Analysis of pion production data measured by HADES in proton-proton collisions at 1.25 GeV
G. Agakishiev (7), A. Balanda (3), D. Belver (18), A. Belyaev (7), J., C. Berger-Chen (10,9), A. Blanco (2), M. B\"ohmer (10), J. L. Boyard (16), P., Cabanelas (18), S. Chernenko (7), A. Dybczak (3), E. Epple (10,9), L., Fabbietti (10,9), O. Fateev (7), P. Finocchiaro (1)

TL;DR
This paper analyzes pion production in proton-proton collisions at 1.25 GeV using HADES data, employing partial wave analysis to identify resonance contributions and improve understanding of baryon resonance production mechanisms.
Contribution
It provides a detailed partial wave analysis of pion production data at 1.25 GeV, highlighting the roles of various baryon resonances and non-resonant processes.
Findings
Dominant contribution of Δ(1232) resonance
Significant impact of N(1440) resonance
Evidence of non-resonant partial waves
Abstract
Baryon resonance production in proton-proton collisions at a kinetic beam energy of 1.25 GeV is investigated. The multi-differential data were measured by the HADES collaboration. Exclusive channels with one pion in the final state ( and ) were put to extended studies based on various observables in the framework of a one-pion exchange model and with solutions obtained within the framework of a partial wave analysis (PWA) of the Bonn-Gatchina group. The results of the PWA confirm the dominant contribution of the (1232), yet with a sizable impact of the (1440) and non-resonant partial waves.
Click any figure to enlarge with its caption.
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Figure 23| final state | intermediate process | (mb) | (mb) |
|---|---|---|---|
| 16.90 | 11.1 0.4 | ||
| 1.89 | 1.2 0.2 | ||
| 0.54 | 1.7 0.2 | ||
| 19.35 | 16.34 0.8 | ||
| 3.76 | 2.96 0.07 | ||
| 0.27 | 0.86 0.06 | ||
| 4.03 | 4.2 0.15 |
| Reaction | s (MeV) | (mb) | Reference | |
|---|---|---|---|---|
| 2066 | 50000 | 0.100.03 | ElSamad2006 | |
| 2157 | 542 | 2.070.09 | Andreev1994 | |
| 2178 | 615 | 2.850.13 | Andreev1994 | |
| 2200 | 882 | 3.310.19 | Andreev1994 | |
| 2217 | 993 | 3.700.14 | Andreev1994 | |
| 2234 | 914 | 3.730.15 | Andreev1994 | |
| 2251 | 996 | 3.960.15 | Andreev1994 | |
| 2269 | 1315 | 4.200.15 | Andreev1994 | |
| 2284 | 903 | 4.190.17 | Sarantsev2004 | |
| 2300 | 688 | 4.480.20 | Ermakov2011 | |
| 2319 | 1086 | 4.500.17 | Sarantsev2004 | |
| 2422 | 60000 | 3.870.55 | HADES | |
| 2285 | 4153 | 17.80.4 | Ermakov2014 | |
| 2300 | 2912 | 17.60.6 | Ermakov2011 | |
| 2422 | 60000 | 17.02.2 | HADES |
| Total [%] | [%] | [%] | |
|---|---|---|---|
| 1.8 0.7 | 1 | 1.8 0.7 | |
| 6.8 1.0 | 1.5 0.5 | 5.5 1.0 | |
| 21.0 4.4 | 2.0 1.0 | 12 2.0 | |
| 29.5 3.5 | 30.5 4.0 | 2.3 1.0 | |
| 4.9 1.0 | 4.2 1.0 | 1 | |
| 11.8 2.0 | 6.5 1.0 | 1 | |
| 2.0 2.0 | 2.0 2.0 | 1 | |
| 12.0 3.5 | 12.0 3.0 | 1 | |
| 4.0 1.0 | 4.0 1.0 | 1 | |
| 5.5 1.0 | 5.5 1.0 | 1 | |
| 3.5 0.8 | 1 | 2.2 0.7 | |
| 4.0 1.5 | 1.0 0.5 | 1.7 0.4 | |
| 14.0 6.0 | 2.0 1.0 | 6.7 1.0 | |
| 33.5 3.0 | 29.5 3.0 | 1.0 0.5 | |
| 11.8 1.5 | 8.8 1.3 | 1 | |
| 8.0 1.0 | 6.5 0.8 | 1 | |
| 2.0 2.0 | 2.0 2.0 | 1 | |
| 11.5 2.5 | 11.5 2.5 | 1 | |
| 5.0 1.0 | 5.0 1.0 | 1 | |
| 5.5 1.0 | 5.5 1.0 | 1 | |
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11institutetext: 1Istituto Nazionale di Fisica Nucleare - Laboratori Nazionali del Sud, 95125 Catania, Italy
2LIP-Laboratório de Instrumentação e Física Experimental de Partículas , 3004-516 Coimbra, Portugal
3Smoluchowski Institute of Physics, Jagiellonian University of Cracow, 30-059 Kraków, Poland
4GSI Helmholtzzentrum für Schwerionenforschung GmbH, 64291 Darmstadt, Germany
5Technische Universität Darmstadt, 64289 Darmstadt, Germany
6Institut für Strahlenphysik, Helmholtz-Zentrum Dresden-Rossendorf, 01314 Dresden, Germany
