def plot_cpd(self):
vmag = np.array([d['vmag'] for d in self.data])
bmag = np.array([d['bmag'] for d in self.data])
period = np.array([d['period'] for d in self.data])
good = np.array([d['good'] for d in self.data])
member = np.array([d['member'] for d in self.data])
vmag = 1.0001722499859311*vmag + 0.5402413960734754
bmag = 1.0108861546902421*bmag + 0.9271685986891227
bv = bmag-vmag
i = np.where(period>0.0)
plt.scatter(bv[i]-0.56, period[i], facecolor='none', edgecolor='k',label='WiFSIP')
j = np.where((period>0.0) & (good==True))
plt.scatter(bv[j]-0.56, period[j], facecolor='r', edgecolor='none',label='rotators')
k = np.where(member==True)
plt.scatter(bv[k]-0.56, period[k], marker='s', s=50, facecolor='none', edgecolor='g',label='members')
plt.ylim(0.0,15.0)
plt.xlim(-0.5, 2.0)
plt.xlabel('(B - V)$_0$')
plt.ylabel('P [days]')
import gyroage
bvgyro = np.linspace(0.4, 1.5, num=50)
#bv = np.linspace(0.473, 1.631, num=100)
P500 = gyroage.gyroperiod(bvgyro, 500)
plt.plot(bvgyro, P500, color='r')
P800 = gyroage.gyroperiod(bvgyro, 800)
plt.plot(bvgyro, P800, 'b--')
plt.savefig(config.plotpath+'NGC2236cpd.eps')
plt.show()
def make_cpd(self):
import pylab as plt
import numpy as np
from datasource import DataSource
wifsip = DataSource(database='wifsip', user='******', host='pina.aip.de')
query = """SELECT bv, period, theta
FROM ngc1647stars
WHERE vmag>4.762*bv + 10.4762 and theta>0.5;"""
data = wifsip.query(query)
bv = np.array([d[0] for d in data])
period = np.array([d[1] for d in data])
theta = np.array([d[2] for d in data])
query = """SELECT bv, period, theta
FROM ngc1647stars
WHERE vmag<4.762*bv + 10.4762
AND theta>0.5;"""
data = wifsip.query(query)
wifsip.close()
bv_ms = np.array([d[0] for d in data])
period_ms = np.array([d[1] for d in data])
theta_ms = np.array([d[2] for d in data])
import gyroage
bv170 = np.linspace(0.5, 1.6, num=20)
P = gyroage.gyroperiod(bv170, 170.0)
P01 = gyroage.gyroperiod(bv170, 170.0, P0=0.1)
P33 = gyroage.gyroperiod(bv170, 170.0, P0=3.3)
plt.plot(bv170, P, color='r')
plt.plot(bv170, P01, color='r', linestyle='dashed')
plt.plot(bv170, P33, color='r', linestyle='dashed')
plt.scatter(bv - self.ebv,
period,
s=(1.0 - theta) * 40.,
edgecolor='none',
alpha=0.5)
plt.scatter(bv_ms - self.ebv,
period_ms,
s=(1.0 - theta_ms) * 40.,
edgecolor='none',
alpha=0.75,
facecolor='green')
plt.xlabel('(B - V)$_0$')
plt.ylabel('period [days]')
plt.ylim(0.0, 10.0)
plt.xlim(0.0, 2.2)
plt.grid()
plt.savefig('/work1/jwe/Dropbox/NGC1647/plots/ngc1647cpd.pdf')
plt.show()
plt.close()
def plot_cpd(self):
'''
create plot for Heraeus Talk
'''
from datasource import DataSource
wifsip = DataSource(database='wifsip', user='******', host='oldpina.aip.de')
query = """SELECT bv, period
FROM m48stars
WHERE good;"""
data = wifsip.query(query)
bv = np.array([d[0] for d in data])
period = np.array([d[1] for d in data])
import gyroage
from functions import logspace
