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The hunt for dark matter remains one of the principal objectives of modern physics and cosmology. Searches for dark matter in the form of axions are proposed or underway across a range of experimental collaborations. As we look to the next…

High Energy Physics - Phenomenology · Physics 2022-05-04 J. I. McDonald

Simplified models of the dark matter (co)annihilation mechanism predict striking new collider signatures untested by current searches. These models, which were codified in the coannihilation codex, provide the basis for a dark matter (DM)…

High Energy Physics - Phenomenology · Physics 2016-10-12 Malte Buschmann , Sonia El Hedri , Anna Kaminska , Jia Liu , Maikel de Vries , Xiao-Ping Wang , Felix Yu , Jose Zurita

Micro-pattern gaseous detectors (MPGDs) are a class of technologies that enable the full three-dimensional spatial reconstruction of ionisation tracks from nuclear and electron recoils in gas. Anticipating near-future 30 m$^3$-scale time…

High Energy Physics - Phenomenology · Physics 2025-12-11 Anirudh Chandra Shekar , Chiara Lisotti , Nityasa Mishra , Ciaran A. J. O'Hare , Louis E. Strigari

We propose a novel method to determine the mass scale of ambient dark matter, applicable to (at least effectively) two-dimensional direct detection experiments that allow for directionality observables. Due to the motion of the solar system…

High Energy Physics - Phenomenology · Physics 2026-04-22 Daeyeong Jeong , Doojin Kim , Jong-Chul Park

Dark matter detection experiments using liquid argon rely on a precise characterization of the ionization response to nuclear recoils, especially in the keV energy range relevant for light dark matter interactions. In this work, we present…

