
8.4 Fourier–Bessel Transform 309
8.4.1 Example: Fourier–Bessel Expansion of Nuclear Charge Density
The differential cross-section for scattering of a high-energy electron from the charge den-
sity of an atomic nucleus takes the schematic form
Σ
E
Σ
pt
F
2
q (8.308)
where Σ
pt
is the cross-section for a point charge, is the angular momentum transfer, q is
the momentum transfer, and F
q is the form factor. The form factor
F
q
0
Ρ
r j
qrr
2
r (8.309)
is the Fourier–Bessel transform
Ρ
r
f
$
$
$
$
$
$
$
$
$
$
$
Z
k1
∆r r
k
rr
k
Y
ˆr,Y
ˆr
k
$
$
$
$
$
$
$
$
$
$
$
i
!
(8.310)
of the transition charge density, which is a reduced matrix element of the charge density
operator between initial and final states i and f . We neglect convection current, magne-
tization, and other complications in this introductory discussion. In its simplest form the
charge density operator sums over all Z protons in the nucleus where the radial delta func-
tion specifies their positions. Given measurements of the form factor for a set of momen-
tum transfers in the range q
min
q q
max
, how does one reconstruct the radial charge
density Ρ
r? If the measurements produced a continuous function over an infinite range,
one would simply use the orthonormality relation for spherical Bessel functions to invert
the Fourier transform according to
Ρ
q
2
Π
0
F
q j
qrq
2
q (8.311)
but experiments are limited in range and provide only discrete points with finite precision.
A more practical method is to expand the radial density in a complete set of basis functions
Ρ
r
n1
a
n
Ρ
,n
rF
q
n1
a
n
˜
Ρ
,n
q (8.312)
where
˜
Ρ
,n
q
0
Ρ
,n
r j
qrr
2
r (8.313)
and to use the method of least-squares to fit the coefficients a
n
to the data.
Recognizing that the charge density occupies a finite volume, a common choice of
radial basis functions is the Fourier–Bessel expansion (FBE)
Ρ
,n
r j
q
,n
r<r R ,j
q
,n
R0 (8.314)
with Dirichlet boundary conditions. Here R should be large enough to comfortably enclose
practically all of the charge but not so large that there are too many q
,n
<q
max
to determine