Event generator analysis for singly strange particle production data

Physics – Nuclear Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12

Particle And Resonance Production

Scientific paper

We have used the event generator LUCIAE to analyze the data of singly strange particle production in pp, pA, and AA reactions at 200A GeV and compared them with the corresponding experimental data and theoretical results of HIJING, VENUS, and RQMD. The results indicate that for reproducing the NA35 data of AA reactions it requires a somewhat larger s quark suppression factor (s=0.3) and shorter formation time (τ=1 fm/c) of produced particles than for reproducing the experimental data of pp and pA (s=0.2 and τ=1.5 fm/c). This might be understood intuitively from the relationship between the effective string tension and the violence of collision. However, the NA36 data of the negative multiplicity dependence of Λ in S + Pb reaction at 200 A GeV could not be well reproduced by LUCIAE, VENUS, or RQMD, and the NA36 data prefers model parameters of s=0.2 and τ=1.5 fm/c especially, this seems hard to understand and needs further studies. From comparing the NA35 data of the rapidity distribution of Λ in S + Ag reactions to the corresponding results of LUCIAE one knows that the effect of varying the s quark suppression factor from 0.2 to 0.3 is smaller than the effect of rescattering with respect to strangeness production.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Event generator analysis for singly strange particle production data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Event generator analysis for singly strange particle production data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Event generator analysis for singly strange particle production data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1322849

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.