Mass dependence and isospin dependence of short-range correlated pairs

Mass dependence and isospin dependence of short-range correlated pairs

Abstract

The target-mass number dependence of nucleon-nucleon pairs with short-range correlations is explored in a physically transparent geometrical model within a zero-range approximation. The observed dependence of 2-nucleon ejection cross sections in reactions is found to reflect the mass dependence of nuclear density distributions. A parametrization of this dependence is given. The dependence of proton-proton vs. proton-neutron pairs relative to C is also analyzed in this model. It can be understood using simple combinatorics without any additional isospin dependence.

October 23, 2018

I Introduction

Recently the mass () dependence and quantum numbers of short-range correlated (src) pairs were extracted from and reactions Colle et al. (2015); Subedi et al. (2008). There the observed number of proton-proton and proton-neutron pairs was used to constrain the number of initial-state pairs, their quantum numbers and their target mass-dependence. In a series of publications the Ghent group had explored these properties theoretically Vanhalst et al. (2011, 2012, 2011); Ryckebusch et al. (2015). Their theoretical method was based on applying a correlation operator, that contains essential features of the interaction, to a many-body wave function obtained from a harmonic oscillator potential. All the src effects are then contained in that correlation operator. The authors of Ref. Colle et al. (2015) showed that the mass-dependence of the data on and production could indeed be understood in this theoretical framework by assuming a zero-range approximation (ZRA) for the two interacting nucleons. By comparing theoretical results for a nucleus with a large neutron excess, such as Pb, with data one could hope to gain information also on the isospin content of the src pairs.

It is the purpose of this short paper to point out that the observed -dependence is a consequence of nuclear density distributions. We will also apply simple combinatorics to explore the -dependence of proton-proton to proton-neutron ratios.

Ii Geometrical Model

In general any interaction between nucleons depends on the probability to find a nucleon at position and simultaneously another one at and is . For a zero-range interaction the average probability density for finding a pair is then given by

(1)

where is the single-particle density for a nucleus with mass number and is the average nucleon density. In the following we take as a measure for the overall strength of the src. Assuming some generic (e.g. Woods-Saxon) density distribution one sees that for ; here is the nuclear matter saturation density and the nuclear volume. Thus, for large mass numbers , approaches a linear dependence on . For smaller values one expects a correction due to the nuclear surface that is governed by the width parameter in the density distribution.

This is indeed borne out by computing the average density in (1) using the experimental density distributions given in Ref. De Vries et al. (1987). Figure 1 shows a fit to this computed probability per nucleon. In a very good approximation the -dependence of the average density for nuclei between C and Pb is described by

(2)

The first constant term just gives the nuclear matter density and the second term represents a surface correction.

Also shown in Fig. 1 are the values of the normalization of the correlated many-body wave function calculated in Ref. Ryckebusch et al. (2015) which are a measure for the effect of the src operators acting on the harmonic oscillator ground state wave function. For a shape comparison these values were scaled down to the values of . They follow qualitatively the behavior exhibited by the curve representing Eq. (2) with an -dependence Because of the arbitrary normalization the main difference to the dependence given in Eq. (2) is in the surface term; we speculate that this difference could be connected with the unrealistic surface properties of harmonic oscillator wave functions used in Ref. Ryckebusch et al. (2015)1.

Figure 1: Average density per nucleon of Eq. (2) as a function of mass number (solid curve). The points are taken from Table 1 in Ryckebusch et al. (2015). For a shape comparison they were approximately scaled to the values of .

Iii Number of pairs

The calculated -dependence of (Fig. 1) is rather flat for heavier ; the different behavior for the lightest nuclei is due to the increasing relative importance of surface vs. volume effects with decreasing . If we insert Eq. (2) into Eq. (1), the geometrically predicted -dependence of the pair-probability density is given by

(3)

In Figs. 2 and 3 we show the number of pairs relative to both for the -dependence derived from the average density (Eq. (3)) and for that fitted to the explicitly counted number of zero range pairs obtained in Ref. Ryckebusch et al. (2015); the latter curve is very close to the curve labeled ’ZRA’ in Fig. 3 of Ref. Colle et al. (2015).

Also shown in these figures are i) the data points extracted from and cross sections Colle et al. (2015) and ii) the ZRA points given in Colle et al. (2015). Also shown are iii) the points obtained by multiplying the values of the solid curve (3) with the double ratios and for and , respectively, i.e. by the simple combinatorial ratio for the presence of or pairs. Here and are the corresponding ratios for C; about 55% of all pairs are whereas 23 % are by combinatorics alone. Essentially the same combinatorial factor also appears if one starts from Eq. (1) with and for the proton and neutron densities.

Obviously, the overall -dependence is reproduced quite well for the pairs; for pairs the measured -dependence seems to be weaker than the calculated one. For the two light nuclei there is good agreement with the experimental data for both nucleon flavors, both for the ZRA points and the combinatorial points.

