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GEOPY-2665: Accept 2D inversion mesh (DrapeModel) in sensitivity_cutoff application #404

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Merged
domfournier merged 5 commits into from
May 12, 2026
+5 −4
Merged

GEOPY-2665: Accept 2D inversion mesh (DrapeModel) in sensitivity_cutoff application #404

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a6f8ea8
accept drape model in ui.json/options
benk-mira May 8, 2026
75401bd
update docstring
benk-mira May 8, 2026
6470349
Potential fix for pull request finding
benk-mira May 8, 2026
f047b43
Merge branch 'release/GA_4.8' into GEOPY-2665
benk-mira May 8, 2026
2baee64
Merge branch 'release/GA_4.8' into GEOPY-2665
domfournier May 12, 2026
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3 changes: 2 additions & 1 deletion simpeg_drivers-assets/uijson/sensitivity_cutoff.ui.json
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,8 @@
"mesh": {
"main": true,
"meshType": [
"4ea87376-3ece-438b-bf12-3479733ded46"
"{4ea87376-3ece-438b-bf12-3479733ded46}",
"{c94968ea-cf7d-11eb-b8bc-0242ac130003}"
],
"label": "Mesh",
"value": ""
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6 changes: 3 additions & 3 deletions simpeg_drivers/depth_of_investigation/sensitivity_cutoff/options.py
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Expand Up @@ -13,7 +13,7 @@

from geoapps_utils.base import Options
from geoh5py.data import FloatData
from geoh5py.objects import Octree
from geoh5py.objects import DrapeModel, Octree
from pydantic import field_validator

from simpeg_drivers import assets_path
Expand All @@ -23,7 +23,7 @@ class SensitivityCutoffOptions(Options):
"""
Sensitivity cutoff parameters for depth of investigation studies.

:param mesh: Octree mesh containing saved sensitivities.
:param mesh: Octree mesh or DrapeModel containing saved sensitivities.
:param sensitivity_model: Saved row-sum-squared sensitivity data.
:param sensitivity_cutoff: Sensitivity percentage below which the
model's influence to the data is considered negligible.
Expand All @@ -41,7 +41,7 @@ class SensitivityCutoffOptions(Options):
run_command: str = "simpeg_drivers.depth_of_investigation.sensitivity_cutoff.driver"

conda_environment: str = "simpeg_drivers"
mesh: Octree
mesh: Octree | DrapeModel
sensitivity_model: FloatData
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sensitivity_cutoff: float = 0.1
cutoff_method: str = "percentile"
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