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The well-known formal analogy between time and absolute temperature, existing on the quantum level, is considered as a profound duality relationship requiring some modifications in the conventional quantum dynamics. They consist of tiny…

High Energy Physics - Theory · Physics 2007-05-23 W. Krolikowski

We report results from a programme aimed at investigating the temperature of neutral gas in high-redshift damped Lyman-$\alpha$ absorbers (DLAs). This involved (1) HI 21cm absorption studies of a large DLA sample, (2) VLBI studies to…

Measuring thermal properties of materials is not only of fundamental importance in understanding the transport processes of energy carriers (electrons and phonons) but also of practical interest in developing novel materials with desired…

Materials Science · Physics 2018-11-14 Puqing Jiang , Xin Qian , Ronggui Yang

Phase-separated magnetic fluids provide a very strong magnetic response ($\mu>25$) in a liquid state material. Even small fields can cause a notable material response, but this depends on its properties, which are often difficult to…

Soft Condensed Matter · Physics 2024-05-10 Laura Nelsone , Guntars Kitenbergs

From a new rigorous formulation of the general axiomatic foundations of thermodynamics we derive an operational definition of entropy that responds to the emergent need in many technological frameworks to understand and deploy thermodynamic…

Quantum Physics · Physics 2019-11-21 Gian Paolo Beretta , Enzo Zanchini

We consider C*-algebras of finite higher-rank graphs along with their rotational action. We show how the entropy theory of product systems with finite frames applies to identify the phase transitions of the dynamics. We compute the positive…

Operator Algebras · Mathematics 2020-01-24 Evgenios T. A. Kakariadis

In the general case of a many-body Hamiltonian system, described by an autonomous Hamiltonian $H$, and with $K\geq 0$ independent conserved quantities, we derive the microcanonical thermodynamics. By a simple approach, based on the…

Statistical Mechanics · Physics 2015-06-04 Roberto Franzosi

In mesoscopic superconductor/normal-metal/superconductor (SNS) heterostructures, it is known that the resistance of the normal metal between the superconductors has a strong temperature dependence. Based on this phenomenon, we have…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 Z. Jiang , H. Lim , J. Eom , V. Chandrasekhar

An experiment to study the entropy method for an anomaly detection system has been performed. The study has been conducted using real data generated from the distributed sensor networks at the Intel Berkeley Research Laboratory. The…

Cryptography and Security · Computer Science 2017-03-14 A. A. Waskita , H. Suhartanto , L. T. Handoko

Change detection has been a hotspot in remote sensing technology for a long time. With the increasing availability of multi-temporal remote sensing images, numerous change detection algorithms have been proposed. Among these methods, image…

Computer Vision and Pattern Recognition · Computer Science 2019-09-06 Bo Du , Lixiang Ru , Chen Wu , Liangpei Zhang

Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for in situ combustion diagnostics, yielding images of both species concentration and temperature. The temperature image is generally obtained from the…

Image and Video Processing · Electrical Eng. & Systems 2020-07-14 Yong Bao , Rui Zhang , Godwin Enemali , Zhang Cao , Bin Zhou , Hugh McCann , Chang Liu

Doppler-broadening thermometry (DBT) can be used as a calibration-free primary reference suitable for practical applications, e.g. reliably measuring temperatures over long periods of time in environments where sensor retrieval is…

Atomic Physics · Physics 2026-01-14 Nicola Agnew , Veronika Vohníková , Erling Riis , Graham Machin , Aidan S. Arnold

A specific heat measuring instrument, with the capacity for the application of magnetic fields up to 9 Tesla, resorting to microcalorimetry chips from the company Xensor Integration, has been successfully assembled and its functioning…

Instrumentation and Detectors · Physics 2013-03-20 J. V. Leitao , P. van Dommelen , F. Naastepad , E. Brück

Warm dense matter is a highly energetic phase characterized by strong correlations, thermal effects, and quantum mechanical electrons. Thermal density functional theory is commonly used in simulations of this challenging phase, driving the…

Chemical Physics · Physics 2024-05-01 Brittany P. Harding , Zachary Mauri , Vera Xie , Aurora Pribram-Jones

The early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for online anomaly detection in battery packs that uses real-time…

Systems and Control · Electrical Eng. & Systems 2023-01-23 Kiran Bhaskar , Ajith Kumar , James Bunce , Jacob Pressman , Neil Burkell , Christopher D. Rahn

Specific heat has had an important role in the study of superfluidity and superconductivity, and could provide important information about the fractional quantum Hall effect as well. However, traditional measurements of the specific heat of…

Mesoscale and Nanoscale Physics · Physics 2017-06-14 B. A. Schmidt , K. Bennaceur , S. Gaucher , G. Gervais , L. N. Pfeiffer , K. W. West

Special relativity predicts a very small influence of temperature on mass of around ${\Delta}m/m{\approx}10^{-14}$. More than 100 years ago, experiments were performed that revealed a limit of $<10^{-8}$ for changes of a few degree at room…

General Physics · Physics 2021-05-06 M. Tajmar , G. Hentsch , T. Hutsch

We present two methods for measuring the noise temperature of a differential input single-ended output (DISO) Low-Noise Amplifier (LNA) connected to an antenna. The first method is direct measurement of the DISO LNA and antenna in an…

Instrumentation and Methods for Astrophysics · Physics 2018-11-14 Adrian Sutinjo , Daniel Ung , Budi Juswardy

This paper introduces a concept for change-point detection based on normalized entropy as a fundamental metric, aiming to overcome the dependence of traditional entropy methods on assumptions about data distribution and absolute scales.…

Applications · Statistics 2025-11-18 Qingqing Song , Shaoliang Xia

Knowledge Distillation (KD) trains a smaller student model using a large, pre-trained teacher model, with temperature as a key hyperparameter controlling the softness of output probabilities. Traditional methods use a fixed temperature…

Machine Learning · Computer Science 2025-11-19 Sibgat Ul Islam , Jawad Ibn Ahad , Fuad Rahman , Mohammad Ruhul Amin , Nabeel Mohammed , Shafin Rahman
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