Source code for test_dentonFluxModel

# 
#  ISC License
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#  Copyright (c) 2021, Autonomous Vehicle Systems Lab, University of Colorado Boulder
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#
#   Unit Test Script
#   Module Name:        dentonFluxModel
#   Author:             Julian Hammerl
#   Creation Date:      December 12, 2021
#
import inspect
import math
import os

import matplotlib.pyplot as plt
import numpy as np
import pytest
from Basilisk import __path__

filename = inspect.getframeinfo(inspect.currentframe()).filename
path = os.path.dirname(os.path.abspath(filename))

bskPath = __path__[0]

from Basilisk.utilities import SimulationBaseClass
from Basilisk.architecture import messaging
from Basilisk.utilities import macros
from Basilisk.simulation import dentonFluxModel

Kps = ['0o', '4-', '5+']
LTs = [0.00, 14.73]
z_offsets = [0., 3500e3]
r_EN_Ns = np.array([[0., 0., 0.], [400e3, 300e3, -200e3]])

[docs] @pytest.mark.parametrize("accuracy", [1e2]) @pytest.mark.parametrize("param1_Kp, param2_LT, param3_z, param4_r_EN", [ (Kps[0], LTs[0], z_offsets[0], r_EN_Ns[0]), (Kps[1], LTs[1], z_offsets[1], r_EN_Ns[0]), (Kps[1], LTs[1], z_offsets[0], r_EN_Ns[1]), (Kps[1], LTs[1], z_offsets[1], r_EN_Ns[1]), (Kps[1], LTs[0], z_offsets[1], r_EN_Ns[1]), (Kps[2], LTs[1], z_offsets[1], r_EN_Ns[1]), (Kps[2], LTs[0], z_offsets[1], r_EN_Ns[1]), ]) def test_dentonFluxModel(show_plots, param1_Kp, param2_LT, param3_z, param4_r_EN, accuracy): r""" **Validation Test Description** The Denton Flux Module is tested for several different Kp indices, local times, and spacecraft/Sun/Earth positions **Test Parameters** Args: show_plots (bool): specify if plots should be shown param1_Kp (str): Kp Index param2_LT (float): Local Time (use 2 decimals) param3_z (float): z-offset to test spacecraft and Sun position with offset to equatorial plane param4_r_EN (float np.array): r_EN_N position vector of Earth w.r.t. N frame, in N frame components accuracy (float): absolute accuracy value used in the validation tests **Description of Variables Being Tested** The electron and ion energies are compared to make sure the flux data is computed for the same energy. The main part of the unitTest is to compare the electron and ion flux. """ dentonFluxModelTestFunction(show_plots, param1_Kp, param2_LT, param3_z, param4_r_EN, accuracy)
[docs] def dentonFluxModelTestFunction(show_plots, param1_Kp, param2_LT, param3_z, param4_r_EN, accuracy): """Test method""" unitTaskName = "unitTask" unitProcessName = "TestProcess" # Create sim module and test thread unitTestSim = SimulationBaseClass.SimBaseClass() testProcessRate = macros.sec2nano(0.5) testProc = unitTestSim.CreateNewProcess(unitProcessName) testProc.addTask(unitTestSim.CreateNewTask(unitTaskName, testProcessRate)) # setup module to be tested module = dentonFluxModel.DentonFluxModel() module.ModelTag = "dentonFluxModule" module.kpIndex = param1_Kp module.numOutputEnergies = 6 module.dataPath = bskPath + '/supportData/DentonGEO/' unitTestSim.AddModelToTask(unitTaskName, module) # Set up position vectors (param3_z is used to offset S/C and sun from equatorial plane) LT = param2_LT angle = LT * 360./24. * np.pi/180 - np.pi orbitRadius = 42000 * 1e3 # GEO orbit r_BE_N = np.array([orbitRadius * math.cos(angle), orbitRadius * math.sin(angle), param3_z]) r_SE_N = np.array([149000000000.0, 