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Uncertainty calibration in pre-trained transformers is critical for their reliable deployment in risk-sensitive applications. Yet, most existing pre-trained transformers do not have a principled mechanism for uncertainty propagation through…

Text-to-image (T2I) diffusion models lack an efficient mechanism for early quality assessment, leading to costly trial-and-error in multi-generation scenarios such as prompt iteration, agent-based generation, and flow-grpo. We reveal a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Benlei Cui , Bukun Huang , Zhizeng Ye , Xuemei Dong , Tuo Chen , Hui Xue , Dingkang Yang , Longtao Huang , Jingqun Tang , Haiwen Hong

The Time Projection Chamber is the main tracking and particle identification detector of the ALICE experiment. The high luminosities delivered by the CERN LHC in Run 2 (2015-2018) posed new challenges in terms of detector performance and…

Instrumentation and Detectors · Physics 2019-09-10 Ernst Hellbär

Understanding hydrogen diffusion is critical for improving the reliability and performance of oxide thin-film transistors (TFTs), where hydrogen plays a key role in carrier modulation and bias instability. In this work, we investigate…

We report the demonstration of a low-power pixelated readout system designed for three-dimensional ionization charge detection and digital readout of liquid argon time projection chambers (LArTPCs). Unambiguous 3D charge readout was…

Instrumentation and Detectors · Physics 2018-10-12 D. A. Dwyer , M. Garcia-Sciveres , D. Gnani , C. Grace , S. Kohn , M. Kramer , A. Krieger , C. J. Lin , K. B. Luk , P. Madigan , C. Marshall , H. Steiner , T. Stezelberger

The ionization signals in the liquid argon of the ATLAS electromagnetic calorimeter are studied in detail using cosmic muons. In particular, the drift time of the ionization electrons is measured and used to assess the intrinsic uniformity…

Instrumentation and Detectors · Physics 2015-05-18 The ATLAS Collaboration

This paper addresses the nonparametric estimation of the drift function over a compact domain for a time-homogeneous diffusion process, based on high-frequency discrete observations from $N$ independent trajectories. We propose a neural…

Machine Learning · Statistics 2026-04-01 Yuzhen Zhao , Yating Liu , Marc Hoffmann

We study the propogation and diffusion of electric charge fluctuations in high energy heavy ion collisions using the Cattaneo form for the dissipative part of the electric current. As opposed to the ordinary diffusion equation this form…

Nuclear Theory · Physics 2018-01-31 Joseph I. Kapusta , Christopher Plumberg

Molecular dynamics simulations are a powerful tool to study diffusion processes in battery electrolyte and electrode materials. From a single molecular dynamics simulation many properties relevant to diffusion can be obtained, including the…

Chemical Physics · Physics 2018-07-09 Niek J. J. de Klerk , Eveline van der Maas , Marnix Wagemaker

The bulk nuclear matter produced in heavy ion collisions carries a multitude of conserved quantum numbers: electric charge, baryon number, and strangeness. Therefore, the diffusion processes associated to these conserved charges cannot…

High Energy Physics - Phenomenology · Physics 2020-04-15 Jan A. Fotakis , Moritz Greif , Gabriel Denicol , Harri Niemi , Carsten Greiner

To simulate the transient enhanced diffusion near the surface or interface, a set of equations describing the impurity diffusion and quasichemical reactions of dopant atoms and point defects in ion-implanted layers is proposed and analyzed.…

Materials Science · Physics 2007-05-23 O. I. Velichko , Yu. P. Shaman , A. K. Fedotov , A. V. Masanik

In this paper we introduce a novel particle filter scheme for a class of partially-observed multivariate diffusions. %continuous-time dynamic models where the %signal is given by a multivariate diffusion process. We consider a variety of…

Methodology · Statistics 2007-10-24 Paul Fearnhead , Omiros Papaspiliopoulos , Gareth Roberts

The most common way of estimating the anomalous diffusion exponent from single-particle trajectories consists in a linear fitting of the dependence of the time averaged mean square displacement on the lag time at the log-log scale. However,…

