Results 41 to 50 of about 1,858,322 (315)
Virtual damping and Einstein relation in oscillators [PDF]
, 2003 This paper presents a new physical theory of oscillator phase noise. Built around the concept of phase diffusion, this work bridges the fundamental physics of noise and existing oscillator phase-noise theories.
Hajimiri, Ali, Ham, Donhee
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Experiments of cylindrical isentropic compression by ultrahigh magnetic field
EPJ Web of Conferences, 2015 The high Explosive Magnetic Flux Implosion Compression Generator (EMFICG) is a kind of unique high energy density dynamic technique with characters like ultrahigh pressure and low temperature rising and could be suitable as a tool of cylindrical ...
Gu Zhuowei +6 more
doaj +1 more source
Hot-mode accretion and the physics of thin-disk galaxy formation [PDF]
Monthly notices of the Royal Astronomical Society, 2022 We use FIRE simulations to study disk formation in z ∼ 0, Milky Way-mass galaxies, and conclude that a key ingredient for the formation of thin stellar disks is the ability for accreting gas to develop an aligned angular momentum distribution via ...
Zachary Hafen +18 more
semanticscholar +1 more source
Towards Quantum Gravity: A Framework for Probabilistic Theories with Non-Fixed Causal Structure [PDF]
, 2006 General relativity is a deterministic theory with non-fixed causal structure. Quantum theory is a probabilistic theory with fixed causal structure. In this paper we build a framework for probabilistic theories with non-fixed causal structure.
Einstein A +10 more
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A statistical–mechanical view on source coding: physical compression and data compression [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2011 We draw a certain analogy between the classical information-theoretic problem of lossy data compression (source coding) of memoryless information sources and the statistical mechanical behavior of a certain model of a chain of connected particles (e.g., a polymer) that is subjected to a contracting force. The free energy difference pertaining to such a
openaire +3 more sources
Complexity and Entropy in Legal Language
Frontiers in Physics, 2021 We study the language of legal codes from different countries and legal traditions, using concepts from physics, algorithmic complexity theory and information theory. We show that vocabulary entropy, which measures the diversity of the author’s choice of
Roland Friedrich
doaj +1 more source
Exploring compression techniques for ROOT IO [PDF]
, 2017 ROOT provides an flexible format used throughout the HEP community. The number of use cases - from an archival data format to end-stage analysis - has required a number of tradeoffs to be exposed to the user.
Bockelman, Brian, Zhang, Zhe
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Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Symplectic encoders for physics-constrained variational dynamics inference
Scientific Reports, 2023 We propose a new variational autoencoder (VAE) with physical constraints capable of learning the dynamics of Multiple Degree of Freedom (MDOF) dynamic systems.
Kiran Bacsa +4 more
semanticscholar +1 more source
Message passing algorithms for non-linear nodes and data compression [PDF]
, 2005 The use of parity-check gates in information theory has proved to be very efficient. In particular, error correcting codes based on parity checks over low-density graphs show excellent performances.
Ciliberti, S., Mezard, M., Zecchina, R.
core +2 more sources