Abstract <p>The Baryonic Matter at Nuclotron (BM@N) experiment is designed to investigate the properties of matter under extreme conditions of high baryon density. In early 2023, BM@N conducted its first physics run, collecting hundreds of millions of collisions between xenon and cesium iodide ions at a beam energy of 3.8 GeV per nucleon (<InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11450_2025_3649_Article_IEq5.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="67" /> </InlineMediaObject> <EquationSource Format="TEX">\(\sqrt{s_{NN}}=\)</EquationSource> <!--NuclPhys2560126Mamaev-m5--> </InlineEquation> 3.26 GeV). We present preliminary results for the directed flow (<InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11450_2025_3649_Article_IEq6.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="16" /> </InlineMediaObject> <EquationSource Format="TEX">\(v_{1}\)</EquationSource> <!--NuclPhys2560126Mamaev-m6--> </InlineEquation>) of protons relative to the spectator symmetry plane. We discuss the potential impact of non-flow correlations on the final results and estimate the associated systematic uncertainty.</p>

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Estimating the Systematic Uncertainty Due to Non-Flow Correlations in the Proton Directed Flow Measured in Xe \({+}\) CsI Collisions at 3.8\({A}\) GeV with BM@N

  • Mikhail Mamaev

摘要

Abstract

The Baryonic Matter at Nuclotron (BM@N) experiment is designed to investigate the properties of matter under extreme conditions of high baryon density. In early 2023, BM@N conducted its first physics run, collecting hundreds of millions of collisions between xenon and cesium iodide ions at a beam energy of 3.8 GeV per nucleon ( \(\sqrt{s_{NN}}=\) 3.26 GeV). We present preliminary results for the directed flow ( \(v_{1}\) ) of protons relative to the spectator symmetry plane. We discuss the potential impact of non-flow correlations on the final results and estimate the associated systematic uncertainty.