bv360 = logspace(0.5, 2.0, num=100)
#P = gyroage.gyroperiod(bv360, 360.0, version=2007)
P, pc = gyroage.gyroperiod(bv360, 360.0, version=2003)
plt.plot(bv360, pc, color='b', linestyle='--')
plt.plot(bv360, P, color='r')
plt.scatter(bv-self.ebv, period, s=1,
edgecolor='none', c='k')
plt.xlabel('(B - V)$_0$')
plt.ylabel('period [days]')
plt.ylim(0.0, 20.0)
plt.xlim(0.0, 2.0)
plt.grid()
plt.savefig('/home/jwe/Documents/Talks/Heraeus2015/m48cpd.eps')
plt.savefig('/home/jwe/Documents/Talks/Heraeus2015/m48cpd.pdf')
plt.close()
def plot():
from gyroage import gyroperiod
data = np.loadtxt(config.datapath + 'periods.txt')
bv = data[:, 1]
p = data[:, 5]
bv400 = np.linspace(0.515, 1.6, num=100)
P11 = gyroperiod(bv400, clusterage)
P34 = gyroperiod(bv400, clusterage, P0=3.4)
P01 = gyroperiod(bv400, clusterage, P0=0.1)
plt.scatter(bv - 0.03,
p,
edgecolor='none',
c='k',
label='STELLA rotation periods')
plt.axvline(0.653, color='y', linewidth=3.0)
plt.plot(bv400, P34, 'b--', label='P$_0$=3.4 d')
plt.plot(bv400, P01, 'g--', label='P$_0$=0.1 d')
plt.plot(bv400, P11, 'r', linewidth=3.0, label='P$_0$=1.1 d')
plt.legend()
plt.show()
def make_cpd(self):
import pylab as plt
import numpy as np
from datasource import DataSource
wifsip = DataSource(database='wifsip', user='******', host='pina.aip.de')
query = """SELECT bv, period, theta
FROM ngc2281stars
WHERE bv >-1.0 AND period>0
and vmag < 5.8333*(bv-0.09)+10.5;"""
data = wifsip.query(query)
bv = np.array([d[0] for d in data])
period = np.array([d[1] for d in data])
theta = np.array([d[2] for d in data])
wifsip.close()
import gyroage
bv358 = np.linspace(0.5, 1.6, num=40)
#P = gyroage.gyroperiod(bv358, 358.1)
#P01 = gyroage.gyroperiod(bv358, 358.1, P0=0.1)
#P33 = gyroage.gyroperiod(bv358, 358.1, P0=3.3)
PI, PC = gyroage.gyroperiod(bv358, 358.1)
plt.plot(bv358, PI, color='r')
plt.plot(bv358, PC, color='r', linestyle='dashed')
plt.scatter(bv - self.ebv,
period,
s=40. * (1.0 - theta)**2,
edgecolor='none',
alpha=0.75)
plt.title('NGC 2281')
plt.xlabel('(B - V)$_0$')
plt.ylabel('period [days]')
plt.ylim(0.0, 20.0)
plt.xlim(0.0, 2.2)
plt.grid()
plt.savefig('/work1/jwe/Dropbox/NGC2281/plots/ngc2281cpd.pdf')
#plt.show()
plt.close()
def plot_cpd(self, show=False, gyrochrone=False):
from dbtable import DBTable
members = DBTable(self.wifsip, 'ngc6633', condition='member')
good = DBTable(self.wifsip, 'ngc6633', condition='good and period>0')
nonmembers = DBTable(self.wifsip, 'ngc6633', condition='NOT member')
import gyroage
from functions import logspace
bvgyro = logspace(0.5, 1.5, num=100)
age = 550
P = gyroage.gyroperiod(bvgyro, age, version=2010)
plt.style.use('aanda.mplstyle')
if gyrochrone:
plt.plot(bvgyro, P, color='b', label='%d Myr'% age)
plt.scatter(good['bv']-self.ebv, good['period'], marker='o',edgecolor='r', facecolor='r', s=20, label='rotators')
plt.scatter(members['bv']-self.ebv, members['period'], marker='o',edgecolor='k', facecolor='r', s=20, label='members')
