Fri·Aug 17, 2018Friday·August 17, 2018

1. 01*

   Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

   Volodymyr Vovchenko🇩🇪 · Benjamin Donigus🇩🇪 · Horst Stoecker🇩🇪

   The statistical model with exact conservation of baryon number, electric charge, and strangeness - the Canonical Statistical Model (CSM) - is used to analyze the dependence of yields of light nuclei at midrapidity on charged pion multiplicity at the LHC. The CSM calculations are performed assuming baryon-symmetric matter, using the recently developed Thermal-FIST package. The light nuclei-to-proton yield ratios show a monotonic increase with charged pion multiplicity, with a saturation at the corresponding grand-canonical values in the high-multiplicity limit, in good qualitative agreement with the experimental data measured by the ALICE collaboration in pp and Pb-Pb collisions at different centralities and energies. Comparison with experimental data at low multiplicities shows that exact conservation of charges across more than one unit of rapidity and/or a chemical freeze-out temperature which decreases with the charged pion multiplicity improves agreement with the data.

   ↳ hep-phnucl-exnucl-thPLB(2018)·105 citations
2. 02*

   Treatment of material radioassay measurements in projecting sensitivity for low-background experiments

   R.H.M. Tsang🇺🇸 · I.J. Arnquist🇺🇸 · E.W. Hoppe🇺🇸 · J.L. Orrell🇺🇸 · R. Saldanha🇺🇸

   By analyzing sensitivity projections as a statisical estimation problem, we evaluated different ways of treating radioassay measurement results (values and upper limits) when projecting sensitivity for low-background experiments. We developed a figure of merit that incorporates a notion of conservativeness to quantitatively explore the consequences of attempts to bias sensitivity projections, and proposed a method to report sensitivity.

   ↳ physics.data-anhep-exnucl-ex2 citations
3. 03*

   Bayesian extraction of jet energy loss distributions in heavy-ion collisions

   Yayun He (CCNU, LBNL)🇨🇳 · Long-Gang Pang (LBNL, UCB)🇺🇸 · Xin-Nian Wang (CCNU, LBNL)🇺🇸

   Based on the factorization in perturbative QCD, a jet cross sections in heavy-ion collisions can be expressed as a convolution of the jet cross section in $p+p$ collisions and a jet energy loss distribution. Using this simple expression and the Markov Chain Monte Carlo method, we carry out Bayesian analyses of experimental data on jet spectra to extract energy loss distributions for both single inclusive and $\gamma$-triggered jets in $Pb+Pb$ collisions with different centralities at two colliding energies at the Large Hadron Collider. The average jet energy loss has a dependence on the initial jet energy that is slightly stronger than a logarithmic form and decreases from central to peripheral collisions. The extracted jet energy loss distributions with a scaling behavior in $x=\Delta p_T/⟨\Delta p_T⟩$ have a large width. These are consistent with the linear Boltzmann transport model simulations, in which the observed jet quenching is caused on the average by only a few out-of-cone scatterings.

   ↳ hep-phhep-exnucl-exnucl-thPRL(2019)·62 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.