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Robin Tesse
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| @@ -1,157 +1,146 @@ | ||
| import georges_core | ||
| from itertools import product | ||
|
|
||
| import numpy as np | ||
| import pytest | ||
| from georges_core import ureg | ||
|
|
||
| import georges.manzoni | ||
| import georges.manzoni.integrators | ||
| from georges.manzoni import Beam, Input | ||
| from georges.manzoni.elements import Quadrupole, SBend | ||
| from georges import ureg as _ureg | ||
| from georges.manzoni import Input | ||
| from georges.manzoni.beam import MadXBeam, TransportBeam | ||
| from georges.manzoni.integrators import ( | ||
| TransportFirstOrderTaylorIntegrator, | ||
| TransportFirstOrderTaylorIntegratorExact, | ||
| TransportSecondOrderTaylorIntegrator, | ||
| TransportSecondOrderTaylorIntegratorExact, | ||
| ) | ||
|
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||
|
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| @pytest.mark.parametrize( | ||
| "k1, k2, length, energy, x, px, y, py, dpp", | ||
| [ | ||
| # Combined function with K1 (K2 = 0) | ||
| (1.0, 0.0, 1.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 0.0, 1.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 0.0, 10.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 0.0, 10.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 0.0, 1.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 0.0, 1.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 0.0, 10.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 0.0, 10.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| ], | ||
| "k1, k2, length, angle, e1, e2, energy, x, px, y, py, dpp, integrator", | ||
| product( | ||
| [-1, 0, 1], # k1 | ||
| [-0.1, 0, 0.1], # k2 | ||
| [1, 10], # length | ||
| [-10, 0.0, 10], # angle | ||
| [-0.4346, 0.0, 0.4346], # e1 | ||
| [-0.2889, 0.0, 0.2889], # e2 | ||
| [230, 2300], # energy | ||
| [0.0], # x | ||
| [0.0], # px | ||
| [0.0], # y | ||
| [0.0], # py | ||
| [0], # dpp | ||
| [ | ||
| TransportFirstOrderTaylorIntegrator, | ||
| TransportFirstOrderTaylorIntegratorExact, | ||
| TransportSecondOrderTaylorIntegrator, | ||
| TransportSecondOrderTaylorIntegratorExact, | ||
| ], # Transport integrator | ||
| ), | ||
| ) | ||
| def test_transport_combined_dipole(k1, k2, length, energy, x, px, y, py, dpp): | ||
| kin = georges_core.Kinematics(energy * ureg.MeV) | ||
|
|
||
| pt = Beam.compute_pt( | ||
| dpp=dpp, | ||
| beta=kin.beta, | ||
| def test_transport_combined_dipole(k1, k2, length, angle, e1, e2, energy, x, px, y, py, dpp, integrator): | ||
| kin = georges.Kinematics(energy * _ureg.MeV) | ||
| sbend = georges.Element.SBend( | ||
| NAME="SB1", | ||
| L=length * _ureg.m, | ||
| ANGLE=angle * _ureg.degrees, | ||
| K1=k1 * _ureg.m**-2, | ||
| K2=k2 * _ureg.m**-3, | ||
| E1=e1 * _ureg.radians, | ||
| E2=e2 * _ureg.radians, | ||
| ) | ||
|
|
||
| # MAD-X | ||
| obs_madx = georges.manzoni.BeamObserver() | ||
| input_madx = Input( | ||
| sequence=[ | ||
| SBend( | ||
| NAME="D1", | ||
| L=length * ureg.meter, | ||
| ANGLE=30 * ureg.rad, | ||
| K1=k1 / ureg.m**2, | ||
| integrator=georges.manzoni.integrators.MadXIntegrator, | ||
| ), | ||
| ], | ||
| ) | ||
| beam_madx = Beam( | ||
| sequence = georges.PlacementSequence(name="Sequence") | ||
| sequence.place(sbend, at_entry=0 * _ureg.m) | ||
|
|
||
| input_manzoni = Input.from_sequence(sequence=sequence) | ||
| input_manzoni.freeze() | ||
|
|
||
| # MADX Tracking | ||
| beam_madx = MadXBeam( | ||
| kinematics=kin, | ||
| distribution=np.array([[x, px, y, py, dpp, pt]]), | ||
| distribution=np.array([[x, px, y, py, dpp]]), | ||
| ) | ||
| input_madx.track( | ||
| mean_obs_madx = input_manzoni.track( | ||
| beam=beam_madx, | ||
| observers=obs_madx, | ||
| observers=georges.manzoni.BeamObserver(), | ||
| ) | ||
| res_madx = obs_madx.to_df().at["D1", "BEAM_OUT"] | ||
| res_madx = mean_obs_madx.to_df().at["SB1", "BEAM_OUT"] | ||
|
|
||
| # Transport | ||
| obs_transport = georges.manzoni.BeamObserver() | ||
| input_transport = Input( | ||
| sequence=[ | ||
| SBend( | ||
| NAME="D1", | ||
| L=length * ureg.meter, | ||
| ANGLE=30 * ureg.rad, | ||
| K1=k1 / ureg.m**2, | ||
| integrator=georges.manzoni.integrators.TransportSecondOrderTaylorIntegrator, | ||
| ), | ||
| ], | ||
| ) | ||
| beam_transport = Beam( | ||
| beam_transport = TransportBeam( | ||
| kinematics=kin, | ||
| distribution=np.array([[x, px, y, py, 0, dpp]]), | ||
| distribution=np.array([[x, px, y, py, dpp]]), | ||
| ) | ||
| input_transport.track( | ||
|
|
||
| input_manzoni.set_integrator(integrator=integrator) | ||
|
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| mean_obs_transport = input_manzoni.track( | ||
