Beispiel #1
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    def __init__(self, seed):
        self.seed = seed
        random.seed(seed)  # Setter et seed for numpy.random klassen

        self.Var = DFK(["pi", "G", "u", "k", "M_sol", "R_sol"
                        ])  # Definering av forskjellige fysiske konstanter
        Mission = SpaceMission(
            self.seed)  # Gjør det mulig å hente konstanter fra ast2000 klassen
        self.M_p = Mission.system.masses[
            0] * self.Var.M_sol  # [kg] Massen til hjemplaneten
        self.R_p = Mission.system.radii[
            0] * 10**3  # [m] Radien til hjemplaneten

        self.L = 10**-6  # [m] Lengde og bredde på boksen
        self.T = 10**4  # [K] Temperatur i boksen
        self.m_H = 2 * 1.00794 * self.Var.u  # [kg] Masse til et hydrogenmolekyl
        self.n = 10**5  # Antall partikler i boksen
        self.Dt = 10**-9  # [s] Total tid for simulasjonen
        self.N = 10**3  # Antall steg i simulasjonen
        self.dt = self.Dt / self.N  # [s] Endring i tid for et steg
        self.n_fri = 0  # Antall molekyler som unnslipper boksen
        self.p = 0  # Totale mengden bevegelsesmengde som boksen får

        self.M = 1000  # [kg] Vekta til raketten
'''
We are going on a trip in our favorite rocket ship
'''
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import scipy.interpolate as interpolate
import ast2000tools.constants as const
import ast2000tools.utils as utils
from ast2000tools.space_mission import SpaceMission
from ast2000tools.solar_system import SolarSystem
from ast2000tools.shortcuts import SpaceMissionShortcuts
from programkode_del4_klasse import did_you_just_assume_my_orientation, launching_sequence

seed = utils.get_seed('alinerb')
mission = SpaceMission(seed)
launch = launching_sequence(mission)
orient = did_you_just_assume_my_orientation(mission)
Ms = mission.system.star_mass
M_planet = mission.system.masses
G = const.G_sol

planet_positions = np.load('planet_positions.npy')
planet_velocities = np.load('planet_velocities.npy')
timesteps = np.load('times.npy')
plan_v_rocket = np.load('optimal_rakett_hastighet.npy')
plan_r_rocket = np.load('optimal_rakett_posisjon.npy')
plan_t_rocket = np.load('optimal_rakett_tid.npy')

pos_planet = interpolate.interp1d(timesteps,
                                  planet_positions,
Beispiel #3
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'''
This program calculates how hot and dense we... I mean the atmosphere is.
'''
import numpy as np
import matplotlib.pyplot as plt
import ast2000tools.constants as const
import scipy.interpolate as interpolate
import ast2000tools.utils as utils
from ast2000tools.space_mission import SpaceMission
from ast2000tools.solar_system import SolarSystem
from ast2000tools.shortcuts import SpaceMissionShortcuts
from numba import njit
import time

seed = utils.get_seed('alinerb')
mission = SpaceMission(seed)

k = const.k_B
c = 299792458
m_H = const.m_H2 / 2


def read_the_files():
    spectrum_file = open('spectrum_seed64_600nm_3000nm.txt', 'r')
    sigma_noise_file = open('sigma_noise.txt', 'r')

    all_wavelenghts = []
    F_obs = []
    for line in spectrum_file:
        s = line.split()
        all_wavelenghts.append(float(s[0]))
from PIL import Image
import numpy as np
from ast2000tools.space_mission import SpaceMission
from sympy import geometry

myseed = 82947
mission = SpaceMission(myseed)
img = Image.open("sample0000.png")
pixels = np.array(img)
sky = np.load("himmelkule.npy")
fov = [70, 70]
xmm = [
    -2 * np.sin(fov[1] / 2) / (1 + np.cos(fov[1] / 2)),
    2 * np.sin(fov[1] / 2) / (1 + np.cos(fov[1] / 2)),
]
ymm = [
    -2 * np.sin(fov[1] / 2) / (1 + np.cos(fov[0] / 2)),
    2 * np.sin(fov[1] / 2) / (1 + np.cos(fov[0] / 2)),
]
x = np.linspace(xmm[0], xmm[1], len(pixels[0, :]))
y = np.linspace(xmm[0], xmm[1], len(pixels[:, 0]))
X, Y = np.meshgrid(x, y)
XY = np.zeros((480, 640, 2))
XY[:, :, 0] = X
XY[:, :, 1] = Y
proj = np.zeros((360, 480, 640, 3), dtype=np.uint8)
for j in range(359):
    phi0 = j * np.pi / 180
    rho = np.sqrt(X**2 + Y**2)
    c = 2 * np.arctan(rho / 2)
    theta = np.pi / 2 - np.arcsin(
Beispiel #5
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# egen kode
from ast2000tools.space_mission import SpaceMission
from ast2000tools.constants import G_sol
import numpy as np