7Joint Institute of Nuclear Research, 141980 Dubna, Russia
8Institut für Kernphysik, Goethe-Universität, 60438 Frankfurt, Germany
9Excellence Cluster ’Origin and Structure of the Universe’ , 85748 Garching, Germany
10Physik Department E12, Technische Universität München, 85748 Garching, Germany
11II.Physikalisches Institut, Justus Liebig Universität Giessen, 35392 Giessen, Germany
12Istituto Nazionale di Fisica Nucleare, Sezione di Milano, 20133 Milano, Italy
13Institute for Nuclear Research, Russian Academy of Science, 117312 Moscow, Russia
14Institute of Theoretical and Experimental Physics, 117218 Moscow, Russia
15Department of Physics, University of Cyprus, 1678 Nicosia, Cyprus
16Institut de Physique Nucléaire, CNRS-IN2P3, Univ. Paris-Sud, Université Paris-Saclay, 91406 Orsay Cedex, France
17Nuclear Physics Institute, Academy of Sciences of Czech Republic, 25068 Rez, Czech Republic
18LabCAF. F. Física, Univ. de Santiago de Compostela, 15706 Santiago de Compostela, Spain
19NRC ”Kurchatov Institute”, PNPI, 188300, Gatchina, Russia
a also at Lawrence Berkeley National Laboratory, Berkeley, USA
b also at ISEC Coimbra, Coimbra, Portugal
c also at ExtreMe Matter Institute EMMI, 64291 Darmstadt, Germany
d also at Technische Universität Dresden, 01062 Dresden, Germany
e also at Dipartimento di Fisica, Università di Milano, 20133 Milano, Italy
f also at Frederick University, 1036 Nicosia, Cyprus
g also at Dipartimento di Fisica and INFN, Università di Torino, 10125 Torino, Italy
h also at Utrecht University, 3584 CC Utrecht, The Netherlands
i also at Helmholtz–Institut für Strahlen– und Kernphysik, Universität Bonn, Germany
Analysis of pion production data measured by HADES
in proton-proton collisions at 1.25 GeV
G. Agakishiev7
A. Balanda3
D. Belver18
A. Belyaev7
J.C. Berger-Chen10,9
A. Blanco2
M. Böhmer10
J. L. Boyard16
P. Cabanelas18
S. Chernenko7
A. Dybczak3
E. Epple10,9
L. Fabbietti10,9
O. Fateev7
P. Finocchiaro1
P. Fonte2,b
J. Friese10
I. Fröhlich8
T. Galatyuk5,c
J. A. Garzón18
R. Gernhäuser10
K. Göbel8
M. Golubeva13
D. González-Díaz5
F. Guber13
M. Gumberidze5,c
T. Heinz4
T. Hennino16
R. Holzmann4
A. Ierusalimov7
I. Iori12,e
A. Ivashkin13
M. Jurkovic10
B. Kämpfer6,d
T. Karavicheva13
I. Koenig4
W. Koenig4
B. W. Kolb4
G. Kornakov5
R. Kotte6
A. Krása17
F. Krizek17
R. Krücken10
H. Kuc3,16
W. Kühn11
A. Kugler17
A. Kurepin13
V. Ladygin7
R. Lalik10,9
S. Lang4
K. Lapidus10,9
A. Lebedev14
T. Liu16
L. Lopes2
M. Lorenz8,h
L. Maier10
A. Mangiarotti2
J. Markert8
V. Metag11
B. Michalska3
J. Michel8
C. Müntz8
R. Münzer10,9
L. Naumann6
Y. C. Pachmayer8
M. Palka3
Y. Parpottas15,f
V. Pechenov4
O. Pechenova8
J. Pietraszko4
W. Przygoda3,∗
B. Ramstein16
A. Reshetin13
A. Rustamov8
A. Sadovsky13
P. Salabura3
A. Schmaha
E. Schwab4
J. Siebenson10
Yu.G. Sobolev17
S. Spatarog
B. Spruck11
H. Ströbele8
J. Stroth8,4
C. Sturm4
A. Tarantola8
K. Teilab8
P. Tlusty17
M. Traxler4
R. Trebacz3
H. Tsertos15
T. Vasiliev7
V. Wagner17
M. Weber10
C. Wendisch6,d
J. Wüstenfeld6
S. Yurevich4
Y. Zanevsky7 (HADES collaboration) and
A. V. Sarantsev19,i,∗
V. A. Nikonov19,i
(Received: date / Revised version: date)
Abstract
Baryon resonance production in proton-proton collisions at a kinetic beam energy of 1.25 GeV is investigated. The multi-differential data were measured by the HADES collaboration. Exclusive channels with one pion in the final state ( and ) were put to extended studies based on various observables in the framework of a one-pion exchange model and with solutions obtained within the framework of a partial wave analysis (PWA) of the Bonn-Gatchina group. The results of the PWA confirm the dominant contribution of the (1232), yet with a sizable impact of the (1440) and non-resonant partial waves.
