1 Introduction

The interaction between antikaons (\({\overline{\textrm{K}}}\)) and nucleons (N) is one of the main building blocks of low-energy effective field theories aiming at describing the non-perturbative regime of the strong interaction with strangeness degrees of freedom. The \({\overline{\textrm{K}}}{\textrm{N}}\) interaction is characterised by the presence of several coupled channels, such as \(\uppi ^0\Lambda \) and \(\uppi \Sigma \) [1, 2], with the same quantum numbers as \({\overline{\textrm{K}}}{\textrm{N}}\) and an invariant mass below that of the \({\overline{\textrm{K}}}{\textrm{N}}\) system [3,4,5,6] (i.e. sub-threshold). This coupled channel dynamics is responsible for the inelastic component of the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction, accounting for transitions like [7, 8].

While the coupling of \({\overline{\textrm{K}}}{\textrm{N}}\) to \(\uppi ^0\Lambda \) is negligible [9, 10], the one to \(\uppi \Sigma \) is dominant in the sub-threshold region. At low energy, the dynamics between the \({\overline{\textrm{K}}}{\textrm{N}}\) and the \(\uppi \Sigma \) channel leads to the formation of the \(\Lambda (1405)\) resonance, approximately 27 MeV below the threshold. The internal structure of the \(\Lambda (1405)\) has been widely investigated and currently it is the only accepted molecular state arising from the interplay of the \({\overline{\textrm{K}}}{\textrm{N}}\)\(\uppi \Sigma \) poles [11,12,13]. Measurements of the \(\Lambda (1405)\) spectral shape in the strong decays to the \(\uppi \Sigma \) final state can provide information on the \({\overline{\textrm{K}}}{\textrm{N}}\)\(\uppi \Sigma \) coupling, but direct access is mainly hampered by the limited amount of data, by the presence of interference terms in the total amplitude due to baryonic resonances in the final state [14,15,16,17,18,19], and ultimately by differences in the theoretical description of the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction below threshold. In fact, the behaviours of the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction and of the coupling to the \(\uppi \Sigma \) channel in the sub-threshold region are anchored to the knowledge of such interaction above and at the threshold. The measurement of kaonic hydrogen [20] provides the most precise constraint on the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction at the threshold, but the coupled channel dynamics is included in the extracted \({\overline{\textrm{K}}}{\textrm{N}}\) scattering parameters only indirectly [3].

Scattering experiments available above the \({\overline{\textrm{K}}}{\textrm{N}}\) threshold, in which the initial state (typically \(\textrm{K}^{-}\)p) is fixed [21,22,23,24,25], represent the largest source of constraints for the available theoretical approaches [26,27,28,29,30,31,32,33,34,35]. Access to the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction and to the different inelastic couplings is achieved by measurements of elastic and inelastic cross sections of the different final states. In the specific case of the \(\textrm{K}^{-}\)p system, another inelastic channel, \({\overline{\textrm{K}}}^0\)n, appears approximately 5 MeV above the \(\textrm{K}^{-}\)p threshold, due to the mass difference between neutral kaons and neutrons and their charged isospin partners (\(\textrm{K}^{-}\), p). A cusp structure in the total \(\textrm{K}^{-}\)p cross section is predicted to occur at the opening of this coupled channel [36], but no evidence in scattering data has been observed yet due to the insufficient statistical precision [23, 25, 37]. As a consequence, the theoretical description of the dynamics between the \(\textrm{K}^{-}\)p and \({\overline{\textrm{K}}}^0\)n channels is currently not fully constrained by experimental data.

Recently, this scenario changed due to the measurements of correlations of (\(\textrm{K}^{-}\)p \(\oplus \) \(\textrm{K}^{+}\) \(\overline{\textrm{p}}\)) (for brevity \(\textrm{K}^{-}\)p) pairs in pp collisions at centre-of-mass energies of \(\sqrt{s}~=~5.02\) Te, 7 TeV and 13 TeV by the ALICE Collaboration, which provided the first experimental evidence for the opening of the \({\overline{\textrm{K}}}^0\)n channel and the most precise data on the \(\textrm{K}^{-}\)p interaction down to zero relative momenta [38]. The femtoscopy technique [39, 40] applied in small colliding systems, in which particles are emitted by a source with typical size of about 1 fm, can easily access the short-range part of the strong interaction in which the coupled channel dynamics plays an important role. The measured correlation functions show great sensitivity to the underlying strong potential [41,42,43,44,45] and to the different inelastic channels, affecting both the shape and magnitude of the femtoscopic signal [7, 8, 46]. The recent results by the ALICE Collaboration on \(\textrm{K}^{-}\)p pairs in central Pb–Pb collisions showed quantitatively that the contributions of (\({\overline{\textrm{K}}}^0\)n \(\oplus \) K\(^0\overline{\textrm{n}}\)) (hereafter \({\overline{\textrm{K}}}^0\)n) and \(\uppi \Sigma \) channels are negligible for inter-particle distances of 5 fm and above [47]. The results obtained in pp and Pb–Pb collisions clearly suggest the possibility to constrain the \(\textrm{K}^{-}\)p interaction and the different inelastic coupling by measuring \(\textrm{K}^{-}\)p pairs in different colliding systems.

In this article, the femtoscopic measurements of (\(\textrm{K}^{+}\)p \(\oplus \) \(\textrm{K}^{-}\) \(\overline{\textrm{p}}\)) (hereafter \(\textrm{K}^{+}\)p) and \(\textrm{K}^{-}\)p pairs obtained in three different centrality intervals in p–Pb collisions at collision energy per nucleon pair \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te and in three different centrality intervals in peripheral Pb–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te are presented. Different centrality intervals were chosen to probe different radii of the particle emitting source. Results from the reanalysis of the femtoscopic data obtained in minimum bias pp collisions at \(\sqrt{s}~=~13\) Te shown in Ref. [38] are also included. In this study, the data from Ref. [38] are corrected for the finite experimental momentum resolution and analysed again, employing the same procedure used for the other colliding systems. The same-charge pairs, \(\textrm{K}^{+}\)p, for which the interaction is well known and no inelastic channels are present [48, 49], are used as a benchmark to extract information on the emitting source size needed to evaluate the correlation function. The measured correlations of \(\textrm{K}^{-}\)p are compared with state-of-the-art chiral potentials [8, 50] derived in a coupled channel approach. A detailed investigation on the strong coupling to \(\uppi \Sigma \) and \({\overline{\textrm{K}}}^0\)n channels is performed in the three different colliding systems.

This paper is organised as follows: a short description of the ALICE detector can be found in Sect. 2 while in Sect. 3 the event and track selection criteria are discussed together with the particle identification technique and the systematic uncertainties evaluation on the correlation function. In Sect. 4, the analysis and the modeling of the correlation function are introduced and the determination of the emitting source size is described; the obtained results are presented and discussed in Sect. 5. Finally, in Sect. 6, conclusions and future outlooks are provided.

