From f065fa62355422fd48167a46d4b683d67b9a8aaa Mon Sep 17 00:00:00 2001
From: dsjohns2 <dsjohns2@illinois.edu>
Date: Tue, 8 Aug 2017 14:18:43 -0500
Subject: [PATCH] Add ability to extract many simulations at a time
---
POWER/power.py | 295 +++++++++++++++++++++++++------------------------
1 file changed, 149 insertions(+), 146 deletions(-)
diff --git a/POWER/power.py b/POWER/power.py
index 1d5df72..efd30b5 100755
--- a/POWER/power.py
+++ b/POWER/power.py
@@ -239,150 +239,153 @@ def getCutoffFrequency(sim_name):
#-----Main-----#
#Initialize simulation data
-if(len(sys.argv) == 2):
- radiiUsedForExtrapolation = 7 #use the first n radii available
-elif(len(sys.argv) == 3):
- radiiUsedForExtrapolation = int(sys.argv[2]) #use the first n radii available
-else:
- print("Pass in simulation folder and the number of radii to be used in the extrapolation (optional, default=all) (e.g., ./power.py ./simulations/J0040_N40 6).")
+if(len(sys.argv) < 2):
+ print("Pass in the simulation folders and the number n of the n innermost detector radii to be used in the extrapolation (optional, default=all) (e.g., ./power.py ./simulations/J0040_N40 /path/to/my_simulation_folder 6).")
sys.exit()
-sim_path = sys.argv[1]
-main_dir = sim_path
-sim = sim_path.split("/")[-1]
-
-simdirs = main_dir+"/output-????/%s/" % (sim)
-f0 = getCutoffFrequency(sim)
-
-#Create data directories
-main_directory = "Extrapolated_Strain"
-sim_dir = main_directory+"/"+sim
-if not os.path.exists(main_directory):
- os.makedirs(main_directory)
-if not os.path.exists(sim_dir):
- os.makedirs(sim_dir)
-
-#Get ADMMass
-ADMMass = -1
-filename = main_dir+"/output-0000/%s/TwoPunctures.bbh" % (sim)
-with open(filename) as file:
- contents = file.readlines()
- for line in contents:
- line_elems = line.split(" ")
- if(line_elems[0] == "initial-ADM-energy"):
- ADMMass = float(line_elems[-1])
-
-#Get Psi4
-radii = [100, 115, 136, 167, 214, 300, 500]
-psi4dsetname_100 = 'l2_m2_r'+str(radii[0])+'.00'
-psi4dsetname_115 = 'l2_m2_r'+str(radii[1])+'.00'
-psi4dsetname_136 = 'l2_m2_r'+str(radii[2])+'.00'
-psi4dsetname_167 = 'l2_m2_r'+str(radii[3])+'.00'
-psi4dsetname_214 = 'l2_m2_r'+str(radii[4])+'.00'
-psi4dsetname_300 = 'l2_m2_r'+str(radii[5])+'.00'
-psi4dsetname_500 = 'l2_m2_r'+str(radii[6])+'.00'
-mp_psi4_100 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_100)
-mp_psi4_115 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_115)
-mp_psi4_136 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_136)
-mp_psi4_167 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_167)
-mp_psi4_214 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_214)
-mp_psi4_300 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_300)
-mp_psi4_500 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_500)
-mp_psi4_vars = [mp_psi4_100, mp_psi4_115, mp_psi4_136, mp_psi4_167, mp_psi4_214, mp_psi4_300, mp_psi4_500]
-
-#Get Tortoise Coordinate
-tortoise = [None] * 7
-for i in range(0, 7):
- tortoise[i] = -RadialToTortoise(radii[i], ADMMass)
-
-strain = [None]*7
-phase = [None]*7
-amp = [None]*7
-for i in range(0, 7):
