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Showing 55751 results for "john good" in Physics · Preprint
Physics Preprint PDF DOI

Strong coupling between quantized magnon modes in a YIG microstucture and microwaves in a superconducting resonator

Seth W. Kurfman, Philipp Geyer, Anoop Kamalasanan, Karl Heimrich, Kwangyul Hu, Paul Tharnier, Frank Heyroth, Michael Flatte, Georg Schmidt · 2026

Strong-coupling experiments based on magnons enable the exploration into on-chip demonstrations involving numerous long-lived excitations. Yttrium iron garnet (YIG) has been considered for decades as …

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Physics Preprint PDF DOI

Semi-analytic bounds on axion-like-particle supernovae emission

Ana Luisa Foguel, Eduardo S. Fraga · 2026

Core-collapse supernovae provide natural laboratories for the production of new light particles. In particular, axion-like particles (ALPs) can be constrained via SN1987A cooling arguments. However, s…

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Physics Preprint PDF DOI

Comparison of two laser wavelengths for LIBS bioimaging of plants grown in lunar regolith

T. Vozar, L. Cechova, J. Buday, M. Fuleky, K. Molnarova, L. Lenza, J. Muzik, Y. Koshiba, M. Smrz, P. Porizka, J. Kaiser · 2026

The colonisation of extraterrestrial planets requires sustainable food production independent of Earth-based supplies. Due to the high costs and complicated logistics of food transport, in-situ cultiv…

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Physics Preprint PDF DOI

Theory for the mixed alkali effect in glasses

Justus Leiber, Quinn Emilia Fischer, Sven Lohmann, Philipp Maass · 2026

The mixed alkali or mixed mobile ion effect in glasses manifests itself by strong nonlinear variations of ionic transport properties upon mixing of different types of mobile ions. We develop a theory …

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Spin-coherence characterization of boron vacancy defects in hexagonal boron nitride with broadband microwave pulses

Yuki Nakamura, Takuya Iwasaki, Shu Nakaharai, Shinichi Ogawa, Yukinori Morita, Kenji Watanabe, Takashi Taniguchi, Kento Sasaki, Kensuke Kobayashi · 2026

Negatively charged boron vacancy (VB-) defects in hexagonal boron nitride (hBN) are promising for nanoscale-proximity quantum sensing. To evaluate their performance, it is important to characterize th…

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TESS Asteroseismology of Red Giants in the Old Metal-Rich Open Clusters NGC 188 & NGC 6791

Madeline Howell, Jennifer A. Johnson, Marc H. Pinsonneault, Leslie M. Morales, Jamie Tayar, John D. Roberts, Dennis Stello, Madeleine McKenzie · 2026

Open clusters are fundamental laboratories for investigating stellar and Galactic evolution, and serve as important benchmarks for asteroseismic analyses. Using a boutique method to analyze TESS photo…

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The impact of experimental conditions on the observation of channeling and crystalline undulator radiation

Maykel Marquez-Mijares, German Rojas-Lorenzo, Jesus Rubayo-Soneira, Thu Nhi Tran Caliste, Andrei V. Korol, Andrey V. Solov'yov · 2026

In this study, we present a comprehensive quantitative analysis of the radiation emitted by 855 MeV electrons propagating through an oriented diamond hetero-crystal. The crystal consists of two distin…

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Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

Pauliina Hirvi, Jaakko Olkkonen, Qianqian Fang, Ilkka Nissila · 2026

Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations a…

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Kolmogorov-Sinai entropies identify optimal observables for prediction and dynamics reconstruction in chaotic systems

Maximilian Topel · 2026

Choosing the optimal observable to model dynamical systems for which we do not know the driving equations is nearly always an ad hoc art. Takens' Delay Embedding Theorem guarantees a diffeomorphism be…

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Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Carlos Flores-Garrigos, Anton Simen, Qi Zhang, Enrique Solano, Narendra N. Hegade, Sayonee Ray, Claudio Girotto, Jason Iaconis, Martin Roetteler · 2026

