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Showing 1686 results for "cnrs" in Physics
Physics Preprint PDF DOI

Coexistence of two distinct rogue wave patterns in the coupled nonlinear Schr\"odinger equation

Zixuan Deng, Huian Lin, Liming Ling · 2026

This paper investigates the asymptotic behavior of high-order vector rogue wave (RW) solutions of the coupled nonlinear Schr\"odinger (CNLS) equation in the presence of multiple large internal paramet…

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Physics Preprint PDF DOI

Machine learning technique for morphological classification of galaxies from SDSS. IV. Visual inspection vs CNN for merging, irregular, edge-on, barred, ringed, and with dust lanes galaxies at 0.02<z<0.1

Dobrycheva D.V., Vavilova I.B., Kompaniiets O.V., Khramtsov V., Vasylenko M.Yu., Hetmantsev O.O., Melnyk O.V., Karachentseva V.E · 2026

Context. Convolutional neural networks (CNNs) are widely used for automated galaxy morphological classification in large surveys. However, projection effects, image artefacts, and intrinsic degeneraci…

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Physics Preprint PDF DOI

ECLAIRs: the SVOM high-energy transient trigger camera

O. Godet, J.-L. Atteia, S. Schanne, C. Lachaud, A. Goldwurm, F. Piron, Ph. Guillemot, C. Amoros, W. Bertoli, L. Bouchet, M. C. Charmeau, F. Chteau, B. Cordier, N. Dagoneau, F. Daly, J.-P. Dezalay, J. Galezzi, A. Givaudan, A. Gros, M. Karakac, K. Lacombe, H. Leprovost, S. Maestre, K. Mercier, H. Pasquier, L. Perraud, R. Pons, D. Rambaud, O. Simonella, T. Tourrette, H. Triou, V. Waegebaert, P. Bacon, T. Barlyaeva, N. Bellemont, M.-G. Bernardini, M. Brunet, F. Cangemi, C. Cavet, A. Coleiro, D. Corre, F. Daigne, A. Foisseau, O. Gevin, S. Guillot, U. Jacob, F. Lacreu, S. Le Stum, P. Maeght, T. Maiolino, A. Maolo, G. Tcherniatinksy, J. Wang, H. Yang · 2026

The core instrument of the SVOM Gamma-ray burst mission launched in June 2024 is the 4-150 keV 2-D coded mask camera ECLAIRs responsible for the autonomous trigger and localization of transient events…

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Physics Preprint PDF DOI

A SPHEREx Pipeline and Spectral Library for Ultracool Dwarfs

Jonathan Gagne, Jacqueline K. Faherty, Azul Ruiz Diaz, Louis-Philippe Coulombe, Thomas P. Bickle, Adam C. Schneider, J. Davy Kirkpatrick, Marc J. Kuchner, Aaron M. Meisner, Dan Caselden, Adam J. Burgasser, Sarah Casewell, Easton J. Honaker, Frank Kiwy, Federico Marocco, Nikolaj Stevnbak Andersen, Lizzeth Ruiz Arroyo, Bruce Baller, Paul Beaulieu, John Bell, Martin Bilsing, Troy K. Bohling, Guillaume Colin, Giovanni Colombo, Sam Deen, Alexandru Dereveanco, Kevin Dixon, Hugo A. Durantini Luca, Deiby Flores, Christoph Franck, Christopher Fulvi, Michael Gallmann, Jean Marc Gantier, Konstantin Glebov, Leopold Gramaize, Leslie K. Hamlet, Ken Hinckley, Kevin Jablonski, Peter A. Ja{l}owiczor, Martin Kabatnik, Peter Kasprowitz, K Ly, David W. Martin, Naoufel Marzak, Alexander McColgan, Neil J. McEwan, Marianne N. Michaels, William Pendrill, Stephane Perlin, Ben Pumphrey, James Rabe, Henry Raway, Walter Ruben Robledo, David Roser, Animesh Roy, Arttu Sainio, Vincent Schindler, Manfred Schonau, Jo rg Schumann, Karl Selg-Mann, Andrea Serio, Patrick Smith, Andres Stenner, Christopher Tanner, Melina Thevenot, Vinod Thakur, Mayahuel Torres Guerrero, Maurizio Ventura, Nikita V. Voloshin, Jim Walla, Zbigniew Wedracki, Bailey Weyandt, Breck Wilhite, Spartacus Zitouni · 2026

We present a Python spectrophotometry extraction tool tailored for fast-moving point sources detected in the SPHEREx mission, and use it to construct a set of 0.75-5.0 {\mu}m low-resolution ({\lambda}…

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Physics Preprint PDF DOI

Emergence of Open Chemical Reaction Network Thermodynamics within Closed Systems

Benedikt Remlein, Massimiliano Esposito, Francesco Avanzini · 2026

We address a fundamental question: under which conditions do the dynamics and thermodynamics of open chemical reaction networks (CRNs), grounded on the notion of idealized chemostats that exchange sel…