- #Get modified Psi4 (Multiply real and imaginary psi4 columns by radii and add the tortoise coordinate to the time colum)
- mp_psi4_vars[i][:, 0] += tortoise[i]
- mp_psi4_vars[i][:, 1] *= radii[i]
- mp_psi4_vars[i][:, 2] *= radii[i]
-
- #Fixed-frequency integration twice to get strain
- hTable = psi4ToStrain(mp_psi4_vars[i], f0)
- time = hTable[:, 0]
- h = hTable[:, 1]
- hplus = h.real
- hcross = h.imag
- newhTable = np.column_stack((time, hplus, hcross))
- warnings.filterwarnings('ignore')
- finalhTable = newhTable.astype(float)
- np.savetxt("./Extrapolated_Strain/"+sim+"/"+sim+"_strain_at_"+str(radii[i])+".dat", finalhTable)
- strain[i] = finalhTable
-
- #Get phase and amplitude of strain
- h_phase = np.unwrap(np.angle(h))
- while(h_phase[0] < 0):
- h_phase[:] += 2*math.pi
- angleTable = np.column_stack((time, h_phase))
- angleTable = angleTable.astype(float)
- phase[i] = angleTable
- h_amp = np.absolute(h)
- ampTable = np.column_stack((time, h_amp))
- ampTable = ampTable.astype(float)
- amp[i] = ampTable
-
-#Interpolate phase and amplitude
-t = phase[0][:, 0]
-last_t = phase[radiiUsedForExtrapolation - 1][-1, 0]
-last_index = 0;
-for i in range(0, len(phase[0][:, 0])):
- if(t[i] > last_t):
- last_index = i
- break
-last_index = last_index-1
-t = phase[0][0:last_index, 0]
-dts = t[1:] - t[:-1]
-dt = float(np.amin(dts))
-t = np.arange(phase[0][0, 0], phase[0][last_index, 0], dt)
-interpolation_order = 9
-for i in range(0, radiiUsedForExtrapolation):
- interp_function = scipy.interpolate.interp1d(phase[i][:, 0], phase[i][:, 1], kind=interpolation_order)
- resampled_phase_vals = interp_function(t)
- while(resampled_phase_vals[0] < 0):
- resampled_phase_vals[:] += 2*math.pi
- phase[i] = np.column_stack((t, resampled_phase_vals))
- interp_function = scipy.interpolate.interp1d(amp[i][:, 0], amp[i][:, 1], kind=interpolation_order)
- resampled_amp_vals = interp_function(t)
- amp[i] = np.column_stack((t, resampled_amp_vals))
-
-#Extrapolate
-phase_extrapolation_order = 1
-amp_extrapolation_order = 2
-radii = np.asarray(radii, dtype=float)
-radii = radii[0:radiiUsedForExtrapolation]
-A_phase = np.power(radii, 0)
-A_amp = np.power(radii, 0)
-for i in range(1, phase_extrapolation_order+1):
- A_phase = np.column_stack((A_phase, np.power(radii, -1*i)))
-
-for i in range(1, amp_extrapolation_order+1):
- A_amp = np.column_stack((A_amp, np.power(radii, -1*i)))
-
-radially_extrapolated_phase = np.empty(0)
-radially_extrapolated_amp = np.empty(0)
-for i in range(0, len(t)):
- b_phase = np.empty(0)
- for j in range(0, radiiUsedForExtrapolation):
- b_phase = np.append(b_phase, phase[j][i, 1])
- x_phase = np.linalg.lstsq(A_phase, b_phase)[0]
- radially_extrapolated_phase = np.append(radially_extrapolated_phase, x_phase[0])
-
- b_amp = np.empty(0)
- for j in range(0, radiiUsedForExtrapolation):
- b_amp = np.append(b_amp, amp[j][i, 1])
- x_amp = np.linalg.lstsq(A_amp, b_amp)[0]
- radially_extrapolated_amp = np.append(radially_extrapolated_amp, x_amp[0])
-
-radially_extrapolated_h_plus = np.empty(0)
-radially_extrapolated_h_cross = np.empty(0)
-for i in range(0, len(radially_extrapolated_amp)):