pacs:
13.30.-a and 13.60.Le and 14.20.Gk and 11.80.Et
††footnotetext: ∗ Corresponding authors: [email protected], [email protected]
1 Introduction
Nucleon-nucleon interactions provide a fundamental knowledge about the nature of nuclear forces with a strong impact on the construction of many dynamic models. Although the elastic scattering is a dominant process at the low energies, the understanding of inelastic collisions is mandatory above the one-pion and two-pion production thresholds (for a review see Moskal2002 ). One of the first semi-phenomenological models by Mandelstam Mandelstam1958 was describing the pion production by the formation of the intermediate state and a decay of the into a nucleon and a pion. However, the absence of dependence of the production amplitude on energy was in contradiction to experimental data at energies above 0.7 GeV. A more advanced approach was realized by one-pion (OPE, see Ferrary1963 ) or by a one-boson exchange (OBE) models, developed by several groups (see i.e. Gersten1971 ; Bryan1972 ; Schierholz1972 ; Erkelenz1974 ; Holinde1975 ; Machleidt1987 ; Engel1996 ). The improved version of the OPE model was proposed by Suslenko and Gaisak Suslenko1986 , describing the experimental data in the reaction in the energy range GeV with an accuracy of . The model was tested also in the reaction at seven energies of the incident proton in the range GeV with the data collected at the PNPI Andreev1994 . Although various differential distributions are described by the model qualitatively well, the predicted total cross sections are lower than the reconstructed from the experimental data. Similar conclusions were reported in the study of the neutral pion production at proton beam momentum 1.581 GeV/c (kinetic energy 0,9 GeV) and 1.628 GeV/c (kinetic energy 0.9089 GeV) Sarantsev2004 , supplemented by the recent studies of channel (Ermakov2014 and Ermakov2011 ) for the same beam momenta. The good data description in the channel leads to the underestimation of the total cross section by the OPE model Suslenko1986 in the channel.
Yet another OPE model, successfully describing the data at slightly higher energies of 0.97 GeV Bugg1964 , 1.48 GeV Eisner1965 and 4 GeV Coletti1967 in the channel, was introduced by Dmitriev et al. Dmitriev1986 . The matrix element in the model is calculated based on the direct and exchange graphs for -production in collisions, with the form factor in the and vertices
[TABLE]
where is the coupling constant adjusted to the data (i.e. GeV for the Bugg1964 ) and denotes the Mandelstam variable for the momentum transfer.
A more versatile dynamical model by Teis et al. Teis1997 describes the production of light mesons in proton-proton collisions and extends it to heavy-ion collisions in the energy range of GeV/u. The major assumptions of this model are: (i) the entire meson production proceeds via intermediate resonance excitation (ii) the total cross section amounts to the incoherent sum of all resonances contributing to a specific channel. The matrix elements for the resonance production were obtained from a fit to the data of 1, , and 2 production cross sections in nucleon-nucleon reactions. They were assumed to be constant, except for the where dependency on was adopted from Dmitriev1986 . A similar approach is also used in other resonance models, e.g. GiBUU Buss2012 ; Weil2012 (with only small modifications of the Teis model Teis1997 ) and UrQMD Bass1998 .
The modelling of the angular distributions of the produced resonances allows for a more detailed comparison with experimental data and is essential when measurements within a limited acceptance coverage are considered. For example, the OPE model of Dmitriev et al. Dmitriev1986 provides anisotropic angular description of the resonance in accordance with experimental data. Other important observables characterizing a source of pion production are the various angular distributions in the nucleon-pion reference systems, i.e. helicity and Gottfried-Jackson frames Gottfried1964 . For instance, the angular distribution of the decay depends on the population of different spin states excited in the process, what can be described in terms of a spin density matrix . Integrating over the full azimuthal range and assuming solely a one-pion exchange, the decay angular distribution follows a distribution, where is the angle of a pion (or a nucleon) in the rest frame with respect to the beam axis (see Gottfried1964 ). Such a parameterization is corroborated by the experimental data Andreev1994 . However, there is not much information on higher mass resonances, and usually isotropic distributions are used in resonance models.
