Sadhana Dash’s scientific contributions

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Publications (1)


FIG. 1: Illustration of the typical topologies for the two S 0 limits in the azimuthal plane.
FIG. 2: The mean transverse momentum (⟨p T ⟩) distributions in different multiplicity classes of events for the PYTHIA8 and HERWIG7 event generators.
FIG. 4: The variation of mean transverse momentum ⟨⟨p T ⟩⟩ (left) and corresponding fluctuations measurement, ⟨∆p Ti ∆p Tj ⟩/⟨⟨p T ⟩⟩ (right), in pp collisions at √ s=13 TeV plotted as a function of ⟨N ch ⟩ for PYTHIA8 and HERWIG7. The kinematic window of acceptance for the charged particles are |η| ≤ 0.8 and 0.2 ≤ p T ≤ 2.0 GeV/c.
FIG. 5: The different measurements of the skewness shown as a function of ⟨N ch ⟩ in pp collisions at √ s=13 TeV for PYTHIA8 and HERWIG7 models.
FIG. 6: Comparison of ⟨⟨p T ⟩⟩ and normalised two particle correlator, ⟨∆p Ti ∆p Tj ⟩/⟨⟨p T ⟩⟩ in spherocity integrated (left), jetty (middle) and isotropic (right) events for PYTHIA8 and HERWIG7.

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To investigate event-by-event fluctuations of mean transverse momentum in proton-proton collisions at s\sqrt{s} = 13 TeV with PYTHIA8 and HERWIG7 models
  • Preprint
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February 2025

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5 Reads

Subhadeep Roy

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Tanu Gahlaut

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Sadhana Dash

Estimations of event-by-event mean transverse momentum (pT\langle p_{\rm T} \rangle) fluctuations are reported in terms of the integral correlator, ΔpTΔpT\langle \Delta p_{\rm T} \Delta p_{\rm T}\rangle, and the skewness of event-wise pT\langle p_{\rm T} \rangle distribution in proton-proton (pp) collisions at s=13\sqrt{s}=13 TeV with the Monte Carlo event generators PYTHIA8 and HERWIG7. The final-state charged particles with transverse momentum (pTp_{\rm T}) and pseudorapidity (η\eta) ranges 0.15pT2.00.15 \leq p_{\rm T}\leq 2.0 GeV/c and η0.8|\eta| \leq 0.8 were considered for the investigation. The correlator, ΔpTΔpT\langle \Delta p_{\rm T} \Delta p_{\rm T}\rangle, is observed to follow distinct decreasing trends with average charged particle multiplicity (Nch\langle N_{\rm ch} \rangle) for the models. Furthermore, both models yield positive finite skewness in low-multiplicity events. The fluctuations are additionally studied using the transverse spherocity estimator (S0S_{\rm 0}) to comprehend the relative contributions from hard scattering (jets) and other soft processes to the observed fluctuations. Comparing the model predictions would enhance our understanding of fluctuation dynamics in pp collisions, establishing a crucial baseline for studying non-trivial fluctuations in heavy-ion collisions.

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