High Energy Physics - Experiment · Physics 2026-05-14 F. Acerbi , P. Adhikari , P. Agnes , I. Ahmad , S. Albergo , I. F. Albuquerque , T. Alexander , A. K. Alton , P. Amaudruz , M. Angiolilli , E. Aprile , M. Atzori Corona , D. J. Auty , M. Ave , I. C. Avetisov , O. Azzolini , H. O. Back , Z. Balmforth , A. I. Barrado Olmedo , P. Barrillon , G. Batignani , S. Bharat , P. Bhowmick , S. Blua , V. Bocci , W. Bonivento , B. Bottino , M. G. Boulay , T. Braun , A. Buchowicz , S. Bussino , J. Busto , M. Cadeddu , R. Calabrese , V. Camillo , A. Caminata , N. Canci , M. Caravati , M. Cárdenas-Montes , N. Cargioli , M. Carlini , P. Cavalcante , S. Cebrian , S. Chashin , A. Chepurnov , S. Choudhary , L. Cifarelli , B. Cleveland , Y. Coadou , I. Coarasa , V. Cocco , E. Conde Vilda , L. Consiglio , A. F. V. Cortez , B. S. Costa , M. Czubak , S. D'Auria , M. D. Da Rocha Rolo , A. Dainty , G. Darbo , S. Davini , R. de Asmundis , S. De Cecco , M. De Napoli , G. Dellacasa , A. V. Derbin , L. Di Noto , P. Di Stefano , L. K. Dias , D. Díaz Mairena , C. Dionisi , G. Dolganov , F. Dordei , V. Dronik , A. Elersich , T. Erjavec , N. Fearon , M. Fernández Díaz , L. Ferro , A. Ficorella , G. Fiorillo , D. Fleming , P. Franchini , D. Franco , H. Frandini Gatti , E. Frolov , F. Gabriele , D. Gahan , C. Galbiati , G. Galiński , G. Gallina , M. Garbini , P. Garcia Abia , A. Gawdzik , G. K. Giovanetti , V. Goicoechea Casanueva , A. Gola , L. Grandi , G. Grauso , G. Grilli di Cortona , A. Grobov , M. Gromov , J. Guerrero Cánovas , M. Gulino , B. R. Hackett , A. L. Hallin , M. Haranczyk , B. Harrop , T. Hessel , C. Hidalgo , J. Hollingham , J. Hu , F. Hubaut , D. Huff , T. Hugues , E. V. Hungerford , An. Ianni , V. Ippolito , A. Jamil , C. Jillings , R. Keloth , N. Kemmerich , M. Kimura , A. Klenin , K. Kondo , G. Korga , L. Kotsiopoulou , S. Koulosousas , A. Kubankin , P. Kunzé , M. Kuss , M. Kuźniak , M. Kuzwa , M. La Commara , M. Lai , E. Le Guirriec , E. Leason , A. Leoni , L. Lidey , J. Lipp , M. Lissia , L. Luzzi , O. Lychagina , O. Macfadyen , I. Machts , I. N. Machulin , S. Manecki , I. Manthos , L. Mapelli , A. Marasciulli , S. M. Mari , C. Mariani , J. Maricic , M. Martinez , C. J. Martoff , G. Matteucci , K. Mavrokoridis , A. B. McDonald , S. Merzi , A. Messina , R. Milincic , S. Minutoli , A. Mitra , J. Monroe , M. Morrocchi , A. Morsy , V. N. Muratova , M. Murra , P. Musico , R. Nania , M. Nessi , G. Nieradka , K. Nikolopoulos , E. Nikoloudaki , I. Nikulin , J. Nowak , K. Olchanski , A. Oleinik , V. Oleynikov , P. Organtini , A. Ortiz de Solórzano , A. Padmanabhan , M. Pallavicini , L. Pandola , E. Pantic , E. Paoloni , D. Papi , B. Park , G. Pastuszak , G. Paternoster , R. Pavarani , A. Peck , K. Pelczar , R. Perez , V. Pesudo , S. Piacentini , N. Pino , G. Plante , A. Pocar , S. Pordes , P. Pralavorio , E. Preosti , D. Price , M. Pronesti , S. Puglia , M. Queiroga Bazetto , F. Raffaelli , F. Ragusa , Y. Ramachers , A. Ramirez , S. Ravinthiran , M. Razeti , A. L. Renshaw , A. Repond , M. Rescigno , S. Resconi , F. Retiere , L. P. Rignanese , A. Ritchie-Yates , A. Rivetti , A. Roberts , C. Roberts , G. Rogers , L. Romero , M. Rossi , D. Rudik , J. Runge , M. A. Sabia , D. Sablone , P. Salomone , O. Samoylov , S. Sanfilippo , D. Santone , R. Santorelli , E. M. Santos , I. Sargeant , M. L. Sarsa , C. Savarese , E. Scapparone , F. G. Schuckman , D. A. Semenov , C. Seoane , M. Sestu , V. Shalamova , S. Sharma Poudel , A. Sheshukov , M. Simeone , P. Skensved , M. D. Skorokhvatov , O. Smirnov , T. Smirnova , B. Smith , F. Spadoni , M. Spangenberg , A. Steri , V. Stornelli , S. Stracka , A. Sung , C. Sunny , Y. Suvorov , A. M. Szelc , O. Taborda , R. Tartaglia , A. Taylor , J. Taylor , G. Testera , K. Thieme , A. Thompson , S. Torres-Lara , A. Tricomi , S. Tullio , E. V. Unzhakov , M. Van Uffelen , P. Ventura , G. Vera Díaz , S. Viel , A. Vishneva , R. B. Vogelaar , J. Vossebeld , B. Vyas , M. Wada , M. Walczak , Y. Wang , S. Westerdale , L. Williams , M. M. Wojcik , M. Wojcik , C. Yang , J. Yin , A. Zabihi , P. Zakhary , A. Zani , Y. Zhang , T. Zhu , A. Zichichi , G. Zuzel , M. P. Zykova

mmWave radar has been shown as an effective sensing technique in low visibility, smoke, dusty, and dense fog environment. However tapping the potential of radar sensing to reconstruct 3D object shapes remains a great challenge, due to the…

Image and Video Processing · Electrical Eng. & Systems 2021-08-29 Yue Sun , Zhuoming Huang , Honggang Zhang , Zhi Cao , Deqiang Xu