In view of the limitations of the resonance model Teis1997 , the partial wave analysis provides a significant advantage - it includes the coherent sum of both resonant and non-resonant contributions within the solution based on the simultaneous fit to many experimental data samples. The extraction of contributions from different partial waves is performed event by event and based on the maxium-likelihood method. The angular distributions for a given partial wave in the final state, characterized by the spin and parity, are naturally accounted for. Therefore, resonant and non-resonant contributions, including interferences, can be extracted. In this work we compare HADES results on one-pion production obtained with calculations based on the resonance model of Teis1997 and of the partial wave analysis developed by the Bonn-Gatchina group Ermakov2011 .
A detailed knowledge of the resonance production is also essential for the understanding of dielectron sources in nucleon and pion induced reaction (see Hades2014 ). In particular the Dalitz decay presents the next, after the neutral pion decay, important source of lepton pairs at beam energies around 1 GeV. The corresponding branching ratio of the decay and its dependence on the dielectron invariant mass have not yet been measured in the exclusive process like, for example, . The analysis of the hadronic channel , presented in this work, provides a resonance contribution, being a mandatory reference to deduce the branching ratio for the dilepton decay of (a subject of a forthcoming publication).
Our paper is organized as follows: Section 2 introduces the experimental set-up, conditions under which and channels were selected and the normalization procedure. The channels are analyzed within the resonance model ansatz assuming the excitation of (1232) and (1440). Various differential distributions within the HADES acceptance are presented and compared to calculations in Section 3. The acceptance corrected differential and total cross sections are shown in subsections 3.1 and 3.2. Section 4 presents the methodology of the partial wave analysis in collisions and the discussion of the obtained solutions: contributing partial waves, the role of the resonances as well as the non-resonant contributions. Finally, the experimental data are acceptance corrected with the PWA solution. The conclusions compare results obtained with the two methods.
2 The HADES experiment
The experiment was performed with the High Acceptance Di-Electron Spectrometer (HADES) Hades2009 installed at the GSI Helmholtzzentrum für Schwerionenforschung in Germany. A proton beam of particles/s with a kinetic energy of GeV was incident on a liquid hydrogen target. The analysis of this experiment was described already in Ramstein2012 . In this report we extend the studies on various additional observables: angular projections of the identified particles, invariant masses as well as the angular projections in the helicity and in the Gottfried-Jackson frames.
To study one-pion production mechanisms in the hadronic channels, only events with one proton and one pion () and two protons () were identified with the help of the missing mass technique. The collected statistic amounts to events with an identified and events with an identified , respectively. The background estimation was done on the base of a double-differential missing mass spectrum obtained for 20 different bins in the variable and 25 bins in . Prior to the background evaluation, the two-pion contribution to the missing mass spectrum, not very sensitive to details of the two-pion production model, was subtracted, as explained in Ramstein2012 . The background contribution obtained from the fit procedure applied to the final state amounts to a few percents. In the case of the sample the background contribution yields to about ten percents. The estimated background is used to calculate the ratio of signal to total yields, utilized as weights (Q-factors) in the event-by-event partial wave analysis.
All spectra presented in Figs. 1 and 2 are uncorrected distributions within the HADES acceptance. They are normalized to the elastic scattering yield measured in the same experimental run. The reference elastic cross section for the proton in the polar angle range between in c.m.s. amounts to 3.99 0.23 mb (EDDA Collaboration EDDA2004 ). The normalization error is estimated to be , where is derived from the error of the reference differential cross section and is the systematic error of the reconstruction of events with elastic scattering (see Ramstein2012 for details).
3 Results and comparison to resonance model
To describe the data from the reaction, the resonance model by Teis et al. Teis1997 was implemented in the framework of the PLUTO event generator PLUTO2007 . Then, the full GEANT simulation and the Monte-Carlo simulations of the detector response, followed by the same analysis steps employed for the experimental data, were performed. The following hadronic channels were included: (i) with decay (BR = 1) , (ii) with subsequent decays (BR = 1/3) and (BR = 2/3) , (iii) with decays (BR = 0.652/3) and (BR = 0.651/3) for the (1232) reaction. The simulation employs the model of Dmitriev et al. Dmitriev1986 but replaces, as in the resonance model Teis1997 , the original parameterization of the resonance total width by the one given in the Moniz model Koch1984 :
[TABLE]
and are the pole mass and the width of a resonance , is the current resonance mass, and are the three-momenta of the pion in the reference frame of a resonance with mass and , is the angular momentum of the emitted pion ( for the ). The quantity is a parameter in the cut-off function which, in the case of resonance, equals to = 0.3 GeV/c Moniz1981 . Such a parameterization which suppresses the high-mass tail of the resonance, is compatible with the description of the HADES data at a higher energy Hades2014 . The parameterization of the one-pion decay width for the Roper resonance is defined in the similar manner (see Teis1997 for details). The final state interaction (FSI) between the outcoming nucleons was also modeled according to the Jost parameterization Titov2000 .
