Source G(1)
Fermilab/MILC [17] 1.0541(83)
HPQCD [18] 1.035(40)
HQE(BPS Expansion) [25] 1.04(2)
Table 2. Different values of G(1) used in B → D`ν
`
fits.
this establishes approximate relations between the slope and the higher power coefficients
of the form factors (valid within ≈ 2%). Other than |V
cb
|, only two parameters parametrize
the form factors under this scenario: ρ
2
D
and G(1). The form factor normalization G(1)
is predicted by both HPQCD and Fermilab/MILC. There is one HQE result based on
Bogomol’nyi-Prasad-Sommerfield (BPS) symmetry (partially) [25] as well. These are listed
in table 2 and G(1) is used as a nuisance parameter in some of our fits.
In our analysis, for the B → D
∗
`ν
`
data, we mainly depend on the unfolded binned
differential decay rates by Belle. For four kinematic variables w, cos θ
v
, cos θ
l
and χ, with
10 bins each, this amounts to a total of 40 data points, their uncertainties and the full
correlation matrix [13]. Other than these, we make use of the zero-recoil value of the form
factor h
A
1
(w) from unquenched Fermilab/MILC lattice data [26]:
h
A
1
(1) = 0.906 ± 0.013 . (2.1)
In addition to these, we have used, in few cases, the inputs from light cone sum rule
(LCSR) [27]:
h
A
1
(w
max
) = 0.65(18), R
1
(w
max
) = 1.32(4), R
2
(w
max
) = 0.91(17), (2.2)
and the following inputs throughout our analysis:
¯m
b
( ¯m
b
) = 4.163 ± 0.016 GeV, m
c
(3 GeV) = 0.986 ±0.013 GeV,
α
S
( ¯m
b
( ¯m
b
)) = 0.2268 ± 0.0023. (2.3)
3 CLN parameterization: fit results
3.1 Fit from B → D`ν
`
data
As shown in table 3, when we fit the available data using CLN parameterization for the
form factors, we use different combinations of the predicted values of G(1). The best results
are obtained when all the inputs are combined together, and the corresponding extracted
values of |V
cb
| and R(D) are shown in table 3. To do a preliminary cross-check of the
validity of the fits, we have completely reproduced the table V of ref. [23], except the last
column, where the authors quote the fit results after averaging the separate samples. We
have instead used the whole 40-data-point-long sample with the full correlation matrix and
have considered values of m
e
and m
µ
to incorporate the correct values of w
max
consistent
with experimental results. The reason for doing this is two-fold: (a) The increased number
– 4 –