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Fix pyHalo imports, hardcoded paths, and numpy array errors #7

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10 changes: 6 additions & 4 deletions Model_I/sim_axion.py
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Original file line number Diff line number Diff line change
@@ -1,14 +1,16 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_I/axion/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)


axion_masses = 10**np.random.uniform(-24,-22,num_sim)

for i in range(num_sim):
Expand All @@ -17,8 +19,8 @@
lens.make_vortex(3e10)
lens.make_source_light()
lens.simple_sim()
File = np.array([lens.image_real,axion_masses[i]])
np.save('/users/mtoomey/scratch/deeplense/Model_I_test/axion/axion_sim_' + str(random.getrandbits(128)),File)
File = np.array([lens.image_real, axion_masses[i]], dtype=object)
np.save(save_dir + 'axion_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_I/sim_cdm.py
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Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_I/cdm/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)

for i in range(num_sim):
Expand All @@ -15,7 +18,7 @@
lens.make_source_light()
lens.simple_sim()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_I_test/cdm/cdm_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'cdm_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_I/sim_no_sub.py
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Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_I/no_sub/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)

for i in range(num_sim):
Expand All @@ -15,7 +18,7 @@
lens.make_source_light()
lens.simple_sim()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_I_test/no_sub/no_sub_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'no_sub_sim_' + str(random.getrandbits(128)), File)



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10 changes: 6 additions & 4 deletions Model_II/sim_axion.py
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Original file line number Diff line number Diff line change
@@ -1,14 +1,16 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_II/axion/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)


axion_masses = 10**np.random.uniform(-24,-22,num_sim)

for i in range(num_sim):
Expand All @@ -18,8 +20,8 @@
lens.set_instrument('Euclid')
lens.make_source_light_mag()
lens.simple_sim_2()
File = np.array([lens.image_real,axion_masses[i]])
np.save('/users/mtoomey/scratch/deeplense/Model_II_test/axion/axion_sim_' + str(random.getrandbits(128)),File)
File = np.array([lens.image_real, axion_masses[i]], dtype=object)
np.save(save_dir + 'axion_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_II/sim_cdm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_II/cdm/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)

for i in range(num_sim):
Expand All @@ -16,7 +19,7 @@
lens.make_source_light_mag()
lens.simple_sim_2()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_II_test/cdm/cdm_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'cdm_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_II/sim_no_sub.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_II/no_sub/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(5e3)

for i in range(num_sim):
Expand All @@ -16,7 +19,7 @@
lens.make_source_light_mag()
lens.simple_sim_2()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_II_test/no_sub/no_sub_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'no_sub_sim_' + str(random.getrandbits(128)), File)



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10 changes: 6 additions & 4 deletions Model_III/sim_axion.py
View file
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Original file line number Diff line number Diff line change
@@ -1,14 +1,16 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_III/axion/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(3e5)


axion_masses = 10**np.random.uniform(-24,-22,num_sim)

for i in range(num_sim):
Expand All @@ -18,8 +20,8 @@
lens.set_instrument('hst')
lens.make_source_light_mag()
lens.simple_sim_2()
File = np.array([lens.image_real,axion_masses[i]])
np.save('/users/mtoomey/scratch/deeplense/Model_III_test/axion/axion_sim_' + str(random.getrandbits(128)),File)
File = np.array([lens.image_real, axion_masses[i]], dtype=object)
np.save(save_dir + 'axion_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_III/sim_cdm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_III/cdm/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(3e5)

for i in range(num_sim):
Expand All @@ -16,7 +19,7 @@
lens.make_source_light_mag()
lens.simple_sim_2()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_III_test/cdm/cdm_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'cdm_sim_' + str(random.getrandbits(128)), File)



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7 changes: 5 additions & 2 deletions Model_III/sim_no_sub.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
import matplotlib.pyplot as plt
import numpy as np
import random
import os

from deeplense.lens import DeepLens

base_dir = os.path.dirname(os.path.abspath(__file__))
save_dir = os.path.join(base_dir, '../data/Model_III/no_sub/')
os.makedirs(save_dir, exist_ok=True)

# Number of sims
num_sim = int(3e5)

for i in range(num_sim):
Expand All @@ -16,7 +19,7 @@
lens.make_source_light_mag()
lens.simple_sim_2()
File = lens.image_real
np.save('/users/mtoomey/scratch/deeplense/Model_III_test/no_sub/no_sub_sim_' + str(random.getrandbits(128)),File)
np.save(save_dir + 'no_sub_sim_' + str(random.getrandbits(128)), File)



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16 changes: 12 additions & 4 deletions Model_IV/sim_axion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,14 @@
import matplotlib.pyplot as plt
import h5py
import random
import os

base_dir = os.path.dirname(os.path.abspath(__file__))
data_dir = os.path.join(base_dir, '../data')
train_dir = os.path.join(base_dir, 'train/axion/')
val_dir = os.path.join(base_dir, 'val/axion/')
os.makedirs(train_dir, exist_ok=True)
os.makedirs(val_dir, exist_ok=True)