The production cross sections for the intermediate resonances were also taken from the model Teis1997 , except for the Roper resonance, where a slightly larger cross section was used, based on a lagrangian model Cao2010 . Decay branching ratios to one and two pions at resonance pole masses are taken from the PDG review PDG2014 ). Isospin relations lead to the following ratios between cross sections:
[TABLE]
for the resonance with the isospin , and
[TABLE]
for the (1440) (Roper) resonance with the isospin . The cross sections are listed in Table 1 (column ); the subsequent contributions to the total cross section were added incoherently. It is worth mentioning that the changes affect only the angular distributions of the decay at large c.m.s. angles, keeping the cross section untouched. The calculations with the OPE model Dmitriev1986 remain still valid for most applications and are utilized successfully in modern resonance models (e.g. GiBUU Buss2012 ).
3.1 ** channel**
The description of the intermediate resonance in the channel within the OPE model Dmitriev1986 required the adjustment of the cut-off parameter in Eq. (1) for the vertex form factor. The HADES data favour GeV (see Ramstein2012 ). Further improvement could be achieved with the empirical parameterization of the angular distribution as a function of . It allows to describe the anisotropic production of the resonance as a function of the invariant mass, in agreement with the observations of the former proton-proton experiments Colton1971 . The comparison of the improved model with data is shown in Fig. 1, where various projections of the uncorrected data and the Monte-Carlo simulation (dotted histogram), within the HADES acceptance, are presented. We show single particle angular distributions in the center of mass (c.m.s.), helicity and Gottfried-Jackson (GJ) frames and two-particle invariant mass spectra. The calculations with the resonance model are compared to the data using the normalization explained above, while the results obtained with a partial wave analysis (explained in Section 4) and phase space distributions are normalized to the yield of the data.
Thanks to a good solid angle coverage and a good model description, the data could be corrected for the reconstruction inefficiencies and the detector acceptance, each distribution with the respective one-dimensional correction function. The correction function is constructed, for a given distribution, as ratio of the model yield in and the yield within the HADES acceptance, including all detection and reconstruction inefficiencies obtained using the full analysis chain. The integrated correction factor in the channel varies in the range 20-40, depending on the distribution. The extracted cross section for the channel, in agreement with Ramstein2012 , amounts to (systematic error) mb, with a negligible statistical error. The systematic error includes: error due to the particle identification (selection cuts and the missing mass cut) and the background subtraction, error due to the correction and model uncertainty and is the normalization error (errors are added quadratically). The background subtraction error was deduced by varying of a polynomial function used together with a Gauss function to fit the missing mass spectrum. The model error was estimated from the differences in the integrated yields of the various distributions obtained after acceptance corrections.
3.2 ** channel**
The identification of two protons in the HADES spectrometer results in a reduced acceptance for the reaction channel. As pointed out in Ramstein2012 , the resonance model Teis1997 does not reproduce satisfactorily our measured observables in the channel. To improve the description, the aforementioned parameterization of the resonance angular distribution, deduced from the channel analysis, was applied for the production. Although some angular projections still unravel slight discrepancies between the data and the model, the overall description is quite good (see Fig. 2) and allows for the correction of the data for the reconstruction inefficiencies and detector acceptance, with the model-driven extrapolation, in an analogous way as it was done for the channel. The integrated correction factor in the channel varies in the range 15-25, depending on the distribution. The deduced total cross section amounts to 3.87 0.60 mb. Due to the smaller, as compared to the channel, acceptance coverage, the systematic error related to the acceptance corrections is (estimated as in the previous case), the background subtraction error is similar and amounts to .
Taking into account the isotopic relations between the final state channels, one gets the total cross section for the production equal to either mb (deduced from the channel, where the contribution is mb) or mb (deduced from the channel). The expected ratio is 3, which is satisfied within the errors in both cases: or , respectively. One should notice that the (1440) contribution is negligible in the resonance model approach.
4 Partial wave analysis results
The above modified resonance model describes fairly well the angular and mass distributions and can be used for the acceptance correction of the data. However, the introduced modification of the angular distributions of the resonance does not provide insight into the production mechanism. Moreover, the non-resonant contribution is completely neglected and (1440) contribution is treated in a very simplified manner.