0., -2.73*param3_z]) r_EN_N = param4_r_EN r_BN_N = r_BE_N + r_EN_N r_SN_N = r_SE_N + r_EN_N # Configure input messages scStateInMsgData = messaging.SCStatesMsgPayload() scStateInMsgData.r_BN_N = r_BN_N scStateInMsg = messaging.SCStatesMsg().write(scStateInMsgData) sunStateInMsgData = messaging.SpicePlanetStateMsgPayload() sunStateInMsgData.PositionVector = r_SN_N sunStateInMsg = messaging.SpicePlanetStateMsg().write(sunStateInMsgData) earthStateInMsgData = messaging.SpicePlanetStateMsgPayload() earthStateInMsgData.PositionVector = r_EN_N earthStateInMsg = messaging.SpicePlanetStateMsg().write(earthStateInMsgData) # subscribe input messages to module module.scStateInMsg.subscribeTo(scStateInMsg) module.earthStateInMsg.subscribeTo(earthStateInMsg) module.sunStateInMsg.subscribeTo(sunStateInMsg) # setup output message recorder objects fluxOutMsgRec = module.fluxOutMsg.recorder() unitTestSim.AddModelToTask(unitTaskName, fluxOutMsgRec) # run simulation unitTestSim.InitializeSimulation() unitTestSim.TotalSim.SingleStepProcesses() # pull module data energyData = fluxOutMsgRec.energies[0] electronFluxData = fluxOutMsgRec.meanElectronFlux[0] ionFluxData = fluxOutMsgRec.meanIonFlux[0] # convert Kp index to Kp index counter (between 0 and 27) kpMain = param1_Kp[0] # main Kp index, between 0 and 9 kpSub = param1_Kp[1] # sub Kp index, either '-', 'o', or '+' if kpSub == '-': kpIndexCounter = 3*int(kpMain) - 1 elif kpSub == 'o': kpIndexCounter = 3*int(kpMain) elif kpSub == '+': kpIndexCounter = 3*int(kpMain) + 1 # load true data from corresponding support file (note that Python indexing starts at 0 and Fortran indexing # starts at 1, relevant for Kp index counter) filename = 'FluxData_' + str(kpIndexCounter+1) + '_' + str("%.2f" % param2_LT) + '.txt' filepath = path + '/Support/' + filename trueEnergyData = np.array([0.0] * messaging.MAX_PLASMA_FLUX_SIZE) trueElectronFluxData = np.array([0.0] * messaging.MAX_PLASMA_FLUX_SIZE) trueIonFluxData = np.array([0.0] * messaging.MAX_PLASMA_FLUX_SIZE) with open(filepath, 'r') as file: rows = np.loadtxt(file, delimiter=",", unpack=False) # true flux data provided by Denton is in Units of [cm^-2 s^-1 sr^-2 eV^-1], but DentonFluxModel converts it to # [m^-2 s^-1 sr^-2 eV^-1]. Need to multiply by 1e4 trueEnergyData[0:module.numOutputEnergies] = rows[0] trueElectronFluxData[0:module.numOutputEnergies] = 10.**(rows[1]) * 1e4 trueIonFluxData[0:module.numOutputEnergies] = 10.**(rows[2]) * 1e4 # make sure module output data is correct paramsString = ' for Kp-Index={}, LT={}, accuracy={}'.format( str(param1_Kp), str(param2_LT), str(accuracy)) np.testing.assert_allclose(energyData, trueEnergyData, rtol=0, atol=accuracy, err_msg=('Variable: energyData,' + paramsString), verbose=True) np.testing.assert_allclose(electronFluxData, trueElectronFluxData, rtol=0, atol=accuracy, err_msg=('Variable: electronFluxData,' + paramsString), verbose=True) np.testing.assert_allclose(ionFluxData, trueIonFluxData, rtol=0, atol=accuracy, err_msg=('Variable: ionFluxData,' + paramsString), verbose=True) plt.figure(1) fig = plt.gcf() ax = fig.gca() plt.semilogy(energyData[0:module.numOutputEnergies], electronFluxData[0:module.numOutputEnergies]) plt.xlabel('Energy [eV]') plt.ylabel('Electron Flux [e$^{-}$ cm$^{-2}$ s$^{-1}$ str$^{-1}$ eV$^{-1}$]') if show_plots: plt.show()
if __name__ == "__main__": test_dentonFluxModel(False, '4-', LTs[1], z_offsets[1], r_EN_Ns[1], 1e2)