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Electron microscopy is a powerful tool for studying the properties of materials down to their atomic structure. In many cases, the quantitative interpretation of images requires simulations based on atomistic structure models. These…

Quantum materials research requires co-design of theory with experiments and involves demanding simulations and the analysis of vast quantities of data, usually including pattern recognition and clustering. Artificial intelligence is a…

Other Condensed Matter · Physics 2021-11-01 A. M. Samarakoon , D. Alan Tennant , Feng Ye , Qiang Zhang , S. A. Grigera

We study the electromagnetic contribution to elastic neutrino-proton and neutrino-neutron scattering processes. The neutrino electromagnetic charge, magnetic, electric, and anapole form factors of both diagonal and transition types in the…

High Energy Physics - Phenomenology · Physics 2023-02-13 Konstantin Kouzakov , Fedor Lazarev , Alexander Studenikin

The differential cross section for the inelastic magnetic scattering of neutrons by superconducting rings is derived theoretically taking account of the interaction of the neutron magnetic moment with magnetic field created by the…

Superconductivity · Physics 2015-05-18 A. I. Agafonov

We show that information about scattering data of a quantum field theory can be obtained from studying the system at finite density and low temperatures. In particular we consider models formulated on the lattice which can be exactly…

High Energy Physics - Lattice · Physics 2015-12-16 Falk Bruckmann , Christof Gattringer , Thomas Kloiber , Tin Sulejmanpasic

We discuss various methods to obtain the resolution volume for neutron scattering experiments, in order to perform absolute normalization on inelastic magnetic neutron scattering data. Examples from previous experiments are given. We also…

Superconductivity · Physics 2014-02-06 Guangyong Xu , Zhijun Xu , J. M. Tranquada

Measuring Deeply Virtual Compton Scattering on the neutron is one of the necessary steps to understand the structure of the nucleon in terms of Generalized Parton Distributions (GPDs). Neutron targets play a complementary role to…

High Energy Physics - Experiment · Physics 2024-06-26 CLAS Collaboration , A. Hobart , S. Niccolai , M. Čuić , K. Kumerički , P. Achenbach , J. S. Alvarado , W. R. Armstrong , H. Atac , H. Avakian , L. Baashen , N. A. Baltzell , L. Barion , M. Bashkanov , M. Battaglieri , B. Benkel , F. Benmokhtar , A. Bianconi , A. S. Biselli , S. Boiarinov , M. Bondi , W. A. Booth , F. Bossù , K. -Th. Brinkmann , W. J. Briscoe , W. K. Brooks , S. Bueltmann , V. D. Burkert , T. Cao , R. Capobianco , D. S. Carman , P. Chatagnon , G. Ciullo , P. L. Cole , M. Contalbrigo , A. D'Angelo , N. Dashyan , R. De Vita , M. Defurne , A. Deur , S. Diehl , C. Dilks , C. Djalali , R. Dupre , H. Egiyan , A. El Alaoui , L. El Fassi , L. Elouadrhiri , S. Fegan , A. Filippi , C. Fogler , K. Gates , G. Gavalian , G. P. Gilfoyle , D. Glazier , R. W. Gothe , Y. Gotra , M. Guidal , K. Hafidi , H. Hakobyan , M. Hattawy , F. Hauenstein , D. Heddle , M. Holtrop , Y. Ilieva , D. G. Ireland , E. L. Isupov , H. Jiang , H. S. Jo , K. Joo , T. Kageya , A. Kim , W. Kim , V. Klimenko , A. Kripko , V. Kubarovsky , S. E. Kuhn , L. Lanza , M. Leali , S. Lee , P. Lenisa , X. Li , I. J. D. MacGregor , D. Marchand , V. Mascagna , M. Maynes , B. McKinnon , Z. E. Meziani , S. Migliorati , R. G. Milner , T. Mineeva , M. Mirazita , V. Mokeev , C. Muñoz Camacho , P. Nadel-Turonski , P. Naidoo , K. Neupane , G. Niculescu , M. Osipenko , P. Pandey , M. Paolone , L. L. Pappalardo , R. Paremuzyan , E. Pasyuk , S. J. Paul , W. Phelps , N. Pilleux , M. Pokhrel , S. Polcher Rafael , J. Poudel , J. W. Price , Y. Prok , T. Reed , J. Richards , M. Ripani , J. Ritman , P. Rossi , A. A. Golubenko , C. Salgado , S. Schadmand , A. Schmidt , Marshall B. C. Scott , E. M. Seroka , Y. G. Sharabian , E. V. Shirokov , U. Shrestha , N. Sparveris , M. Spreafico , S. Stepanyan , I. I. Strakovsky , S. Strauch , J. A. Tan , N. Trotta , R. Tyson , M. Ungaro , S. Vallarino , L. Venturelli , V. Tommaso , H. Voskanyan , E. Voutier , D. P Watts , X. Wei , R. Williams , M. H. Wood , L. Xu , N. Zachariou , J. Zhang , Z. W. Zhao , M. Zurek