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies beyond standard qua…

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Mujic{\Lambda}: Reconstructing Initial Conditions from Incomplete Redshift Surveys with Projected Optimization

Chenze Dong, Benjamin Horowitz, Adrian E. Bayer, Khee-Gan Lee · 2026

In this paper, we introduce Mujic{\Lambda} (Mapping the Universe with Jax-based Initial Condition Reconstr{\Lambda}ction), an optimization-based framework for reconstructing initial conditions from re…

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Effective length scales, dispersion relations, and discrete densities of states for Laplacian eigenvectors on complex networks

Per Arne Rikvold · 2026

To construct dispersion relations for diffusion or oscillation processes on random networks, it is necessary to obtain effective length scales for the eigenvectors of a graph Laplacian matrix, whose e…

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Precision Spectroscopy of 2S-nS Transitions in Atomic Hydrogen: A Determination of the Proton Charge Radius

R. G. Bullis, W. L. Tavis, M. R. Weiss, J. Orellana Cisneros, A. J. Cheeseman, U. D. Jentschura, D. C. Yost · 2026

We present absolute frequency measurements of 2S_{1/2}-nS_{1/2} two-photon transitions with n = 8, 9, and 10 in a cryogenic beam of atomic hydrogen. Each transition has been measured with a fractional…

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Molecular Dynamics simulations of Al-Ti metallic alloy melts using a transferable machine-learning potential

Yuna Kato, Jurgen Brillo, Dirk Holland-Moritz, Fan Yang, Thomas C. Hansen, Thomas Voigtmann, Linnea Heitmeier · 2026

We investigate the structural and dynamical properties of binary aluminum-titanium liquid metallic alloys, as a function of temperature and composition. We make use of MD-simulations, using a transfer…

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Influence of strain on the anomalous Hall and Nernst effects in Fe thin films

Ao Nakagawa, Ryo Toyama, Keisuke Masuda, Weinan Zhou, Hirofumi Suto, Kodchakorn Simalaotao, Yoshio Miura, Yuya Sakuraba, Tetsunori Koda · 2026

The anomalous Hall effect (AHE) and anomalous Nernst effect (ANE) are the transverse transport phenomena in magnetic materials, which reflect the Berry curvature arising from the electronic structure …

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QAOA Parameter Transfer for Hypergraphs

Lucas T. Braydwood, Phillip C. Lotshaw · 2026

Variational Quantum Algorithms, including the Quantum Approximate Optimization Algorithm (QAOA), have shown promise in solving optimization problems but rely on costly variational loops that can thems…

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Accelerating finite-element-based projector augmented-wave density functional theory calculations with scalable GPU-centric computational methods

Kartick Ramakrishnan, Phani Motamarri · 2026

Accurate large-scale Kohn-Sham density functional theory (DFT) calculations are essential for modeling complex material systems, including interfaces, defects, nanoclusters, and twisted two-dimensiona…

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Pulse Quality Optimisation in Quantum Optimal Control

Dylan Lewis, Roeland Wiersema · 2026

Quantum optimal control methods are widely used to design experimental control pulses such as laser amplitudes, phases, or detunings, that implement a target unitary evolution. In practice, what makes…

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Derivations on the triplet $W$-algebras with $\mathfrak{sl}_2$-symmetry

Hiromu Nakano · 2026

We construct derivations on the triplet $W$-algebras $\mathcal{W}_{p_+,p_-}$ by refining the Frobenius homomorphisms of Tsuchiya-Wood and show that the property of the Adamovi\'{c}-Milas derivation fo…

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Local tensor-train surrogates for quantum learning models

Sreeraj Rajindran Nair, Christopher Ferrie · 2026

A key bottleneck in quantum machine learning is the computational cost of repeated quantum circuit evaluations during the inference phase. To address this, we present a framework for constructing fast…

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