2 The ALICE detector

A detailed description of the ALICE experimental setup can be found in Refs. [51, 52] and references therein. The main sub-detectors used in this analysis are: the V0 detectors [53], the Inner Tracking System (ITS) [54], the Time Projection Chamber (TPC) [55] and the Time-Of-Flight (TOF) detector [56]. The ITS, TPC and TOF are located inside a solenoidal magnet that provides a uniform field of 0.5 T directed along the beam direction. All the detectors in the central barrel region used for this analysis (ITS, TPC and TOF) cover the full azimuth and have a pseudorapidity coverage of \(|\eta |<0.9\).

The V0 detector consists of two arrays of scintillation counters placed on either side of the interaction point: one covering the pseudorapidity interval \(2.8< \eta < 5.1\) (V0A) and the other one covering \(-3.7< \eta < -1.7\) (V0C). The scintillator arrays have an intrinsic time resolution better than 0.5 ns. Their timing information is used in coincidence for offline rejection of events produced by the interaction of the beams with residual gas in the vacuum pipe. The V0 scintillators are used to determine the collision centrality from the measured charged-particle multiplicity [57,58,59].

The ITS, designed to provide high-resolution track points close to the beam line, is composed of three subsystems of silicon detectors placed around the interaction region with a cylindrical symmetry. The Silicon Pixel Detector (SPD) is the closest subsystem to the beam pipe and is made of two layers of pixel detectors. The third and the fourth layers are formed by silicon drift detectors, while the outermost two layers are equipped with double-sided silicon strip detectors.

The TPC, which is the main tracking detector, consists of a hollow cylinder whose axis coincides with the nominal beam axis and which surrounds the ITS. The charged-particle tracks are then built by combining the hits in the ITS and up to 159 reconstructed space points in the TPC. The momentum component transverse to the beam pipe (\(p_{\textrm{T}}\)) of charged particles is reconstructed from the curvature of the tracks within the TPC, which is permeated by a magnetic field. The TPC is also used for particle identification (PID) via the measurement of the specific energy loss (d\(E\)/d\(x\)) in its gas volume.

The TOF detector is based on the multi-gap resistive plate chambers technology and is located, with a cylindrical symmetry, at an average radial distance of 380 cm from the beam axis. The particle velocity \(\beta \) of each particle can be determined by using the time-of-flight measurement, the track length, and the associated momentum, allowing for PID at intermediate momenta.

3 Event and track selection

The data samples used for the measurements presented in this paper were recorded by ALICE in 2015, 2016, 2017, and 2018 during the LHC pp runs at \(\sqrt{s}~=~13\) Te, the p–Pb runs at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te and the Pb–Pb runs at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te. A minimum bias trigger was used during all the data taking, which required coincident signals in both V0 scintillators to be synchronous with the beam crossing time defined by the LHC clock. Events with multiple primary vertices identified with the SPD are tagged as pile-up and excluded from the analysis to achieve the best PID performance.

The primary vertex position was determined from tracks reconstructed in the ITS and TPC as described in Ref. [52] and only events with a reconstructed primary vertex position along the beam axis (\(V_z\)) within 10 cm from the nominal interaction point along the beam direction are selected. This procedure ensures a uniform detector coverage within \(|\eta |<0.8\). After the application of the event selection criteria, about 1\(\times 10^9\) minimum bias pp events, about 8\(\times 10^8\) minimum bias p–Pb collisions in the 0–100% multiplicity interval and about 6.5\(\times 10^7\) minimum bias Pb–Pb collisions in the 60–90% centrality interval, which corresponds to most peripheral events, have been analysed.

Small collision systems are affected by the presence of mini-jets background, which might affect the femtoscopic signal [38, 60]. To reduce the contribution from the mini-jet background, the events were classified according to their transverse sphericity (\(S_{\textrm{T}}\)), an observable which is known to be correlated with the number of hard parton–parton interactions in each event [61]. An event with hard parton–parton interactions will generally produce a jet-like event topology that yields low sphericity, while an event dominated by soft parton–parton interactions can yield higher sphericity. To reduce the strong mini-jet background at low momenta, only events with \(S_{\textrm{T}}\), defined as in Ref. [62], larger than 0.7 were considered in the pp analysis. Generally, the mini-jet background is most pronounced in pp while in p–Pb and peripheral Pb–Pb the events are typically isotropic. However, for consistency, the same selection on \(S_{\textrm{T}}\) was applied to the p–Pb and semi-peripheral Pb–Pb data.

Charged kaon and proton candidate tracks were selected from charged-particle tracks reconstructed in the TPC, with the additional constraint that the track originates from the primary vertex [52]. Candidate tracks were selected in the range \(|\eta |<~\)0.8. To assure a good \(p_{\textrm{T}}\) resolution and to remove wrongly reconstructed tracks from the sample, only tracks with at least 70 space points were selected. To suppress contributions of secondary kaons and protons in the sample, the reconstructed tracks were required to have a distance of closest approach to the primary vertex (DCA) along both the beam (z) and transverse (xy) directions smaller than 1 cm. In order to reduce the hadron misidentification, kaon candidates with 0.15 < \(p_{\textrm{T}}\)  < 1.4 GeV\( / c\) and proton candidates with 0.4 < \(p_{\textrm{T}}\)  < 3 GeV\( / c\) were selected.

For particle identification, both the TPC and the TOF detectors were employed. Kaons (protons) with transverse momenta up to 0.4 (0.8) GeV\( / c\) were identified using only the TPC information by requiring that the average \(\text {d}E/\text {d}x\) (calculated using the Bethe–Bloch parameterisation) is within three standard deviations (\(\sigma \)) from the expected average at a given momentum for the particle mass hypothesis. For kaons with \(p_{\textrm{T}}\)  > 0.4 GeV\( / c\) and protons with \(p_{\textrm{T}}\)  > 0.8 GeV\( / c\), a similar method was applied for the particle identification using the TOF, where, on top of TPC selection, a 3\(\sigma \) selection on the expected time of flight for a given particle at a given momentum was applied. Tracks for which the PID was ambiguous were discarded. To remove the large fraction of e\(^+\)e\(^-\) pairs that can affect the extraction of the correlation function of the opposite-charge pairs, a selection on the \(p_{\textrm{T}}\) of kaons and protons of each charge was applied: kaon candidates were excluded if 0.3 <\(p_{\textrm{T}}\)  < 0.4 GeV\( / c\), while proton candidates were excluded in the interval between 0.6 < \(p_{\textrm{T}}\)  < 0.8 GeV\( / c\). It should be noted that cutting in this \(p_{\textrm{T}}\) region does not influence the correlation signal as the statistical uncertainty of the data is sufficiently small in each investigated \(k^{*}\) interval. The quoted \(p_{\textrm{T}}\) intervals correspond to the regions in which the electron \(\text {d}E/\text {d}x\) band merges with the band of the kaons and protons, respectively. The purity of the selected particle samples was determined by Monte Carlo simulations based on PYTHIA 8 [63] for the pp analysis, on EPOS [64] for p–Pb, and on HIJING [65] for Pb–Pb. The purity is larger than 99% in the considered \(p_{\textrm{T}}\) intervals for all the analysed data.

