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๐Ÿ” aswin kannan ๐Ÿ“‚ Physics
Showing 768 results for "aswin kannan" in Physics
Physics Preprint PDF DOI

High-Precision Ground Characterization of Test-Mass Magnetic Properties for the Taiji Gravitational Wave Mission via a Physics-Informed Neural Framework

Chang Liu, Qiong Deng, Huadong Li, Liwei Yang, Xiaodong Peng, Ziren Luo, Yuzhu Zhang, Chen Gao, Xiaotong Wei, Minghui Du, Zihao Xiao, Peng Xu, Bo Liang, Zhi Wang, Li-e Qiang ยท 2026

Taiji is a gravitational wave detection mission in space initiated by the Chinese Academy of Sciences, which will open the millihertz window through a heliocentric triangular constellation of three drโ€ฆ

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Physics Preprint PDF DOI

All-Optical High-Resolution Real-Time Temperature Estimation Method Based on Fiber-Optic Interferometry

Jingwen Yang, Long Chen, Haoliang Yu, Xiaofeng Jin, Jianxiang Miao, Jia Kong ยท 2026

High-resolution temperature monitoring is essential for many engineering and scientific applications, but conventional sensors are limited by insufficient resolution and susceptibility to electromagneโ€ฆ

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Physics Preprint PDF DOI

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models

Aditya Sai Pranith Ayapilla, Kazuya Miyashita, Yuki Yasuda, Ryo Onishi ยท 2026

Data assimilation (DA) improves prediction of chaotic systems by combining model forecasts with sparse, noisy observations. Many DA methods are inherently probabilistic, but accurate probabilistic DA โ€ฆ

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Physics Preprint PDF DOI

Pulsar Selection Criteria and Performance Evaluation of Autonomous X-ray Pulsar Navigation Systems

Sui Chen (Politecnico di Milano, ICE-CSIC, IEEC), Emilie Parent (ICE-CSIC, IEEC), Nanda Rea (ICE-CSIC, IEEC), Francesco Topputo (Politecnico di Milano) ยท 2026

Current space missions primarily depend on Earth-based Guidance, Navigation, and Control (GNC) systems involving human-in-the-loop operations. X-ray pulsar-based navigation offers a promising alternatโ€ฆ

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Physics Preprint PDF DOI

Stochastic Thermodynamics for Autoregressive Generative Models: A Non-Markovian Perspective

Takahiro Sagawa ยท 2026

Autoregressive generative models -- including Transformers, recurrent neural networks, classical Kalman filters, state space models, and Mamba -- all generate sequences by sampling each output from a โ€ฆ

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Physics Preprint PDF DOI

Comparing an Ensemble Kalman Filter to a 4DVAR Data Assimilation System in Chaotic Dynamics

Fabricio Pereira Harter, Cleber Souza Correa ยท 2026

In this paper, the Ensemble Kalman Filter is compared with a 4DVAR Data Assimilation System in chaotic dynamics. The Lorenz model is chosen for its simplicity in structure and its dynamical similaritiโ€ฆ

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Physics Preprint PDF DOI

Calibration of key parameters during the in-orbit phase for the Taiji-2 gravitational reference sensor

Haoyue Zhang, Chang Liu, Xiaotong Wei, Peng Xu, Li-E Qiang, Ziren Luo, Ye Dong ยท 2026

The Taiji mission, a pioneering Chinese space-borne gravitational wave observatory, requires ultra-precise calibration of its gravitational reference sensors (GRSs) to achieve its targeted sensitivityโ€ฆ

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Physics Preprint PDF DOI

Interplay of network architecture and ionic environment in dictating pNIPAM microgel thermoresponsiveness

Syamjith KS, Alan Ranjit Jacob ยท 2026

The utility of non functionalized poly(N-isopropylacrylamide) (pNIPAM) microgels in physiological and environmental applications is strictly dependent on their reversible thermoresponsiveness and stabโ€ฆ

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Physics Preprint PDF DOI

Criticality-enhanced global frequency sensing with a monitored Kerr parametric oscillator via extended Kalman filter

Cheng Zhang, Mauro Cirio, Xin-Qi Li, Pengfei Liang ยท 2026

We analyze a global sensing scenario in which the frequency of a monitored Kerr parametric oscillator is estimated assuming limited prior information. The frequency is estimated in real-time by continโ€ฆ