G = 6.67428e-11
myseed = 82947
mission = SpaceMission(myseed)


def trajectory(inital_time, inital_pos, inital_vel, T, steps=10000):
    """The trajectory of an object through the system

    Parameters
    -----------
    t : float
        Initial time for the start of the simulation
    x : array_like
        Initial position for the object at the initial time
    v : array_like
        Initial velocity of the object
    T : Float
        Total simulation time
    steps : int
        Total amount of steps in simulation

    Returns
    -------
    array_like
        Final time, final position and final velocity
    """
Beispiel #6
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'''
Calculating our planet trajectories analytical and numerical
and actually getting a satisfying awnser!!
'''
import numpy as np
import matplotlib.pyplot as plt
import time
import ast2000tools.constants as const
import ast2000tools.utils as utils
from ast2000tools.space_mission import SpaceMission
from ast2000tools.solar_system import SolarSystem
from numba import njit
seed = utils.get_seed('alinerb')
system = SolarSystem(seed)
mission = SpaceMission(seed)



def simulate_orbits(system, rot, n_time_steps_per_year):
    G = 4*np.pi**2                      # in Astronomical uits (AU)
    a = system.semi_major_axes
    e = system.eccentricities
    f = np.linspace(0, 2*np.pi, n_time_steps_per_year)
    for i in range(system.number_of_planets):
        r_ = (a[i]*(1-e[i]**2)) / (1 + e[i]*np.cos(np.pi - system.aphelion_angles[i] + f))
        x = r_*np.cos(f)
        y = r_*np.sin(f)
        plt.plot(x, y)
    plt.plot(0, 0, 'yo', label = 'Stjerna')
    plt.legend()
Beispiel #7
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Alternatively it does nothing...
'''

import numpy as np
from scipy import integrate
from sympy import Derivative
from numba import njit
import ast2000tools.constants as const
import ast2000tools.utils as utils
import time
from ast2000tools.shortcuts import SpaceMissionShortcuts
from ast2000tools.space_mission import SpaceMission
from ast2000tools.solar_system import SolarSystem

seed = utils.get_seed('alinerb')
mission = SpaceMission(seed)
system = SolarSystem(seed)
shortcuts = SpaceMissionShortcuts(mission, [74952])

k = 1.38 * 10**(-23)  # Boltzmann-konstanten
# m = 2*1.66*10**(-27)                                      # Mass of hydrogen molecule (kg)
m = const.m_H2
M = 1100


def combustionchamber(L, T, N, iterations):
    part_pos = np.zeros((iterations, N, 3))
    part_vel = np.zeros((iterations, N, 3))
    init_pos = np.random.uniform(
        -L / 2, L / 2, size=(N, 3))  # initial positions randomly generated
    init_vel = np.random.normal(0, np.sqrt(
Beispiel #8
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'''
This code creates a box, and then adds many boxes to create a rocket engine!
Alternatively it does nothing...
'''

import numpy as np
from scipy import integrate
from sympy import Derivative
from numba import njit
import ast2000tools.constants as const
import ast2000tools.utils as utils
import time
from ast2000tools.shortcuts import SpaceMissionShortcuts
from ast2000tools.space_mission import SpaceMission
seed = utils.get_seed('alinerb')
mission = SpaceMission(seed)
shortcuts = SpaceMissionShortcuts(mission, [74952])


k = 1.38 * 10**(-23)                                      # Boltzmann-konstanten
# m = 2*1.66*10**(-27)                                      # Mass of hydrogen molecule (kg)
m = const.m_H2
M = 1100


def combustionchamber(L, T, N, iterations):
    part_pos = np.zeros((iterations, N, 3))
    part_vel = np.zeros((iterations, N, 3))
    init_pos = np.random.uniform(-L/2, L/2, size=(N, 3))          # initial positions randomly generated
    init_vel = np.random.normal(0, np.sqrt(k*T/m), size=(N, 3))   # initial velocities randomly generated