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Showing 3907 results for "eric atkinson" · Preprint
Neuroscience Preprint PDF DOI

Multisensory learning recruits visual neurons into an olfactory memory engram

Zeynep Okray, Nils Otto, Anna A. Cook, Clifford Talbot, Ashwin Miriyala, Martin Klappenbach, Ciara Stern, Kieran Desmond, Paola Vargas-Gutierrez, Scott Waddell · 2026

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory feat…

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Mathematics Preprint PDF DOI

A divisor function of Wigert and higher degree forms

Debika Banerjee, Atul Dixit, Rajat Gupta · 2026

Let $k\in\mathbb{N}$. Wigert's divisor function $d^{\left(\frac{1}{k}\right)}(j)$ counts the number of representations of $j$ of the form $m^k+mn$ with $m\geq1 , n\geq0$. Let $\mathcal{F}_k(s)$ denote…

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Physics Preprint PDF DOI

X-Ray Spectral Variability of the TeV HBL Blazar PG 1553+113 with XMM-Newton

P. U. Devanand, Alok C. Gupta, Paul J. Wiita, V. Jithesh, Archana Gupta · 2026

We present an extensive X-ray spectral variability study of the TeV photon-emitting high-energy-peaked BL Lacertae object PG 1553+113, using the data from EPIC-PN camera of XMM-Newton, which observed …

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Physics Preprint PDF DOI

Characterizing six seismic solar analogs observed by Kepler, K2, and HERMES

R. A. Garcia, S. Mathur, G. T. Hookway, D. Godoy-Rivera, T. Masseron, J. Betrisey, G. Buldgen, C. Lindsay, T. S. Metcalfe, O. J. Scutt, A. Stokholm, P. G. Beck, O. Benomar, G. R. Davies, A. Jimenez, J. Merc, M. B. Nielsen, E. Panetier, F. Perez Hernandez, L. Borg, S. N. Breton, L. Debacker, A. Escorza, D. H. Grossmann, A. Hamy, B. Liagre, M. N. Lund, S. Mathis, D.B. Palakkatharappil, A. R. G. Santos, V. Delsanti, L. Gonzalez-Cuesta, V. Fox, N. Proust · 2026

Solar analogs, stars that closely match the fundamental properties of the Sun, provide key benchmarks for testing stellar structure and evolution across different ages and activity levels. Their detai…

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AI & Data Science Preprint PDF DOI

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

Zhen Zhang, Changyi Yang, Zijie Xia, Zhen Yang, Chengzhi Liu, Zhaotiao Weng, Yepeng Liu, Haobo Chen, Jin Pan, Chenyang Zhao, Yuheng Bu, Alkesh Patel, Zhe Gan, Xin Eric Wang · 2026

Token serves as the fundamental unit of computation in modern autoregressive models, and generation length directly influences both inference cost and reasoning performance. Despite its importance, ex…

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Physics Preprint PDF DOI

Effect of sub-nucleon fluctuations on the DVCS process in proton and nuclear targets at the EIC

J. Cepila, V. P. Goncalves, A. Ridzikova · 2026

The impact of the sub - nucleon fluctuations on the Deeply Virtual Compton Scattering (DVCS) process at the Electron - Ion Collider (EIC) is investigated considering proton and nuclear targets. Assumi…

