1. Introduction
Heavy-ion collisions offer a unique method to create hot and dense nuclear matter in the laboratory. If the temperature in the medium exceeds 150 MeV, quark and gluon degrees of freedom appear, and quark-gluon plasma (QGP) can be formed. The deconfinement phase transition is also possible at densities of a few times the normal nuclear density. The production of strange quarks relative to non-strange ones changes in the partonic reactions; thus, the strangeness production was proposed as a QGP signature [
1]. Moreover, it was suggested that the nature of the matter, which is created in heavy-ion interactions, can be characterized via baryon-strangeness correlations inside the medium [
2,
3]. Hypernuclei are bound systems of nucleons and
s; thus, their production rates are sensitive to the initial hyperon–baryon phase–space correlation [
4]. Furthermore, to understand the basic properties of neutron stars, a good knowledge of the dense matter equation of state is crucial. Due to the large density in the core of a neutron star, strange degrees of freedom (hyperons) are expected to appear [
5,
6] The presence of hyperons and their role on the properties of neutron stars depend strongly on the in-medium hyperon–nucleon potential. Hypernuclei offer a unique opportunity to elucidate strong interactions involving hyperons. For instance, precise measurements of hypernucleus lifetimes can provide valuable information on the hyperon–nucleon interaction strength (for recent results on the hypernucleus lifetimes; see [
7,
8]).
The NICA (Nuclotron-based Ion Collider fAcility) project [
9] is aimed at the construction of a new accelerator complex for heavy ions and polarized particles at the Joint Institute for Nuclear Research (JINR) in Dubna, Russia. The NICA complex will be capable of providing ion beams (from protons to bismuth ions) in the energy range from 4 to 11 GeV (in the nucleon–nucleon center-of-mass system) at the nominal luminosity of
cm
s
. The NICA offers a unique possibility to study the properties of strongly interacting matter in the region of high net-baryon density. In particular, precise measurements of hypernuclei, including their yields, lifetimes, and binding energies are among the key objectives of the NICA physics program. The benefit is that statistical thermal models predict the highest production rates of (hyper)nuclei in the NICA energy range [
10].
The main goal of this paper is to perform a feasibility study aimed at testing the MPD’s performance in the reconstruction of hypernuclei in heavy-ion collisions.
3. Reconstruction of Hypernuclei in the MPD Experiment
The NICA complex is planned to operate with beams of bismuth ions during the start-up period. The NICA operation time will be divided between accelerator studies, beam commissioning, and data collection for physics. During this period, beam collisions will be performed at 9.2 GeV (4.6 GeV per beam) with a reduced value of the luminosity of
cm
s
. The MPD team has defined a plan to collect 40–50 million of Bi+Bi collisions per week during the first year of NICA operation. In this study, we use a similar amount of simulated events. As an input for our feasibility study, we use the parton-hadron-quantum-molecular dynamics (PHQMD) microscopic model [
12]. This event generator uses an n-body transport approach, which describes heavy-ion collisions, including the formation of bound systems containing strangeness. As reported in Ref. [
13], PHQMD reproduces the existing experimental data on hadron and (hyper)nucleus production in a broad collision energy range and over a wide phase-space region. We use a set of
Bi+Bi collisions at
GeV. In order to have sufficient statistics of
and
nuclei in the analysis, their yields in the model are enriched by a factor of 40. All produced particles from the model are propagated through the MPD detector with the GEANT program which simulates interactions in the material. All the simulated energy deposits are transformed into the detector response (space points) using realistic description of physics processes in the MPD detector elements. The produced space points are then reconstructed by system-specific cluster-finding procedures. For example, a TPC cluster is a collection of registered charges in several neighboring space and time bins (the bin size is 5 mm in the direction perpendicular to the beam axis and 100 ns in the time direction). The reconstructed clusters are then combined into tracks using the Kalman filter approach [
14]. To find the main collision vertex, all the reconstructed tracks are extrapolated toward the detector center. By extrapolating tracks from the MPD center to the surface of the TOF detector, one can find the matches of TPC tracks with the hits in the TOF system, and for all matched cases, the mass squared (divided by the magnitude of the particle’s charge) can be calculated as
where
l denotes the track length,
p the total momentum,
q the magnitude of the particle’s charge, and
t the time-of-flight.