4 Analysis of the correlation function

4.1 Experimental correlation function

The main observable in this work is the two-particle correlation function. Experimentally, the correlation function \(C(k^{*})^{\textrm{measured}}\) is constructed as [40]

$$\begin{aligned} C(k^{*})^{\textrm{measured}} = {\mathscr {N}} \dfrac{A(k^{*})}{B(k^{*})}, \end{aligned}$$
(1)

where \(k^{*}\) is the magnitude of the momentum of each of the particles in the pair reference frame. The numerator A(\(k^{*}\)) is the measured distribution of pairs from the same event, while B(\(k^{*}\)) is the reference distribution of pairs from mixed events. The pairs in the denominator are formed by mixing particles from one event with particles from a pool of up to seven other events with a comparable number of charged particles at midrapidity [66], a distance between primary vertex coordinate \(V_z\) along the beam axis \(\Delta V_z \le \) 2 cm and with similar \(S_{\textrm{T}}\) as for the numerator.

The \({\mathscr {N}}\) parameter is chosen such that the mean value of the correlation function equals unity for 600 < \(k^{*}\)  < 1000 MeV\( / c\) where the correlation function is flat. Reconstruction biases, such as the merging of tracks that are very close to each other, were evaluated by means of Monte Carlo simulations and found to be negligible in all the collision systems and centralities considered in this analysis. The measured \(k^{*}\) is not identical to the true relative momentum of the pair due to effects of momentum resolution [67]. Hence, to compare the experimental results with theoretical predictions, an unfolding of the data is required. This was done by applying a Bayesian unfolding method [68] both to the to the A(\(k^{*}\)) and B(\(k^{*}\)) distributions. The finite experimental momentum resolution modifies the measured correlation functions at most by 6% in the first \(k^{*}\) interval and less than 1% for \(k^{*}\) around 300 MeV\( / c\). The resulting \(C(k^{*})^{\textrm{corrected}}\) correlation function can be described by

$$\begin{aligned} C(k^{*})^{\textrm{corrected}}= & {} (a + b \, k^*) \left( 1+ \lambda _{ {\textrm{genuine}}} (C(k^{*})^{\textrm{genuine}} - 1 )\right. \nonumber \\{} & {} \left. + \sum _{ij} \lambda _{ij} \left( C_{ij} (k^{*}) - 1 \right) \right) . \end{aligned}$$
(2)

The correlation function is dominated by the contribution of the genuine \(\textrm{K}^{+}\)p or \(\textrm{K}^{-}\)p interaction, \(C(k^{*})^ {\textrm{genuine}}\). It is weighted by the corresponding \(\lambda _{ {\textrm{genuine}}}\) parameter, which describes the purity and fractions of primary kaons and protons in the sample [41]. Other contributions ij originating from incorrectly identified particles, from particles stemming from weak decays (such as protons from \(\Lambda \rightarrow \textrm{p}\uppi ^-\)), and from particles coming from long-lived resonances (such as kaons from \(\phi \) (1020)\(\rightarrow \) \(\textrm{K}^{+}\) \(\textrm{K}^{-}\)) give rise to the \(C_{ij} (k^{*})\) correlation functions. Since weak decays occur typically some centimetres away from the collision vertex, a negligible final-state interaction between their decay products and the primary particles under study can be assumed. A similar argument can be applied also to particles coming from long-lived resonances (\(c\tau > 5\,\textrm{fm}\)). Hence, the resulting correlation functions \(C_{ij} (k^{*})\) originating from the different combinations of primary, secondary, and misidentified particles are considered independent of \(k^{*}\). The correlations due to misidentifications are evaluated experimentally and their contribution depends on the fraction of primary pairs of the sample (around 70% for kaon–proton pairs), on the fraction of \(\phi \) (1020) that decay into kaon pairs and are identified as primary kaons (around 6%), and on the purity of primary pairs in the analysed sample (around 98% for kaon–proton pairs). These fractions are determined by fitting Monte Carlo templates to the measured DCA\(_{xy}\) distributions of kaons and protons, similarly to what is described in Ref. [38]. All the contributions related to misidentified kaons and protons are encapsulated into the \(\lambda _{ij}\) parameter of Eq. (2). Finally, an additional contribution related to energy-momentum and charge conservation is present in \(C(k^{*})^{\textrm{corrected}}\). This contribution is described by a linear baseline \((a+b \, k^{*})\) whose coefficients are fixed by fitting the measured correlation function in a \(k^{*}\) region where the short-range effects are negligible. For \(\textrm{K}^{+}\)p the parameters are fixed in the 300 \(<~k^{*} ~<\) 400 MeV\( / c\) interval. In the \(\textrm{K}^{-}\)p case, the baseline parameters are fixed using the data in the 180 \(<~k^{*} ~<\) 270 MeV\( / c\) region.

Once all the above contributions have been taken into account, the genuine correlation \(C(k^{*})^ {\textrm{genuine}}\) (\(C(k^{*})\) from now on for simplicity) is obtained. The systematic uncertainties on \(C(k^{*})\) were evaluated for each \(k^{*}\) interval by varying event and track selection criteria. The event sample was varied by changing the selection on the \(V_z\) position from ±10 cm to ±7 cm and by varying the sphericity of the accepted events from \(S_{\textrm{T}}\)  > 0.7 to \(S_{\textrm{T}}\)  > 0.6 and \(S_{\textrm{T}}\)  > 0.8. Systematic uncertainties related to the track selection criteria were studied by varying the selection on the DCA\(_{xy}\) within the experimental resolution. Systematic uncertainties related to other variations related to track selections were found to be negligible. To study systematic effects related to particle identification, the number of standard deviations around the expected energy loss for kaons and protons in the TPC and, similarly, for the time of flight in the TOF detector was modified from 3\(\sigma \) to 2\(\sigma \). For each source, the systematic uncertainty was estimated as the root-mean-square (RMS) of all the deviations in each \(k^{*}\) interval. The total systematic uncertainty was calculated as the square root of the quadratic sum of each source’s contribution and amounts to about 3% up to \(k^{*}\)  < 500 MeV\( / c\). The uncertainties related to the correction procedure described in the previous paragraph are propagated into the measured data points by means of the bootstrap technique [69].

Fig. 1
figure 1

\(\textrm{K}^{+}\)p (\(\textrm{K}^{+}\)p \(\oplus \) \(\textrm{K}^{-}\) \(\overline{\textrm{p}}\)) correlation function obtained in pp collisions at \(\sqrt{s}~=~13\) Te. The measured data points are taken from Ref. [38] and are corrected for finite experimental momentum resolution and for residual correlations as described in Sect. 4.1. Measured data are shown by the black markers, the vertical error bars and the boxes represent the statistical and systematic uncertainties, respectively. The red band in the upper panel represents the model calculation and its systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties, respectively. Bottom panels represent the data-to-model comparison

The \(C(k^{*})\) of \(\textrm{K}^{+}\)p are shown in Fig. 1 for pp collisions at \(\sqrt{s}~=~13\) Te and in Figs. 2 and 3 for p–Pb and Pb–Pb at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te, respectively. In Figs. 2 and 3, each panel corresponds to a different centrality, as indicated in the legend of the figures. The data shown in Fig. 1, already presented in [38], are corrected as described above. Similarly, the \(C(k^{*})\) for \(\textrm{K}^{-}\)p are shown in Fig. 4 for pp collisions, and in Figs. 5 and 6 for p–Pb at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te and Pb–Pb at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te, respectively. Also in this case the data obtained in pp collisions have already been shown in Ref. [38] and are reported here after the corrections described above.