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Physics Preprint PDF DOI

Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations

Euclid Collaboration: H. Jansen, N. Martinet, S. Grandis, H. Hoekstra, S.-S. Li, T. Schrabback, G. Congedo, B. Csizi, F. Kleinebreil, G. Mankar, N. Zimmermann, B. Altieri, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, S. Bardelli, P. Battaglia, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, S. Casas, F. J. Castander, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, L. Conversi, Y. Copin, F. Courbin, H. M. Courtois, M. Cropper, H. Degaudenzi, G. De Lucia, H. Dole, F. Dubath, X. Dupac, S. Escoffier, M. Farina, R. Farinelli, S. Farrens, S. Ferriol, P. Fosalba, S. Fotopoulou, N. Fourmanoit, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, B. Gillis, C. Giocoli, J. Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, I. M. Hook, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, S. Kermiche, A. Kiessling, B. Kubik, K. Kuijken, M. Kummel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, O. Mansutti, O. Marggraf, M. Martinelli, F. Marulli, R. J. Massey, E. Medinaceli, M. Meneghetti, E. Merlin, G. Meylan, A. Mora, M. Moresco, B. Morin, L. Moscardini, R. Nakajima, C. Neissner, S.-M. Niemi, J. W. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, M. Roncarelli, R. Saglia, Z. Sakr, D. Sapone, P. Schneider, A. Secroun, 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, J. Valiviita, T. Vassallo, G. Verdoes Kleijn, Y. Wang, J. Weller, G. Zamorani, F. M. Zerbi, E. Zucca, M. Ballardini, A. Boucaud, E. Bozzo, C. Burigana, R. Cabanac, M. Calabrese, A. Cappi, T. Castro, J. A. Escartin Vigo, J. Garcia-Bellido, S. Hemmati, E. Jullo, J. Macias-Perez, R. Maoli, J. Martin-Fleitas, N. Mauri, R. B. Metcalf, P. Monaco, 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. Baumont, L. Bazzanini, D. Bertacca, M. Bethermin, F. Beutler, A. Blanchard, L. Blot, M. Bonici, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, F. Cogato, A. R. Cooray, O. Cucciati, J. E. Davies, T. de Boer, G. Desprez, A. Diaz-Sanchez, S. Di Domizio, J. M. Diego, V. Duret, M. Y. Elkhashab, Y. Fang, A. Finoguenov, A. Franco, K. Ganga, R. Gavazzi, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, A. Gruppuso, M. Guidi, C. M. Gutierrez, A. Hall, C. Hernandez-Monteagudo, H. Hildebrandt, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, J. Kim, C. C. Kirkpatrick, K. Koyama, S. Kruk, M. C. Lam, M. Lattanzi, L. Legrand, M. Lembo, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, T. I. Liaudat, S. J. Liu, M. Magliocchetti, F. Mannucci, C. J. A. P. Martins, L. Maurin, M. Miluzio, C. Moretti, G. Morgante, S. Nadathur, K. Naidoo, A. Navarro-Alsina, S. Nesseris, F. Pace, D. Paoletti, F. Passalacqua, K. Paterson, L. Patrizii, C. Pattison, A. Pisani, D. Potter, G. W. Pratt, S. Quai, M. Radovich, K. Rojas, W. Roster, S. Sacquegna, M. Sahlen, D. B. Sanders, E. Sarpa, A. Schneider, D. Sciotti, D. Scognamiglio, E. Sellentin, L. C. Smith, E. Soubrie, I. Szapudi, K. Tanidis, F. Tarsitano, G. Testera, M. Tewes, R. Teyssier, S. Tosi, A. Troja, C. Uhlemann, C. Valieri, A. Venhola, D. Vergani, G. Verza, E. Vilenius, S. Vinciguerra, M. von Wietersheim-Kramsta, N. A. Walton, A. H. Wright · 2026

The Euclid Wide Survey (EWS) will cover the majority of the extragalactic sky with a resolution similar to the Hubble Space Telescope. This unprecedented data set will introduce a new era of precision…

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Physics Preprint PDF DOI

Implementation of the hybrid exchange-correlation functionals in the SIESTA code

Yann Pouillon, Bill Clintone Oyomo, James Sifuna, Maria Camarasa-Gomez, Xinming Qin, Carlos Beltran, Fernando Gomez-Ortiz, Honghui Shang, Javier Junquera · 2026

We present an efficient and accurate implementation of hybrid exchange-correlation (XC) functionals in the SIESTA code, enabling large-scale simulations based on Hartree-Fock-type exact exchange combi…

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Physics Preprint PDF DOI

CSST Preparations: Galaxy Completeness and S\'ersic Profile Fitting across the Wide, Deep, and Extreme Fields

Ziqi Ma, Si-Yue Yu, Taotao Fang, Jinyi Shangguan, Zhao-Yu Li, Luis C. Ho · 2026

The upcoming imaging survey of the Chinese Space-station Survey Telescope (CSST) will deliver high-resolution imaging of an unprecedented number of galaxies for galaxy studies. To understand CSST's ca…

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AI & Data Science Preprint PDF DOI

Transferable SCF-Acceleration through Solver-Aligned Initialization Learning

Eike S. Eberhard, Viktor Kotsev, Timm Guthle, Stephan Gunnemann · 2026

Machine learning methods that predict initial guesses from molecular geometry can reduce this cost, but matrix-prediction models fail when extrapolating to larger molecules, degrading rather than acce…

