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9_study_deterministic_system.py
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Sun, Feb 23, 14:30

9_study_deterministic_system.py
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# -*- coding: utf-8 -*-
""" This script is used to study the system with deterministic simulations (e.g
Arnold tongues, attractor location, etc.). """
""""""""""""""""""""" MODULE IMPORT """""""""""""""""""""
### Import external modules
import os
import sys
import matplotlib
matplotlib.use('Agg') #to run the script on a distant server
import matplotlib.pyplot as plt
import pickle
import numpy as np
import os
sys.path.insert(0, os.path.realpath('..'))
sys.path.insert(0, os.path.realpath('../Classes'))
sys.path.insert(0, os.path.realpath('../Functions'))
### Import internal modules
from Classes.DetSim import DetSim
from Classes.LoadData import LoadData
#access main directory
os.chdir('..')
""""""""""""""""""""" LOAD SHELL ARGUMENTS """""""""""""""""
try:
cell = sys.argv[1]
if sys.argv[2]=="None":
temperature = None
else:
temperature = int(sys.argv[2])
except:
print("No shell input given, default arguments used")
cell = 'NIH3T3'
temperature = None
with open('Parameters/Real/opt_parameters_div_'+str(temperature)\
+"_"+cell+'.p', 'rb') as f:
l_parameters = [dt, sigma_em_circadian, W, pi,
N_theta, std_theta, period_theta, l_boundaries_theta, w_theta,
N_phi, std_phi, period_phi, l_boundaries_phi, w_phi,
N_amplitude_theta, mu_amplitude_theta, std_amplitude_theta,
gamma_amplitude_theta, l_boundaries_amplitude_theta,
N_background_theta, mu_background_theta, std_background_theta,
gamma_background_theta, l_boundaries_background_theta,
F] = pickle.load(f)
""""""""""""""""""""" CREATE SIMULATION CLASS """""""""""""""""
detSim = DetSim(l_parameters, cell, temperature, upfolder = False)
""""""""""""""""""""" PLAY WITH SIMULATIONS """""""""""""""""
for T_phi in range(10,49,1):
print('Tphi=', T_phi)
detSim.plot_vectorfield_bis(T_phi, save = True)
#plot speed vectorifield
detSim.plot_vectorfield_bis(T_phi = 12, save = True)
#plot temporal trajectory
detSim.plot_signal(tf = 96, full_simulation = True)
#plot phase space trajectory
for K in np.linspace(0,2,6):
print(K)
detSim.plot_trajectory(ti = 400, tf = 1600,
rand = True, save = False, K= K )
for T_phi in range(14,35):
print(T_phi)
detSim.plot_trajectory(ti = 400, tf = 1600, rand = True,
save = True, T_phi = T_phi )
#plot devil staircase
detSim.plot_devil_staircase(l_arg = [np.linspace(2*np.pi/(2.5*24),
2*np.pi/(24/3), 100) , 1, 500, False])
#
# #plot Arnold Tongues
# detSim.plot_arnold_tongues( 5, 80, tf = 200, random_init = True)
#
# #plot circadian period histogram
# detSim.plot_hist_period(100)

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