plt.scatter(nonmembers['bv']-self.ebv, nonmembers['period'], marker='x',edgecolor='k', facecolor='k', s=20, label='nonmembers')
plt.xlabel('(B - V)$_0$')
plt.ylabel('period [days]')
plt.ylim(0.0, 15.0)
plt.xlim(0.4, 1.6)
plt.legend()
plt.title('NGC 6633 Color Period Diagram')
#plt.grid()
if show:
plt.show()
else:
if gyrochrone:
plt.savefig(config.plotpath+'ngc6633cpd_gyro.pdf')
else:
plt.savefig(config.plotpath+'ngc6633cpd.pdf')
plt.close()
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Created on Oct 19, 2015
@author: Joerg Weingrill <*****@*****.**>
'''
if __name__ == '__main__':
from gyroage import gyroperiod
from numpy import linspace
#bv = linspace(0.0, 1.6, num=50)
bv = linspace(0.35, 1.6, num=100)
age = 600
P11 = gyroperiod(bv, age)
P34 = gyroperiod(bv, age, P0=3.4)
P01 = gyroperiod(bv, age, P0=0.1)
for k in zip(bv, P01, P11, P34):
print '%.3f\t%.3f\t%.3f\t%.3f' % k
def plot_cmpd(self, show=False, gyrochrone=False):
"""
make a 3d plot of the cmd and the cpd
"""
from dbtable import DBTable
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
members = DBTable(self.wifsip, 'ngc6633', condition='member and period>0')
good = DBTable(self.wifsip, 'ngc6633', condition='good and period>0')
nonmembers = DBTable(self.wifsip, 'ngc6633', condition='NOT member and period>0')
import gyroage
from functions import logspace
bvgyro = logspace(0.5, 1.5, num=100)
age = 550
P = gyroage.gyroperiod(bvgyro, age, version=2010)
#plt.style.use('aanda.mplstyle')
# if gyrochrone:
# plt.plot(bvgyro, P, color='b', label='%d Myr'% age)
# plt.scatter(good['bv']-self.ebv, good['period'], marker='o',edgecolor='r', facecolor='r', s=20, label='rotators')
# plt.scatter(members['bv']-self.ebv, members['period'], marker='o',edgecolor='k', facecolor='r', s=20, label='members')
# plt.scatter(nonmembers['bv']-self.ebv, nonmembers['period'], marker='x',edgecolor='k', facecolor='k', s=20, label='nonmembers')
fig = plt.figure()
ax = fig.gca(projection='3d')
# Plot a sin curve using the x and y axes.
#x = np.linspace(0, 1, 100)
#y = np.sin(x * 2 * np.pi) / 2 + 0.5
#ax.plot(x, y, zs=0, zdir='z', label='curve in (x,y)')
iso_v, iso_bv = self.load_isochrone()
ax.plot(iso_bv+self.ebv, iso_v+self.dm+(3.1*self.ebv), zs=0, zdir='z', color='b', alpha=0.3, lw=5.0,label='600 Myr iso')
ax.plot(bvgyro-self.ebv, np.ones(100)*7, P, color='b', label='%d Myr'% age)
ax.scatter(good['bv']-self.ebv, good['vmag'], good['period'], marker='o',edgecolor='r', facecolor='r', s=20, label='rotators')
ax.scatter(members['bv']-self.ebv, members['vmag'], members['period'], marker='o',edgecolor='k', facecolor='r', s=20, label='members')
ax.scatter(nonmembers['bv']-self.ebv, nonmembers['vmag'],nonmembers['period'], marker='x',edgecolor='k', facecolor='k', s=20, label='nonmembers')
for x,y,z in zip(good['bv']-self.ebv, good['vmag'], good['period']):
ax.plot([x,x,],[y,y],[0,z],'0.5')
