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Algorithmen Test

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This commit is contained in:
Hendrik Möllersmann
2026-01-17 18:51:47 +01:00
parent 505aee6de7
commit 07212dcc97
8 changed files with 457 additions and 33 deletions
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10
GHA_triaxial/panou.py
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@@ -245,7 +245,7 @@ def gha1_ana_step(ell: EllipsoidTriaxial, point: NDArray, alpha0: float, s: floa
return p1, alpha1
def gha1_ana(ell: EllipsoidTriaxial, point: NDArray, alpha0: float, s: float, maxM: int, maxPartCircum: int = 4) -> Tuple[NDArray, float]:
def gha1_ana(ell: EllipsoidTriaxial, point: NDArray, alpha0: float, s: float, maxM: int, maxPartCircum: int = 16) -> Tuple[NDArray, float]:
if s > np.pi / maxPartCircum * ell.ax:
s /= 2
point_step, alpha_step = gha1_ana(ell, point, alpha0, s, maxM, maxPartCircum)
@@ -286,7 +286,7 @@ def alpha_ell2para(ell: EllipsoidTriaxial, beta: float, lamb: float, alpha_ell:
alpha_para = arctan2(p_para @ sigma_ell, q_para @ sigma_ell)
sigma_para = p_para * sin(alpha_para) + q_para * cos(alpha_para)
if np.linalg.norm(sigma_para - sigma_ell) > 1e-12:
if np.linalg.norm(sigma_para - sigma_ell) > 1e-9:
raise Exception("Alpha Umrechnung fehlgeschlagen")
return u, v, alpha_para
@@ -335,7 +335,7 @@ if __name__ == "__main__":
# diffs_panou[mask_360] = np.abs(diffs_panou[mask_360] - 360)
# print(diffs_panou)
ell = ellipsoide.EllipsoidTriaxial.init_name("KarneyTest2024")
ell: EllipsoidTriaxial = ellipsoide.EllipsoidTriaxial.init_name("KarneyTest2024")
diffs_karney = []
# examples_karney = ne_karney.get_examples((30499, 30500, 40500))
examples_karney = ne_karney.get_random_examples(20)
@@ -343,12 +343,12 @@ if __name__ == "__main__":
beta0, lamb0, alpha0_ell, beta1, lamb1, alpha1_ell, s = example
P0 = ell.ell2cart(beta0, lamb0)
P1_num, alpha1_num = gha1_num(ell, P0, alpha0_ell, s, 5000)
P1_num, alpha1_num = gha1_num(ell, P0, alpha0_ell, s, 10000)
beta1_num, lamb1_num = ell.cart2ell(P1_num)
try:
_, _, alpha0_para = alpha_ell2para(ell, beta0, lamb0, alpha0_ell)
P1_ana, alpha1_ana = gha1_ana(ell, P0, alpha0_para, s, 30, maxPartCircum=16)
P1_ana, alpha1_ana = gha1_ana(ell, P0, alpha0_para, s, 45, maxPartCircum=32)
beta1_ana, lamb1_ana = ell.cart2ell(P1_ana)
except:
beta1_ana, lamb1_ana = np.inf, np.inf