Theoretical Prediction And Experimental Measurement Of Glare In Infrared Components And Imaging Systems

1981 ◽  
Author(s):  
Laurence J. Cox
Keyword(s):  
Theoretical Prediction ◽  
Experimental Measurement ◽  
Imaging Systems

scholarly journals Thermo-responsive and shape-morphing CF/GF composite skin: Full-field experimental measurement, theoretical prediction, and finite element analysis

2021 ◽  
Vol 160 ◽  
pp. 106874
Author(s):  
Jamal Seyyed Monfared Zanjani ◽  
Pouya Yousefi Louyeh ◽  
Isa Emami Tabrizi ◽  
Abdulrahman Saeed Al-Nadhari ◽  
Mehmet Yildiz
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Theoretical Prediction ◽  
Experimental Measurement ◽  
Element Analysis ◽  
Full Field ◽  
Shape Morphing

Theoretical Prediction and Experimental Measurement of the Degree of Cure of Anisotropic Conductive Films (ACFs) for Chip-On-Flex (COF) Applications

2008 ◽  
Vol 37 (10) ◽  
pp. 1580-1590 ◽  
Author(s):  
Chang-Kyu Chung ◽  
Yong-Min Kwon ◽  
Il Kim ◽  
Ho-Young Son ◽  
Kyo-Sung Choo ◽  
...  
Keyword(s):  
Theoretical Prediction ◽  
Experimental Measurement ◽  
Degree Of Cure ◽  
Conductive Films

scholarly journals Impact of correlations between $$a_{\mu }$$ and $$\alpha _\text {QED}$$ on the EW fit

2021 ◽  
Vol 81 (1) ◽  
Author(s):  
Bogdan Malaescu ◽  
Matthias Schott
Keyword(s):  
Theoretical Prediction ◽  
Experimental Measurement ◽  
Mass Range ◽  
Appropriate Use ◽  
Lower Mass ◽  
Vacuum Polarisation ◽  
Theoretical Predictions ◽  
Potential Impact ◽  
Parameter Values ◽  
The Impact

AbstractWe study the potential impact on the electroweak (EW) fits due to the tensions between the current determinations of the hadronic vacuum polarisation (HVP) contributions to the anomalous magnetic moment of the muon ($$a_{\mu }$$ a μ ), based on either phenomenological dispersion integrals using measured hadronic spectra or on Lattice QCD calculations. The impact of the current tension between the experimental measurement of $$a_{\mu }$$ a μ and the total theoretical prediction based on the phenomenological calculations of the HVP is also studied. The correlations between the uncertainties of the theoretical predictions of $$a_{\mu }$$ a μ and of the running of $$\alpha _\mathrm{QED}$$ α QED are taken into account in the studies. We conclude that the impact on the EW fit can be large in improbable scenarios involving global shifts of the full HVP contribution, while it is much smaller if the shift is restricted to a lower mass range and/or if the shift in $$\alpha _\text {QED}$$ α QED is obtained from that in $$a_{\mu }$$ a μ through appropriate use of the correlations. Indeed, the latter scenarios only imply at most a 2.6/16 increase in the $$\chi ^2/\text {n.d.f.} $$ χ 2 / n.d.f. of the EW fits and relatively small changes for the resulting fit parameter values.

scholarly journals Theoretical prediction and experimental measurement of isothermal extrudate swell of monodisperse and bidisperse polystyrenes

2017 ◽  
Vol 61 (5) ◽  
pp. 931-945 ◽  
Author(s):  
Ben Robertson ◽  
Richard L. Thompson ◽  
Tom C. B. McLeish ◽  
Ian Robinson
Keyword(s):  
Theoretical Prediction ◽  
Experimental Measurement ◽  
Extrudate Swell

scholarly journals The Muon g − 2 experiment at Fermilab

2019 ◽  
Vol 212 ◽  
pp. 05003 ◽  
Author(s):  
Alexander Keshavarzi
Keyword(s):  
Theoretical Prediction ◽  
Magnetic Anomaly ◽  
Experimental Measurement ◽  
Previous Experiment ◽  
New Physics ◽  
Statistical Uncertainty ◽  
Experimental Programme ◽  
Muon Magnetic Anomaly

The current ~ 3.5σ discrepancy between the experimental measurement and theoretical prediction of the muon magnetic anomaly, aµ, stands as a potential indication of the existence of new physics. The Muon g − 2 experiment at Fermilab is set to measure aµ with a four-fold improvement in the uncertainty with respect to previous experiment, with an aim to determine whether the g − 2 discrepancy is well established. The experiment recently completed its first physics run and a summer programme of essential upgrades, before continuing on with its experimental programme. The Run-1 data alone are expected to yield a statistical uncertainty of 350 ppb and the publication of the first result is expected in late-2019.

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