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In this paper we report on a detailed study of ionization signals produced by Compton electrons and alpha-particles in a Time Projection Chamber (TPC) flled with different mixtures of liquid Argon and Nitrogen. The measurements were carried…

Instrumentation and Detectors · Physics 2011-03-28 M. Zeller , I. Badhrees , S. Delaquis , A. Ereditato , S. Janos , I. Kreslo , M. Messina , U. Moser , B. Rossi

As liquid xenon TPCs increase in target mass while pursuing the direct detection of WIMP dark matter, the technical challenges arising due to their size call for new solutions and open the discussion on alternative detector concepts.…

Instrumentation and Detectors · Physics 2022-04-14 Fabian Kuger , Julia Dierle , Horst Fischer , Marc Schumann , Francesco Toschi

Tracking capabilities in Time Projection Chambers (TPCs) are strongly dictated by the homogeneity of the drift field. Ion back-flow in various gas detectors, mainly induced by the secondary ionization processes during amplification, has…

Particle transport, acceleration and energisation are phenomena of major importance for both space and laboratory plasmas. Despite years of study, an accurate theoretical description of these effects is still lacking. Validating models with…

A procedure is presented to estimate the diffusion coefficient of a uniform patch of argon gas in a uniform background of helium gas. Molecular Dynamics (MD) simulations of the two gases interacting through the Lennard-Jones potential are…

Numerical Analysis · Mathematics 2026-05-12 Isaac Viviano

Liquid Argon Time Projection Chamber (LAr TPC) detectors are ideally suited for studying neutrino interactions and probing the parameters that characterize neutrino oscillations. The ability to drift ionization particles over long distances…

Instrumentation and Detectors · Physics 2010-02-04 M. Soderberg

We present a model including diffusion and particle-size dispersion for separation of particles in deterministic lateral displacement devices also known as bumper arrays. We determine the upper critical diameter for diffusion-dominated…

Fluid Dynamics · Physics 2009-01-20 Martin Heller , Henrik Bruus

Machine learning is becoming increasingly important for nonlinear system identification, including dynamical systems with spatially distributed outputs. However, classical identification and forecasting approaches become markedly less…

Systems and Control · Electrical Eng. & Systems 2026-04-21 Achraf El Messaoudi , Noureddine Khaous , Karim Cherifi

Drift-diffusion plasma fluid models are commonly used to simulate electric discharges. Such models can computationally be very efficient if they are combined with explicit time integration. This paper deals with two issues that often arise…

Computational Physics · Physics 2020-02-19 Jannis Teunissen

A fundamental limit to the application of Time Projection Chambers (TPCs) in high-rate experiments is the accumulation of slowly drifting ions in the active gas volume, which compromises the homogeneity of the drift field and hence the…

Instrumentation and Detectors · Physics 2012-09-05 F. V. Böhmer , M. Ball , S. Dørheim , C. Höppner , B. Ketzer , I. Konorov , S. Neubert , S. Paul , J. Rauch , M. Vandenbroucke

We present a real-time anomaly detection framework for liquid argon time projection chambers (LArTPCs), targeting applications in particle physics experiments such as the Short Baseline Near Detector or the future Deep Underground Neutrino…

High Energy Physics - Experiment · Physics 2026-05-28 Seokju Chung , Jack Cleeve , Akshay Malige , Georgia Karagiorgi , Lino Gerlach , Adrian A. Pol , Isobel Ojalvo

The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution of ionization charge deposited on the wire planes of the TPC, especially for the induction…

