signed curvature

desc/coils.py

@@ -158,6 +158,11 @@ def current(self, new):
         assert jnp.isscalar(new) or new.size == 1
         self._current = float(np.squeeze(new))
 
+    @property
+    def num_coils(self):
+        """int: Number of coils."""
+        return 1
+
     def _compute_position(self, params=None, grid=None, **kwargs):
         """Compute coil positions accounting for stellarator symmetry.
 
@@ -1665,7 +1670,7 @@ def __init__(self, *coils, name="", check_intersection=True):
     @property
     def num_coils(self):
         """int: Number of coils."""
-        return sum([c.num_coils if hasattr(c, "num_coils") else 1 for c in self])
+        return sum([c.num_coils for c in self])
 
     def compute(
         self,

desc/compute/_curve.py

@@ -1,6 +1,6 @@
 from interpax import interp1d
 
-from desc.backend import jnp
+from desc.backend import jnp, sign
 
 from .data_index import register_compute_fun
 from .geom_utils import rotation_matrix, rpz2xyz, rpz2xyz_vec, xyz2rpz, xyz2rpz_vec
@@ -146,6 +146,34 @@ def _Z_Curve(params, transforms, profiles, data, **kwargs):
     return data
 
 
+@register_compute_fun(
+    name="center",
+    label="\\langle\\mathbf{x}\\rangle",
+    units="m",
+    units_long="meters",
+    description="Centroid of the curve",
+    dim=3,
+    params=["center", "rotmat", "shift"],
+    transforms={},
+    profiles=[],
+    coordinates="s",
+    data=["x"],
+    parameterization="desc.geometry.curve.FourierPlanarCurve",
+    basis_in="{'rpz', 'xyz'}: Basis for input params vectors, Default 'xyz'",
+)
+def _center_FourierPlanarCurve(params, transforms, profiles, data, **kwargs):
+    # convert to xyz
+    if kwargs.get("basis_in", "xyz").lower() == "rpz":
+        center = rpz2xyz(params["center"])
+    else:
+        center = params["center"]
+    # displacement and rotation
+    center = jnp.matmul(center, params["rotmat"].reshape((3, 3)).T) + params["shift"]
+    # convert back to rpz
+    data["center"] = xyz2rpz(center) * jnp.ones_like(data["x"])
+    return data
+
+
 @register_compute_fun(
     name="x",
     label="\\mathbf{x}",
@@ -325,6 +353,35 @@ def _x_sss_FourierPlanarCurve(params, transforms, profiles, data, **kwargs):
     return data
 
 
+@register_compute_fun(
+    name="center",
+    label="\\langle\\mathbf{x}\\rangle",
+    units="m",
+    units_long="meters",
+    description="Centroid of the curve",
+    dim=3,
+    params=["R_n", "Z_n", "rotmat", "shift"],
+    transforms={"R": [[0, 0, 0]], "Z": [[0, 0, 0]]},
+    profiles=[],
+    coordinates="s",
+    data=["x"],
+    parameterization="desc.geometry.curve.FourierRZCurve",
+)
+def _center_FourierRZCurve(params, transforms, profiles, data, **kwargs):
+    idx_Rc = transforms["R"].basis.get_idx(N=1, error=False)
+    idx_Rs = transforms["R"].basis.get_idx(N=-1, error=False)
+    idx_Z = transforms["Z"].basis.get_idx(N=0, error=False)
+    X0 = params["R_n"][idx_Rc] / 2 if isinstance(idx_Rc, int) else 0
+    Y0 = params["R_n"][idx_Rs] / 2 if isinstance(idx_Rs, int) else 0
+    Z0 = params["Z_n"][idx_Z] if isinstance(idx_Z, int) else 0
+    center = jnp.array([X0, Y0, Z0])
+    # displacement and rotation
+    center = jnp.matmul(center, params["rotmat"].reshape((3, 3)).T) + params["shift"]
+    # convert back to rpz
+    data["center"] = xyz2rpz(center) * jnp.ones_like(data["x"])
+    return data
+
+
 @register_compute_fun(
     name="x",
     label="\\mathbf{x}",
@@ -366,20 +423,19 @@ def _x_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     transforms={"R": [[0, 0, 0], [0, 0, 1]], "Z": [[0, 0, 1]], "grid": []},
     profiles=[],
     coordinates="s",
-    data=[],
+    data=["phi"],
     parameterization="desc.geometry.curve.FourierRZCurve",
 )
 def _x_s_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     R0 = transforms["R"].transform(params["R_n"], dz=0)
     dR = transforms["R"].transform(params["R_n"], dz=1)
     dZ = transforms["Z"].transform(params["Z_n"], dz=1)
-    dphi = R0
-    coords = jnp.stack([dR, dphi, dZ], axis=1)
-    # convert to xyz for displacement and rotation
+    coords = jnp.stack([dR, R0, dZ], axis=1)
+    # convert to xyz for rotation using phi=s
     coords = rpz2xyz_vec(coords, phi=transforms["grid"].nodes[:, 2])
     coords = coords @ params["rotmat"].reshape((3, 3)).T
-    # convert back to rpz
-    coords = xyz2rpz_vec(coords, phi=transforms["grid"].nodes[:, 2])
+    # convert back to rpz using real phi to account for displacement
+    coords = xyz2rpz_vec(coords, phi=data["phi"])
     data["x_s"] = coords
     return data
 