Data Analysis, Statistics and Probability · Physics 2019-01-02 Yann Lanoiselée , Denis S. Grebenkov , Grzegorz Sikora , Aleksandra Grzesiek , Agnieszka Wyłomańska

Diffusion policies are competitive for offline reinforcement learning (RL) but are typically guided at sampling time by heuristics that lack a statistical notion of risk. We introduce LRT-Diffusion, a risk-aware sampling rule that treats…

Machine Learning · Computer Science 2026-02-20 Ximan Sun , Xiang Cheng

We develop a novel approach for a Time Projection Chamber (TPC) concept suitable for deployment in kilotonne scale detectors, with a charge-readout system free from reconstruction ambiguities, and a robust TPC design that reduces…

In order to characterize nuclear matter under extreme conditions, we calculate all diffusion transport coefficients related to baryon, electric and strangeness charge for both a hadron resonance gas and a simplified kinetic model of the…

High Energy Physics - Phenomenology · Physics 2018-06-15 Moritz Greif , Jan A. Fotakis , Gabriel S. Denicol , Carsten Greiner

MicroBooNE is an experiment designed to both probe neutrino physics phenomena and develop the LArTPC (Liquid Argon Time Projection Chamber) detector technology. The MicroBooNE experiment, which began taking data this year, is the first…

Instrumentation and Detectors · Physics 2015-11-06 Michael Mooney

We report the measurement of the longitudinal diffusion constant in liquid argon with the DarkSide-50 dual-phase time projection chamber. The measurement is performed at drift electric fields of 100 V/cm, 150 V/cm, and 200 V/cm using high…

Instrumentation and Detectors · Physics 2018-07-24 P. Agnes , I. F. M. Albuquerque , T. Alexander , A. K. Alton , D. M. Asner , M. P. Ave , H. O. Back , B. Baldin , G. Batignani , K. Biery , V. Bocci , G. Bonfini , W. Bonivento , M. Bossa , B. Bottino , F. Budano , S. Bussino , M. Cadeddu , M. Cadoni , F. Calaprice , A. Caminata , N. Canci , A. Candela , M. Caravati , M. Cariello , M. Carlini , M. Carpinelli , S. Catalanotti , V. Cataudella , P. Cavalcante , S. Cavuoti , A. Chepurnov , C. Cicalo , A. G. Cocco , G. Covone , D. D'Angelo , M. D'Incecco , D. D'Urso , S. Davini , A. De Candia , S. De Cecco , M. De Deo , G. De Filippis , G. De Rosa , M. De Vincenzi , P. Demontis , A. V. Derbin , A. Devoto , F. Di Eusanio , G. Di Pietro , C. Dionisi , E. Edkins , A. Fan , G. Fiorillo , K. Fomenko , D. Franco , F. Gabriele , A. Gabrieli , C. Galbiati , S. Giagu , C. Giganti , G. K. Giovanetti , A. M. Goretti , F. Granato , M. Gromov , M. Guan , Y. Guardinbcerri , M. Gulino , B. R. Hackett , K. Herner , D. Hughes , P. Humble , E. V. Hungerford , An. Ianni , I. James , T. N. Johnson , K. Keeter , C. L. Kendziora , G. Koh , D. Korablev , G. Korga , A. Kubankin , M. Kuss , X. Li , M. Lissia , B. Loer , G. Longo , Y. Ma , A. A. Machado , I. N. Machulin , A. Mandarano , S. M. Mari , J. Maricic , C. J. Martoff , A. Messina , P. D. Meyers , R. Milincic , A. Monte , M. Morrocchi , B. J. Mount , V. N. Muratova , P. Musico , A. Navrer Agasson , A. Nozdrina , A. Oleinik , M. Orsini , F. Ortica , L. Pagani , M. Pallavicini , L. Pandola , E. Pantic , E. Paoloni , F. Pazzona , K. Pelczar , N. Pelliccia , A. Pocar , S. Pordes , H. Qian , M. Razeti , A. Razeto , B. Reinhold , A. L. Renshaw , M. Rescigno , Q. Riffard , A. Romani , B. Rossi , N. Rossi , D. Sablone , O. Samoylov , W. Sands , S. Sanfilippo , M. Sant , C. Savarese , B. Schlitzer , E. Segreto , D. A. Semenov , A. Sheshukov , P. N. Singh , M. D. Skorokhvatov , O. Smirnov , A. Sotnikov , C. Stanford , G. B. Suffritti , Y. Suvorov , R. Tartaglia , G. Testera , A. Tonazzo , P. Trinchese , E. V. Unzhakov , M. Verducci , A. Vishneva , B. Vogelaar , M. Wada , T. J. Waldrop , S. Walker , H. Wang , Y. Wang , A. W. Watson , S. Westerdale , M. M. Wojcik , X. Xiang , X. Xiao , C. Yang , Z. Ye , C. Zhu , G. Zuzel

