automated Rapid Certification Of Software (ARCOS) program is to "automate the evaluation of software assurance evidence to enable certifiers to determine rapidly that system risk is acceptable." As part of this…

The beyond-diagonal reconfigurable intelligent surface (BD-RIS) is a recent architecture in which scattering elements are interconnected to enhance the degrees of freedom for wave control, yielding performance gains over traditional…

Signal Processing · Electrical Eng. & Systems 2026-03-17 Gilderlan Tavares de Araújo , André L. F. de Almeida , Buno Sokal , Gabor Fodor