@@ -395,24 +451,20 @@ def _x_s_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     transforms={"R": [[0, 0, 0], [0, 0, 1], [0, 0, 2]], "Z": [[0, 0, 2]], "grid": []},
     profiles=[],
     coordinates="s",
-    data=[],
+    data=["phi"],
     parameterization="desc.geometry.curve.FourierRZCurve",
 )
 def _x_ss_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     R0 = transforms["R"].transform(params["R_n"], dz=0)
-    dR = transforms["R"].transform(params["R_n"], dz=1)
+    d1R = transforms["R"].transform(params["R_n"], dz=1)
     d2R = transforms["R"].transform(params["R_n"], dz=2)
     d2Z = transforms["Z"].transform(params["Z_n"], dz=2)
-    R = d2R - R0
-    Z = d2Z
-    # 2nd derivative wrt phi = 0
-    phi = 2 * dR
-    coords = jnp.stack([R, phi, Z], axis=1)
-    # convert to xyz for displacement and rotation
+    coords = jnp.stack([d2R - R0, 2 * d1R, d2Z], axis=1)
+    # convert to xyz for rotation using phi=s
     coords = rpz2xyz_vec(coords, phi=transforms["grid"].nodes[:, 2])
     coords = coords @ params["rotmat"].reshape((3, 3)).T
-    # convert back to rpz
-    coords = xyz2rpz_vec(coords, phi=transforms["grid"].nodes[:, 2])
+    # convert back to rpz using real phi to account for displacement
+    coords = xyz2rpz_vec(coords, phi=data["phi"])
     data["x_ss"] = coords
     return data
 
@@ -432,28 +484,54 @@ def _x_ss_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     },
     profiles=[],
     coordinates="s",
-    data=[],
+    data=["phi"],
     parameterization="desc.geometry.curve.FourierRZCurve",
 )
 def _x_sss_FourierRZCurve(params, transforms, profiles, data, **kwargs):
     R0 = transforms["R"].transform(params["R_n"], dz=0)
-    dR = transforms["R"].transform(params["R_n"], dz=1)
+    d1R = transforms["R"].transform(params["R_n"], dz=1)
     d2R = transforms["R"].transform(params["R_n"], dz=2)
     d3R = transforms["R"].transform(params["R_n"], dz=3)
     d3Z = transforms["Z"].transform(params["Z_n"], dz=3)
-    R = d3R - 3 * dR
-    Z = d3Z
-    phi = 3 * d2R - R0
-    coords = jnp.stack([R, phi, Z], axis=1)
-    # convert to xyz for displacement and rotation
+    coords = jnp.stack([d3R - 3 * d1R, 3 * d2R - R0, d3Z], axis=1)
+    # convert to xyz for rotation using phi=s
     coords = rpz2xyz_vec(coords, phi=transforms["grid"].nodes[:, 2])
     coords = coords @ params["rotmat"].reshape((3, 3)).T
-    # convert back to rpz
-    coords = xyz2rpz_vec(coords, phi=transforms["grid"].nodes[:, 2])
+    # convert back to rpz using real phi to account for displacement
+    coords = xyz2rpz_vec(coords, phi=data["phi"])
     data["x_sss"] = coords
     return data
 
 
+@register_compute_fun(
+    name="center",
+    label="\\langle\\mathbf{x}\\rangle",
+    units="m",
+    units_long="meters",
+    description="Centroid of the curve",
+    dim=3,
+    params=["X_n", "Y_n", "Z_n", "rotmat", "shift"],
+    transforms={"X": [[0, 0, 0]], "Y": [[0, 0, 0]], "Z": [[0, 0, 0]]},
+    profiles=[],
+    coordinates="s",
+    data=["x"],
+    parameterization="desc.geometry.curve.FourierXYZCurve",
+)
+def _center_FourierXYZCurve(params, transforms, profiles, data, **kwargs):
+    idx_X = transforms["X"].basis.get_idx(N=0, error=False)
+    idx_Y = transforms["Y"].basis.get_idx(N=0, error=False)
+    idx_Z = transforms["Z"].basis.get_idx(N=0, error=False)
+    X0 = params["X_n"][idx_X] if isinstance(idx_X, int) else 0
+    Y0 = params["Y_n"][idx_Y] if isinstance(idx_Y, int) else 0
+    Z0 = params["Z_n"][idx_Z] if isinstance(idx_Z, int) else 0
+    center = jnp.array([X0, Y0, Z0])
+    # displacement and rotation
+    center = jnp.matmul(center, params["rotmat"].reshape((3, 3)).T) + params["shift"]
+    # convert to rpz
+    data["center"] = xyz2rpz(center) * jnp.ones_like(data["x"])
+    return data
+
+
 @register_compute_fun(
     name="x",
     label="\\mathbf{x}",
@@ -568,6 +646,31 @@ def _x_sss_FourierXYZCurve(params, transforms, profiles, data, **kwargs):
     return data
 
