diff --git a/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-dark.png b/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-dark.png index a238d36..9745452 100644 Binary files a/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-dark.png and b/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-dark.png differ diff --git a/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-light.png b/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-light.png index 07f60cf..6c4349b 100644 Binary files a/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-light.png and b/docs/source/figures/illustrations/bulk-water/effect_L_on_R1-light.png differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/analysis.py b/examples/illustrations/bulk-water-tip4p-vs-size/analysis.py index e43395d..31006eb 100644 --- a/examples/illustrations/bulk-water-tip4p-vs-size/analysis.py +++ b/examples/illustrations/bulk-water-tip4p-vs-size/analysis.py @@ -18,7 +18,7 @@ R1_intra = 1e-5 R1_inter = 1e-5 while run: - for N in [25, 39, 62, 99, 158, 251, 398, 631, 1002, 1589, 2521, 6500, 10000]: + for N in [25, 39, 62, 99, 158, 251, 398, 631, 1002, 1589, 6500, 10000]: # 2521 for n in range(20): # Import MDA universe datapath = path + "N"+str(N)+"/" diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_inter_n0.npy new file mode 100644 index 0000000..d71e971 Binary files /dev/null and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_intra_n0.npy new file mode 100644 index 0000000..fc0d49b Binary files /dev/null and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N10000_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n0.npy index c98ecdd..acb5d67 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n1.npy index 2486c5a..56280cc 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_inter_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n0.npy index c58cfc6..320d7e1 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n1.npy index 8e66362..003663b 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1002_intra_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_inter_n0.npy index 2b5847a..e82bc83 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_intra_n0.npy index f7b7863..9f32579 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N1589_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n1.npy index a652e7e..e3c1498 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n2.npy index cff1df5..9d0250a 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n3.npy index d0242f3..3d76958 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n4.npy index 3da6178..0cfbdef 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n5.npy index c00bffd..8a52364 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_inter_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n1.npy index 28441bb..5f809b7 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n2.npy index 19771ad..94f28db 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n3.npy index dce7e47..e80e97b 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n4.npy index 1b70d9f..f71d4dc 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n5.npy index 72ef1b6..5e98b33 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N158_intra_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n0.npy index b279555..5167c48 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n1.npy index 0965459..3ae5eb7 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n2.npy index 7c0ab4c..06c0c66 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n3.npy index 0ac5a8b..ef7ba2b 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n4.npy index ca10d32..5a73c21 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n5.npy index 1f1b4c0..d71f5b0 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_inter_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n0.npy index de6b64c..6cac0b4 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n1.npy index efad2fe..fa9bb26 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n2.npy index 7dc8a5a..bd5f944 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n3.npy index c5a5570..e9113da 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n4.npy index 5ebffb1..b51cb51 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n5.npy index 3ffbb70..21a1256 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N251_intra_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_inter_n0.npy index ce1dcc3..b11bf08 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_intra_n0.npy