Instrumentation and Detectors · Physics 2023-02-17 MicroBooNE collaboration , R. Acciarri , C. Adams , R. An , J. Anthony , J. Asaadi , M. Auger , L. Bagby , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , M. Bass , F. Bay , M. Bishai , A. Blake , T. Bolton , B. Bullard , L. Camilleri , D. Caratelli , B. Carls , R. Castillo Fernandez , F. Cavanna , H. Chen , E. Church , D. Cianci , E. Cohen , G. H. Collin , J. M. Conrad , M. Convery , J. I. Crespo-Anadon , G. De Geronimo , M. Del Tutto , D. Devitt , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. Esquivel , A. A. Fadeeva , B. T. Fleming , W. Foreman , A. P. Furmanski , D. Garcia-Gamez , G. T. Garvey , V. Genty , D. Goeldi , S. Gollapinni , N. Graf , E. Gramellini , H. Greenlee , R. Grosso , R. Guenette , A. Hackenburg , P. Hamilton , O. Hen , V Hewes , C. Hill , J. Ho , G. Horton-Smith , A. Hourlier , E. -C. Huang , C. James , J. Jan de Vries , C. -M. Jen , L. Jiang , R. A. Johnson , J. Joshi , H. Jostlein , D. Kaleko , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , A. Laube , S. Li , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , C. Mariani , J. Marshall , D. A. Martinez Caicedo , V. Meddage , T. Miceli , G. B. Mills , J. Moon , M. Mooney , C. D. Moore , J. Mousseau , R. Murrells , D. Naples , P. Nienaber , J. Nowak , O. Palamara , V. Paolone , V. Papavassiliou , S. F. Pate , Z. Pavlovic , E. Piasetzky , D. Porzio , G. Pulliam , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , S. Rescia , L. Rochester , C. Rudolf von Rohr , B. Russell , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , J. St. John , T. Strauss , A. M. Szelc , N. Tagg , K. Terao , M. Thomson , C. Thorn , M. Toups , Y. -T. Tsai , S. Tufanli , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , D. A. Wickremasinghe , S. Wolbers , T. Wongjirad , K. Woodruff , T. Yang , L. Yates , B. Yu , G. P. Zeller , J. Zennamo , C. Zhang

We investigate a deep learning-based signal processing for liquid argon time projection chambers (LArTPCs), a leading detector technology in neutrino physics. Identifying regions of interest (ROIs) in LArTPCs is challenging due to signal…

Instrumentation and Detectors · Physics 2025-10-30 Avinay Bhat , Mun Jung Jung , Gray Putnam , Haiwang Yu

The Liquid Argon Time Projection Chamber (LAr-TPC) detectors provide excellent imaging and particle identification ability for studying neutrinos. An efficient and automatic reconstruction procedures are required to exploit potential of…

Computer Vision and Pattern Recognition · Computer Science 2015-03-02 Piotr Płoński , Dorota Stefan , Robert Sulej , Krzysztof Zaremba

Different techniques of the X-ray Diffraction Line Profile Analysis (XRDLPA) have been used to assess the microstructure of the irradiated Zr-1.0%Nb-1.0%Sn-0.1%Fe alloy. The domain size, microstrain, density of dislocation and the stacking…

Materials Science · Physics 2007-05-23 A. Sarkar , P. Mukherjee , P. Barat

Bulk matter produced in heavy ion collisions has multiple conserved quantum numbers like baryon number, strangeness and electric charge. The diffusion process of these charges can be described by a diffusion matrix describing the…

Nuclear Theory · Physics 2022-08-31 Arpan Das , Hiranmaya Mishra , Ranjita K. Mohapatra

Liquid Argon Time Projection Chamber detectors are well suited to study neutrino interactions, and are an intriguing option for future massive detectors capable of measuring the parameters that characterize neutrino oscillations. These…

Instrumentation and Detectors · Physics 2010-02-10 M. Soderberg

The Liquid Argon Time Projection Chamber (LArTPC) is an advanced neutrino detector technology widely used in recent and upcoming accelerator neutrino experiments. It features a low energy threshold and high spatial resolution that allow for…

Instrumentation and Detectors · Physics 2021-03-24 Haiwang Yu , Mary Bishai , Wenqiang Gu , Meifeng Lin , Xin Qian , Yihui Ren , Andrea Scarpelli , Brett Viren , Hanyu Wei , Hongzhao Yu , Kwang Min Yu , Chao Zhang

Solid-state electrolytes with argyrodite structures, such as $\mathrm{Li_6PS_5Cl}$, have attracted considerable attention due to their superior safety compared to liquid electrolytes and higher ionic conductivity than other solid…

Materials Science · Physics 2023-10-31 Jiho Lee , Suyeon Ju , Seungwoo Hwang , Jinmu You , Jisu Jung , Youngho Kang , Seungwu Han

The increased model capacity of Diffusion Transformers (DiTs) and the demand for generating higher resolutions of images and videos have led to a significant rise in inference latency, impacting real-time performance adversely. While prior…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Xibo Sun , Jiarui Fang , Aoyu Li , Jinzhe Pan