More information about the package can be foud on the project web site.
Execute cells with Shift + Enter.
Insert a new cell below by pressing 'b'.
import wilson
mywilson = wilson.Wilson({'uG_33': 1e-6},
scale=1e3, eft='SMEFT', basis='Warsaw')
In a Jupyter notebook the Wilson
instance is "pretty printed" in the form of a table showing the input EFT, basis and scale, as well as a table with the input Wilson coefficient values.
mywilson
EFT | Basis | scale |
---|---|---|
SMEFT |
Warsaw |
1000.0 GeV |
Re | Im | |
---|---|---|
uG_33 | 0.000001 | 0.0 |
Running down to the top mass scale, look at the induced values of $C_{uG}^{33}$ and $C_{uB}^{33}$
wc = mywilson.match_run(scale=160, eft='SMEFT', basis='Warsaw')
wc['uG_33'], wc['uB_33']
((1.0228430603379855e-06-1.572304908340795e-19j), (-1.9807848899202916e-08+3.044024654195142e-21j))
$R_{D^*}$ as computed by flavio induced by $(C_{lq}^{(3)})_{3333}$
import flavio
my_wilson = wilson.Wilson({'lq3_3333': 1e-6},
scale=1e3, eft='SMEFT', basis='Warsaw')
RDs_SM = flavio.sm_prediction('Rtaul(B->D*lnu)')
RDs_NP = flavio.np_prediction('Rtaul(B->D*lnu)', my_wilson)
RDs_NP / RDs_SM
0.8847548062233653