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spectra_plot.py
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spectra_plot.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 5 11:22:21 2020
@author: mwl
"""
import csv
import matplotlib; matplotlib.use('agg')
import matplotlib.pyplot as plt
import smart
import imageio
import numpy as np
def chooser(pair):
path = '/gscratch/vsm/mwjl/projects/binary/multiflare/data/'
pri_delim = (5,14,9,8)
if pair == 'GG':
pri_star = path + 'g2v_photo.pdat'
sec_star = path + 'g2v_photo.pdat'
pri_star_uv = path + 'faruv_g2v.pdat'
sec_star_uv = path + 'faruv_g2v.pdat'
sec_delim = (5,14,9,8)
if pair == 'GK':
pri_star = path + 'g2v_photo.pdat'
sec_star = path + 'k2v_photo.pdat'
pri_star_uv = path + 'faruv_g2v.pdat'
sec_star_uv = path + 'faruv_k2v.pdat'
sec_delim = (8,10,8,6)
if pair == 'GM':
pri_star = path + 'g2v_photo.pdat'
sec_star = path + 'adleo_photo.pdat'
pri_star_uv = path + 'faruv_g2v.pdat'
sec_star_uv = path + 'faruv_adleo.pdat'
sec_delim = (8,10,8,6)
if pair == 'MK':
pri_star = path + 'adleo_photo.pdat'
sec_star = path + 'k2v_photo.pdat'
pri_star_uv = path + 'faruv_adleo.pdat'
sec_star_uv = path + 'faruv_k2v.pdat'
sec_delim = (8,10,8,6)
pri_delim = (8,10,8,6)
weights = []
weights_path = path + str(pair) + 'Tweights.csv'
with open(weights_path) as weightsfile:
readWeights = csv.reader(weightsfile, delimiter=',')
for row in readWeights:
weights.append(list(row[:-1]))
weights = weights[1:]
weights = np.asarray(weights, dtype = 'float64')
# print(np.shape(weights))
pri_spec = np.genfromtxt(pri_star, skip_header = 1, delimiter = pri_delim)
pri_spec_uv = np.genfromtxt(pri_star_uv, skip_header = 2, max_rows = 10, delimiter = (6,10))
pri_wl = pri_spec[:,2]
pri_spec = pri_spec[:,1]
pri_wl_uv = pri_spec_uv[:,0]
pri_spec_uv = pri_spec_uv[:,1]
sec_spec = np.genfromtxt(sec_star, skip_header = 1, delimiter = sec_delim)
sec_spec_uv = np.genfromtxt(sec_star_uv, skip_header = 2, max_rows = 10, delimiter = (6,10))
sec_wl = sec_spec[:,2]
sec_spec = sec_spec[:,1]
sec_wl_uv = sec_spec_uv[:,0]
sec_spec_uv = sec_spec_uv[:,1]
print(sec_spec_uv)
pri_weights = weights[:,1]
sec_weights = weights[:,2]
pri_weights = np.transpose(pri_weights)
sec_weights = np.transpose(sec_weights)
pri_spec = np.outer(pri_weights, pri_spec)
sec_spec = np.outer(sec_weights, sec_spec)
pri_spec_uv = np.outer(pri_weights, pri_spec_uv)
sec_spec_uv = np.outer(sec_weights, sec_spec_uv)
pri_wl = 10000 / pri_wl
sec_wl = 10000/ sec_wl
pri_wl_uv = pri_wl_uv /10000
sec_wl_uv = sec_wl_uv/10000
print(sec_spec_uv)
return(pri_wl, pri_spec, pri_wl_uv, pri_spec_uv, sec_wl, sec_spec, sec_wl_uv, sec_spec_uv, pair)
def spectra_plot(pair):
g_max = 5*10**11
m_max = 2*10**12
pri_wl, pri_spec, pri_wl_uv, pri_spec_uv, sec_wl, sec_spec, sec_wl_uv, sec_spec_uv,pair = chooser(pair)
i = 0
while i < 1000:
temp = []
temp_uv = []
row = pri_spec[i]
for num in row:
f_num = float(num)
temp.append(f_num)
row_uv = pri_spec_uv[i]
for num in row_uv:
f_num_uv = float(num)
temp_uv.append(f_num_uv)
fig,ax = plt.subplots(2,2, figsize = (20,20))
if pair == 'MK':
ymax = m_max
uv_max = 10 ** 8
else:
ymax = g_max
uv_max = 10 **6
temp_sec = []
temp_sec_uv = []
row_sec = sec_spec[i]
for num in row_sec:
f_num = float(num)
temp_sec.append(f_num)
row_sec_uv = sec_spec_uv[i]
for num in row_sec_uv:
f_num_uv = float(num)
temp_sec_uv.append(f_num_uv)
ax[1,1].plot(sec_wl[:len(temp)], temp_sec[:len(sec_wl)])
ax[1,0].plot(sec_wl_uv, temp_sec_uv)
ax[1,1].set_xlim(1,5)
ax[1,0].set_xlim(0.1, 0.2)
ax[1,1].set_ylim(0, ymax)
ax[1,0].set_ylim(0,uv_max)
ax[0,1].plot(pri_wl[:len(temp)], temp[:len(pri_wl)])
ax[0,0].plot(pri_wl_uv, temp_uv)
ax[0,1].set_xlim(1,5)
ax[0,0].set_xlim(0.1, 0.2)
ax[0,1].set_ylim(0, ymax)
ax[0,0].set_ylim(0,uv_max)
fig.savefig('/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_row'+str(i) + str(pair)+'.png')
i = i + 10
nums = range(0,1000,10)
inputs2 = []
gif_path2 = '/gscratch/vsm/mwjl/projects/binary/plots/spectra_'+str(pair)+'.gif'