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Physics Preprint PDF DOI

Meter-long broadband chirped Bragg gratings for on-chip dispersion control and pulse shaping

Zhaoting Geng, Yitian Tong, Chuchen Zhang, Huajun Tang, Zhenmin Du, Yu Xia, Mingfei Liu, Di Yu, Yuhao Huang, Yaoran Huang, Zheng Li, Tianxiang Dai, Kenneth Kin-Yip Wong, Hongwei Chen, Chao Xiang · 2026

Precise on-chip dispersion control is essential for advanced integrated photonic technologies, enabling applications ranging from high-speed communications and sensing to signal processing and biomedi…

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Physics Preprint PDF DOI

Dynamical Facilitation in Active Glass Formers: Role of Morphology and Persistence

Dipanwita Ghoshal · 2026

Understanding dynamical facilitation in nonequilibrium glass-forming systems driven by active forces remains an open challenge. In particular, it is unclear whether facilitation survives in active gla…

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Physics Preprint PDF DOI

Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning

Jiamin Liu, Kai Zhou, Baoyi Chen · 2026

We use deep learning under Bayesian perspective to quantitatively extract the in-medium heavy quark (HQ) potential from bottomonium nuclear modification factors ($R_{AA}$) measured across multiple hea…

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Physics Preprint PDF DOI

A metallic CrS$_2$ phase bridging the gap between two- and three-dimensional dichalcogenides

Hicham Moutaabbid, Dario Taverna, Denis Pelloquin, Lorenzo Paulatto, Alexandre Gloter, Sophie Gueron, Alik Kasumov, Andrea Gauzzi · 2026

We report on the high-pressure synthesis of a CrS$_2$ phase in the form of single-crystalline nanorods. A structural refinement of Precession Electron Diffraction Tomography data confirms the nominal …

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Physics Preprint PDF DOI

ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier

Paul F. X. Gregory, Jeroen Audenaert, Mykyta Kliapets, Daniel Muthukrishna, Andrew Tkachenko, Marek Skarka, Marc Hon, George R. Ricker · 2026

Photometric missions such as Kepler and TESS have generated millions of light curves covering almost the entire sky, offering unprecedented opportunities to study stellar variability and advance our u…

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Physics Preprint PDF DOI

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

Euclid Collaboration: X. Xu, R. Chen, T. Li, A. R. Cooray, S. Schuldt, J. A. Acevedo Barroso, D. Stern, D. Scott, M. Meneghetti, G. Despali, J. Chopra, Y. Cao, M. Cheng, J. Buda, J. Zhang, J. Furumizo, R. Valencia, Z. Jiang, C. Tortora, N. E. P. Lines, T. E. Collett, S. Fotopoulou, A. Galan, A. Manjon-Garcia, R. Gavazzi, L. Iwamoto, S. Kruk, M. Millon, P. Nugent, C. Saulder, D. Sluse, J. Wilde, M. Walmsley, F. Courbin, R. B. Metcalf, B. Altieri, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P. Battaglia, R. Bender, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, H. M. Courtois, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, C. Dolding, H. Dole, F. Dubath, X. Dupac, S. Dusini, S. Escoffier, M. Farina, R. Farinelli, S. Farrens, S. Ferriol, F. Finelli, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, W. Gillard, B. Gillis, C. Giocoli, P. Gomez-Alvarez, J. Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, S. Kermiche, A. Kiessling, B. Kubik, M. Kummel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey, E. Medinaceli, S. Mei, M. Melchior, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S.-M. Niemi, J. W. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, Z. Sakr, D. Sapone, M. Schirmer, P. Schneider, T. Schrabback, A. Secroun, G. Seidel, E. Sihvola, P. Simon, C. Sirignano, G. Sirri, L. Stanco, P. Tallada-Crespi, A. N. Taylor, I. Tereno, N. Tessore, S. Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, J. Valiviita, T. Vassallo, G. Verdoes Kleijn, A. Veropalumbo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, M. Ballardini, M. Bolzonella, C. Burigana, R. Cabanac, M. Calabrese, A. Cappi, T. Castro, J. A. Escartin Vigo, L. Gabarra, S. Hemmati, J. Macias-Perez, R. Maoli, J. Martin-Fleitas, N. Mauri, P. Monaco, A. A. Nucita, A. Pezzotta, M. Pontinen, I. Risso, V. Scottez, M. Sereno, M. Tenti, M. Tucci, M. Viel, M. Wiesmann, Y. Akrami, I. T. Andika, G. Angora, S. Anselmi, M. Archidiacono, F. Atrio-Barandela, L. Bazzanini, P. Bergamini, D. Bertacca, M. Bethermin, F. Beutler, L. Blot, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, F. Cogato, S. Conseil, O. Cucciati, S. Davini, G. Desprez, A. Diaz-Sanchez, S. Di Domizio, J. M. Diego, P.-A. Duc, V. Duret, M. Y. Elkhashab, A. Enia, Y. Fang, A. Finoguenov, A. Franco, K. Ganga, T. Gasparetto, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, M. Guidi, C. M. Gutierrez, A. Hall, C. Hernandez-Monteagudo, H. Hildebrandt, J. Hjorth, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, J. Kim, C. C. Kirkpatrick, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, T. I. Liaudat, S. J. Liu, M. Magliocchetti, E. A. Magnier, F. Mannucci, C. J. A. P. Martins, L. Maurin, M. Miluzio, C. Moretti, G. Morgante, K. Naidoo, A. Navarro-Alsina, S. Nesseris, D. Paoletti, F. Passalacqua, K. Paterson, L. Patrizii, A. Pisani, D. Potter, G. W. Pratt, S. Quai, M. Radovich, K. Rojas, W. Roster, S. Sacquegna, M. Sahlen, D. B. Sanders, E. Sarpa, C. Scarlata, A. Schneider, M. Schultheis, D. Sciotti, E. Sellentin, L. C. Smith, K. Tanidis, C. Tao, F. Tarsitano, G. Testera, R. Teyssier, S. Tosi, A. Troja, A. Venhola, D. Vergani, G. Vernardos, G. Verza, S. Vinciguerra, N. A. Walton, A. H. Wright, H. W. Yeung · 2026