The successful analysis in the framework of the Bonn-Gatchina PWA was already demonstrated in the case of data measured at PNPI at lower energies (see Ermakov2014 and Ermakov2011 ) and for the pK final state Agakishiev2015 in the case of data at a kinetic beam energy of 3.5 measured with HADES. In this approach, the total reaction amplitude is described as a sum of partial wave amplitudes with the corresponding angular dependencies:
[TABLE]
Here , and are the spin, the orbital momentum and the total angular momentum of the initial system, , and denote spin, orbital momentum and total angular momentum of the two-particle system in the final state, and and are spin and orbital momentum between this two-particle system and the spectator particle with index , e.g. (1), (2), (3). The invariant mass of the two-body system is determined by , where is the four-momentum of the spectator and is the total momentum of the reaction. The operators and are tensors of the rank constructed for each event from the momenta of the initial and final state particles. Their convolution provides the angular dependence of the amplitude; the explicit form is given in Anisovich2007 . For the transition amplitude from the initial to the system, we introduced the multi-index that summarizes all quantum numbers described above. The differential cross section calculated from this amplitude is maximized for the data events with the event-by-event maximum likelihood method, thus taking into account all correlations in the multidimensional phase space.
The likelihood function is normalized by the Monte Carlo integral calculated with events generated according to the phase space distribution passed through the simulated detector response and signal reconstruction. It means that the distribution of these events weighted by the cross section from the found solution should closely reproduce, within the HADES acceptance, the distribution of the experimental data. The solution provides also a possibility to extrapolate the cross section to the region with low experimental efficiency and therefore to perform the acceptance correction of the data.
The resonance production in the N channel is parameterized by relativistic Breit-Wigner amplitudes. For the and Roper states we introduce the following parameterization (=2, 3):
[TABLE]
where the multi-index stands for . The resonance total width is equal to the sum of partial widths, and the coupling is connected with the N partial width by:
[TABLE]
Here, the quantity is the relative momentum of the pion and nucleon in the N rest frame, and denotes the Blatt-Weiskopf form factor with interaction radius Anisovich2006 .
Equation 7 defines the energy dependence of the resonance partial width. The initial values of masses and total widths of the resonances were taken from the review of the Particle Data Group PDG2014 and adjusted in the course of the fit procedure. The interaction radius was fixed at 0.8 fm. The total width of the state is completely defined by the decay into the N system with =1 (=, =). This form of Blatt-Weiskopf parameterization is also used in the Manley and Saleski partial wave analysis fit Manley1992 . The difference of the cut-off function, as compared to the Moniz parameterization Eq. (2), is not so pronounced at the energy of 1.25 GeV, but becomes important at higher energies Hades2014 . In the case of the Roper resonance, the N partial width contributes about 65% to the total width of the state. In general, the partial widths defined by the two pion-nucleon channel should have a complicated energy dependence. Possible parameterizations of the Roper resonance do not change the solutions very much, as to be discussed below.
The non-resonant contributions in the scattering channel are parameterized by a modified scattering length approximation expression (=1):
[TABLE]
where is the nucleon-nucleon relative momentum calculated in the rest system, is the orbital momentum of the system, is the effective range and is the scattering length of the system (). For the -waves, Eq. (8) corresponds to the scattering-length approximation formula suggested in Watson1952 ; Migdal1955 . The pn scattering length and effective range are fixed for the -waves at fm, fm and fm and fm.
We started the analysis of the HADES data from the solution found in Ermakov2014 , describing low-energy data very well. The first fit produced a satisfactory description of the data, except of very forward neutron and very backward proton angles in c.m.s. of the reaction. Moreover, we found large interferences between partial waves with Roper production and partial wave with non-resonant production of the system. To stabilize the solution we included in the fit also the lower energy data fitted in Ermakov2014 . The fitted data base is given in Table 2. Number of events used in the PWA is lower than the full available statistics in the case of ElSamad2006 (154972 events) and in the case of the HADES data (for the full statistics see Sec. 2).