We investigate a method for extracting nonlinear principal components (NPCs). These NPCs maximize variation subject to smoothness and orthogonality constraints; but we allow for a general class of constraints and multivariate probability…

Methodology · Statistics 2009-08-06 Xioahong Chen , Lars Peter Hansen , Jose Scheinkman

The technique of polarized neutron scattering is reviewed with emphasis on applications. Many examples of the usefulness of the method in various fields of physics are given like the determination of spin density maps, measurement of…

Strongly Correlated Electrons · Physics 2007-05-23 B. Roessli , P. Böni

Realistic simulation of quantum materials is a central goal of quantum computation. Although quantum processors have advanced rapidly in scale and fidelity, it has remained unclear whether pre-fault-tolerant devices can perform…

We demonstrate that inelastic neutron scattering technique can be used to indirectly detect and measure the macroscopic quantum correlations quantified by both entanglement and discord in a quantum magnetic material, VODPO4 . 1D2O. The…

Quantum Physics · Physics 2014-07-03 Ben-Qiong Liu , Lian-Ao Wu , Guo-Mo Zeng , Jian-Ming Song , Wei Luo , Yang Lei , Guang-Ai Sun , Bo Chen , Shu-Ming Peng

The nucleon structure functions probed in deep-inelastic scattering at large virtualities form an important tool to test Quantum Chromdynamics (QCD) through precision measurements of the strong coupling constant $\alpha_s(M_Z^2)$ and the…

High Energy Physics - Phenomenology · Physics 2015-06-11 Johannes Blümlein

Neutrino Deep Inelastic Scattering on nuclei is an essential process to constrain the strange quark parton distribution functions in the proton. The critical component on the way to using the neutrino DIS data in a proton PDF analysis is…

High Energy Physics - Phenomenology · Physics 2011-07-18 K. Kovarik

We study non-equilibrium quantum dynamics by performing principal component analysis on the data sets of wavefunction snapshots. We show that a specific transformation of the data sets maximizes the information content in the largest…

Statistical Mechanics · Physics 2026-04-02 Dharmesh Yadav , Devendra Singh Bhakuni , Bijay Kumar Agarwalla

We consider a charged particle following the boundary of a two-dimensional domain because a homogeneous magnetic field is applied. We develop the basic scattering theory for the corresponding quantum mechanical edge states. The scattering…

Mathematical Physics · Physics 2009-11-11 C. Buchendorfer , G. M. Graf

This study outlines a numerical methodology aimed at rectifying the neutron scattering cross-sections of fundamental elements across a range of low neutron energies typically employed in general neutron scattering experiments. By using the…

Data Analysis, Statistics and Probability · Physics 2023-09-28 Karrie E. An , Guan-Rong Huang , Changwoo Do , Wei-Ren Chen

An overarching goal in the flourishing field of quantum simulation for high-energy physics is the first-principles study of the microscopic dynamics of scattering processes on a quantum computer. Currently, this is hampered by small system…

Neutron Compton scattering measurements have the potential to provide direct information about atomic momentum distributions and adiabatic energy surfaces in condensed matter. First applied to measuring the condensate fraction in superfluid…

Condensed Matter · Physics 2007-05-23 Greg Watson

The quasi-one-dimensional bond-alternating S=1 quantum antiferromagnet NTENP is studied by single crystal inelastic neutron scattering. Parameters of the measured dispersion relation for magnetic excitations are compared to existing…

Strongly Correlated Electrons · Physics 2009-11-10 A. Zheludev , T. Masuda , B. Sales , D. Mandrus , T. Papenbrock , T. Barnes , S. Park

Motivation: Although principal component analysis is frequently applied to reduce the dimensionality of matrix data, the method is sensitive to noise and bias and has difficulty with comparability and interpretation. These issues are…

Methodology · Statistics 2012-12-27 Tomokazu Konishi