In Figs. 45, and 6, the structure that can be seen in the \(\textrm{K}^{-}\)p correlation function at \(k^*\) around 240 MeV\( / c\) is consistent with the \(\Lambda \)(1520) (\({\overline{\Lambda }}\)(1520)) which decays into a \(\textrm{K}^{-}\)p (\(\textrm{K}^{+}\) \(\overline{\textrm{p}}\)) pair of relative momentum \(k^* =243\) MeV\( / c\)[70]. As already observed in pp collisions [38], the correlation function for \(\textrm{K}^{-}\)p exhibits a clear structure between 50 and 60 MeV\( / c\) visible for all the colliding systems, centralities and energies. The position of the structure at \(k^{*} =59\) MeV\( / c\) is consistent with the opening of the \(\mathrm {{\overline{K}}^0n}\) channel corresponding to the kaon measured momentum in the laboratory frame \(p_{\textrm{lab}}=89\) MeV\( / c\) [23, 25, 37].

4.2 Modeling the correlation function with inelastic channels

For the modeling of the correlation function in the \(\textrm{K}^{-}\)p system, the Koonin–Pratt formula [40] is modified to take into account the presence of the coupled channels \(j=\) \(\uppi ^0\Lambda \), \(\uppi \Sigma \) (\(\uppi ^-\Sigma ^+\), \(\uppi ^+\Sigma ^-\), \(\uppi ^0\Sigma ^0\)), and \({\overline{\textrm{K}}}^0\)n in the following way [7, 8, 71]:

$$\begin{aligned} C_{\textrm{K}^{-}p}(k^{*})&= \int d^3 r^* S_{\textrm{K}^{-}p} (r^*) |\psi _{\textrm{K}^{-}p} (k^{*},r^*)|^2 \nonumber \\&\quad + \sum _{j} \omega _j \int d^3 r^* S_j (r^*) |\psi _j (k^*,r^*)|^2\nonumber \\&= C_{\textrm{K}^{-}p} ^\mathrm{el.} (k^{*}) + C_{{\overline{\textrm{K}}}^0n} ^\mathrm{inel.} (k^{*}) +C_{\uppi ^-\Sigma ^+} ^\mathrm{inel.} (k^{*})\nonumber \\&\quad +C_{\uppi ^+\Sigma ^-} ^\mathrm{inel.} (k^{*})+C_{\uppi ^0\Sigma ^0} ^\mathrm{inel.} (k^{*})+C_{\uppi ^0\Lambda } ^\mathrm{inel.} (k^{*}). \end{aligned}$$
(3)

The first integral on the right-hand side of the equation describes the elastic processes in which the initial state produced in the collision and the final measured pair are the same. The second integral in Eq. (3) represents the explicit contributions stemming from inelastic processes \((j=\uppi ^0\Lambda ,~\uppi \Sigma ,~{\overline{\textrm{K}}}^0n) \rightarrow \textrm{K}^{-}p\), in which initial and final states are different but share the same quantum numbers. The functions \(S_{\textrm{K}^{-}p} (r^*)\) and \(S_j (r^*)\) represent the emitting source profiles, as a function of the relative distance \(r^*\) in the pair rest frame, for \(\textrm{K}^{-}\)p pairs and for the j inelastic channels, respectively. Details on the modeling of the source are available in Sect. 4.3.

Fig. 2
figure 2

\(\textrm{K}^{+}\)p (\(\textrm{K}^{+}\)p \(\oplus \) \(\textrm{K}^{-}\) \(\overline{\textrm{p}}\)) correlation functions obtained in p–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te in the 0–20% (left), 20–40% (middle) and 40–100% (right) centrality intervals. The measurement is shown by the black markers. The vertical error bars and the boxes represent the statistical and systematic uncertainties, respectively. The red band in the upper panels represents the model calculation and its systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties, respectively. Bottom panels represent the data-to-model comparison

Fig. 3
figure 3

\(\textrm{K}^{+}\)p (\(\textrm{K}^{+}\)p \(\oplus \) \(\textrm{K}^{-}\) \(\overline{\textrm{p}}\)) correlation functions obtained in Pb–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te in the 60–70% (left), 70–80% (middle) and 80–90% (right) centrality intervals. The measurement is shown by the black markers. The vertical error bars and the boxes represent the statistical and systematic uncertainties, respectively. The red band in the upper panels represents the model calculation and its systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties, respectively. Bottom panels represent the data-to-model comparison

One of the main ingredients needed to calculate \( C_{\textrm{K}^{-}p}(k^{*})\) are the elastic \(\psi _{\textrm{K}^{-}p} (k^{*},r^*)\) and the inelastic \(\psi _j (k^{*},r^*)\) wave functions to be evaluated in a coupled channel approach by solving the multi-channel Schrödinger equation.

Since the coupled channel dynamics mostly acts at inter-particle distances of the order of 1 fm, the inelastic terms shown in Eq. (3) should be relevant for femtoscopic measurements performed in small colliding systems like pp, p–Pb, peripheral and semi-peripheral Pb–Pb. It has been shown that the probed source sizes in such small systems are around 1 fm [72] and the explicit inclusion of the inelastic correlations is needed to reproduce the data [8, 8, 60, 67]. These inelastic terms can modify the shape and the strength of the total correlation function as shown in Refs. [7, 8, 46]. Channels opening below the threshold, such as \(\uppi ^0\Lambda \) and \(\uppi \Sigma \), introduce an enhancement of the femtoscopic signal at low momenta and channels opening above threshold, such as \({\overline{\textrm{K}}}^0\)n, lead to the appearance of a cusp-like structure at the corresponding \(k^{*}\) value [7, 8]. These modifications and the corresponding coupled channel contributions become negligible when the correlation function is measured in large colliding systems, such as central and semi-central Pb–Pb collisions, for which the source can reach radii of about 5 fm and above. Under these circumstances, the correlation function is mostly driven by the elastic contribution, given by the first term in Eq. (3).

To properly account for the coupled channel correlations, additional quantities are needed: the conversion weights \(\omega _j\). These conversion weights are related to the number of pairs in each inelastic channel j originating from primary particle produced in the collision and can hence be defined as \(\omega _j=\omega ^{\textrm{prod}}_j\). The yields of pairs in the j channel used to compute \(\omega ^{\textrm{prod}}_j\) are obtained in this analysis by using the statistical thermal model implemented in the Thermal-FIST (TF) package [73]. Since the sizes of the source in pp, p–Pb, and semi-peripheral Pb–Pb are small, the canonical statistical model (CSM) with incomplete equilibration of strangeness as implemented in TF [74] is used in this study (\(\gamma _{\textrm{s}}\)-CSM). The three parameters of the model (i.e. the chemical freeze-out temperature \(T_{\textrm{ch}}\), the strangeness saturation parameter \(\gamma _{\textrm{s}}\), and the volume at midrapidity dV/dy) are extracted from the parameterisation provided in Ref. [74] at the average multiplicity of charged particles (\(\langle \textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \rangle \)) measured by ALICE for the different collision systems, energies, and centrality intervals considered in this analysis [75,76,77]. The values of the parameters and their estimated uncertainties are summarised in Table 1. The uncertainties assigned to the different parameters are evaluated starting from the systematic uncertainties assigned to the measured \(\langle \textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \rangle \) and propagated through the parameterisation. For fixed freeze-out parameters, the TF framework provides the yields of the primary particles composing the pairs in each channel j. The final amount of pairs in the j channel, \(N_j\), is given by the product between the primary yields of the particles in the considered pair.