- radially_extrapolated_h_plus = np.append(radially_extrapolated_h_plus, radially_extrapolated_amp[i] * math.cos(radially_extrapolated_phase[i]))
- radially_extrapolated_h_cross = np.append(radially_extrapolated_h_cross, radially_extrapolated_amp[i] * math.sin(radially_extrapolated_phase[i]))
-
-np.savetxt("./Extrapolated_Strain/"+sim+"/"+sim+"_radially_extrapolated_strain.dat", np.column_stack((t, radially_extrapolated_h_plus, radially_extrapolated_h_cross)))
+elif(os.path.isdir(sys.argv[-1])):
+ radiiUsedForExtrapolation = 7 #use the first n radii available
+ paths = sys.argv[1:]
+elif(not os.path.isdir(sys.argv[-1])):
+ radiiUsedForExtrapolation = int(sys.argv[-1]) #use the first n radii available
+ paths = sys.argv[1:-1]
+
+for sim_path in paths:
+ main_dir = sim_path
+ sim = sim_path.split("/")[-1]
+
+ simdirs = main_dir+"/output-????/%s/" % (sim)
+ f0 = getCutoffFrequency(sim)
+
+ #Create data directories
+ main_directory = "Extrapolated_Strain"
+ sim_dir = main_directory+"/"+sim
+ if not os.path.exists(main_directory):
+ os.makedirs(main_directory)
+ if not os.path.exists(sim_dir):
+ os.makedirs(sim_dir)
+
+ #Get ADMMass
+ ADMMass = -1
+ filename = main_dir+"/output-0000/%s/TwoPunctures.bbh" % (sim)
+ with open(filename) as file:
+ contents = file.readlines()
+ for line in contents:
+ line_elems = line.split(" ")
+ if(line_elems[0] == "initial-ADM-energy"):
+ ADMMass = float(line_elems[-1])
+
+ #Get Psi4
+ radii = [100, 115, 136, 167, 214, 300, 500]
+ psi4dsetname_100 = 'l2_m2_r'+str(radii[0])+'.00'
+ psi4dsetname_115 = 'l2_m2_r'+str(radii[1])+'.00'
+ psi4dsetname_136 = 'l2_m2_r'+str(radii[2])+'.00'
+ psi4dsetname_167 = 'l2_m2_r'+str(radii[3])+'.00'
+ psi4dsetname_214 = 'l2_m2_r'+str(radii[4])+'.00'
+ psi4dsetname_300 = 'l2_m2_r'+str(radii[5])+'.00'
+ psi4dsetname_500 = 'l2_m2_r'+str(radii[6])+'.00'
+ mp_psi4_100 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_100)
+ mp_psi4_115 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_115)
+ mp_psi4_136 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_136)
+ mp_psi4_167 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_167)
+ mp_psi4_214 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_214)
+ mp_psi4_300 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_300)
+ mp_psi4_500 = loadHDF5Series(simdirs+"mp_psi4.h5", psi4dsetname_500)
+ mp_psi4_vars = [mp_psi4_100, mp_psi4_115, mp_psi4_136, mp_psi4_167, mp_psi4_214, mp_psi4_300, mp_psi4_500]
+
+ #Get Tortoise Coordinate
+ tortoise = [None] * 7
+ for i in range(0, 7):
+ tortoise[i] = -RadialToTortoise(radii[i], ADMMass)
+
+ strain = [None]*7
+ phase = [None]*7
+ amp = [None]*7
+ for i in range(0, 7):
+ #Get modified Psi4 (Multiply real and imaginary psi4 columns by radii and add the tortoise coordinate to the time colum)
+ mp_psi4_vars[i][:, 0] += tortoise[i]
+ mp_psi4_vars[i][:, 1] *= radii[i]
+ mp_psi4_vars[i][:, 2] *= radii[i]
+
+ #Fixed-frequency integration twice to get strain
+ hTable = psi4ToStrain(mp_psi4_vars[i], f0)
+ time = hTable[:, 0]
+ h = hTable[:, 1]
+ hplus = h.real
+ hcross = h.imag
+ newhTable = np.column_stack((time, hplus, hcross))
+ warnings.filterwarnings('ignore')
