A comprehensive study of energy dependence of particle ratios in pp collisions from SPS to LHC energies

A comprehensive study has been performed to estimate the kaon to pion (K-+/-/pi(+/-)) and total kaon to total pion (K/pi) yield ratios as a function of centre of mass energy in pp collisions at different energies, i.e. root s = 6.3, 17.3, 62.4, 200, 900 GeV, 2.76 TeV, 7 TeV, 13 TeV and 14 TeV using EPOS1.99, EPOS-LHC, HIJING, QGSJETII-03 and Sibyll2.3d model simulations. NA61/SHINE experiment reported that K+/pi(+) yield ratio exhibits rapid changes at the SPS energy range. A horn-like structure appears in K/pi yield ratio as a function of collision energy. Significant presence of horn in K+/pi(+) and K-/pi(-) yield ratio is suggested by experimental data at lower energies, which is confirmed by HIJING and EPOS-LHC models. A smooth increase in K/pi yield ratio is also seen at higher energies. The model simulations predict similar increase in yield ratio with increasing energies. On the basis of previous available measurements, we also study model predictions of these yield ratios at root s = 13 and 14 TeV where no data are available. Almost all models suggest a saturation in the yield ratio within statistical fluctuations at these energies except EPOS1.99 and QGSJETII-03 which slightly overpredict the yield ratio. These systematic comparisons are helpful to apply possible constraints on various hadronic event generators to significantly improve the predictions of standard model physics as well as for the understanding of underlying physics mechanisms in high-energy collisions.

Automated summary

A comprehensive study has been performed to estimate the kaon to pion (K-+/-/pi(+/-)) and total kaon to total pion (K/pi) yield ratios as a function of centre of mass energy in pp collisions at different energies. The study reveals the presence of a horn-like structure in the K/pi yield ratio as a function of collision energy. The model simulations predict an increase in yield ratio with increasing energies. The comparisons between model predictions and experimental data can help improve the predictions of standard model physics and understand the underlying physics mechanisms in high-energy collisions.