# lenstronomy module import
import lenstronomy.Util.data_util as data_util
Expand All @@ -30,7 +38,7 @@
Euclid_i = Euclid(band='VIS', psf_type='GAUSSIAN', coadd_years=6)
kwargs_i_band = Euclid_i.kwargs_single_band()

from pyHalo.preset_models import ULDM
from pyHalo.PresetModels.uldm import ULDM
from pyHalo.Halos.lens_cosmo import LensCosmo
from pyHalo.single_realization import SingleHalo

Expand Down Expand Up @@ -191,7 +199,7 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang,zlens=0
######### Load real galaxies
################################################
# To get the images and labels from file
with h5py.File('../data/Galaxy10_DECals.h5', 'r') as F:
with h5py.File(os.path.join(data_dir, 'Galaxy10_DECals.h5'), 'r') as F:
images = np.array(F['images'])
typ = np.array(F['ans'])
z = np.array(F['redshift'])
Expand All @@ -216,7 +224,7 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang,zlens=0
sim = simulate(img_zp1[arr[index]],sigma_v,source_pos_xx,source_pos_yy,source_ang)

if i % 10 == 0:
np.save('val/axion/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(val_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)
else:
np.save('train/axion/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(train_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)

16 changes: 12 additions & 4 deletions Model_IV/sim_cdm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,14 @@
import matplotlib.pyplot as plt
import h5py
import random
import os

base_dir = os.path.dirname(os.path.abspath(__file__))
data_dir = os.path.join(base_dir, '../data')
train_dir = os.path.join(base_dir, 'train/cdm/')
val_dir = os.path.join(base_dir, 'val/cdm/')
os.makedirs(train_dir, exist_ok=True)
os.makedirs(val_dir, exist_ok=True)

# lenstronomy module import
import lenstronomy.Util.data_util as data_util
Expand All @@ -30,7 +38,7 @@
Euclid_i = Euclid(band='VIS', psf_type='GAUSSIAN', coadd_years=6)
kwargs_i_band = Euclid_i.kwargs_single_band()

from pyHalo.preset_models import CDM
from pyHalo.PresetModels.cdm import CDM
from pyHalo.Halos.lens_cosmo import LensCosmo
from pyHalo.single_realization import SingleHalo

Expand Down Expand Up @@ -177,7 +185,7 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang,zlens=0
######### Load real galaxies
################################################
# To get the images and labels from file
with h5py.File('../data/Galaxy10_DECals.h5', 'r') as F:
with h5py.File(os.path.join(data_dir, 'Galaxy10_DECals.h5'), 'r') as F:
images = np.array(F['images'])
typ = np.array(F['ans'])
z = np.array(F['redshift'])
Expand All @@ -202,7 +210,7 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang,zlens=0
sim = simulate(img_zp1[arr[index]],sigma_v,source_pos_xx,source_pos_yy,source_ang)

if i % 10 == 0:
np.save('val/cdm/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(val_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)
else:
np.save('train/cdm/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(train_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)

14 changes: 11 additions & 3 deletions Model_IV/sim_no_sub.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,14 @@
import matplotlib.pyplot as plt
import h5py
import random
import os

base_dir = os.path.dirname(os.path.abspath(__file__))
data_dir = os.path.join(base_dir, '../data')
train_dir = os.path.join(base_dir, 'train/no/')
val_dir = os.path.join(base_dir, 'val/no/')
os.makedirs(train_dir, exist_ok=True)
os.makedirs(val_dir, exist_ok=True)

# lenstronomy module import
import lenstronomy.Util.data_util as data_util
Expand Down Expand Up @@ -140,7 +148,7 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang):
######### Load real galaxies
################################################
# To get the images and labels from file
with h5py.File('../data/Galaxy10_DECals.h5', 'r') as F:
with h5py.File(os.path.join(data_dir, 'Galaxy10_DECals.h5'), 'r') as F:
images = np.array(F['images'])
typ = np.array(F['ans'])
z = np.array(F['redshift'])
Expand All @@ -165,9 +173,9 @@ def simulate(image_galaxy,sigma_v,source_pos_xx,source_pos_yy,source_ang):
sim = simulate(img_zp1[arr[index]],sigma_v,source_pos_xx,source_pos_yy,source_ang)

if i % 10 == 0:
np.save('val/no/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(val_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)
else:
np.save('train/no/sim_'+ str(random.getrandbits(128)),(np.array(sim).clip(min=0)/np.max(sim)),allow_pickle=True)
np.save(os.path.join(train_dir, 'sim_'+ str(random.getrandbits(128))), (np.array(sim).clip(min=0)/np.max(sim)), allow_pickle=True)


"""
Expand Down
2 changes: 1 addition & 1 deletion deeplense/lens.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from astropy import units as u
from astropy.constants import G, c, M_sun

from pyHalo.preset_models import CDM
from pyHalo.PresetModels.cdm import CDM


from lenstronomy.LightModel.light_model import LightModel
Expand Down