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Prepare for aQg30 from Blumlein #302

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3 changes: 1 addition & 2 deletions extras/heavy_em_n3lo/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,11 @@ In order to compute all the N3LO grids run
python produce_grids.py

cores=4
order=3

for nf in 3 4 5; do
for kind in 2 L; do
for channel in g q; do
python yad_grids.py $nf $cores $kind $channel $order gm;
python yad_grids.py $nf $cores $kind $channel ;
done
done
done
Expand Down
27 changes: 7 additions & 20 deletions extras/heavy_em_n3lo/yad_grids.py
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Expand Up @@ -19,27 +19,16 @@
if channel not in ["q", "g"]:
raise ValueError("Set channel to 'g' or 'q'")

order = int(sys.argv[5])

if sys.argv[6] not in ["klmv", "abmp", "gm"]:
raise ValueError("Set hs_version to 'klmv', 'abmp' or 'gm'")
# klmv = Kawamura, Lo Presti, Moch, Vogt: approximation from [arXiv:1205.5727]
# abmp = Alekhin, Blumlein, Moch, Placakyte: approximation from [arXiv:1701.05838]
# gm = approximation from Giacomo Magni, based on the results of [arXiv:2403.00513]

order = 3

mufrac = 1.0
verbose = True

hs_version = "exact" if channel == "q" else sys.argv[6]
if order > 1:
massive = adani.ApproximateCoefficientFunction(
order, kind, channel, True, hs_version
)
elif order == 1:
massive = adani.ExactCoefficientFunction(order, kind, channel)
else:
raise ValueError("Set order to 1, 2 or 3!")
hs_version = "exact"

massive = adani.ApproximateCoefficientFunction(
order, kind, channel, True, hs_version
)


def x_eta(eta, m2Q2):
Expand Down Expand Up @@ -79,7 +68,7 @@ def run(n_threads, eta_grid, xi_grid):

if verbose:
print(
f"Computation of the grid for the coefficient function C{kind}{channel} for nf = {nf}, and µ/Q = {mufrac}"
f"Computation of the grid for the coefficient function C_{kind}{channel}^{order} for nf = {nf}, and µ/Q = {mufrac}"
)
print(f"Size of the grid (eta,xi) = ({len(eta_grid)},{len(xi_grid)})")
print(
Expand All @@ -95,8 +84,6 @@ def run(n_threads, eta_grid, xi_grid):
res_mat = res_vec.reshape(len(xi_grid), len(eta_grid), 3)

for variation in range(-1, 1 + 1):
if order == 1 and variation in [-1, 1]:
continue
if verbose:
print(f"Saving {variation} grid in ", here / output_files[variation])
np.save(here / output_files[variation], res_mat[:, :, variation + 1])
2 changes: 1 addition & 1 deletion src/yadism/coefficient_functions/asy/f2_nc.py
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Expand Up @@ -7,7 +7,7 @@


class AsyGluon(pc.NeutralCurrentBaseAsy):
hs3 = adani.HighScaleSplitLogs(3, "2", "g", "gm")
hs3 = adani.HighScaleSplitLogs(3, "2", "g", "exact")


class AsySinglet(pc.NeutralCurrentBaseAsy):
Expand Down
2 changes: 1 addition & 1 deletion src/yadism/coefficient_functions/asy/fl_nc.py
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Expand Up @@ -11,7 +11,7 @@ class AsyLLGluon(EmptyPartonicChannel):


class AsyGluon(pc.NeutralCurrentBaseAsy):
hs3 = adani.HighScaleSplitLogs(3, "L", "g", "gm")
hs3 = adani.HighScaleSplitLogs(3, "L", "g", "exact")


class AsySinglet(pc.NeutralCurrentBaseAsy):
Expand Down