saving gravitational potential and residual momenta for both standard time stepping and fitted p3m time stepping

submit/actual_cola_p3m.sh

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+#!/bin/bash
+#SBATCH --job-name=Stockholm_colap3m_LNNp64
+#SBATCH --output=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/log.log
+#SBATCH --error=/data70/hoellinger/WIP3M/Stockholm_colap3m_LNNp64/err.err
+#SBATCH --nodes=1                        # Number of nodes (value or min-max)
+#SBATCH --ntasks=128                     # The number of tasks (i.e. cores) per node
+#SBATCH --partition=comp,pscomp          # Partition name
+#SBATCH --time=24:00:00
+
+##SBATCH --exclusive
+##SBATCH --nodelist=i26             # Node name
+##SBATCH --mem=64G                  # Memory pool for all cores (see also --mem-per-cpu)
+##SBATCH --array=0-10               # Size of the array
+##SBATCH --constraint=?             # Constraint e.g. specific node type
+
+conda activate p3m
+
+export OMP_NUM_THREADS=32
+python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
+    --run_id Stockholm_colap3m_LNNp64 \
+    --L 64 \
+    --N 64 \
+    --Np 64 \
+    --Npm 128 \
+    --n_Tiles 16 \
+    --z_i 19.0 \
+    --z_f 0.0 \
+    --plot_fields True \
+    --rescale_limiter "fac_p3m_fit" \
+    --use_p3m_fit True \
+    --mod_val_p3m1 0.03 \
+    --mod_val_p3m2 0.07 \
+    --mod_val_p3m3 0.15
+
+# export OMP_NUM_THREADS=64
+# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
+#     --run_id Stockholm_colap3m_LNNp160 \
+#     --L 160 \
+#     --N 160 \
+#     --Np 160 \
+#     --Npm 320 \
+#     --n_Tiles 48 \
+#     --z_i 19.0 \
+#     --z_f 0.0 \
+#     --plot_fields True \
+#     --rescale_limiter "fac_p3m_fit" \
+#     --use_p3m_fit True \
+#     --mod_val_p3m1 0.03 \
+#     --mod_val_p3m2 0.07 \
+#     --mod_val_p3m3 0.15
+
+# export OMP_NUM_THREADS=64
+# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
+#     --run_id Stockholm_colap3m_L80_N80_Np160 \
+#     --L 80 \
+#     --N 80 \
+#     --Np 160 \
+#     --Npm 320 \
+#     --n_Tiles 48 \
+#     --z_i 19.0 \
+#     --z_f 0.0 \
+#     --plot_fields True \
+#     --rescale_limiter "fac_p3m_fit" \
+#     --use_p3m_fit True \
+#     --mod_val_p3m1 0.05 \
+#     --mod_val_p3m2 0.07 \
+#     --mod_val_p3m3 0.15
+
+# export OMP_NUM_THREADS=65
+# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
+#     --run_id Stockholm_colap3m_LNNp256 \
+#     --L 256 \
+#     --N 256 \
+#     --Np 256 \
+#     --Npm 512 \
+#     --n_Tiles 64 \
+#     --z_i 19.0 \
+#     --z_f 0.0 \
+#     --plot_fields True \
+#     --rescale_limiter "fac_p3m_fit" \
+#     --use_p3m_fit True \
+#     --mod_val_p3m1 0.03 \
+#     --mod_val_p3m2 0.07 \
+#     --mod_val_p3m3 0.15
+
+# export OMP_NUM_THREADS=65
+# python $WIP3M_ROOT_PATH"src/wip3m/convergence_cola_p3m_only_expl.py" \
+#     --run_id Stockholm_colap3m_L128_N128_Np256 \
+#     --L 128 \
+#     --N 128 \
+#     --Np 256 \
+#     --Npm 512 \
+#     --n_Tiles 64 \
+#     --z_i 19.0 \
+#     --z_f 0.0 \
+#     --plot_fields True \
+#     --rescale_limiter "fac_p3m_fit" \
+#     --use_p3m_fit True \
+#     --mod_val_p3m1 0.03 \
+#     --mod_val_p3m2 0.07 \
+#     --mod_val_p3m3 0.15