4.6 Short-range correlations

In a variational calculation, it is much more difficult to reproduce short-range behaviour of the wave function than the binding energy. Let us compare the zero-range correlations

     ⟨               ⟩
δij =  Ψ | δ(3)(rij) | Ψ  ,
(4.22)

which is used in the perturbative treatment of hyperfine splittings (see Chapter 8). We consider again V = 1 2 rij and i) qqq (mi = 1), ii) qqQ (mi = 1, 1, 5), and iii) QQq (mi = 1, 1, 0.2), in Table 4.6. We remark that when we try to optimize the oscillator parameter in the h.o. expansion (large N) too much, we do not gain significantly on the binding energy (see Table 4.1), but we get very poor results for short-range correlations. On the other hand, one obtains decent values by fixing the parameter at the lowest approximation (N= 0) and then pushing the expansion further. These are rather general properties of variational calculations [50]. The optimization of the energy forces the approximate wave function to match the exact one at intermediate distances. If the asymptotic behaviour is poorly reproduced, one has to compensate at short distances to preserve the normalization.


Table 4.6: Short-range correlation coefficients δ12 and δ13 for the ground state bound by a linear potential V = 1 2 rij, using either the h.o. expansion or the empirical Gaussian expansion. We consider the symmetric case mi = 1 and the set of constituent masses (1, 1, 5) and (1, 1, 0.2).








Case
Harmonic
oscillator
δ12 δ13 Gaussian δ12 δ13







N = 0 (N= 0) 0.05070.0507 1S 0.05070.0507
N = 2 (N= 0) 0.05070.0507 2S 0.05470.0547
qqq N = 4 (N= 4) 0.04710.0471 3S 0.05500.0550
N = 6 (N= 4) 0.04730.0473 1S+1D 0.05160.0516
N = 8 (N= 4) 0.04780.0478 2S+1D 0.05560.0556







N = 0 (N= 0) 0.04300.0926 1S 0.05340.0843
N = 2 (N= 0) 0.05170.0851 2S 0.05820.0906
qqQ N = 4 (N= 4) 0.05070.0829 3S 0.05950.0905
N = 6 (N= 4) 0.05190.0830 1S+1D 0.05330.0870
N = 8 (N= 4) 0.05260.0839 2S+1D 0.05810.0932







N = 0 (N= 0) 0.07540.0145 1S 0.04620.0184
N = 2 (N= 0) 0.04690.0176 2S 0.04870.0201
QQq N = 4 (N= 4) 0.05050.0183 3S 0.05150.0201
N = 6 (N= 4) 0.04840.0188 1S+1D 0.04610.0186
N = 8 (N= 4) 0.04940.0191 2S+1D 0.04860.0203