The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and…

Instrumentation and Detectors · Physics 2022-01-05 MicroBooNE collaboration , P. Abratenko , R. An , J. Anthony , J. Asaadi , A. Ashkenazi , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , V. Basque , L. Bathe-Peters , O. Benevides Rodrigues , S. Berkman , A. Bhanderi , A. Bhat , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , I. Caro Terrazas , R. Castillo Fernandez , F. Cavanna , G. Cerati , Y. Chen , E. Church , D. Cianci , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , S. R. Dennis , D. Devitt , R. Diurba , R. Dorrill , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , J. J. Evans , R. Fine , G. A. Fiorentini Aguirre , R. S. Fitzpatrick , B. T. Fleming , N. Foppiani , D. Franco , A. P. Furmanski , D. Garcia-Gamez , S. Gardiner , G. Ge , S. Gollapinni , O. Goodwin , E. Gramellini , P. Green , H. Greenlee , W. Gu , R. Guenette , P. Guzowski , L. Hagaman , E. Hall , P. Hamilton , O. Hen , G. A. Horton-Smith , A. Hourlier , R. Itay , C. James , X. Ji , L. Jiang , J. H. Jo , R. A. Johnson , Y. J. Jwa , N. Kamp , N. Kaneshige , G. Karagiorgi , W. Ketchum , M. Kirby , T. Kobilarcik , I. Kreslo , R. LaZur , I. Lepetic , K. Li , Y. Li , K. Lin , B. R. Littlejohn , W. C. Louis , X. Luo , K. Manivannan , C. Mariani , D. Marsden , J. Marshall , D. A. Martinez Caicedo , K. Mason , A. Mastbaum , N. McConkey , V. Meddage , T. Mettler , K. Miller , J. Mills , K. Mistry , T. Mohayai , A. Mogan , J. Moon , M. Mooney , A. F. Moor , C. D. Moore , L. Mora Lepin , J. Mousseau , M. Murphy , D. Naples , A. Navrer-Agasson , R. K. Neely , J. Nowak , M. Nunes , O. Palamara , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , A. Paudel , Z. Pavlovic , E. Piasetzky , I. Ponce-Pinto , S. Prince , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , M. Reggiani-Guzzo , L. Ren , L. C. J. Rice , L. Rochester , J. Rodriguez Rondon , H. E. Rogers , M. Rosenberg , M. Ross-Lonergan , G. Scanavini , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , R. Sharankova , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , P. Spentzouris , J. Spitz , M. Stancari , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , N. Tagg , W. Tang , K. Terao , C. Thorpe , D. Totani , M. Toups , Y. -T. Tsai , M. A. Uchida , T. Usher , W. Van De Pontseele , B. Viren , M. Weber , H. Wei , Z. Williams , S. Wolbers , T. Wongjirad , M. Wospakrik , N. Wright , W. Wu , E. Yandel , T. Yang , G. Yarbrough , L. E. Yates , G. P. Zeller , J. Zennamo , C. Zhang

Particle-in-cell (PIC) simulations were performed to study the impact of Coulomb scattering on the performance of argon plasma based thermionic converters. Using a simplified model, studies from the 1970's have concluded that plasma…

Plasma Physics · Physics 2022-11-08 Roelof E. Groenewald