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Original file line number Diff line number Diff line change
Expand Up @@ -461,10 +461,10 @@
"source": [
"total_gaussians = 30\n",
"\n",
"# The sigma values of the Gaussians will be fixed to values spanning 0.01 to the mask radius, 3.0\".\n",
"# The sigma values of the Gaussians will be fixed to values spanning a tenth of the pixel scale to the mask radius, 3.0\".\n",
"\n",
"mask_radius = 3.0\n",
"log10_sigma_list = np.linspace(-2, np.log10(mask_radius), total_gaussians)\n",
"log10_sigma_list = np.linspace(np.log10(dataset.pixel_scales[0] / 10.0), np.log10(mask_radius), total_gaussians)\n",
"\n",
"# A list of linear light profile `Gaussians` will be input here, which will then be used to fit the data.\n",
"\n",
Expand Down Expand Up @@ -563,9 +563,9 @@
"source": [
"total_gaussians = 30\n",
"\n",
"# The sigma values of the Gaussians will be fixed to values spanning 0.01 to the mask radius, 3.0\".\n",
"# The sigma values of the Gaussians will be fixed to values spanning a tenth of the pixel scale to the mask radius, 3.0\".\n",
"mask_radius = 3.0\n",
"log10_sigma_list = np.linspace(-2, np.log10(mask_radius), total_gaussians)\n",
"log10_sigma_list = np.linspace(np.log10(dataset.pixel_scales[0] / 10.0), np.log10(mask_radius), total_gaussians)\n",
"\n",
"# By defining the centre here, it creates two free parameters that are assigned below to all Gaussians.\n",
"\n",
Expand Down Expand Up @@ -625,9 +625,9 @@
"source": [
"total_gaussians = 15\n",
"\n",
"# The sigma values of the Gaussians will be fixed to values spanning 0.01\" to 1.0\".\n",
"# The sigma values of the Gaussians will be fixed to values spanning 0.0001\" to 1.0\".\n",
"\n",
"log10_sigma_list = np.linspace(-2, np.log10(1.0), total_gaussians)\n",
"log10_sigma_list = np.linspace(-4, np.log10(1.0), total_gaussians)\n",
"\n",
"bulge_gaussian_list = []\n",
"\n",
Expand Down
12 changes: 6 additions & 6 deletions scripts/chapter_2_lens_modeling/tutorial_5_linear_profiles.py
Original file line number Diff line number Diff line change
Expand Up @@ -261,10 +261,10 @@
"""
total_gaussians = 30

# The sigma values of the Gaussians will be fixed to values spanning 0.01 to the mask radius, 3.0".
# The sigma values of the Gaussians will be fixed to values spanning a tenth of the pixel scale to the mask radius, 3.0".

mask_radius = 3.0
log10_sigma_list = np.linspace(-2, np.log10(mask_radius), total_gaussians)
log10_sigma_list = np.linspace(np.log10(dataset.pixel_scales[0] / 10.0), np.log10(mask_radius), total_gaussians)

# A list of linear light profile `Gaussians` will be input here, which will then be used to fit the data.

Expand Down Expand Up @@ -330,9 +330,9 @@
"""
total_gaussians = 30

# The sigma values of the Gaussians will be fixed to values spanning 0.01 to the mask radius, 3.0".
# The sigma values of the Gaussians will be fixed to values spanning a tenth of the pixel scale to the mask radius, 3.0".
mask_radius = 3.0
log10_sigma_list = np.linspace(-2, np.log10(mask_radius), total_gaussians)
log10_sigma_list = np.linspace(np.log10(dataset.pixel_scales[0] / 10.0), np.log10(mask_radius), total_gaussians)

# By defining the centre here, it creates two free parameters that are assigned below to all Gaussians.

Expand Down Expand Up @@ -381,9 +381,9 @@
"""
total_gaussians = 15

# The sigma values of the Gaussians will be fixed to values spanning 0.01" to 1.0".
# The sigma values of the Gaussians will be fixed to values spanning 0.0001" to 1.0".

log10_sigma_list = np.linspace(-2, np.log10(1.0), total_gaussians)
log10_sigma_list = np.linspace(-4, np.log10(1.0), total_gaussians)

bulge_gaussian_list = []

Expand Down
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