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Engineering Preprint PDF DOI

Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains

Fatemeh Ziaeetabar · 2026

Robotic systems operating in human environments must reason about how object interactions evolve over time, which actions are currently being performed, and what manipulation step is likely to follow.…

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Physics Preprint PDF DOI

The core of the problem: Physical limits of the core-S\'ersic model

Maarten Baes (UGent) · 2026

The core-S\'ersic model is the standard tool for describing partially depleted stellar cores in massive early-type galaxies, yet its physical admissibility has rarely been examined. Using numerical de…

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AI & Data Science Preprint PDF DOI

And Quiet Does Not Flow the Don: Statistical Analysis of a Quarrel Between Nobel Prize Laureates

Nils Lid Hjort · 2026

The Nobel Prize in literature 1965 was awarded Mikhail Sholokhov (1905-1984), for the epic novel Tikhij Don about Cossack life and the birth of a new Soviet society (And Quiet Flows the Don, or The Qu…

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AI & Data Science Preprint PDF DOI

Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals

Meheru Zannat · 2026

Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms such as tremor, bradykinesia, postural instability, freezing of gait (FoG). PD is currently diagnosed …

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Physics Preprint PDF DOI

Autoregressive prediction of 2D MHD dynamics inferred from deep learning modeling

David Kivarkis, Waleed Mouhali, Sadruddin Benkadda, Kai Schneider · 2026

We develop two deep learning surrogate autoregressive models for the prediction of the temporal evolution of two-dimensional ideal magnetohydrodynamic (MHD) Kelvin-Helmholtz instabilities across a ran…

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Physics Preprint PDF DOI

Turning Galaxy Rotation Curves into Radial Cosmic Chronometers: A Nexus Paradigm Approach

Stuart Marongwe, Stuart A. Kauffman · 2026

We present a method for transforming galaxy rotation curves into radially resolved dynamical chronometers, enabling reconstruction of galaxy assembly histories directly from kinematic data. Within the…

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Physics Preprint PDF DOI

Magnetic switchback formation: a review of proposed mechanisms

Peter F. Wyper, Jonathan Squire, Etienne Pariat, Oleksiy V. Agapitov, Jim F. Drake, Norbert Magyar, William H. Matthaeus, Lorenzo Matteini, David Ruffolo, Victor Reville, Chen Shi, Munehito Shoda, Marc Swisdak, Marco Velli, Mojtaba Akhavan-Tafti, Bahaeddine Gannouni, Roberto Lionello, Maria S. Madjarska, Mathew J. Owens, Nour E. Rawafi, Alphonse C. Sterling, Durgesh Tripathi · 2026

Magnetic switchbacks are large amplitude deflections of the magnetic field within the solar wind. They are Alfv\'enic in character and so are associated with a spike in velocity and a generally small …

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Physics Preprint PDF DOI

End-to-End Physical Design Automation Flow for Yield-Optimized Inverse-Designed Large-Scale Electronic-Photonic Integrated Circuits

Hongjian Zhou, Haoyu Yang, Haoxing Ren, Joaquin Matres, Jiaqi Gu · 2026

As AI systems scale to multi-chiplet and wafer-level architectures, the demand for ultra-high bandwidth and system scalability has outpaced the capabilities of electrical interconnects and computing u…

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Mathematics Preprint PDF DOI

Equivariant L-Classes of Atiyah-Singer-Zagier Type for Singular Spaces

Markus Banagl · 2026

If a finite group $G$ acts on a rational homology manifold, then the orbit space is well-known to be a rational homology manifold again. We consider here actions on spaces that may be much more singul…

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Physics Preprint PDF DOI

Prospects for GRB Afterglow Discovery with the Eric and Wendy Schmidt Observatory System

James Freeburn, Dougal Dobie, Akash Anumarlapudi, Igor Andreoni, Brendan O'Connor, Eric Burns, Jonathan Carney, Hank Corbett, Michael W. Coughlin, Anna Tartaglia, V. Ashley Villar · 2026

Two time domain surveys, recently funded as part of the Eric and Wendy Schmidt Observatory System; the Argus Array, in the optical, and the Deep Synoptic Array (DSA), in the radio, will transform gamm…

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