MadDM is an automated numerical tool for the computation of dark-matter observables for generic new physics models. We announce version 3.1 and summarize its features. Notably, the code goes beyond the mere cross-section computation for…

High Energy Physics - Phenomenology · Physics 2020-12-17 Chiara Arina , Jan Heisig , Fabio Maltoni , Luca Mantani , Daniele Massaro , Olivier Mattelaer , Gopolang Mohlabeng

We investigate the direct detection phenomenology of a class of dark matter (DM) models in which DM does not directly interact with nuclei, {but rather} the products of its annihilation do. When these annihilation products are very light…

High Energy Physics - Phenomenology · Physics 2015-06-17 John F. Cherry , Mads T. Frandsen , Ian M. Shoemaker

The accurate detection of small deviations in given density matrices is important for quantum information processing. Here we propose a new method based on the concept of data mining. We demonstrate that the proposed method can more…

Quantum Physics · Physics 2015-06-18 Satoshi Hara , Takafumi Ono , Ryo Okamoto , Takashi Washio , Shigeki Takeuchi

We extend the formalism of dark matter directional detection to arbitrary one-body dark matter-nucleon interactions. The new theoretical framework generalizes the one currently used, which is based on 2 types of dark matter-nucleon…

High Energy Physics - Phenomenology · Physics 2015-08-06 Riccardo Catena

For dark matter (DM) direct detections, the kinematic effects such as those of the inelastic scattering can play important role in light DM searches. The light DM detection is generally difficult because of its small recoil energy. But the…

High Energy Physics - Phenomenology · Physics 2024-10-02 Hong-Jian He , Yu-Chen Wang , Jiaming Zheng

In this paper, as the second part of the third step of our study on developing data analysis procedures for using 3-dimensional information offered by directional direct Dark Matter detection experiments in the future, we investigate the…

High Energy Physics - Phenomenology · Physics 2021-03-12 Chung-Lin Shan

The encoding of the target in object tracking moves from the coarse bounding-box to fine-grained segmentation map recently. Revisiting de facto real-time approaches that are capable of predicting mask during tracking, we observed that they…

Computer Vision and Pattern Recognition · Computer Science 2021-11-03 Zhipeng Zhang , Bing Li , Weiming Hu , Houwen Peng

Direct detection of dark matter with directional sensitivity has the potential to discriminate the dark matter velocity distribution. Especially, it will be suitable to discriminate isotropic distribution from anisotropic one. Analyzing…

Instrumentation and Methods for Astrophysics · Physics 2018-05-08 Keiko I. Nagao

A semianalytic method to estimate the angular resolution of tracks, that have been reconstructed by a likelihood approach, is presented. The optimal choice of coordinate systems and resolution parameters, as well as tests of the method are…

Astrophysics · Physics 2009-11-10 Till Neunhöffer

We show that current and imminent underground detectors are capable of precision astrometry of dark matter. First we show that galactic dark matter velocity distributions can be obtained from reconstructed tracks of dark matter scattering…

High Energy Physics - Phenomenology · Physics 2019-12-25 Joseph Bramante , Jason Kumar , Nirmal Raj

In the past decades, several detector technologies have been developed with the quest to directly detect dark matter interactions and to test one of the most important unsolved questions in modern physics. The sensitivity of these…

Instrumentation and Detectors · Physics 2017-04-04 Teresa Marrodan Undagoitia , Ludwig Rauch

The aim of the MIMAC project is to detect non-baryonic Dark Matter with a directional TPC. The recent Micromegas efforts towards building a large size detector will be described, in particular the characterization measurements of a…

Motivated by the current interest in employing quantum sensors on Earth and in space to conduct searches for new physics, we provide a perspective on the suitability of large-mass levitated optomechanical systems for observing dark matter…

Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving. Approaches to monocular 3D perception including detection and tracking, however, often yield inferior…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Longlong Jing , Ruichi Yu , Henrik Kretzschmar , Kang Li , Charles R. Qi , Hang Zhao , Alper Ayvaci , Xu Chen , Dillon Cower , Yingwei Li , Yurong You , Han Deng , Congcong Li , Dragomir Anguelov
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