We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalogues, we reject point…

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Physics Preprint PDF DOI

Ballistic atomic transport in narrow carbon nanotubes

Alberto Ambrosetti, Pier Luigi Silvestrelli, John F. Dobson, Luca Salasnich · 2026

Friction forces are conventionally modeled via semiclassical theories that associate energy dissipation with newtonian motion on corrugated interface potentials. This consolidated approach is challeng…

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Physics Preprint PDF DOI

Quantum Machine Learning for particle scattering entanglement classification

Hala Elhag, Yahui Chai · 2026

Entanglement is a key quantity for characterizing quantum correlations in particle scattering processes, but its direct evaluation is computationally demanding on quantum hardware. In this work, we in…

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Physics Preprint PDF DOI

Approximation Models for Shared Mobility Rebalancing Under Structured Spatial Imbalance

Wenbo Fan, Zhouyun Chen, Weihua Gu · 2026

Shared mobility systems (e.g., shared cars and ride-hailing services) generate persistent spatial imbalances as vehicles concentrate at popular destinations, leaving trip origins depleted of supply. O…

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Physics Preprint PDF DOI

Pattern Formation in Quantum Hierarchical Cellular Neural Networks

W. A. Zuniga-Galindo, B. A. Zambrano-Luna, Chayapuntika Indoung · 2026

We present a new class of quantum neural networks (QNNs) whose states are solutions of $p$-adic Schr\"{o}dinger equations with a non-local potential that controls the interaction between the neurons. …

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Physics Preprint PDF DOI

Extracting Cosmological Information from Lightcone Data: A Comparison of CNNs and Summary-Statistic-Based Approaches

Min Zhiwei, Xiao Xu, Jiang Zhujun, Xiao Liang, Yin Fenfen, Ding Jiacheng, Miao Haitao, Chen Shupei, Lin Qiufan, Wang yang, Zhang Le, Li XiaoDong · 2026

Lightcone observations are the natural data format of galaxy surveys, but their evolving geometry breaks the translational symmetry assumed by standard convolutional neural networks (CNNs). In particu…

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Physics Preprint PDF DOI

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

Jucai Zhai, Muhammad Abdullah, Boyang Chen, Fazal Chaudry, Paul N. Smith, Claire E. Heaney, Yanghua Wang, Jiansheng Xiang, Christopher C. Pain · 2026

In scientific computing, the formulation of numerical discretisations of partial differential equations (PDEs) as untrained convolutional layers within Convolutional Neural Networks (CNNs), referred t…

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Physics Preprint PDF DOI

Doppler dual-comb coherent Raman spectromicroscopy

Florian M. Schweizer, Hannah Terrasa, Manish Garg · 2026

Chemical imaging enabled by Raman processes is crucial to investigating biological and chemical samples in a label-free manner. Stimulated Raman spectroscopy (SRS) overcomes the key limitation associa…

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Physics Preprint PDF DOI

Contractions of the relativistic quantum LCT group and the emergence of spacetime symmetries

Anjary Feno Hasina Rasamimanana, Ravo Tokiniaina Ranaivoson, Roland Raboanary, Raoelina Andriambololona, Wilfrid Chrysante Solofoarisina, Philippe Manjakasoa Randriantsoa · 2026

Advances in the study of relativistic quantum phase space have established the set of Linear Canonical Transformations (LCTs) as a candidate for the fundamental symmetry group associated with relativi…

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Physics Preprint PDF DOI

Multiscale theory, modelling, and simulation of hemicellulose and lignin in solution

A. Kovalenko · 2026

This review examines multiscale modelling approaches for cellulose nanocrystals (CNCs) and lignocellulosic plant cell walls, with a focus on hemicellulose and lignin interactions in aqueous environmen…

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