Fig. 4
figure 4

(\(\textrm{K}^{-}\)p \(\oplus \) \(\textrm{K}^{+}\) \(\overline{\textrm{p}}\)) correlation functions obtained in pp collisions at \(\sqrt{s}~=~13\) Te. The measured data points are taken from [38] and have been corrected for finite experimental momentum resolution and for residual correlations as described in Sect. 4.1. Measured data are shown by the black markers, the vertical error bars and the boxes represent the statistical and systematic uncertainties, respectively. The red and blue bands in the upper panels represents the model calculations and its systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties. Bottom panels represent the data-to-model comparison as described in the text

The kinematic distributions of the produced pairs are obtained with toy Monte Carlo simulations using a Blast-Wave (BW) parameterisation [78] of the \(p_{\textrm{T}}\) of each particle composing the pair of interest. The parameters of the BW are taken from Ref. [79] for p–Pb data and from Ref. [80] for Pb–Pb data, and are assumed to describe also the spectra of particles not measured by ALICE (e.g. neutrons and \(\Sigma \)s). The parameters used for the most peripheral p–Pb centrality intervals are also used to describe the spectra of particles produced in pp collisions at \(\sqrt{s}~=~13\) Te. Once the momentum distributions of the two particles are generated, only pairs in the j channel with relative momentum \(k^{*}\) below 200 Me/\(c\) were selected and taken into consideration. The obtained distribution is then integrated over transverse-momentum space and the BW yields are extracted. These yields, for the \(\textrm{K}^{-}\)p and different j-pairs, are finally rescaled by the primary TF \(N_j\) results in order to account for the proper produced abundances in each colliding system. The corresponding production weights \(\omega ^{\textrm{prod}}_j\) are obtained by dividing these final yields with the total production of \(\textrm{K}^{-}\)p pairs, considered as the reference for this study. The relative production weights \(\omega ^{\textrm{prod}}_j\) are reported in Table 2 for the different centralities and collision systems. The systematic uncertainties on the \(\omega ^{\textrm{prod}}_j\) reported in the table were evaluated by varying the parameters in the \(\gamma _{\textrm{s}}\)-CSM model implemented in TF (\(\sigma ^{\textrm{TF}}\)) by \(\pm 1\sigma ^{\textrm{TF}}\) and by varying the upper limit of the relative momenta \(k^{*}\) of the produced pairs by \(\pm 100\) Me/\(c\). The latter variation represents the dominant contribution to the uncertainty for pairs produced below the \(\textrm{K}^{-}\)p threshold. The systematic uncertainty assigned to the \(\omega ^{\textrm{prod}}_j\) is around 20% for \(\textrm{K}^{-}\)p and \({\overline{\textrm{K}}}^0\)n pairs and around 50% for the other coupled channel pairs. Since the productions of the three different species in the isospin triplet of \(\uppi \) and \(\Sigma \) particles are similar in TF, in the following analysis a single \(\omega ^{\textrm{prod}}_j\) for \(\uppi \Sigma \), evaluated as the average of the three channels, will be used.

4.3 Experimental characterization of the emitting source \(S(r^{*})\)

A fundamental ingredient entering in the evaluation of the theoretical correlation function in Eq. (3) is the emitting source for the elastic part \(S(r^{*})\) and for the inelastic terms \(S_j(r^*)\). Recently, a data-driven analysis based on p–p correlations measured in pp collisions provided a model for the emitting source of baryon–baryon pairs in small colliding systems [72]. The source is composed of two components: a Gaussian core with a common radius \(r_{\textrm{core}}\), which scales with the transverse mass \(m_{\textrm{T}}\) of the pair due to possible collective effects (e.g. radial flow) and an exponential tail stemming from short-lived resonances (\(c\tau \approx \) 1–2 fm) strongly decaying into the particles composing the pair of interest. In the baryon–baryon sector, the determination of \(r_{\textrm{core}}\) is anchored to the p–p correlation since its underlying strong interaction is the best known. The emitting source obtained with this model was used in several baryon–baryon and baryon–antibaryon femtoscopic measurements [43, 45, 60] to study the underlying strong interaction.

In the meson–baryon sector the role played by the p–p interaction in constraining the source for baryon–baryon pairs is overtaken in this study by the \(\textrm{K}^{+}\)p system since the interaction is well known [49] and coupled channels are not present [38]. The influence of short-lived resonances (\(c\tau < 5\) fm) on the source is quantified by evaluating the yields of each resonance with TF [73] and by extracting the decay kinematics using transport model dynamics implemented in EPOS [64]. According to these calculations, which entail the full decay chain from heavy to light particles, around 52% (36%) of the total \(\textrm{K}^{+}\)(p) yield is primordial. The relevant contributions of short-lived resonances decaying into \(\textrm{K}^{+}\)are summarised in Table 3. For these calculations, every hadron consisting of light and strange quarks was taken into account. As already introduced in Sect. 4, due to its large lifetime of 46 fm, the \(\phi \) (1020) is considered in this analysis as a primary particle, and its contribution is taken into account as done for secondary particles. The resonance yields for the proton are the same as reported in Ref. [72].

Fig. 5
figure 5

(\(\textrm{K}^{-}\)p \(\oplus \) \(\textrm{K}^{+}\) \(\overline{\textrm{p}}\)) correlation functions obtained in p–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te in the 0–20% (left), 20–40% (middle) and 40–100% (right) centrality intervals. The measurement is shown by the black markers, the vertical error bars and the boxes represent the statistical and systematic uncertainties, respectively. The red and blue bands in the upper panels represent the model calculations and their systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties, respectively. Bottom panels represent the data-to-model comparison as described in the text

Fig. 6
figure 6

(\(\textrm{K}^{-}\)p \(\oplus \) \(\textrm{K}^{+}\) \(\overline{\textrm{p}}\)) correlation functions obtained in Pb–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te in the 60–70% (left), 70–80% (middle) and 80–90% (right) centrality intervals. The measurement is shown by the black markers, the vertical error bars and the boxes represent the statistical and systematic uncertainties respectively. The red and blue bands in the upper panels represent the model calculations and their systematic uncertainty as described in the text. The \(r_{\textrm{core}}\) and \(r_{\textrm{eff}}\) values of the source are reported with their statistical and systematical uncertainties, respectively. Bottom panels represent the data-to-model comparison as described in the text