| beam=beam_transport, | ||
| observers=obs_transport, | ||
| observers=georges.manzoni.BeamObserver(), | ||
| ) | ||
| res_transport = obs_transport.to_df().at["D1", "BEAM_OUT"] | ||
| res_transport = mean_obs_transport.to_df().at["SB1", "BEAM_OUT"] | ||
|
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| assert np.all(np.isclose(res_madx[0][0:4], res_transport[0][0:4])) | ||
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| @pytest.mark.parametrize( | ||
| "k1, length, energy, x, px, y, py, dpp", | ||
| [ | ||
| # Pure quadrupole | ||
| (1.0, 1.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 1.0, 230, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 10.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 10.0, 230, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 1.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 1.0, 2300, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 10.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (1.0, 10.0, 2300, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 1.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 1.0, 230, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 10.0, 230, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 10.0, 230, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 1.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 1.0, 2300, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 10.0, 2300, 0.0, 0.0, 0.0, 0.0, 0.0), | ||
| (-1.0, 10.0, 2300, 0.01, 0.0, 0.0, 0.0, 0.0), | ||
| ], | ||
| "k1, length, energy, x, px, y, py, dpp, integrator", | ||
| product( | ||
| [-1, 0, 1], # k1 | ||
| [1, 10], # length | ||
| [230, 2300], # energy | ||
| [-0.001, 0.0, 0.001], # x | ||
| [-0.001, 0.0, 0.001], # px | ||
| [-0.001, 0.0, 0.001], # y | ||
| [-0.001, 0.0, 0.001], # py | ||
| [0], # dpp | ||
| [ | ||
| TransportFirstOrderTaylorIntegrator, | ||
| TransportFirstOrderTaylorIntegratorExact, | ||
| TransportSecondOrderTaylorIntegrator, | ||
| TransportSecondOrderTaylorIntegratorExact, | ||
| ], # Transport integrator | ||
| ), | ||
| ) | ||
| def test_transport_quadrupole(k1, length, energy, x, px, y, py, dpp): | ||
| kin = georges_core.Kinematics(energy * ureg.MeV) | ||
|
|
||
| pt = Beam.compute_pt( | ||
| dpp=dpp, | ||
| beta=kin.beta, | ||
| def test_transport_quadrupole(k1, length, energy, x, px, y, py, dpp, integrator): | ||
| kin = georges.Kinematics(energy * _ureg.MeV) | ||
| quad = georges.Element.Quadrupole( | ||
| NAME="Q1", | ||
| L=length * _ureg.m, | ||
| K1=k1 * _ureg.m**-2, | ||
| ) | ||
|
|
||
| # MAD-X | ||
| obs_madx = georges.manzoni.BeamObserver() | ||
| input_madx = Input( | ||
| sequence=[ | ||
| Quadrupole( | ||
| NAME="Q1", | ||
| L=length * ureg.meter, | ||
| K1=k1 / ureg.meter**2, | ||
| integrator=georges.manzoni.integrators.MadXIntegrator, | ||
| ), | ||
| ], | ||
| ) | ||
| beam_madx = Beam( | ||
| sequence = georges.PlacementSequence(name="Sequence") | ||
| sequence.place(quad, at_entry=0 * _ureg.m) | ||
|
|
||
| input_manzoni = Input.from_sequence(sequence=sequence) | ||
| input_manzoni.freeze() | ||
|
|
||
| # MADX Tracking | ||
| beam_madx = MadXBeam( | ||
| kinematics=kin, | ||
| distribution=np.array([[x, px, y, py, dpp, pt]]), | ||
| distribution=np.array([[x, px, y, py, dpp]]), | ||
| ) | ||
| input_madx.track( | ||
| mean_obs_madx = input_manzoni.track( | ||
| beam=beam_madx, | ||
| observers=obs_madx, | ||
| observers=georges.manzoni.BeamObserver(), | ||
| ) | ||
| res_madx = obs_madx.to_df().at["Q1", "BEAM_OUT"] | ||
| res_madx = mean_obs_madx.to_df().at["Q1", "BEAM_OUT"] | ||
|
|
||
| # Transport | ||
| obs_transport = georges.manzoni.BeamObserver() | ||
| input_transport = Input( | ||
| sequence=[ | ||
| Quadrupole( | ||
| NAME="Q1", | ||
| L=length * ureg.meter, | ||
| K1=k1 / ureg.meter**2, | ||
| integrator=georges.manzoni.integrators.TransportSecondOrderTaylorIntegrator, | ||
| ), | ||
| ], | ||
| ) | ||
| beam_transport = Beam( | ||
| beam_transport = TransportBeam( | ||
| kinematics=kin, | ||
| distribution=np.array([[x, px, y, py, 0, dpp]]), | ||
| distribution=np.array([[x, px, y, py, dpp]]), | ||
| ) | ||
| input_transport.track( | ||
|
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| input_manzoni.set_integrator(integrator=integrator) | ||
|
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| mean_obs_transport = input_manzoni.track( | ||
| beam=beam_transport, | ||
| observers=obs_transport, | ||
| observers=georges.manzoni.BeamObserver(), | ||
| ) | ||
| res_transport = obs_transport.to_df().at["Q1", "BEAM_OUT"] | ||
| res_transport = mean_obs_transport.to_df().at["Q1", "BEAM_OUT"] | ||
|
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| assert np.all(np.isclose(res_madx[0][0:4], res_transport[0][0:4])) |