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LHCf is a compact experiment for measuring the energy and transverse momentum spectra of the neutral particles emitted in the high rapidity range at an LHC interaction point.
The design incorporates high rate detectors and particle identification up to a transverse momentum of ∼20 GeV/c with complete azimuthal coverage over almost the entire RHIC rapidity range.
The TOTEM experiment at LHC has chosen the triple Gas Electron Multiplier (GEM) technology for its T2 telescope which will provide charged track reconstruction in the rapidity range 5.3<|η|<6.5 and a fully inclusive trigger for diffractive events.
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However, no model perfectly explains the experimental results over the entire pseudo-rapidity range.
The pseudo-rapidity range |η|<2.5 will be equipped with a total of 61 m2 of silicon microstrip sensors.
The muon spectrometer of the ATLAS detector for the Large Hadron Collider is designed to provide a muon transverse momentum resolution of 2%10%% for momenta between 6 GeV and 1 TeV over a pseudo-rapidity range of |η|⩽2.7.
The QGSJET II-03 model predicts a high neutron production rate at the highest pseudo-rapidity range similar to our results, and the DPMJET 3.04 model describes our results well at the lower pseudo-rapidity ranges.
In the framework of the ALICE physics program, the goal of the muon spectrometer is the study of quarkonia and open heavy flavors production via the muonic decay channel in a wide range of transverse momentum and in the pseudo-rapidity range −4.0<η<−2.5.
We report the neutron-energy spectra for LHC s= 7 TeV proton proton collisions with the pseudo-rapidity η ranging from 8.81 to 8.99, from 8.99 to 9.22, and from 10.76 to infinity.
Despite the relative rapidity of these mean range extensions, there is evidence that many species have not fully realised potential range boundary extensions because other factors, such as habitat loss and fragmentation, are acting to limit both their population size and the effectiveness of their dispersal [12].
Tweets text has the features of a large amount of data, covering a wide range and rapidity, so it impossible to monitor hot events and analyze guidance of public opinion manually.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com