Table 1 Parameters used in the \(\gamma _{\textrm{s}}\)-CSM model of Thermal-FIST [73, 74] for different colliding systems and centrality intervals. The average \(\textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \) (\({\mathcal {M}}=\langle \textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \rangle \)) and the associated systematic uncertainties corresponding to the various colliding systems are taken from Refs. [75,76,77]. The total uncertainties assigned to \(T_{\textrm{ch}}\), \(\gamma _{\textrm{s}}\) and dV/dy are obtained as described in the text
Table 2 Production weights \(\omega ^{\textrm{prod}}_j\) for \(j=\uppi ^0\Lambda ,~\uppi \Sigma ,~{\overline{\textrm{K}}}^0n\) pairs for minimum bias pp collisions at \(\sqrt{s}~=~13\) Te and for three different centrality intervals in p–Pb and Pb–Pb collisions at \(\sqrt{s_{\textrm{NN}}}~=~5.02\) Te. The average \(\textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \) (\({\mathcal {M}}=\langle \textrm{d}N_{\textrm{ch}}/\textrm{d}\eta \rangle \)) and the associated systematic uncertainties used to compute the production yield of each species, as described in Sect. 4.2, are also reported in Refs. [75,76,77]. For the calculation, an upper limit of \(k^{*}\) of 200 Me/\(c\) for the pairs was imposed. The systematic uncertainties associated to each \(\omega ^{\textrm{prod}}_j\) are evaluated as described in Sect. 4.2
Table 3 List of resonances contributing at least 1% to the yield of \(\mathrm{K^{+}}\). These fractions are computed with Thermal-FIST for pp minimum bias collisions at \(\sqrt{s}~=~13\) Te, and are used also for the other collision systems

The weighted average of the lifetimes of the resonances feeding into \(\textrm{K}^{+}\)(p) is 3.66 fm/c (1.65 fm/c), while the weighted average of the masses is 1.05 Ge/\(c^2\) (1.36 Ge/\(c^2\)). The decay kinematics are extracted from the EPOS transport model by generating high-multiplicity pp events at \(\sqrt{s} = 13\) TeV and selecting primordial \(\textrm{K}^{+}\)(p) and the resonances feeding into the particle of interest. The particle resonance cocktail is required to reproduce the weighted average of the masses (lifetimes) of the resonances feeding into \(\textrm{K}^{+}\)or p. Using as an input the fraction of primordial \(\textrm{K}^{+}\)and p, the weighted average of the lifetimes/masses and the corresponding decay kinematics, the source is modeled employing a dedicated Monte Carlo procedure, details of which are described in Ref. [72].

In order to extract the core source size, the genuine \(\textrm{K}^{+}\)p correlation function \(C(k^*)\) can be modeled using the following equation

$$\begin{aligned} C(k^*) = {\mathcal {N}} \times (C_{\textrm{K}^{+}p}(k^*)), \end{aligned}$$
(4)

where the normalization constant, \({\mathcal {N}}\), is a free parameter of the fit and is introduced to take into account any remaining contributions which survive the correction procedure described in Sect. 4.1.

The correlation function \(C(k^*)\) is fitted with Eq. (4) in the range \(0< k^{*} < 250\) Me/\(c\). A variation of \(\pm 30\) Me/\(c\) for the upper \(k^{*}\) value is applied and accounted for in the systematic uncertainties. The theoretical correlation function, \(C_{\textrm{K}^{+}p}(k^*)\), is evaluated using the CATS framework [81]. The strong potential for the \(\textrm{K}^{+}\)p is constructed based on the scattering amplitude in chiral SU(3) dynamics [49], using the procedure developed in Ref. [50]. The Coulomb interaction in the same-charge pair is taken into account in the final potential directly using CATS. The source is modeled including the effects of short-lived resonances via a dedicated Monte Carlo procedure implemented in CATS, details are given in Ref. [72]. In order to account for the uncertainty related to the correction procedure, the \(\lambda \) parameter estimation, and the baseline, the data were fitted several times. Each time either the \(\lambda \) parameter or the parameters of the baseline defined in Eq. (2) were varied by \(\pm 1\sigma \). The radii obtained from the fits which minimise the \(\chi ^2\) per number of degrees of freedom (\(\chi ^2\)/NDF) represent the \(r_{\textrm{core}}\) for \(\textrm{K}^{+}\)p pairs. In order to evaluate the systematic uncertainty on \(r_{\textrm{core}}\), half of the maximum variations among the different radii extracted from the multiple fits are considered. Possible biases in the input hadronic spectrum were cross checked by comparing the resonance yields obtained from TF with model calculations based on Ref. [82]. The yields obtained with both methods agree within 5%, for the short-lived as well as the long-lived resonances. Therefore, in order to account properly for discrepancies due to the model choice, the fraction of resonances that decay into K and p was varied by ±10%. Comparing the two different models, the extracted values for the weighted average of the lifetimes (masses) were found to be consistent within 10%. Finally, the \(k^{*}\) cutoff in the EPOS transport code, which is used to extract the decay kinematics, is varied from 200 Me/\(c\) to 150 and 250 Me/\(c\). The limit in \(k^{*}\) is used to accept pairs lying within the kinematic range for which femtoscopic effects are expected. All the variations described here are bootstrapped [69] to obtain a systematic uncertainty related to resonance contributions.

In Fig. 1, the results obtained for the measured \(\textrm{K}^{+}\)p correlation in pp collisions at \(\sqrt{s}~=~13\) Te are shown. The data are fitted with Eq. (4) and a similar fitting procedure has been performed in p–Pb collisions (see Fig. 2) and Pb–Pb collisions (see Fig. 3). The data in all three colliding systems are well reproduced by the assumed \(\textrm{K}^{+}\)p interaction. The red band in the upper panels represents the model calculation and its systematic uncertainty. The lower panel of each figure shows the difference between data and model evaluated in the middle of each \(k^{*}\) interval, and divided by the statistical uncertainty of data (n\(_{\sigma _{\textrm{stat}}}\)). The width of the bands represents the n\(_{\sigma _{\textrm{stat}}}\) range associated to the model systematic variations. The reduced \(\chi ^2\) are also shown. The values of \(r_{\textrm{core}}\) are reported on the figures along with the corresponding effective Gaussian source size \(r_{\textrm{eff}}\), which describes the resulting core source with the resonance contributions. The associated statistical and systematic uncertainties are also reported. This study shows an agreement between the results obtained from p–p correlations in Ref. [72] and the extracted \(r_{\textrm{core}}\) for \(\textrm{K}^{+}\)p pairs and the \(\textrm{K}^{+}\)p system is used to fix the core radius for both the elastic channel \(S_{\textrm{K}^{-}p} (r^*)\) and the inelastic channels \(S_j (r^*)\) of the \(\textrm{K}^{-}\)p interaction as described in Eq. (3).