+ finalhTable = newhTable.astype(float)
+ np.savetxt("./Extrapolated_Strain/"+sim+"/"+sim+"_strain_at_"+str(radii[i])+".dat", finalhTable)
+ strain[i] = finalhTable
+
+ #Get phase and amplitude of strain
+ h_phase = np.unwrap(np.angle(h))
+ while(h_phase[0] < 0):
+ h_phase[:] += 2*math.pi
+ angleTable = np.column_stack((time, h_phase))
+ angleTable = angleTable.astype(float)
+ phase[i] = angleTable
+ h_amp = np.absolute(h)
+ ampTable = np.column_stack((time, h_amp))
+ ampTable = ampTable.astype(float)
+ amp[i] = ampTable
+
+ #Interpolate phase and amplitude
+ t = phase[0][:, 0]
+ last_t = phase[radiiUsedForExtrapolation - 1][-1, 0]
+ last_index = 0;
+ for i in range(0, len(phase[0][:, 0])):
+ if(t[i] > last_t):
+ last_index = i
+ break
+ last_index = last_index-1
+ t = phase[0][0:last_index, 0]
+ dts = t[1:] - t[:-1]
+ dt = float(np.amin(dts))
+ t = np.arange(phase[0][0, 0], phase[0][last_index, 0], dt)
+ interpolation_order = 9
+ for i in range(0, radiiUsedForExtrapolation):
+ interp_function = scipy.interpolate.interp1d(phase[i][:, 0], phase[i][:, 1], kind=interpolation_order)
+ resampled_phase_vals = interp_function(t)
+ while(resampled_phase_vals[0] < 0):
+ resampled_phase_vals[:] += 2*math.pi
+ phase[i] = np.column_stack((t, resampled_phase_vals))
+ interp_function = scipy.interpolate.interp1d(amp[i][:, 0], amp[i][:, 1], kind=interpolation_order)
+ resampled_amp_vals = interp_function(t)
+ amp[i] = np.column_stack((t, resampled_amp_vals))
+
+ #Extrapolate
+ phase_extrapolation_order = 1
+ amp_extrapolation_order = 2
+ radii = np.asarray(radii, dtype=float)
+ radii = radii[0:radiiUsedForExtrapolation]
+ A_phase = np.power(radii, 0)
+ A_amp = np.power(radii, 0)
+ for i in range(1, phase_extrapolation_order+1):
+ A_phase = np.column_stack((A_phase, np.power(radii, -1*i)))
+
+ for i in range(1, amp_extrapolation_order+1):
+ A_amp = np.column_stack((A_amp, np.power(radii, -1*i)))
+
+ radially_extrapolated_phase = np.empty(0)
+ radially_extrapolated_amp = np.empty(0)
+ for i in range(0, len(t)):
+ b_phase = np.empty(0)
+ for j in range(0, radiiUsedForExtrapolation):
+ b_phase = np.append(b_phase, phase[j][i, 1])
+ x_phase = np.linalg.lstsq(A_phase, b_phase)[0]
+ radially_extrapolated_phase = np.append(radially_extrapolated_phase, x_phase[0])
+
+ b_amp = np.empty(0)
+ for j in range(0, radiiUsedForExtrapolation):
+ b_amp = np.append(b_amp, amp[j][i, 1])
+ x_amp = np.linalg.lstsq(A_amp, b_amp)[0]
+ radially_extrapolated_amp = np.append(radially_extrapolated_amp, x_amp[0])
+
+ radially_extrapolated_h_plus = np.empty(0)
+ radially_extrapolated_h_cross = np.empty(0)
+ for i in range(0, len(radially_extrapolated_amp)):
+ radially_extrapolated_h_plus = np.append(radially_extrapolated_h_plus, radially_extrapolated_amp[i] * math.cos(radially_extrapolated_phase[i]))
+ radially_extrapolated_h_cross = np.append(radially_extrapolated_h_cross, radially_extrapolated_amp[i] * math.sin(radially_extrapolated_phase[i]))
+
+ np.savetxt("./Extrapolated_Strain/"+sim+"/"+sim+"_radially_extrapolated_strain.dat", np.column_stack((t, radially_extrapolated_h_plus, radially_extrapolated_h_cross)))
--
GitLab