index 30fa567..1f17858 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N2521_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n0.npy index 313e81f..0b36b90 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n1.npy index d1a0b72..68c5491 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n2.npy index a2c1ace..24208fe 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n3.npy index 8c5638c..6fee445 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n4.npy index 8ffa85d..b29d56f 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n5.npy index 5537506..293be53 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_inter_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n0.npy index 9f8eaa7..f5b332e 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n1.npy index 5e2e52d..9f9cddd 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n2.npy index e13927d..1674aeb 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n3.npy index 6daf8db..1067e28 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n4.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n4.npy index 913c6e3..7447133 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n4.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n4.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n5.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n5.npy index 91f8747..a3c45fa 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n5.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N398_intra_n5.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n0.npy index a22c817..f55dd57 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n1.npy index b80edb1..d6fdcfa 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n2.npy index 729caf0..2d9c37d 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n3.npy index 17411ba..9deb292 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_inter_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n0.npy index aa10f67..811340e 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n1.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n1.npy index 192dcd8..ae6d3b1 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n1.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n1.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n2.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n2.npy index a260dd2..cc1debe 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n2.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n2.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n3.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n3.npy index 2a9125d..19bd3e7 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n3.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N631_intra_n3.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_inter_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_inter_n0.npy index 0c157b1..0c0a426 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_inter_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_inter_n0.npy differ diff --git a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_intra_n0.npy b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_intra_n0.npy index 505402f..1996a17 100644 Binary files a/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_intra_n0.npy and b/examples/illustrations/bulk-water-tip4p-vs-size/raw_data/N6500_intra_n0.npy differ diff --git a/examples/illustrations/bulk-water.ipynb b/examples/illustrations/bulk-water.ipynb index b1b937f..a1b5171 100644 --- a/examples/illustrations/bulk-water.ipynb +++ b/examples/illustrations/bulk-water.ipynb @@ -478,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 164, "id": "ecda8030", "metadata": {}, "outputs": [], @@ -492,7 +492,7 @@ "R1_inter_vs_N = []\n", "R2_inter_vs_N = []\n", "gij_inter_vs_N = []\n", - "for N in [\"N25\", \"N39\", \"N62\", \"N99\", \"N158\", \"N251\", \"N398\", \"N631\", \"N1002\", \"N1589\", \"N2521\", \"N4000\", \"N6500\"]:\n", + "for N in [\"N25\", \"N39\", \"N62\", \"N99\", \"N158\", \"N251\", \"N398\", \"N631\", \"N1002\", \"N1589\", \"N2521\", \"N4000\", \"N6500\", \"N10000\"]:\n", " for n in range(20):\n", " if os.path.exists(\"bulk-water-tip4p-vs-size/raw_data/\"+N+\"_intra_n\"+str(n)+\".npy\"):\n", " t, f, gij, R1, R2 = read_dic(\"bulk-water-tip4p-vs-size/raw_data/\"+N+\"_intra_n\"+str(n)+\".npy\")\n", @@ -500,6 +500,16 @@ " t, f, gij, R1, R2 = read_dic(\"bulk-water-tip4p-vs-size/raw_data/\"+N+\"_inter_n\"+str(n)+\".npy\")\n", " _, _, gij_inter_vs_N, R1_inter_vs_N, R2_inter_vs_N = append_data(t, f, gij, R1, R2, [], [], gij_inter_vs_N, R1_inter_vs_N, R2_inter_vs_N)\n", " all_N.append(np.int32(N[1:]))\n", + " if N == \"N10000\":\n", + " t_N10000 = t\n", + " gij_N10000 = gij\n", + " f_N10000 = f \n", + " R1_N10000 = R1 \n", + " elif N == \"N158\":\n", + " t_N158 = t\n", + " gij_N158 = gij\n", + " f_N158 = f \n", + " R1_N158 = R1 \n", " if N == \"N4000\":\n", " t, f, gij, R1, R2 = read_dic(\"bulk-water-tip4p-vs-temperature/raw_data/N4000_intra_T300K.npy\")\n", " t_vs_N, f_vs_N, gij_intra_vs_N, R1_intra_vs_N, R2_intra_vs_N = append_data(t, f, gij, R1, R2, t_vs_N, f_vs_N, gij_intra_vs_N, R1_intra_vs_N, R2_intra_vs_N)\n", @@ -515,35 +525,15 @@ }, { "cell_type": "code", - "execution_count": 85, - "id": "2332d2dd", - "metadata": {}, - "outputs": [], - "source": [ - "unique_N = []\n", - "unique_mR1 = []\n", - "unique_sR1 = []\n", - "for N in np.unique(all_N):\n", - " unique_N.append(N)\n", - " sub_R1 = R10_inter_vs_N[all_N == N]\n", - " unique_mR1.append(np.mean(sub_R1))\n", - " unique_sR1.append(np.std(sub_R1) / np.sqrt(len(sub_R1)))\n", - "unique_N = np.array(unique_N)\n", - "unique_mR1 = np.array(unique_mR1)\n", - "unique_sR1 = np.array(unique_sR1)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, + "execution_count": 165, "id": "9d58bbd2", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -551,9 +541,9 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -561,69 +551,49 @@ } ], "source": [ + "unique_N = []\n", + "unique_mR1 = []\n", + "unique_sR1 = []\n", + "for N in np.unique(all_N):\n", + " unique_N.append(N)\n", + " sub_R1 = R10_inter_vs_N[all_N == N]\n", + " unique_mR1.append(np.mean(sub_R1))\n", + " unique_sR1.append(np.std(sub_R1) / np.sqrt(len(sub_R1)))\n", + "unique_N = np.array(unique_N)\n", + "unique_mR1 = np.array(unique_mR1)\n", + "unique_sR1 = np.array(unique_sR1)\n", + "\n", "filename = \"effect_L_on_R1\"\n", "for mode, mygray in zip(['light', 'dark'], [colors[\"mylightgray\"], colors[\"mydarkgray\"]]): \n", " fig = plt.figure(figsize=(18,12))\n", " ax, n, l_tot, c_tot = [], 0, 2, 1\n", " n += 1\n", " ax.append(plt.subplot(l_tot, c_tot, n))\n", - " x = np.linspace(200, 7000)\n", " ax[-1].errorbar(unique_N, unique_mR1, unique_sR1, unique_sR1*0, \"s\", color=colors[\"mycyan\"],\n", " markersize = 12, linewidth=4, label=r'$R_1^\\mathrm{inter}$')\n", " ax[-1].semilogx(unique_N, unique_mR1, \"s\", color=colors[\"mycyan\"],\n", " markersize = 12, linewidth=4, label=r'$R_1^\\mathrm{inter}$')\n", - " #x = np.linspace(20, 7000)\n", - " #ax[-1].semilogx(x, x*0 + R10_inter_vs_N[-1],\n", - " # \"--\", color=colors[\"mycyan\"],\n", - " # markersize = 12, linewidth=4)\n", - " complete_panel(ax[-1], r'Number of molecule $N$', r'$R_1^\\mathrm{inter}$ (s$^{-1}$)',\n", + " x = np.linspace(90, 12000)\n", + " ax[-1].semilogx(x, x*0 + R10_inter_vs_N[-1],\n", + " \"--\", color=colors[\"mycyan\"],\n", + " markersize = 12, linewidth=4)\n", + " complete_panel(ax[-1], r'$N$', r'$R_1^\\mathrm{inter}$ (s$^{-1}$)',\n", " legend=False, axis_color=mygray, xpad=15, locator_x = None)\n", - " set_boundaries(plt, x_boundaries=(80, 20000), y_boundaries=(0.1, 0.14), y_ticks=np.arange(0.1, 0.142, 0.01))\n", + " set_boundaries(plt, x_boundaries=(70, 20000), y_boundaries=(0.1, 0.14), y_ticks=np.arange(0.1, 0.142, 0.01))\n", + " n += 1\n", + " ax.append(plt.subplot(l_tot, c_tot, n))\n", + " ax[-1].loglog(t_N158, gij_N158, \"o\", color=colors[\"myorange\"],\n", + " markersize = 12, linewidth=4, label=r'$N = 160$')\n", + " ax[-1].loglog(t_N10000, gij_N10000, \"s\", color=colors[\"mycyan\"],\n", + " markersize = 12, linewidth=4, label=r'$N = 10000$')\n", + " complete_panel(ax[-1], r'$t$ (ps)', r'$G$ (\\AA$^{-6}$)',\n", + " legend=True, axis_color=mygray, xpad=15, locator_x = None, locator_y = None)\n", + " set_boundaries(plt, x_boundaries=(0.08, 2000), y_boundaries=(1e-6, 0.1)) #, y_ticks=np.arange(0.1, 0.142, 0.01))\n", " # x_ticks=np.arange(-1, 0.2, 0.2)\n", - " # add_subplotlabels(fig, ax, [\"a\", \"b\"], color=mygray)\n", + " add_subplotlabels(fig, ax, [\"a\", \"b\"], color=mygray)\n", " save_figure(plt, fig, mode, git_path, path_figures, filename)" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "1099bb29", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3ece20c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8911220", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "575e7079", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4f318ea2", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "a0a3745d",