Results 11 to 20 of about 244,565 (361)

Partitional calorimetry. [PDF]

open access: yesJournal of Applied Physiology, 2019
For thermal physiologists, calorimetry is an important methodological tool to assess human heat balance during heat or cold exposures. A whole body direct calorimeter remains the gold standard instrument for assessing human heat balance; however, this ...
M. Cramer, O. Jay
semanticscholar   +4 more sources

Particle Flow Calorimetry [PDF]

open access: yesarXiv, 2022
The motivation for PF calorimetry is to experimentally measure the energy of hadron jets with excellent resolution. In particle flow designs, sigma(E)/E < 5% should be possible for a range of jet energies from 50 GeV to 250 GeV, important particularly for experiments at electron-positron colliders (ILC, CLIC, FCCee, CEPC).
Joshua Romphf   +2 more
arxiv   +4 more sources

Dual-readout calorimetry [PDF]

open access: yesReviews of Modern Physics, 2017
In the past 20 years, dual-readout calorimetry has emerged as a technique for measuring the properties of high-energy hadrons and hadron jets that offers considerable advantages compared with the instruments that are currently used for this purpose in ...
N. Akchurin   +22 more
semanticscholar   +6 more sources

Fuel Calorimetry [PDF]

open access: greenScientific American, 1887
n ...
B. H. Thwaite
openalex   +3 more sources

Calorimetry at FCC-ee [PDF]

open access: yesThe European Physical Journal Plus, 2021
AbstractWith centre-of-mass energies covering the Z pole, the WW threshold, the HZ production, and the top-pair threshold, the FCC-ee offers unprecedented possibilities to measure the properties of the four heaviest particles of the standard model (the Higgs, Z, and W bosons, and the top quark) and also those of the b and c quarks and of the $$\tau $$
Martin Aleksa   +4 more
openaire   +4 more sources

The Use of a Two-Dimensional Electrical Resistivity Tomography (2D-ERT) as a Technique for Cadmium Determination in Cacao Crop Soils

open access: yesApplied Sciences, 2020
Cadmium (Cd) is a non-essential heavy metal naturally occurring in the earth’s crust or due to anthropogenic activity. The presence of this metal in cacao farm soils represents a significant issue as levels are now regulated in products derived from ...
Daniel Bravo, Javier Benavides-Erazo
doaj   +1 more source

Correlation between bioactivity and thermodynamic stability of glasses of the molar formula 20.15[(2.038 + x)SiO2-(1.457 - x)Na2O]-2.6P2O5-25.73CaO-1.22MgO

open access: yesAIMS Materials Science, 2020
The purpose of this study is to establish the influence of composition on the glass transition temperature, density, enthalpy of dissolution in an acid bath and bioactivity in glasses of the molar formula 20.15[(2.038 + x)SiO2-(1.457 − x)Na2O]-2.6P2O5-25.
Amadou Kouyaté   +4 more
doaj   +1 more source

Quantum Systems for Enhanced High Energy Particle Physics Detectors

open access: yesFrontiers in Physics, 2022
Developments in quantum technologies in the last decades have led to a wide range of applications, but have also resulted in numerous novel approaches to explore the low energy particle physics parameter space.
M. Doser   +8 more
doaj   +1 more source

Multi-Calorimetry in Light-based Neutrino Detectors [PDF]

open access: yesJ. High Energ. Phys. 2024, 2 (2024), 2023
Neutrino detectors are among the largest photon detection instruments, built to capture scarce photons upon energy deposition. Many discoveries in neutrino physics, including the neutrino itself, are inseparable from the advances in photon detection technology, particularly in photo-sensors and readout electronics, to yield ever higher precision and ...
arxiv   +1 more source

Calorimetry with deep learning: particle simulation and reconstruction for collider physics [PDF]

open access: yesThe European Physical Journal C, 2019
Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of single isolated particles produced in high-energy physics collisions. We train neural networks
Dawit Belayneh   +15 more
semanticscholar   +1 more source

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