Results 21 to 30 of about 57,951,730 (260)

Measurement of b hadron lifetimes in pp collisions at $$\sqrt{s} = 8$$ s=8 $$\,\text {Te}\text {V}$$ TeV

open access: yesEuropean Physical Journal C: Particles and Fields, 2018
Measurements are presented of the lifetimes of the $${\mathrm {B}^0}$$ B0 , $$\mathrm {B}^0_\mathrm {s}$$ Bs0 , $$\mathrm {\Lambda }_\mathrm {b} ^0$$ Λb0 , and $$\mathrm {B}_\mathrm {c}^+$$ Bc+ hadrons using the decay channels $${\mathrm {B}^0 ...
A. M. Sirunyan   +2254 more
doaj   +1 more source

Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission [PDF]

open access: yesAtmospheric Chemistry and Physics, 2018
Measurements from actinic flux spectroradiometers on board the NASA DC-8 during the Atmospheric Tomography (ATom) mission provide an extensive set of statistics on how clouds alter photolysis rates (J values) throughout the remote Pacific and Atlantic
S. R. Hall   +20 more
doaj   +1 more source

Analysis of contact Cauchy–Riemann maps III: Energy, bubbling and Fredholm theory

open access: yesBulletin of Mathematical Sciences, 2023
In [Y.-G. Oh and R. Wang, Analysis of contact Cauchy-Riemann maps I: A priori [Formula: see text] estimates and asymptotic convergence, Osaka J. Math. 55(4) (2018) 647–679; Y.-G. Oh and R.
Yong-Geun Oh
doaj   +1 more source

Residual sweeping errors in turbulent particle pair diffusion in a Lagrangian diffusion model. [PDF]

open access: yesPLoS ONE, 2017
Thomson, D. J. & Devenish, B. J. [J. Fluid Mech. 526, 277 (2005)] and others have suggested that sweeping effects make Lagrangian properties in Kinematic Simulations (KS), Fung et al [Fung J. C. H., Hunt J. C. R., Malik N. A. & Perkins R. J. J.
Nadeem A Malik
doaj   +1 more source

Measurement of the $${\eta _{c}} (1S)$$ ηc(1S) production cross-section in $$p $$ p $$p $$ p collisions at $$\sqrt{s} = 13$$ s=13 $$\, \text {TeV}$$ TeV

open access: yesEuropean Physical Journal C: Particles and Fields, 2020
Using a data sample corresponding to an integrated luminosity of 2.0 $$\, \text {fb} ^{-1}$$ fb-1 , collected by the LHCb experiment, the production of the $${\eta _{c}} (1S)$$ ηc(1S) state in proton–proton collisions at a centre-of-mass energy of ...
R. Aaij   +917 more
doaj   +1 more source

Das zweite Text+ Plenary findet am 28.+29.9.2023 in Göttingen statt!

open access: yes, 2023
Gastgeberin des diesjährigen Plenarys von Text+ ist die Niedersächsische Staats- und Universitätsbibliothek Göttingen. Die Tagung steht unter dem Motto "Connecting People and Data". Alle Interessierten sind herzlich eingeladen!
Text+ Blog-Redaktion
core   +1 more source

Prompt and non-prompt $$\hbox {J}/\psi $$ J/ψ production and nuclear modification at mid-rapidity in p–Pb collisions at $$\mathbf{\sqrt{{ s}_{\text {NN}}}= 5.02}$$ sNN=5.02  TeV

open access: yesEuropean Physical Journal C: Particles and Fields, 2018
A measurement of beauty hadron production at mid-rapidity in proton-lead collisions at a nucleon–nucleon centre-of-mass energy $$\sqrt{s_\text {NN}}=5.02$$ sNN=5.02 TeV is presented.
S. Acharya   +1010 more
doaj   +1 more source

Charmonium production in pNe collisions at $$\sqrt{s_{\scriptscriptstyle \text {NN}}} =68.5$$ s NN = 68.5 GeV

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
The measurement of charmonium states produced in proton-neon ( $$p\text {Ne}$$ p Ne ) collisions by the LHCb experiment in its fixed-target configuration is presented.
R. Aaij   +1042 more
doaj   +1 more source

Electron cyclotron heating assisted start-up experiments in J-TEXT [PDF]

open access: yesEPJ Web of Conferences, 2023
Electron cyclotron heating (ECH) breakdown and burn-through assist has been adopted to make the ITER start-up, which uses a low toroidal electric field of about 0.3 V/m, more robust.
Zhang Junli   +14 more
doaj   +1 more source

Robust feature space separation for deep convolutional neural network training

open access: yesDiscover Artificial Intelligence, 2021
This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels.
Ali Sekmen   +4 more
doaj   +1 more source

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