Reimplement ATLAS_Z0_7TEV_36PB Dataset

[ecole41]

Function have been added to produce data.yaml, kinematics.yaml and uncertainties.yaml files

Old vs New Data Report

https://vp.nnpdf.science/oEHnLzzYQu-glBEl0jRNbQ==/

Compatability Check

[In]:
from validphys.api import API
import numpy as np
 
inp1 = {"dataset_input": {"dataset": "ATLAS_Z0_7TEV_36PB_ETA"}, "theoryid": 40_000_000, "use_cuts": "internal", "t0pdfset": "NNPDF40_nnlo_as_01180", "use_t0": True}
inp2 = {"dataset_input": {"dataset": "ATLASZRAP36PB", "variant": "legacy"}, "theoryid": 40_000_000, "use_cuts": "internal", "t0pdfset": "NNPDF40_nnlo_as_01180", "use_t0": True}

covmat1 = API.covmat_from_systematics(**inp1)
covmat2 = API.covmat_from_systematics(**inp2)
 
t0_covmat1 = API.t0_covmat_from_systematics(**inp1)
t0_covmat2 = API.t0_covmat_from_systematics(**inp2)
 
result = np.all(np.isclose(covmat1, covmat2))
result_2 = np.all(np.isclose(t0_covmat1, t0_covmat2))

print('covmat', result)
print('t0_covmat', result_2)

[Out]:from validphys.api import API
import numpy as np
 
inp1 = {"dataset_input": {"dataset": "ATLASZRAP36PB"}, "theoryid": 40_000_000, "use_cuts": "internal", "t0pdfset": "NNPDF40_nnlo_as_01180", "use_t0": True}
inp2 = {"dataset_input": {"dataset": "ATLASZRAP36PB", "variant": "legacy"}, "theoryid": 40_000_000, "use_cuts": "internal", "t0pdfset": "NNPDF40_nnlo_as_01180", "use_t0": True}

covmat1 = API.covmat_from_systematics(**inp1)
covmat2 = API.covmat_from_systematics(**inp2)
 
t0_covmat1 = API.t0_covmat_from_systematics(**inp1)
t0_covmat2 = API.t0_covmat_from_systematics(**inp2)
 
result = np.all(np.isclose(covmat1, covmat2))
result_2 = np.all(np.isclose(t0_covmat1, t0_covmat2))

print('covmat', result)
print('t0_covmat', result_2)

[jacoterh]

@ecole41 same comment as #2223 also applies here: please redo the report with the updated conversion factor taken into account. Looks good otherwise!

[scarlehoff]

Just like in #2223, there's a factor of 10 missing in the luminosity uncertainty either in the new (*10) or in the old (1/10) data.

[scarlehoff]

Suggested change

	label: abs_eta
	label: "$y$"

Since it is rapidity and not pseudorapidity better to use y. At some point we were using eta/y to automatize a bit things (you can change also the xlabel to $\left\| y\right|$ for instance) and so, some datasets that should be Y ended up being ETA. At some point I guess we'll update them.

[ecole41]

I have just updated this