To describe simultaneously the data in the energy range between =2.06 and =2.42 , we introduce in the transition amplitudes a dependence on the total energy of the initial system in the same form as in Ermakov2014 ; Ermakov2011 . Thus, the production of resonant and non-resonant two-body states was fitted by:
[TABLE]
where and are real numbers, and the poles at are located in the region of left-hand side singularities of the partial wave amplitudes. Indeed, in most of the fits, the only fitted function was the transition amplitude . In the case of transition from initial state to a two-body state with stable particles, this function is a complex number at a fixed initial energy. In the case of the transition to the two-body subsystem (a resonance or non-resonant rescattering and a spectator) the transition amplitude has contributions from logarithmic singularities defined by the three-particle rescattering. Therefore, it should have a logarithmic dependence on the energy of the intermediate systems. However, this dependence is not important for the production of such a relatively narrow state, as the resonance. In the case of the Roper resonance we did not find a large difference between fits, where (i) the Roper total width was parameterized with the same energy dependence as the N channel only or (ii) fits with a more complicated parameterization of the width with the following decay branching ratios: N (60%), (20%) and N (20%) (see Sarantsev2008 ). We also made fits with free masses and widths of the and Roper states. For (1232) the parameters hardly changed from the PDG values PDG2014 , and for the Roper resonance we only observed problems with convergence of the fit but no notable improvement of the description of the data. Extensive tests did not show any need for a more complicated energy dependence for the non-resonant amplitudes, either. All these solutions were included for our estimate of systematic errors.
Various solutions with the maximum total angular momentum or were considered. At first, we have performed the data base fit (see Table 2) with partial waves with total angular momentum up to , since only these partial waves were found to be important for the description of the lower (than HADES) energy data Ermakov2014 . As in the case of the analysis of the HADES data alone such a fit describes rather well the single state but shows some problems in the description of the reaction. In more details, the forward region of the neutron angular distribution calculated in c.m.s. of the reaction was underestimated by the fit. Let us mention that this angular region is completely covered by the HADES geometrical acceptance. As a consequence of such a description we obtained a rather small total cross section for the reaction.
The very sharp behavior of the cross section at forward neutron angles (see Fig. 1c) is reproduced well by the resonance model. This model includes an infinite number of partial waves based on one-pion exchange and, indeed, we should expect the largest contribution from high momentum waves at extreme angles. To check this idea we introduced in the Bonn-Gatchina analysis the partial waves with total angular momentum decaying into the intermediate state. A similar investigation was performed in Ermakov2014 . It was found that partial waves with the total angular momentum equal to four can contribute up to 6% to the total cross section at highest energy (data set s=2.3 GeV) but cannot be unambiguously identified. The present analysis produces a rather stable solution which defines the contribution from partial waves. It is found to be on the level of 5% at s=2.3 GeV in agreement with Ermakov2014 and it reaches 15% at the HADES energies. Indeed, the fit with high spin partial waves reproduces rather well the forward angular distribution of the neutron in c.m.s. of the reaction (see Figs. 1c and 3c). If partial waves with even higher are added to the fitting program we do not get an improvement of the solution but lose the convergence.
The comparison of the measured data and Monte-Carlo events passed through the detector is shown in Figs. 1 and 2. The PWA solution describes the data better than the one obtained with the modified resonance model and can be used for the acceptance correction of the HADES data. The acceptance corrected distributions are shown in Figs. 3 and 4. The statistical errors are taken from the data, and model uncertainty errors are calculated from the set of solution described above (see the discussion below). Both statistical and model errors were added quadratically and are shown as a grey band.
Figure 5 shows the energy dependence of the pion production cross section ( upper panel, lower panel) and its decomposition into contributions of (1232), (1440) (left) and incoming partial waves (right). As expected, the cross section is dominated by the contributions from the partial waves with the (1232) resonance produced in the intermediate state. In the combined analysis of the data the partial waves with Roper production contributes about 20% to the cross section and on the level of 12% to the cross section. The calculated contribution of the non-resonant terms amounts to 22-25% in the channel and 8-10% in the channel.
Let us point out that the fit to the HADES data alone is optimized with a smaller Roper contributions: it was found to be around 10% for and 6% for the cross sections which is compatible with the modified resonance model results. Contrary to that model which includes an infinite number of the partial waves, the Bonn-Gatchina approach describes the data with a restricted number of partial waves (truncated method). It is based on an observation for the dominance of partial waves with low orbital momenta near production threshold. Thus, at the HADES energies, the amplitudes with production of a Roper state are included only with orbital momenta between Roper and the spectator nucleon. Let us mention that the stability of the obtained solutions is tested by including in the fit partial waves with higher orbital momentum and checking that these contributions are small.
The contributions of the different initial partial waves to the HADES data as well as contributions of the partial waves with and Roper production are listed in Table 3. The errors in Table 3 are defined from the set of solutions which include the combined fit of the whole data base, the fit of the HADES data alone and fits with contributions from higher spin states (). In some of the fits we found notable interferences between non-resonant contributions in the channel and Roper production. In the case of a large correlation we suppressed the non-resonant contributions and re-fitted the data. If the deterioration of the likelihood value was less than 1000 (11) for the channel and less than 1500 (4) for the channel and the fit did not show large systematic deviations in a particular distribution, it was also included in the error analysis. The uncertainties of both, initial partial waves and final state differential projections, span from the minimum to the maximum values obtained from the accepted set of the PWA solutions.