The sources of other pairs involving kaons and nucleons, such as \(S_{\mathrm{K^- p}}(r^{*})\) and \(S_{{{\overline{\textrm{K}}}^0{\textrm{n}}}}(r^{*})\), are modeled assuming the same feed-down from resonances and decay kinematics as described for the \(\textrm{K}^{+}\)p pairs. The emitting source for the inelastic correlations containing pions, \(S_{\uppi ^-\Sigma ^+}(r^{*}), S_{\uppi ^+\Sigma ^-}(r^{*}), S_{\uppi ^0\Sigma ^0}(r^{*})\), and \(S_{\uppi ^0\Lambda }(r^{*})\), are treated separately from the source of the elastic \(\textrm{K}^{-}\)p and charge-exchange \({\overline{\textrm{K}}}^0\)n terms due to the presence of pions [38]. The resonance contributions to the \(\uppi \) part of \(S_{\uppi ^-\Sigma ^+}(r^{*}),~S_{\uppi ^+\Sigma ^-}(r^{*}),~S_{\uppi ^0\Sigma ^0}(r^{*})\), and \(S_{\uppi ^0\Lambda }(r^{*})\) are assumed to be equivalent. The feed-down from resonances to \(\Sigma \) and \(\Lambda \) baryons is similar, hence the sources for the \(\uppi \Sigma \) and \(\uppi ^0\Lambda \) contributions are modeled using resonances and decay kinematics related to \(\Lambda \) particles as in Ref. [72], together with the ones necessary for the pions. Around 28% (36%) of the total \(\uppi \) (\(\Sigma \)/\(\Lambda \)) yields are primordial. The contributions to the \(\uppi \) yield stemming from the different resonances are summarised in Table 4. The remaining resonances, not explicitly quoted in Table 4, contribute at the sub percent level and largely decay into a nucleon and a \(\uppi \). Around 12% (including the yield from \(\omega \) (782)) of the total \(\uppi \) yield stems from strongly decaying resonances with a lifetime larger than 5 fm/c. Due to the long lifetime, these contributions are included in the weak feed-down embedded in the \(\lambda \) parameters, consistent with the handling of the \(\textrm{K}^{+}\)stemming from the \(\phi \) decay.

Table 4 List of resonances which contribute at least 1% to the yield of \(\uppi ^+\). The fractions are computed with Thermal-FIST for pp minimum bias collisions at \(\sqrt{s}~=~13\) Te, and used also for the other collision systems

The weighted average of the lifetimes of the resonances feeding into \(\uppi \) (\(\Sigma /\Lambda \)) is 1.5 fm/c (4.7 fm/c), while the weighted average of the masses is 1.13 Ge/\(c^2\) (1.46 Ge/\(c^2\)). The decay kinematics are extracted by using the transport model dynamics implemented in EPOS, as done for \(\textrm{K}^{+}\).

Following this procedure, the source terms for the coupled channel contributions as well as for the genuine \(\textrm{K}^{-}\)p correlation in Eq. (3) are evaluated by using the size of the Gaussian core source from the \(\textrm{K}^{+}\)p results as a starting value in the fit procedure and by taking into account the specific feed-down from resonances. Similarly to the \(\textrm{K}^{+}\)p modeling, Eq. (4) is used to model the measured \(\textrm{K}^{-}\)p correlation in the three colliding systems.

The theoretical correlation function, including the elastic and inelastic contributions, is evaluated within the CATS framework using the wave functions obtained from state-of-the-art chiral coupled channel \({\overline{\textrm{K}}}{\textrm{N}}\)\(\uppi \Sigma \)\(\uppi ^0\Lambda \) potentials [50] based on the scattering amplitudes in Refs. [36, 83] (hereafter chiral model). The boundary conditions on the outgoing \(\textrm{K}^{-}\)p wave function properly take into account the contributions from the inelastic channels \({\overline{\textrm{K}}}^0\)n, \(\uppi \Sigma \) and \(\uppi ^0\Lambda \) [8]. The parameters of the chiral model are tuned to reproduce the available scattering data and the kaonic hydrogen constraints from the SIDDHARTA experiment [20].

5 Results and discussion

The results for \(\textrm{K}^{-}\)p pairs are shown in the upper panel of Figs. 4, 5 and 6 for pp, p–Pb and Pb–Pb collisions, respectively. The effect of the coupled channels on the measured correlation function can be seen explicitly by comparing the data in the three colliding systems. For the centrality interval 60–70% in Pb–Pb collisions (left panel in Fig. 6), in which the largest source size, considered in this study, is achieved, no clear evidence of the expected \({\overline{\textrm{K}}}^0\)n opening cusp is observed in the data. The disappearance of this cusp in large colliding systems is expected as described in [8, 46] based on the coupled channel formulation. The lack of a cusp in the correlation function is also observed in \(\textrm{K}^{-}\)p femtoscopic measurements performed in central Pb–Pb collisions [47] in which the emitting source size can exceed radii of 5 fm. As the source size decreases, moving to more peripheral Pb–Pb collisions (middle and right panels in Fig. 6), the cusp structure at \(k^{*} \approx 59\) Me/\(c\) becomes more evident. The opening of the \({\overline{\textrm{K}}}^0\)n channel is noticed as well in the measured correlation function in pp (Fig. 4) and in the three centrality classes in p–Pb collisions (Fig. 5), in which the core source size is around 1 fm.

The results are compared with the theoretical predictions from the chiral potentials described in Sect. 4. The blue bands visible in Figs. 4, 5, and 6 are obtained by fixing the production weights \(\omega ^{\textrm{prod}}_j\) to the expected values in Table 2. An agreement with the data is achieved in particular for the colliding systems with the larger source sizes as in the first panel of Fig. 6. As the source size decreases, moving to more peripheral Pb–Pb collisions, to p–Pb and pp systems, the theoretical band clearly underestimates the data in the region of the \({\overline{\textrm{K}}}^0\)n cusp. To quantify this deviation, a scaling factor \(\alpha _j\) is introduced in the definition of the conversion weights \(\omega _j = \alpha _j \times \omega ^{\textrm{prod}}_j\). The red bands in Figs. 45, and 6 are obtained by letting \(\alpha _j\) free for the \({\overline{\textrm{K}}}^0\)n and \(\uppi \Sigma \) contributions, while keeping the production weights fixed. The scaling factor corresponding to the \(\uppi ^0\Lambda \) channel is kept at unity due to the negligible coupling of this channel to the \(\textrm{K}^{-}\)p system [7,8,9,10]. The bottom panels of Figs. 4, 5, and 6 show the data-to-model difference expressed in terms of number of statistical standard deviations (\(\sigma _{\textrm{stat}}\)) of the data. The width of the bands represents the n\(_{\sigma _{\textrm{stat}}}\) range associated to the model systematic variations. Blue squares show the n\(_{\sigma _{\textrm{stat}}}\) distribution when the \(\alpha _j\) are fixed to unity, while red squares show the results when \(\alpha _j\) for \(j={\overline{\textrm{K}}}^0\mathrm n\)\(\uppi \Sigma \) are free parameters of the fit. The \(\chi ^2\) over the number of degree of freedom (\(\chi ^2\)/NDF) of the fit obtained by using the two approaches are also shown. Clearly, the current tune of the chiral model is unable to properly describe the opening of the inelastic \({\overline{\textrm{K}}}^0\)n channel.