Identification of charged hadrons and light nuclei in the analysis relies on the combination of the information on the ionization energy loss,
(the energy deposited by charged particles in layers of thickness
) in the TPC gas and the mass-squared from the TOF. The information under interest (
or
) is compared to the expectation for a given species. For the case of the ionization loss, the expected value is taken from the Bethe–Bloch distribution, while for the case of mass-squared, the ‘measured’ value is compared to the particle’s rest mass. In
Figure 2, the specific energy loss and mass-squared for hadrons and light nuclei from Bi+Bi collisions are shown as a function of rigidity,
. The red lines indicate the
boundaries from the expected positions used to separate particles of different types; here,
denotes the corresponding resolution. It should be noted that momentum reconstruction relies on the assumption that all particles are singly charged. Thus, for double-charged nuclei (
He and
He), the reconstructed momentum is two times less than the actual one, and the calculated mass-squared is less then the nominal value by a factor of 4. In this case,
He and deuteron candidates have the same
, and discrimination between these two species is achieved using only the ionization loss information. Once a helium candidate is selected within the expected boundaries, the correct momentum information can be obtained from the refit procedure using the proper value for the electric charge of the candidate.
Hypertritons are reconstructed through the topological decay,
He+
. Once a pair of tracks identified as
He and a negatively charged pion are selected, the distance of closest approach (DCA) between the candidates is defined, thus determining the decay point of the hypertriton candidate. However, if the DCA value is larger than a given threshold, the pair is rejected. For the successive candidates, each daughter track is propagated back to the main vertex, requiring it to have a minimum DCA to the primary vertex to avoid selecting primary particles as daughters. Using the values of the reconstructed momentum components of the tracks, the momentum and the invariant mass of the hypertriton candidate are calculated. Further selection regards the direction of the reconstructed momentum vector of the candidate, which is required to point to the main vertex position by applying a cut in the cosine of the pointing angle. The analysis of reconstructed invariant mass distributions is performed in bins of transverse momentum,
of
GeV/
c width, where
(
) are the particle momentum components in
x (
y) direction. An example distribution for
= 2.0–2.5 GeV/
c is shown in
Figure 3 (left). Blue symbols indicate the reconstructed data. The shown invariant mass distribution can be described (fitted) by a sum of a Gaussian and a polynomial. The Gaussian corresponds to the signal peak, while the polynomial represents the background (uncorrelated combinations of candidates which passed selection criteria) in a certain range around the mass peak. The resulting fit is plotted in
Figure 3 (left) by the red line. One can also indicate the signal parameters (mass and sigma) as well as the signal-to-background ratio (
) and significance (
). The raw signal is extracted by summing the bin content of the histogram over the
region around the nominal peak position. The amount of the combinatorial background, which is estimated from the fit, is subtracted from the bin-counted signal. The extracted signal value in each
-bin is then corrected by applying the efficiency coefficient. This overall efficiency was obtained from the Monte Carlo data and includes the detector acceptance, the branching ratio, the reconstruction efficiency of the daughter particles, the particle identification efficiency of daughters, as well as the efficiencies of topological cuts applied in the secondary vertex reconstruction procedure.
Figure 3 (right) shows the overall reconstruction efficiency for hypertritons as a function of
.
A fully corrected invariant transverse momentum spectrum of hypertritons from Bi+Bi collisions is plotted in
Figure 4. The reconstructed points, which are shown by red symbols, are compared to the initial distribution from the model (blue symbols). As can be seen, both spectra agree within the errors.
Hypertritons are unstable particles; thus, one expects that the yields of the hypertritons in proper time intervals drop off exponentially with the lifetime as a slope parameter. In order to extract the value of the lifetime
, one has to test the yields against the equation,
where
is the proper time, the factor
,
v is the velocity,
L is the decay distance,
p is the particle momentum, and
GeV/
is the hypertriton rest mass.
We extract the hypertriton signal in several bins for the proper time interval [0.1–1.5] ns. An example invariant mass distributions for
ns is plotted in
Figure 5 (left). The signal in each bin is then corrected by the overall efficiency, and the final distribution is plotted in
Figure 5 (right). The distribution is fitted by Equation (
2), and the result of the fit is shown by a solid line. The extracted lifetime parameter (‘p1’ in
Figure 5) is obtained to be
ps, which is quite close to the theoretical (model) value of 263 ps.
Heavier hypernuclei are reconstructed through the decay,
for H nuclei and through the decay mode,
for He.
This analysis was performed in the full MPD phase-space (without subdivision into
or proper time intervals) with the goal to obtain an estimate of the overall MPD efficiency for these hypernucleus species.
Figure 6 shows invariant mass distributions for
H (left) and for
He (right). As can be seen, the efficiency for
He is lower because the three-body topology is much more complicated than the two-body one. Finally, one can estimate the number of registered MPD events for
H during the first running year of the NICA complex (when the collider luminosity is expected to be
cm
c
), taking into account the results obtained in this study for the reconstruction of hypernuclei. Exploiting the MPD reconstruction efficiency and model predictions for
H, one expects to register about
hypertritons per one week of data taking. Since the production rates of heavier hypernuclei (
H and
He) are much lower, the real study of their production starts once the NICA collider achieves its nominal luminosity of
cm
c
.