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In this article we consider the estimation of static parameters for partially observed diffusion processes with discrete-time observations over a fixed time interval. In particular, when one only has access to time-discretized solutions of…

Methodology · Statistics 2025-09-26 Miguel Alvarez , Ajay Jasra

Noble element time projection chambers are a leading technology for rare event detection in physics, such as for dark matter and neutrinoless double beta decay searches. Time projection chambers typically assign event position in the drift…

High Energy Physics - Experiment · Physics 2024-03-19 J. Haefner , K. E. Navarro , R. Guenette , B. J. P. Jones , A. Tripathi , C. Adams , H. Almazán , V. Álvarez , B. Aparicio , A. I. Aranburu , L. Arazi , I. J. Arnquist , F. Auria-Luna , S. Ayet , C. D. R. Azevedo , K. Bailey , F. Ballester , M. del Barrio-Torregrosa , A. Bayo , J. M. BenllochRodríguez , F. I. G. M. Borges , A. Brodolin , N. Byrnes , S. Cárcel , J. V. Carrión , S. Cebrián , E. Church , L. Cid , C. A. N. Conde , T. Contreras , F. P. Cossío , E. Dey , G. Díaz , T. Dickel , M. Elorza , J. Escada , R. Esteve , R. Felkai , L. M. P. Fernandes , P. Ferrario , A. L. Ferreira , F. W. Foss , E. D. C. Freitas , Z. Freixa , J. Generowicz , A. Goldschmidt , J. J. Gómez-Cadenas , R. González , J. Grocott , K. Hafidi , J. Hauptman , C. A. O. Henriques , J. A. Hernando Morata , P. Herrero-Gómez , V. Herrero , C. Hervés Carrete , Y. Ifergan , L. Labarga , L. Larizgoitia , A. Larumbe , P. Lebrun , F. Lopez , N. López-March , R. Madigan , R. D. P. Mano , A. P. Marques , J. Martín-Albo , G. Martínez-Lema , M. Martínez-Vara , Z. E. Meziani , R. L. Miller , K. Mistry , J. Molina-Canteras , F. Monrabal , C. M. B. Monteiro , F. J. Mora , J. Muñoz Vidal , P. Novella , A. Nuñez , D. R. Nygren , E. Oblak , J. Palacio , B. Palmeiro , A. Para , I. Parmaksiz , J. Pelegrin , M. Pérez Maneiro , M. Querol , A. B. Redwine , J. Renner , I. Rivilla , J. Rodríguez , C. Rogero , L. Rogers , B. Romeo , C. Romo-Luque , F. P. Santos , J. M. F. dos Santos , I. Shomroni , A. Simón , S. R. Soleti , M. Sorel , J. Soto-Oton , J. M. R. Teixeira , J. F. Toledo , J. Torrent , A. Trettin , A. Usón , J. F. C. A. Veloso , J. Waiton , J. T. White

Ion diffusion is important in a variety of applications, yet fundamental understanding of the diffusive process in solids is still missing, especially considering the interaction of lattice vibrations (phonons) and the mobile species. In…

Materials Science · Physics 2020-12-02 Kiarash Gordiz , Sokseiha Muy , Wolfgang G. Zeier , Yang Shao-Horn , Asegun Henry

Discrete element method simulations of confined bidisperse granular shear flows elucidate the balance between diffusion and segregation that can lead to either mixed or segregated states, depending on confining pressure. Results indicate…

Soft Condensed Matter · Physics 2018-09-24 Alexander M. Fry , Paul B. Umbanhowar , Julio M. Ottino , Richard M. Lueptow

The $3 \times 1 \times 1$ m$^3$ demonstrator is a dual phase liquid argon time projection chamber that has recorded cosmic rays events in 2017 at CERN. The light signal in these detectors is crucial to provide precise timing capabilities.…

Instrumentation and Detectors · Physics 2021-03-24 B. Aimard , L. Aizawa , C. Alt , J. Asaadi , M. Auger , V. Aushev , D. Autiero , A. Balaceanu , G. Balik , L. Balleyguier , E. Bechetoille , D. Belver , A. M. Blebea-Apostu , S. Bolognesi , S. Bordoni , N. Bourgeois , B. Bourguille , J. Bremer , G. Brown , G. Brunetti , L. Brunetti , D. Caiulo , M. Calin , E. Calvo , M. Campanelli , K. Cankocak , C. Cantini , B. Carlus , B. M. Cautisanu , M. Chalifour , A. Chappuis , N. Charitonidis , A. Chatterjee , A. Chiriacescuf , P. Chiu , S. Conforti , P. Cotte , P. Crivelli , C. Cuesta , J. Dawson , I. De Bonis , C. De La Taille , A. Delbart , S. Di Luise , F. Doizon , C. Drancourt , D. Duchesneau , F. Dulucq , F. Duval , S. Emery , A. Ereditato , A. Falcone , K. Fusshoeller , A. Gallego-Ros , V. Galymov , N. Geffroy , A. Gendotti , A. Gherghel-Lascu , I. Gil-Botella , C. Girerd , M. C. Gomoiu , P. Gorodetzky , E. Hamada , R. Hanni , T. Hasegawa , A. Holin , S. Horikawa , M. Ikeno , S. Jiménez , A. Jipa , M. Karolak , Y. Karyotakis , S. Kasai , K. Kasami , T. Kishishita , H. Konari , I. Kreslo , D. Kryn , P. Kunzé , M. Kurokawa , Y. Kuromori , C. Lastoria , I. Lazanu , G. Lehmann-Miotto , M. Leyton , N. Lira , K. Loo , D. Lorca , P. Lutz , T. Lux , J. Maalampi , G. Maire , M. Maki , L. Manenti , R. M. Margineanu , J. Marteau , G. Martin-Chassard , H. Mathez , E. Mazzucato , G. Misitano , D. Mladenov , L. Molina Bueno , T. S. Mosu , W. Mu , S. Murphy , K. Nakayoshi , S. Narita , D. Navas-Nicolás , K. Negishi , M. Nessi , M. Niculescu-Oglinzanu , F. Noto , A. Noury , Y. Onishchuk , C. Palomares , M. Parvu , T. Patzak , Y. Penichot , E. Pennacchio , L. Periale , H. Pessard , F. Pietropaolo , D. Pugnere , B. Radics , D. Redondo , C. Regenfus , A. Remoto , F. Resnati , O. Ristea , A. Rubbia , A. Saftoiu , K. Sakashita , F. Sanchez , C. Santos , A. Scarpelli , C. Schloesser , K. Sendai , F. Sergiampietri , S. Shahsavarani , M. Shoji , J. Sinclair , J. Soto-Oton , D. I. Stanca , D. Stefan , R. Sulej , M. Tanaka , V. Toboaru , A. Tonazzo , W. Tromeur , W. H. Trzaska , T. Uchida , L. Urda , F. Vannucci , G. Vasseur , A. Verdugo , T. Viant , S. Vihonen , S. Vilalte , M. Weber , S. Wu , J. Yu , L. Zambelli , M. Zito

