Soft and hard interactions in pp̅ collisions at √s =1800 and 630 GeV
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Citations
Tuning Monte Carlo Generators: The Perugia Tunes
ALICE: Physics Performance Report, Volume II
Charged-particle multiplicities in pp interactions measured with the ATLAS detector at the LHC
Multiple interactions and the structure of beam remnants
WW scattering at the CERN LHC
Related Papers (5)
Charged particle multiplicity distributions at 200 and 900 GeV c.m. energy
A multiple-interaction model for the event structure in hadron collisions
A study of the general characteristics of proton-antiproton collisions at √ s=0.2 to 0.9 TeV
Frequently Asked Questions (14)
Q2. What is the VTX used in this analysis?
The VTX is used in this analysis to find the z position of event vertices, defined as a set of tracks with pT greater than about 50 MeV/c that converge to the same point along the z axis.
Q3. How many events are in the minimum bias sample?
After all event selection cuts, 2 079 558 events remain in the full minimum bias sample at As51800 GeV ~runs 1A 11B11C), and 1 963 157 in that at As5630 GeV ~run 1C!.
Q4. What is the r-f position of a track?
Axial superlayers have 12 radially separated layers of sense wires, parallel to the z axis ~the beam axis!, that measure the r-f position of a track.
Q5. What is the dispersion expected to decrease with increasing multiplicity?
The dispersion is expected to decrease with increasing multiplicity and to converge to zero when m→` if only statistical fluctuations are present.
Q6. What can be the effect of misclassification or identification of vertices?
Misclassification or identification of vertices can strongly influence the pT and multiplicity distributions, particularly the latter.
Q7. What is the effect of the correction for gamma conversions, secondary particle interactions and?
The systematic uncertainty due to the correction for gamma conversions, secondary particle interactions and particle decays is estimated to be about 1%, almost independent of multiplicity and pT .
Q8. What is the effect of particle correlations in the multibody final state?
Large non-statistical fluctuations of the mean event pT are a consequence of particle correlations in the multibody final state @26#.
Q9. What is the effect of the inverse multiplicity on the mean event pT?
the mean pT increases at low multiplicity even in the soft sample, which should be highly depleted in high ET events.
Q10. What is the effect of using widely different efficiency corrections on the distributions?
Theimpact of using widely different efficiency corrections on the multiplicity and pT distributions is—at most—as large as the statistical uncertainty.
Q11. What is the dispersion versus inverse multiplicity for the soft and hard samples?
The dispersion versus inverse multiplicity for the soft and hard samples, shown in Figs. 15 and 16, confirms that this effect is related to the contribution of jet production which, as discussed in @27#, increases eventby-event fluctuations.
Q12. What is the ratio of the dispersion in the soft sample at the two energies?
The ratio of the dispersion in the soft sample at the two energies is flat as a function of multiplicity, a feature not exhibited by the hard sample.
Q13. How much is the deviation in the ratio of pT distributions at the two energies?
The deviation in the ratio of pT distributions at the two energies is almost constant at about 10% up to a pT around 11 GeV/c , increasing to 15% as pT increases.
Q14. How much slope of the inclusive pT distribution increases for minimum bias samples?
It is known that for minimum bias samples, the slope of the inclusive pT distribution increases steadily by some power of log s up to Tevatron energies @10,15#.