Coulomb Fission Event Resolved Progeny Droplet Production from Isolated Evaporating Methanol Droplets

2001 ◽  
Vol 73 (18) ◽  
pp. 4499-4507 ◽  
Author(s):  
Xiao Feng ◽  
Michael J. Bogan ◽  
George R. Agnes
2007 ◽  
Vol 91 (6) ◽  
pp. 064104 ◽  
Author(s):  
Wenhua Gu ◽  
Philip Edward Heil ◽  
Hyungsoo Choi ◽  
Kyekyoon Kim

2021 ◽  
Author(s):  
Kai Man Alexander Ho ◽  
Hywel Davies ◽  
Ruth Epstein ◽  
Paul Bassett ◽  
Aine Hogan ◽  
...  

Background: COVID-19 has restricted singing in communal worship. We sought to understand variations in droplet transmission and the impact of wearing face masks. Methods: Using rapid laser planar imaging, we measured droplets while participants exhaled, said "hello" or "snake", sang a note or "Happy Birthday", with and without surgical face masks. We measured mean velocity magnitude (MVM), time averaged droplet number (TADN) and maximum droplet number (MDN). Multilevel regression models were used. Results: In 20 participants, sound intensity was 71 Decibels (dB) for speaking and 85 dB for singing (p<0.001). MVM was similar for all tasks with no clear hierarchy between vocal tasks or people and >85% reduction wearing face masks. Droplet transmission varied widely, particularly for singing. Masks decreased TADN by 99% (p<0.001) and MDN by 98% (p<0.001) for singing and 86-97% for other tasks. Masks reduced variance by up to 48%. When wearing a mask, neither singing task transmitted more droplets than exhaling. Conclusions: Wide variation exists for droplet production. This significantly reduced when wearing face masks. Singing during religious worship wearing a face mask appears as safe as exhaling or talking. This has implications for UK public health guidance during the COVID-19 pandemic.


2001 ◽  
Vol 687 (1-2) ◽  
pp. 178-183 ◽  
Author(s):  
S. Ilievski ◽  
T. Aumann ◽  
K. Boretzky ◽  
J. Cub ◽  
W. Dostal ◽  
...  

1974 ◽  
Vol 221 (1) ◽  
pp. 37-44 ◽  
Author(s):  
C. Ngô ◽  
J. Péter ◽  
B. Tamain
Keyword(s):  

2015 ◽  
Vol 92 (2) ◽  
Author(s):  
Peter L. L. Walls ◽  
Louis Henaux ◽  
James C. Bird
Keyword(s):  

2020 ◽  
Vol 239 ◽  
pp. 05003
Author(s):  
R. Vogt ◽  
J. Randrup ◽  
P. Talou ◽  
J. T. Van Dyke ◽  
L. A. Bernstein

For many years, the state of the art for simulating fission in transport codes amounted to sampling from average distributions. However, such "average" fission models have limited capabilities. Energy is not explicitly conserved and no correlations are available because all particles are emitted independently. However, in a true fission event, the emitted particles are correlated. Recently, Monte Carlo codes generating complete fission events have been developed, thus allowing the use of event-by-event analysis techniques. Such techniques are particularly useful because the complete kinematic information is available for the fission products and the emitted neutrons and photons. It is therefore possible to extract any desired observables, including correlations. The fast event-by-event fission code FREYA (Fission Reaction Event Yield Algorithm) generates large samples of complete fission events, employing only a few physics-based parameters. A recent optimization of these parameters for the isotopes in FREYA that undergo spontaneous fission is described and results are presented. The sensitivity of neutron observables in FREYA to the input yield functions is also discussed and the correlation between the average neutron multiplicity and fragment total kinetic energy is quantified.


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