Bump adani to v1.1.0

extras/heavy_em_n3lo/README.md

@@ -1,16 +1,15 @@
-In order to compute all the N3LO grids run
-```
+In order to compute the pre-tabulated aN3LO heavy coefficient functions,
+first run:
+
+```sh
 python produce_grids.py
+```
 
-cores=4
-order=3
+to generate the kinematic values `xi` and `eta` from which the coefficient
+functions will be tabulated on.
 
-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;
-        done
-    done
-done
+Then, run the following command to compute the coefficient functions:
 
+```sh
+./generate_grids.sh
 ```

extras/heavy_em_n3lo/generate_grids.sh

@@ -0,0 +1,12 @@
+#!/bin/bash
+
+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;
+        done
+    done
+done

extras/heavy_em_n3lo/yad_grids.py

@@ -26,7 +26,12 @@
 
 if order > 1:
     massive = adani.ApproximateCoefficientFunction(
-        order, kind, channel, True, adani.Exact
+        order,
+        kind,
+        channel,
+        1.0,
+        True,
+        adani.Exact,
     )
 elif order == 1:
     massive = adani.ExactCoefficientFunction(order, kind, channel)

pyproject.toml

@@ -43,7 +43,7 @@ numba = ">=0.59.0,<=0.62.0"
 eko = ">=0.15.2"
 pandas = "^2.1.4"
 rich = "^12.4.4"
-adani = ">=1.0.6"
+adani = ">=1.1.0"
 LeProHQ = "^0.2.5"
 # pineappl dependency
 pineappl = { version = "^1.1.0", optional = true }