for i in nums:
name = "/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_row"+str(i)+str(pair)+".png"
inputs2.append(name)
plt.figure(figsize=(4,4))
with imageio.get_writer(gif_path2, mode='I') as writer:
for k in range(len(inputs2)):
writer.append_data(imageio.imread(inputs2[k].format(i=k)))
def spectra_plot_diff(pair):
pri_wl, pri_spec, pri_wl_uv, pri_spec_uv, sec_wl, sec_spec, sec_wl_uv, sec_spec_uv, pair = chooser(pair)
print('sec spec uv', sec_spec_uv)
fig,ax = plt.subplots(1,1, figsize = (10,10))
i = 0
start = pri_spec[0]
start_uv = pri_spec_uv[0]
while i < 1000:
row = pri_spec[i]
row_uv = pri_spec_uv[i]
temp = []
temp_uv = []
out = []
out_uv = []
for num in row:
f_num = float(num)
temp.append(f_num)
temp_uv = []
for num_uv in row_uv:
f_num_uv = float(num_uv)
temp_uv.append(f_num_uv)
fig,ax = plt.subplots(1,1, figsize = (10,10))
zip_object = zip(start, temp)
for a,b in zip_object:
# print((a-b))
out.append(a/b)
zip_object_uv = zip(start_uv, temp_uv)
for a,b in zip_object_uv:
# print((a/b))
out_uv.append(a/b)
ax.plot(pri_wl, out)
ax.plot(pri_wl_uv, out_uv)
ax.set_xlim(0.1,5)
ax.set_ylim(0.8,1.2)
fig.savefig('/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_rowP_diff'+str(i) + str(pair)+'.png')
i = i + 10
data = []
i = 0
start_sec = sec_spec[0]
start_sec_uv = sec_spec_uv[0]
fig,ax = plt.subplots(1,1, figsize = (10,10))
while i < 1000:
row = sec_spec[i]
row_uv = sec_spec_uv[i]
temp = []
temp_uv = []
out = []
out_uv = []
for num in row:
f_num = float(num)
temp.append(f_num)
for num in row_uv:
f_num = float(num)
temp_uv.append(f_num)
fig,ax = plt.subplots(1,1, figsize = (10,10))
zip_object = zip(start_sec, temp)
for a,b in zip_object:
# print((a-b))
out.append(a/b)
# print('************* temp uv *********', np.shape(temp_uv))
zip_object_uv = zip(start_sec_uv, temp_uv)
for a,b in zip_object_uv:
# print('ab', a,b)
out_uv.append(a/b)
fig,ax = plt.subplots(1,1, figsize = (10,10))
ax.plot(sec_wl, out)
ax.plot(sec_wl_uv, out_uv)
ax.set_xlim(0.1,5)
ax.set_ylim(0.8,1.2)
fig.savefig('/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_rowS_diff'+str(i) +str(pair)+ '.png')
i = i + 10
nums = range(0,1000,10)
inputs2 = []
gif_path2 = '/gscratch/vsm/mwjl/projects/binary/plots/sec_star_diff'+str(pair)+'.gif'
for i in nums:
name = "/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_rowS_diff"+str(i)+str(pair)+".png"
inputs2.append(name)
plt.figure(figsize=(4,4))
with imageio.get_writer(gif_path2, mode='I') as writer:
for i in range(len(inputs2)):
writer.append_data(imageio.imread(inputs2[i].format(i=i)))
inputs1 = []
gif_path1 = '/gscratch/vsm/mwjl/projects/binary/plots/pri_star_diff'+str(pair)+'.gif'
for i in nums:
name = "/gscratch/vsm/mwjl/projects/binary/scripts/scratch/wn_rowP_diff"+str(i)+str(pair)+".png"
inputs1.append(name)
plt.figure(figsize=(4,4))
with imageio.get_writer(gif_path1, mode='I') as writer:
for i in range(len(inputs1)):
writer.append_data(imageio.imread(inputs1[i].format(i=i)))
def light_curve(pair):
pri_wl, pri_spec, pri_wl_uv, pri_spec_uv, sec_wl, sec_spec, sec_wl_uv, sec_spec_uv,pair = chooser(pair)
total_flux = pri_spec + sec_spec
total_flux_uv = pri_spec_uv + sec_spec_uv
i = 5
flux_out = total_flux[:,i]
flux_out_uv = total_flux_uv[:,i]
fig,ax = plt.subplots(2,1, fig_size = (10,10))
ax[0].plot(range(len(flux_out)),flux_out)
ax[1].plot(range(len(flux_out_uv)), flux_out_uv)
fig.savefig('/gscratch/vsm/mwjl/projects/binary/lightcurve_'+ str(pair)+'.png')
if __name__ == '__main__':
import platform
if platform.node().startswith("mox"):
# On the mox login node: submit job
runfile = __file__
smart.utils.write_slurm_script_python(runfile,
name="specplt",
subname="submit.csh",
workdir = "",
nodes = 1,
mem = "500G",
walltime = "72:00:00",
ntasks = 28,
account = "vsm",
submit = True,
rm_after_submit = True)
elif platform.node().startswith("n"):
# On a mox compute node: ready to run
spectra_plot('GM')
spectra_plot('GK')
spectra_plot('GG')
spectra_plot('MK')
# spectra_plot_diff('GM')
# chooser('GM')