The same systematic approach was used for the calculation of errors for the total cross section obtained from the integration of the PWA solutions in the full solid angle. It was found to be 4.2 0.15 mb for the reaction and 16.34 0.8 mb for the reaction and the quoted errors are treated as the model uncertainty (see Table 1 (column )). The correction of experimental data with the obtained PWA solution provides very similar cross section values: 4.1 0.46 mb and 16.26 1.96 mb, respectively. The errors, added quadratically, include: due to background subtraction and particle identification, the PWA model correction uncertainty and due to normalization. Both cross sections agree well within errors with the cross sections obtained with the modified resonance model approach. However the contribution of the partial waves with production is smaller and there is a notable contribution from the non-resonant terms. These terms provide a rather stable common contribution but show a rather large variation between initial partial waves. The total cross section obtained in the partial wave analysis of all fitted data together with main contributions are shown in Fig. 5 (right). The contributions from leading partial waves have a peak in the region slightly below 2.3 GeV. This peak is created due to a compromise between decreasing partial wave amplitudes and three-body phase volume which grows rapidly near the pion production threshold. A similar behavior was observed in the isospin sector Sarantsev2009 . It would be interesting to check whether such phenomenon can explain a resonance-like behavior of the total cross cross section observed in Kren2009 .
5 Summary and conclusion
The HADES data of the pion production reactions in proton-proton collision were analyzed with a modified OPE model and with the Bonn-Gatchina partial wave analysis method. A detailed study of various observables indicates that the partial wave solution provides not only a better control of the underlying physics but also a better description of experimental data (Figs. 1 and 2). In the channel the discrepancies between PWA and the modified OPE model are visible in all spectra. Hence, the obtained PWA solution suits better to perform a full phase space acceptance correction of the measured data (Figs. 3 and 4).
The contribution of initial waves to the reactions cross section is defined as well as the contributions of partial waves with (1232) and Roper production in the intermediate state. The analysis shows that at given energy of s=2.42 GeV the dominant contribution is defined by the production of (1232) in the intermediate state. This is visible not only in the proton-pion invariant mass distributions but also in the related helicity distributions. Furthermore, the pion angular distributions in the GJ frame shows a strong anisotropy, as expected from the decay. The PWA solution attributes 75 of the total cross section to in the channel and 70 to in the channel. Since no notable influence of the non-resonant partial waves was observed for the (1232) contribution, one can repartition the cross section for the reaction, obtaining the value (syst.) (norm.) mb for the resonance. The partial waves including the Roper production can contribute up to 20% for and up to 12% for .
Acknowledgments
The HADES Collaboration gratefully acknowledges the support by the grants PTDC/FIS/113339/2009 LIP Coimbra, NCN 2013/10/M/ST2/00042 SIP JUC Cracow, 2013 /10/M/ST2/00042 Helmholtz Alliance HA216/EMMI GSI Darmstadt, VH-NG-823, Helmholtz Alliance HA216/EMMI TU Darmstadt, 283286, 05P12CRGHE HZDR Dresden, Helmholtz Alliance HA216/EMMI, HIC for FAIR (LOEWE), GSI F&E Goethe-University, Frankfurt VH-NG-330, BMBF 06MT7180 TU München, Garching BMBF:05P12RGGHM JLU Giessen, Giessen UCY/3411-23100, University Cyprus CNRS/IN2P3, IPN Orsay, Orsay MSMT LG 12007, AS CR M100481202, GACR 13-06759S NPI AS CR, Rez EU Contract No. HP3-283286. The work of A. V. Sarantsev and V. A. Nikonov is supported by RNF grant 14-22-00281.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) P. Moskal et al. , Prog. Part. Nucl. Phys. 49 (2002) 1.
- 2(2) S. Mandelstam, Proc. R. Soc. London A 244 (1958) 491.
- 3(3) E. Ferrary, F. Selleri, Nuovo Cimento 27 (1963) 1450; 21 (1961) 1028; F. Selleri, Nuovo Cimento A 40 (1965) 236.
- 4(4) A. Gersten, R. H. Thompson and A. E. S. Green, Phys. Rev. D 3 (1971) 2076.
- 5(5) R. A. Bryan and A. Gersten, Phys. Rev. D 6 (1972) 341; Phys. Rev. D 7 (1973) 2802.
- 6(6) G. Schierholz, Nucl. Phys. B 40 (1972) 335.
- 7(7) K. Erkelenz, Phys. Rep. 13C (1974) 191.
- 8(8) K. Holinde and R. Machleidt, Nucl. Phys. A 247 (1975) 495; Nucl. Phys. A 256 (1976) 479.
