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docs: floor MGE Gaussians at a tenth of the pixel scale #61

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Merged
Jammy2211 merged 1 commit into from
Aug 4, 2026
Merged

docs: floor MGE Gaussians at a tenth of the pixel scale #61

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12 changes: 6 additions & 6 deletions notebooks/chapter_2_modeling/tutorial_5_linear_profiles.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -452,9 +452,9 @@
"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 @@ -560,9 +560,9 @@
"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 @@ -621,9 +621,9 @@
"source": [
"total_gaussians = 10\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",
"disk_gaussian_list = []\n",
"\n",
Expand Down
12 changes: 6 additions & 6 deletions scripts/chapter_2_modeling/tutorial_5_linear_profiles.py
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Original file line number Diff line number Diff line change
Expand Up @@ -250,9 +250,9 @@
"""
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 @@ -325,9 +325,9 @@
"""
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 @@ -375,9 +375,9 @@
"""
total_gaussians = 10

# 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)

disk_gaussian_list = []

Expand Down
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