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Extrapolative Quantum Error Mitigation in Continuous-Variable Systems beyond the Training Horizon

Jingpeng Zhang, Shengyong Li, Jie Han, Qianchuan Zhao, Jing Zhang, Zeliang Xiang ยท 2026

Continuous-variable (CV) quantum systems provide a versatile platform for quantum information processing, in which quantum states can be represented in the quadrature phase space. In realistic implemeโ€ฆ

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Physics Preprint PDF DOI

In situ magnetic-field stabilization for quantum-gas experiments

E. Gvozdiovas, A. Valdes-Curiel, Q.-Y. Liang, E. D. Mercado-Gutierrez, A. M. Pineiro, J. Tao, D. Trypogeorgos, M. Zhao, I. B. Spielman ยท 2026

We demonstrate a minimally-destructive in situ technique for measuring and stabilizing slowly-drifting magnetic fields in ultracold-atom experiments. While conventional magnetic-field sensors such as โ€ฆ

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Quantum Time Synchronization of Star Networks

Brian J. Rollick, Zhensheng Jia, Bernardo A. Huberman ยท 2026

We extend the single source approach of Valencia et al in order to synchronize the clocks of an N user start network, connected both through fiber and in free space. Entangled photon pairs from a centโ€ฆ

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Distributed optimization of Lindblad equations for large-scale cavity QED systems

Hui-hui Miao ยท 2026

This paper proposes a distributed computing framework for solving the Lindblad master equation in large-dimensional cavity QED systems. By leveraging the sparsity of the jump operator and combining thโ€ฆ

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Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks

Xu-Hui Zhou, Lorenzo Beronilla, Michael K. Sleeman, Hangchuan Hu, Matthias Morzfeld, Andrew M. Stuart, Tamer A. Zaki ยท 2026

Data assimilation (DA) for compressible flows with shocks is challenging because many classical DA methods generate spurious oscillations and nonphysical features near uncertain shocks. We focus here โ€ฆ

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Energy efficient optical tracking for space quantum communication

Eric Vokes, Vinod N. Rao, Elinore Spencer, Rupesh Kumar ยท 2026

Power consumption is a critical constraint for CubeSat based quantum communication, where tracking systems often dominate the onboard power budget. We demonstrate an energy-efficient approach that enaโ€ฆ

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The Montreal Open Clusters and Associations (MOCA) Database: A Census of Nearby Associations, Open Clusters, and Young Substellar Objects within 500 pc of the Sun

Jonathan Gagne, Leslie Moranta, Jacqueline K. Faherty, Jason Lee Curtis, Thomas P. Bickle, Dominic Couture, Amelie Chiasson David, Katie Christie, Samantha Lambier, Elise Leclerc, Livia Poliquin, Danika Belzile, Eric E. Mamajek ยท 2026

We present the Montreal Open Clusters and Associations database (MOCAdb), a public MySQL database with a Python interface. MOCAdb provides a census of memberships for 10259 associations and open clustโ€ฆ

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Effective Caldirola-Kanai Model for Accelerating Twisted Dirac States in Nonuniform Axial Fields

N.V.Filina, S.S.Baturin ยท 2026

We study relativistic twisted (orbital-angular-momentum) states of a massive charged particle propagating through an axially symmetric, longitudinally inhomogeneous solenoid field and a co-directed acโ€ฆ

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A synthetic Gannon-Lee incompleteness theorem

Mathias Braun, Carlo Rotolo ยท 2026

We prove the Gannon-Lee incompleteness theorem for globally hyperbolic spacetimes. We assume the synthetic null energy condition of Ketterer and a trappedness condition we call "synthetically asymptotโ€ฆ

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DeepRed: an architecture for redshift estimation

Alessandro Meroni, Nicolo Oreste Pinciroli Vago, Piero Fraternali ยท 2026

Estimating redshift is a central task in astrophysics, but its measurement is costly and time-consuming. In addition, current image-based methods are often validated on homogeneous datasets. The develโ€ฆ

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Physics Preprint PDF DOI

PEST: Physics-Enhanced Swin Transformer for 3D Turbulence Simulation

Yilong Dai, Shengyu Chen, Xiaowei Jia, Peyman Givi, Runlong Yu ยท 2026

Accurate simulation of turbulent flows is fundamental to scientific and engineering applications. Direct numerical simulation (DNS) offers the highest fidelity but is computationally prohibitive, whilโ€ฆ

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