However, for the heavy nucleus Pb with its large neutron excess the experimental value for is lower than both of these points (Fig. 2).

Figure 2: Number of src pairs relative to C. Solid line: times average density of Eq. (3) as a function of mass number . Dashed line: mass-dependence fitted to results from Ref. Ryckebusch et al. (2015). Both curves are normalized to 1 for C. ZRA points (triangles) and data from Ref. Colle et al. (2015). Open circles: simple pair count (see text).

A different behavior shows up for the pairs in Fig. 3. Now for Pb both the ZRA number and the combinatorial number are closer to the experimental point, with the combinatorial point at the lower end of the error bar.

Figure 3: Same as Fig. 2 for pairs.

Iv Conclusions

In the preceding section we have shown that the mass dependence of data on the relative number of and pairs in ( reactions can be understood with a set of minimal assumptions. The fact that the dependence is close to linear just reflects the mass-dependence of the average density. This shows that the underlying mechanism is connected with very short range or zero range interactions. The soft mass-dependence was one of the main conclusions of Ref. Colle et al. (2015) and we verify it here. While a rather sophisticated theory and impressive apparatus of many-body theory were used in Refs. Ryckebusch et al. (2015); Colle et al. (2015) one could gain the impression of an inherent complexity of the physics of short range correlations Bertsch and Danielewicz (1996). We have shown here that the observed -dependence is a simple consequence of nuclear geometry; this picture also explains the observed deviation from a strictly linear dependence on in terms of surface effects. Equation (3) gives a simple parametrization of this -dependence.

We have also shown that the experimentally observed -dependence of the numbers of vs.  pairs is mostly determined by geometry and combinatorics combined. Any effects of a predominance of processes over those of , which shows up in the reference nucleus C Subedi et al. (2008), do not appear in the target mass-dependence. For both nucleon flavors the -dependence of the experimental values is nearly compatible with a simple statistical counting rule. If one really wanted to take the observed discrepancies for Pb seriously one would have to conclude that the experimental process seems to be somewhat suppressed compared to simple counting whereas is roughly described without any significant enhancement over the combinatorial result.

The arguments given here are independent of any particular interaction (electromagnetic or weak) and should thus be applicable also for neutrino-nucleus interactions. With the advent of LAr detectors a larger mass (Ar) is being explored than in most other experiments (C). Based on Eq. (3) we thus predict a ratio of about 4.2 for the presence of short-range pairs in Ar vs. C. Conversely, the experimental determination of this ratio for the so-called 2p2h processes could give information on their effective range.

Acknowledgements.
One of the authors (UM) acknowledges many helpful discussions with Jan Ryckebusch. This work was partially supported by Deutsche Forschungsgemeinschaft (DFG) and the Helmholtz International Center for FAIR.

Footnotes

  1. We have found that the shape of the points can be very well described by using a Woods-Saxon density distribution with an unrealistically small surface parameter of a = 0.2 fm.

References

  1. C. Colle, O. Hen, W. Cosyn, I. Korover, E. Piasetzky, J. Ryckebusch,  and L. B. Weinstein, Phys. Rev. C92, 024604 (2015)arXiv:1503.06050 [nucl-th] .
  2. R. Subedi et al.Science 320, 1476 (2008)arXiv:0908.1514 [nucl-ex] .
  3. M. Vanhalst, W. Cosyn,  and J. Ryckebusch, Phys. Rev. C84, 031302 (2011)arXiv:1105.1038 [nucl-th] .
  4. M. Vanhalst, J. Ryckebusch,  and W. Cosyn, Phys. Rev. C86, 044619 (2012)arXiv:1206.5151 [nucl-th] .
  5. J. Ryckebusch, W. Cosyn,  and M. Vanhalst, J. Phys. G42, 055104 (2015)arXiv:1405.3814 [nucl-th] .
  6. H. De Vries, C. W. De Jager,  and C. De Vries, Atom. Data Nucl. Data Tabl. 36, 495 (1987).
  7. G. F. Bertsch and P. Danielewicz, Phys. Lett. B367, 55 (1996)arXiv:nucl-th/9510003 [nucl-th] .
Comments 0
Request Comment
You are adding the first comment!
How to quickly get a good reply:
  • Give credit where it’s due by listing out the positive aspects of a paper before getting into which changes should be made.
  • Be specific in your critique, and provide supporting evidence with appropriate references to substantiate general statements.
  • Your comment should inspire ideas to flow and help the author improves the paper.

The better we are at sharing our knowledge with each other, the faster we move forward.
""
The feedback must be of minimum 40 characters and the title a minimum of 5 characters
   
Add comment
Cancel
Loading ...
311706
This is a comment super asjknd jkasnjk adsnkj
Upvote
Downvote
""
The feedback must be of minumum 40 characters
The feedback must be of minumum 40 characters
Submit
Cancel

You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description