# Make legend, set axes limits and labels
#ax.legend()
ax.set_xlim(0.2, 1.6)
ax.set_ylim(20.0, 7.0)
ax.set_zlim(0.0, 13.0)
ax.set_xlabel('(B - V)$_0$')
ax.set_ylabel('V [mag]')
ax.set_zlabel('period [days]')
# Customize the view angle so it's easier to see that the scatter points lie
# on the plane y=0
#ax.view_init(elev=20., azim=-35)
#ax.set_title('NGC 6633 Color Period Diagram')
if show:
plt.show()
else:
if gyrochrone:
plt.savefig(config.plotpath+'ngc6633cmpd_gyro.pdf')
else:
plt.savefig(config.plotpath+'ngc6633cmpd.pdf')
def plot_cpd(self, show=False):
query = """SELECT bv, period, amp
FROM m48stars
WHERE NOT good
AND NOT bv IS NULL
AND period>0;"""
data = self.wifsip.query(query)
bv = np.array([d[0] for d in data])
period = np.array([d[1] for d in data])
query = """SELECT bv, period, amp
FROM m48stars
WHERE vmag<4*bv + 13
AND NOT bv IS NULL
AND period>0
AND good;"""
data = self.wifsip.query(query)
bv_ms = np.array([d[0] for d in data])
period_ms = np.array([d[1] for d in data])
amp_ms = np.array([d[2] for d in data])
query = """SELECT bv, period, amp
FROM m48stars
WHERE NOT bv IS NULL
AND period>0
AND member;"""
data = self.wifsip.query(query)
bv_mem = np.array([d[0] for d in data])
period_mem = np.array([d[1] for d in data])
amp_mem = np.array([d[2] for d in data])
import gyroage
from functions import logspace
bvgyro = logspace(0.5, 2.0, num=100)
#P = gyroage.gyroperiod(bv360, 360.0, version=2007)
P, pc = gyroage.gyroperiod(bvgyro, 360.0, version=2010)
plt.plot(bvgyro, pc, color='b', linestyle='--')
plt.plot(bvgyro, P, color='r')
plt.scatter(bv-self.ebv, period, s=1,
edgecolor='none', c='k')
plt.scatter(bv_ms-self.ebv, period_ms, s=(1.0-amp_ms)*50.,
edgecolor='none', facecolor='green')
plt.scatter(bv_mem-self.ebv, period_mem, s=(1.0-amp_mem)*50.,
edgecolor='blue',
facecolor='none')
plt.xlabel('(B - V)$_0$')
plt.ylabel('period [days]')
plt.ylim(0.0, 20.0)
plt.xlim(0.0, 2.0)
plt.grid()
if show:
plt.show()
else:
plt.savefig(config.plotpath+'m48cpd.eps')
plt.savefig(config.plotpath+'m48cpd.pdf')
plt.close()
from datasource import DataSource
wifsip = DataSource(database='wifsip', user='******', host='oldpina.aip.de')
query = """SELECT bv, period
FROM m48stars
WHERE good;"""
data = wifsip.query(query)
bv = np.array([d[0] for d in data])
period = np.array([d[1] for d in data])
from gyroage import gyroperiod
bv400 = np.linspace(0.44, 1.6, num=100)
P11 = gyroperiod(bv400, 400)
P34 = gyroperiod(bv400, 400, P0=3.4)
P01 = gyroperiod(bv400, 400, P0=0.1)
P800 = gyroperiod(bv400, 800, P0=1.1)
plt.scatter(bv - 0.03,
period,
edgecolor='none',
c='k',
label='STELLA rotation periods')
plt.axvline(0.653, color='y', linewidth=3.0)
plt.plot(bv400, P34, 'b--', label='400 Myr model P$_0$=3.4 d')
#plt.plot(bv400, P01, 'g--', label='400 Myr model P$_0$=0.1 d')
plt.plot(bv400, P11, 'r', linewidth=3.0, label='400 Myr model P$_0$=1.1 d')
plt.plot(bv400, P800, 'g', label='800 Myr model P$_0$=1.1 d')