 
+@register_compute_fun(
+    name="center",
+    label="\\langle\\mathbf{x}\\rangle",
+    units="m",
+    units_long="meters",
+    description="Centroid of the curve",
+    dim=3,
+    params=["X", "Y", "Z", "rotmat", "shift"],
+    transforms={},
+    profiles=[],
+    coordinates="s",
+    data=["x"],
+    parameterization="desc.geometry.curve.SplineXYZCurve",
+)
+def _center_SplineXYZCurve(params, transforms, profiles, data, **kwargs):
+    # center is average of xyz knots
+    xyz = jnp.stack([params["X"], params["Y"], params["Z"]], axis=1)
+    center = jnp.mean(xyz, axis=0)
+    # displacement and rotation
+    center = jnp.matmul(center, params["rotmat"].reshape((3, 3)).T) + params["shift"]
+    # convert to rpz
+    data["center"] = xyz2rpz(center) * jnp.ones_like(data["x"])
+    return data
+
+
 @register_compute_fun(
     name="x",
     label="\\mathbf{x}",
@@ -794,13 +897,12 @@ def _frenet_tangent(params, transforms, profiles, data, **kwargs):
     transforms={},
     profiles=[],
     coordinates="s",
-    data=["x_ss"],
+    data=["x_s", "x_ss"],
     parameterization="desc.geometry.core.Curve",
 )
 def _frenet_normal(params, transforms, profiles, data, **kwargs):
-    data["frenet_normal"] = (
-        data["x_ss"] / jnp.linalg.norm(data["x_ss"], axis=-1)[:, None]
-    )
+    normal = cross(data["x_s"], cross(data["x_ss"], data["x_s"]))
+    data["frenet_normal"] = normal / jnp.linalg.norm(normal, axis=-1)[:, None]
     return data
 
 
@@ -830,20 +932,23 @@ def _frenet_binormal(params, transforms, profiles, data, **kwargs):
     label="\\kappa",
     units="m^{-1}",
     units_long="Inverse meters",
-    description="Scalar curvature of the curve",
+    description="Scalar curvature of the curve, with the sign denoting the convexity/"
+    + "concavity relative to the center of the curve (a circle has positive curvature)",
     dim=1,
     params=[],
     transforms={},
     profiles=[],
     coordinates="s",
-    data=["x_s", "x_ss"],
+    data=["center", "x", "x_s", "x_ss", "frenet_normal"],
     parameterization="desc.geometry.core.Curve",
 )
 def _curvature(params, transforms, profiles, data, **kwargs):
+    # magnitude of curvature
     dxn = jnp.linalg.norm(data["x_s"], axis=-1)[:, jnp.newaxis]
-    data["curvature"] = jnp.linalg.norm(
-        cross(data["x_s"], data["x_ss"]) / dxn**3, axis=-1
-    )
+    curvature = jnp.linalg.norm(cross(data["x_s"], data["x_ss"]) / dxn**3, axis=-1)
+    # sign of curvature (positive = "convex", negative = "concave")
+    r = data["center"] - data["x"]
+    data["curvature"] = curvature * sign(dot(r, data["frenet_normal"]))
     return data
 
 

desc/compute/utils.py

@@ -111,7 +111,7 @@ def compute(parameterization, names, params, transforms, profiles, data=None, **
                 "Tensor quantities cannot be converted to Cartesian coordinates.",
             )
             if data_index[p][name]["dim"] == 3:  # only convert vector data
-                if name == "x":
+                if name in ["x", "center"]:
                     data[name] = rpz2xyz(data[name])
                 else:
                     data[name] = rpz2xyz_vec(data[name], phi=data["phi"])

desc/geometry/curve.py

@@ -577,7 +577,7 @@ class FourierPlanarCurve(Curve):
     _io_attrs_ = Curve._io_attrs_ + ["_r_n", "_center", "_normal", "_r_basis", "_basis"]
 
     # Reference frame is centered at the origin with normal in the +Z direction.
-    # The curve is computed in this frame and then shifted/rotated to the correct frame.
+    # Curve is computed in reference frame, then displaced/rotated to the desired frame.
     def __init__(
         self,
         center=[10, 0, 0],