We consider the problem of statistical inference for the effective dynamics of multiscale diffusion processes with (at least) two widely separated characteristic time scales. More precisely, we seek to determine parameters in the effective…

Statistics Theory · Mathematics 2013-05-30 Sebastian Krumscheid , Grigorios A. Pavliotis , Serafim Kalliadasis

Time projection chambers (TPCs) are widely used in nuclear and particle physics. They are particularly useful when measuring reaction products from heavy ion collisions. Most nuclear experiments at low energy are performed in a fixed target…

Moments (Variance ($\sigma^2$), Skewness($S$), Kurtosis($\kappa$)) of multiplicity distributions of conserved quantities, such as net-baryon,net-charge and net-strangeness, are predicted to be sensitive to the correlation length of the…

Nuclear Experiment · Physics 2013-09-06 Xiaofeng Luo , Ji Xu , Bedangadas Mohanty , Nu Xu

A study of the dynamics of the positive charges in liquid argon has been carried out in the context of the future massive time projection chambers proposed for dark matter and neutrino physics. Given their small mobility coefficient in…

Instrumentation and Detectors · Physics 2017-05-26 L. Romero , R. Santorelli , B. Montes

Context. High-precision pulsar-timing experiments are affected by temporal variations of the Dispersion Measure (DM), which are related to spatial variations in the interstellar electron content. Correcting for DM variations relies on the…

Liquid argon is being employed as a detector medium in neutrino physics and Dark Matter searches. A recent push to expand the applications of scintillation light in Liquid Argon Time Projection Chamber neutrino detectors has necessitated…

Instrumentation and Detectors · Physics 2021-04-26 D. Garcia-Gamez , P. Green , A. M. Szelc

Numerical simulations are a powerful tool for the development and improvement of Li-ion batteries. Modeling the mass transport of the involved electrolytic solutions requires precise determination of the corresponding electrolyte…

Chemical Physics · Physics 2024-11-21 Lukas Lehnert , Maryam Nojabaee , Arnulf Latz , Birger Horstmann

Diffusion models are a powerful class of generative models that iteratively denoise samples to produce data. While many works have focused on the number of iterations in this sampling procedure, few have focused on the cost of each…

Machine Learning · Computer Science 2022-07-12 Troy Luhman , Eric Luhman

Diffusion in a multidimensional energy surface with minima and barriers is a problem of importance in statistical mechanics and also has wide applications, such as protein folding. To understand it in such a system, we carry out theory and…

Statistical Mechanics · Physics 2022-06-29 Subhajit Acharya , Biman Bagchi

We present the first diffusion-based framework that can learn an unknown distribution using only highly-corrupted samples. This problem arises in scientific applications where access to uncorrupted samples is impossible or expensive to…

Machine Learning · Computer Science 2023-05-31 Giannis Daras , Kulin Shah , Yuval Dagan , Aravind Gollakota , Alexandros G. Dimakis , Adam Klivans

To take advantage of high-resolution optics sensitive to a broad energy range, future X-ray imaging instruments will require thick detectors with small pixels. This pixel aspect ratio affects spectral response in the soft X-ray band, vital…

Particle based communication using diffusion and advection has emerged as an alternative signaling paradigm recently. While most existing studies assume constant flow conditions, real macro scale environments such as atmospheric winds…

Signal Processing · Electrical Eng. & Systems 2026-01-15 Fatih Merdan , Ozgur B. Akan

Close to one half of the LHC events are expected to be due to elastic or inelastic diffractive scattering. Still, predictions based on extrapolations of experimental data at lower energies differ by large factors in estimating the relative…

High Energy Physics - Experiment · Physics 2010-04-22 Mikael Kuusela , Jerry W. Lamsa , Eric Malmi , Petteri Mehtala , Risto Orava

What does the diffraction pattern from a single atom look like? How does it differ from the scattering from long range potential? With the development of new high-dynamic range pixel array detectors to measure the complete momentum…

Instrumentation and Detectors · Physics 2017-11-29 Michael C. Cao , Yimo Han , Zhen Chen , Yi Jiang , Kayla X. Nguyen , Emrah Turgut , Greg Fuchs , David A. Muller

Electronic polarization and charge transfer effects play a crucial role in thermodynamic, structural and transport properties of room-temperature ionic liquids (RTILs). These non-additive interactions constitute a useful tool for tuning…

Materials Science · Physics 2014-09-09 Vitaly V. Chaban , Oleg V. Prezhdo