def createMesh(self, depth=None, quality=34.3, paraDX=0.5, boundary=0,
paraBoundary=5, apply=True, **kwargs):
"""Create (inversion) mesh using createParaDomain2D
Parameters
----------
apply : bool
set Mesh property of the underlying forward operator
"""
if self.dataContainer is None:
raise('Cannot create mesh without dataContainer.')
if depth is None:
depth = self.getDepth()
self.poly = createParaMeshPLC(self.dataContainer.sensorPositions(),
paraDepth=depth, paraDX=paraDX,
paraBoundary=paraBoundary,
boundary=boundary)
mesh = createMesh(self.poly, quality=quality, smooth=(1, 10))
if apply:
self.setMesh(mesh)
return mesh
def createMesh(self,
depth=None,
quality=34.3,
paraDX=0.5,
boundary=0,
paraBoundary=5,
apply=True,
**kwargs):
"""Create (inversion) mesh using createParaDomain2D
Parameters
----------
apply : bool
set Mesh property of the underlying forward operator
"""
if self.dataContainer is None:
raise BaseException('Cannot create mesh without dataContainer.')
if depth is None:
depth = self.getDepth()
self.poly = createParaMeshPLC(self.dataContainer.sensorPositions(),
paraDepth=depth,
paraDX=paraDX,
paraBoundary=paraBoundary,
boundary=boundary)
mesh = createMesh(self.poly, quality=quality, smooth=(1, 10))
if apply:
self.setMesh(mesh)
return mesh
def createMesh(self,
depth=None,
quality=34.3,
paraDX=1,
boundary=0,
paraBoundary=0,
secNodes=3,
apply=True,
**kwargs):
"""Create (inversion) mesh using createParaDomain2D
Parameters
----------
depth : float, optional
maximum depth, 0 (default) means maximum offset / 3.
paraDX : float
relative distance for refinement nodes between two sensors
e.g., 0 or 1 means no refinement
e.g., 0.5 means 1 additional node between two neighboring sensors
e.g., 0.33 means 2 additional equidistant nodes between two sensors
boundary : float, optional
boundary width to be appended for domain prolongation in absolute
para domain width.
values < 0 force the boundary to be 4 times para domain width.
paraBoundary : float, optional
margin for parameter domain in sensor distances (default 2)
quality : float, optional
mesh quality (smallest angle allowed)
apply : bool, optional
set mesh property of the underlying forward operator
secNodes : int (1)
Amount of secondary nodes to improve accuracy of the forward
solution.
**kwargs: Additional keyword arguments passed to
pygimli.meshtools.createParaMeshPLC
See also
--------
pygimli.meshtools.createParaMeshPLC
"""
if self.dataContainer is None:
raise BaseException('Cannot create mesh without dataContainer.')
if depth is None:
depth = self.getDepth()
self.poly = mt.createParaMeshPLC(self.dataContainer.sensorPositions(),
paraDepth=depth,
paraDX=paraDX,
paraBoundary=paraBoundary,
boundary=boundary,
**kwargs)
mesh = mt.createMesh(self.poly, quality=quality, smooth=(1, 10))
if apply:
self.setMesh(mesh, secNodes=secNodes)
return mesh
def createMesh(self, depth=None, quality=34.3, paraDX=0.5, boundary=0,
paraBoundary=5):
"""Create (inversion) mesh using createParaDomain2D"""
if depth is None:
depth = max(self.getOffset()) / 3.
self.poly = createParaMeshPLC(self.dataContainer.sensorPositions(),
paraDepth=depth, paraDX=paraDX,
paraBoundary=paraBoundary,
boundary=boundary)
mesh = createMesh(self.poly, quality=quality, smooth=(1, 10))
self.setMesh(mesh)
def createMesh(self, depth=None, quality=34.3, paraDX=1, boundary=0,
paraBoundary=0, secNodes=3, apply=True, **kwargs):
"""Create (inversion) mesh using createParaDomain2D
Parameters
----------
depth : float, optional
maximum depth, 0 (default) means maximum offset / 3.
paraDX : float
relative distance for refinement nodes between two sensors
e.g., 0 or 1 means no refinement
e.g., 0.5 means 1 additional node between two neighboring sensors
e.g., 0.33 means 2 additional equidistant nodes between two sensors
boundary : float, optional
boundary width to be appended for domain prolongation in absolute
para domain width.
values < 0 force the boundary to be 4 times para domain width.
paraBoundary : float, optional
margin for parameter domain in sensor distances (default 2)
quality : float, optional
mesh quality (smallest angle allowed)
apply : bool, optional
set mesh property of the underlying forward operator
secNodes : int (1)
Amount of secondary nodes to improve accuracy of the forward
solution.
