Dear experts,
I am trying to generate pure toy datasets using RooMCStudy::generateAndFit()
for a combined dataset and a simultaneous PDF, which is composed of individual PDFs defined in 7 different bins of a flavor tagging parameter r
.
I am using the following code:
reso_ws.factory("sample_4d_pure[r0,r1,r2,r3,r4,r5,r6]")
reso_ws.factory("SIMUL::simPdf_TD(sample_4d_pure, "
"r0=pdf_full_td0, "
"r1=pdf_full_td1, "
"r2=pdf_full_td2, "
"r3=pdf_full_td3, "
"r4=pdf_full_td4, "
"r5=pdf_full_td5, "
"r6=pdf_full_td6)"
)
print(reso_ws.obj("simPdf_TD"))
dataset_td = R.RooDataSet("dataset_td", "combined dataset", data_set_td_0.get())
for i in range(7):
ds = globals()[f"data_set_td_{i}"]
dataset_td.append(ds)
dataset_td.Print('v')
mcstudy = R.RooMCStudy(
reso_ws.pdf("simPdf_TD"),
obs_td,
R.RooFit.ProtoData(dataset_td),
# Binned=True,
Extended=True,
# Silence=True,
FitOptions=dict(Save=True, PrintEvalErrors=1, NumCPU=10)
)
mcstudy.generate(5)
Here is the error log:
roomcstudy_errot.txt (7.3 KB)
Could you please help me correct or improve it?
Thanks!