AI energy-recon for SiPM-on-tile ZDC

Adds point-cloud AI-based energy reconstruction for the SiPM-on-tile version of the ZDC. This also changes the energy of the neutrons used in this detector's benchmark from 10 GeV to 20 GeV, since 10 GeV is outside of the range of validity for the model used for this reconstruction.

benchmarks/far_forward/run_zdc_sipmontile.sh

@@ -137,6 +137,9 @@ echo "running inference.py"
 mkdir testdir
 cp ${JUGGLER_REC_FILE} testdir/
 
+conda env create -f benchmarks/far_forward/pointcloud/tensorflow.yml
+conda activate tensorflow
+
 python benchmarks/far_forward/pointcloud/
 python inference.py --results model/ --test_dir ../../../testdir/ --num_test_files 1
 cd -