Fig. 7
figure 7

Scaling factor (\(\alpha _j \)) for \({\overline{\textrm{K}}}^0\)n (black circles) and \(\uppi \Sigma \) (red squares) extracted from the different fits of the \(\textrm{K}^{-}\)p correlation function as a function of the core radius \(r_{\textrm{core}}\) extracted for pp, p–Pb and Pb–Pb collisions. The vertical error bars and boxes represent the statistical and systematic uncertainties on the extracted parameters, respectively. The widths of the boxes represent the systematic uncertainty associated to each extracted \(r_{\textrm{core}}\). The black and red bands represent the uncertainty coming from the yield estimates in TF and the variations applied in the BW kinematics summed in quadrature as described in the text for \({\overline{\textrm{K}}}^0\)n and \(\uppi \Sigma \), respectively

The results of the extracted \(\alpha _j\) for \(j={\overline{\textrm{K}}}^0{\textrm{n}}\)\(\uppi \Sigma \) are shown in Fig. 7 as a function of the \(r_{\textrm{core}}\) radius, for all colliding systems. The black and red bands represent the uncertainties coming from the yield estimates in TF and the variations applied in the BW kinematics for \({\overline{\textrm{K}}}^0\)n and \(\uppi \Sigma \) production weights, respectively. The vertical error bars in the figure represent the statistical uncertainty of the extracted parameter, while the boxes represent the systematic uncertainty on the conversion weights obtained by repeating the fit several times and by varying within statistical and systematic uncertainties \(r_{\textrm{core}}\) and the amount of resonances that contribute to the source distribution. The \(\uppi \Sigma \) scaling factors (red squares) obtained at different core radii are compatible with unity, indicating that this coupling to \(\textrm{K}^{-}\)p is well modeled by the underlying chiral interaction. The extracted scaling factor for the \({\overline{\textrm{K}}}^0\)n coupling (black circles) significantly deviates from unity for values of \(r_{\textrm{core}}\) below 1.5 fm.

As can be seen in Fig. 7, for Pb–Pb collisions at 60–70% centrality (\(r_\mathrm {{core}} = 1.53\pm 0.05\pm 0.24\) fm), the scaling factor \(\alpha _{{\overline{\textrm{K}}}^0{\textrm{n}}}\) is consistent with unity. Both fit approaches shown in the left panel of Fig. 6 can be used to describe the data, as can be seen in the \(\mathrm n_{\sigma _{\textrm{stat}}}\) distribution. These results are expected since the 60–70% centrality corresponds to the largest source size (\(r_{\textrm{core}} = 1.53\) fm) considered in this work, in which the coupled channel effects on the correlation are negligible. As the source decreases and as the \({\overline{\textrm{K}}}^0\)n cusp appears, the fit assuming free scaling factors provides a better description of the data and the extracted \(\alpha _{{\overline{\textrm{K}}}^0n}\) are larger than unity. This deviation is likely due to the fact that a direct experimental constraint of the \(\textrm{K}^{-}\)p to \({\overline{\textrm{K}}}^0\)n coupling was not available before the measurements presented here and for the similar analysis performed in minimum bias events in pp collisions at \(\sqrt{s}=5.02\), 7, and 13 TeV [38]. The deviation from unity of \(\alpha _{{\overline{\textrm{K}}}^0\mathrm n}\) indicates that the transition between the \(\textrm{K}^{-}\)p and the \({\overline{\textrm{K}}}^0\)n channel currently implemented in the chiral model is too weak. Since other observables are also affected by the coupling of \(\textrm{K}^{-}\)p and \({\overline{\textrm{K}}}^0\)n, it is necessary in future studies to update the \(S=-1\) meson-baryon scattering amplitude of \({\overline{\textrm{K}}}{\textrm{N}}\)\(\uppi \Sigma \)\(\uppi \Lambda \) system by including the present correlation function measurements in addition to the available kaonic hydrogen and scattering data. Moreover, the observed strong negative correlation between the coupling weights \(\alpha _{{\overline{\textrm{K}}}^0n}\) and \(\alpha _{\uppi \Sigma }\) indicates that a revision of the full coupled-channel \(\textrm{K}^{-}\)p potential is required to describe the measured correlation function.

The data presented in this work provide unique constraints to pin down the coupling strength to the \({\overline{\textrm{K}}}^0\)n channel and indicate the first difference between the chiral model and experimental data on the \(\textrm{K}^{-}\)p interaction. A fine tuning of the chiral model is beyond the scope of this article since it requires a more detailed investigation on how much variation of the two isospin components of the \({\overline{\textrm{K}}}{\textrm{N}}\) interaction is allowed in order to still fulfil the scattering data and kaonic hydrogen constraints, above and below threshold, respectively.

6 Summary

This study contains a detailed and comprehensive analysis of the \(\textrm{K}^{+}\)p and \(\textrm{K}^{-}\)p correlation function in different colliding systems. In the \(\textrm{K}^{-}\)p correlation function, it is possible to observe the opening of the \({\overline{\textrm{K}}}^0\)n channel in pp, p–Pb, and peripheral Pb–Pb collisions (\(r_{\textrm{core}}\lesssim \) 1.5 fm), while it is less pronounced in semi-central Pb–Pb collisions, hence for larger distances. By using the strong potential for \(\textrm{K}^{+}\)p pairs based on scattering amplitudes in chiral SU(3) dynamics and the Coulomb potential, it was possible to extract the common core radius (\(r_{\textrm{core}}\)) of the Gaussian source, which, together with an exponential tail, is used to model the particle emitting source of \(\textrm{K}^{+}\)p. The same \(r_{\textrm{core}}\) is used to model the source for \(\textrm{K}^{-}\)p. In this case, the source is composed of the elastic \(\textrm{K}^{-}\)p and the charge-exchange \({\overline{\textrm{K}}}^0\)n terms (\(S_{\textrm{KN}}\)), and the inelastic correlations containing a pion term (\(S_{\uppi \Sigma /\uppi ^0\Lambda }\)). The accurate source description allows us to study the coupling strength associated with each of the inelastic channels as a function of the source size. In order to assess the \(\omega _j\) conversion parameters of the different coupled channels present in the \(\textrm{K}^{-}\)p system, a novel approach was used to estimate the contributions of the inelastic channels to the measured correlation function. The \(\omega _j\) parameters can be expressed as the product of two terms: \(\omega _j ^{\textrm{prod}}\), which takes into consideration the production yield of each particle pairs, and the scaling factor \(\alpha _j\). The latter should be equal to unity if the coupling strength is correctly estimated within the Kyoto model. From the fits to the measured correlation functions with the state-of-the-art Kyoto model, calculated within the coupled channel approach, it is possible to observe that the dynamics of the coupled channels is under control in the case of \(\uppi \Sigma \), while the deviation from unity of \(\alpha _{{\overline{\textrm{K}}}^0\mathrm n}\) indicates that the transition between the \(\textrm{K}^{-}\)p and the \({\overline{\textrm{K}}}^0\)n channel, as currently implemented in the Kyoto model, is too weak. Hence, the data presented in this work provide a unique constraint to pin down the coupling strength to the \({\overline{\textrm{K}}}^0\)n channel.