**kwargs: Additional keyword arguments passed to
pygimli.meshtools.createParaMeshPLC
See also
--------
pygimli.meshtools.createParaMeshPLC
"""
if self.dataContainer is None:
raise BaseException('Cannot create mesh without dataContainer.')
if depth is None:
depth = self.getDepth()
self.poly = mt.createParaMeshPLC(self.dataContainer.sensorPositions(),
paraDepth=depth, paraDX=paraDX,
paraBoundary=paraBoundary,
boundary=boundary, **kwargs)
mesh = mt.createMesh(self.poly, quality=quality, smooth=(1, 10))
if apply:
self.setMesh(mesh, secNodes=secNodes)
return mesh
def parseSurface(self, surf):
"""Parses the surface and creates the parametric domain.
The parameter domain will have marker '2' and the outer region will
have marker '1'.
TODO: Add override capability via **kwargs
"""
self.sensorsPos = self.extractPoints(
surf.findall("point[@type='node']"))
paradx = float(surf.get('paradx', 0.5))
paradepth = float(surf.get('paradepth', 0.0))
paraboundary = float(surf.get('paraboundary', 2.0))
boundary = float(surf.get('boundary', -1.0))
self.paramaxcellsize = float(surf.get('maxcellsize', 0.0))
self.poly = createParaMeshPLC(self.sensorsPos, paradx, paradepth,
paraboundary, self.paramaxcellsize,
boundary)
marker_pos, marker_id = self.extractMarker(surf)
self.poly.addRegionMarker(marker_pos, marker_id)
print(combinedSensors)
# %%
for case in 1, 2:
if case == 2:
p1 = [8., 0, -0.03]
p2 = [12., 0, -0.23]
p3 = [24., 0, -0.37]
p4 = [28., 0, -0.69]
for p in p1, p2, p3, p4:
combinedSensors.createSensor(p)
combinedSensors.sortSensorsX()
plc = mt.createParaMeshPLC(combinedSensors,
paraDX=0.15,
boundary=4,
paraDepth=12,
paraBoundary=3,
paraMaxCellSize=0.3)
if case == 2:
box = pg.Mesh(2)
radius = 2.
points = [(p1, p2), (p3, p4)]
for x, depth, pts in zip([10., 26.], [depth_5198, depth_5000], points):
start = plc.createNode(x - radius, -depth, 0.0)
ul = plc.createNode(pts[0][0], pts[0][2], 0.0)
b = plc.createEdge(start, ul, marker=20)
box.copyBoundary(b)
end = plc.createNode(x + radius, -depth, 0.0)
ur = plc.createNode(pts[1][0], pts[1][2], 0.0)
############
# Settings
maxIter = 15
zWeight = 0.25
############
case = int(sys.argv[1])
ertData = pb.load("erttrue.dat")
print(ertData)
mesh = pg.load("mesh.bms")
depth = mesh.ymax() - mesh.ymin()
# %% Build inversion meshes
plc = mt.createParaMeshPLC(ertData,
paraDepth=depth,
paraDX=0.3,
boundary=0,
paraBoundary=2)
if case == 1:
for depth in (5, 15):
start = plc.createNode(mesh.xmin(), -depth, 0.0)
end = plc.createNode(mesh.xmax(), -depth, 0.0)
plc.createEdge(start, end, marker=1)
for sensor in ertData.sensorPositions():
plc.createNode([sensor.x(), sensor.y() - 0.1])
rect = mt.createRectangle([mesh.xmin(), mesh.ymin()],
[mesh.xmax(), mesh.ymax()],
boundaryMarker=0)
