def plot_cmd(self, show=False, mark_active=False):
from dbtable import DBTable # @UnresolvedImport
alls = DBTable(self.wifsip, 'm48stars', condition='NOT bv is NULL')
good = DBTable(self.wifsip, 'm48stars', condition='good and provisional is null')
prov = DBTable(self.wifsip, 'm48stars', condition='provisional')
iso_v, iso_bv = self.load_isochrone()
plt.plot(iso_bv, iso_v, 'g', alpha=0.3, lw=5.0,label='800 Myr iso')
plt.scatter(alls['bv']-self.ebv,alls['vmag'], edgecolor='none', alpha=0.75, s=4, c='k')
if mark_active:
plt.scatter(good['bv']-self.ebv, good['vmag'], marker='o',edgecolor='r', facecolor='r', s=30, label='rotators')
plt.scatter(prov['bv']-self.ebv, prov['vmag'], marker='o',edgecolor='r', facecolor='none', s=30, label='provisional')
plt.legend()
plt.title('M48 Color Magnitude Diagram')
plt.ylim(20.0, 10.0)
plt.xlim(0.0, 2.0)
plt.xlabel('(B - V)$_0$')
plt.ylabel('V [mag]')
plt.grid()
if show:
plt.show()
else:
if mark_active:
plt.savefig(config.plotpath+'m48cmd_active.eps')
plt.savefig(config.plotpath+'m48cmd_active.pdf')
plt.savefig(config.plotpath+'m48cmd_active.png', dpi=300)
else:
plt.savefig(config.plotpath+'m48cmd.eps')
plt.savefig(config.plotpath+'m48cmd.pdf')
plt.close()
def calibratebv(self):
'''drop view ngc6633match;
create view ngc6633match as
SELECT ngc6633ref.starid, ngc6633.vmag, ngc6633.bmag, ngc6633ref.vmag "vmag_ref", ngc6633ref.bmag "bmag_ref"
FROM ngc6633, ngc6633ref
WHERE circle(ngc6633.coord,0) <@ circle(ngc6633ref.coord, 1.0/3600.0);'''
from dbtable import DBTable
match = DBTable(
self.wifsip,
'ngc6633match',
condition=
'NOT vmag_ref IS NULL AND NOT bmag_ref IS NULL AND vmag>12')
vmag = match['vmag']
bmag = match['bmag']
bv = bmag - vmag
vmagref = match['vmag_ref']
bmagref = match['bmag_ref']
bvref = bmagref - vmagref
A = np.vstack([vmag, bv, np.ones(len(vmag))]).T
vcorr = np.linalg.lstsq(A, vmagref)[0]
B = np.vstack([bmag, bv, np.ones(len(bmag))]).T
bcorr = np.linalg.lstsq(B, bmagref)[0]
print vcorr
print bcorr
def plot_cmd(self, show=False, mark_active=False, isochrone=True):
from dbtable import DBTable
vc = [ 0.98976977, 0.01785897, 0.07519376]
bc = [ 0.99106353, 0.01346018, 0.07998822]
alls = DBTable(self.wifsip, 'ngc6633', condition='NOT bv is NULL AND vmag<20')
good = DBTable(self.wifsip, 'ngc6633', condition='good')
members = DBTable(self.wifsip, 'ngc6633', condition='member')
#prov = DBTable(self.wifsip, 'ngc6633', condition='provisional')
vmag = vc[0]*alls['vmag'] + vc[1]*alls['bv'] + vc[2]
bmag = bc[0]*alls['bmag'] + bc[1]*alls['bv'] + bc[2]
bv = bmag - vmag
plt.style.use('aanda.mplstyle')
suffix = ''
if isochrone:
print 'Av = %f' % (3.1*self.ebv)
iso_v, iso_bv = self.load_isochrone()
plt.plot(iso_bv+self.ebv, iso_v+self.dm+(3.1*self.ebv), 'b', alpha=0.3, lw=5.0,label='600 Myr iso') #
suffix = suffix + '_iso'
plt.scatter(bv, vmag, edgecolor='none', alpha=0.75, s=2, c='k')
if mark_active:
plt.scatter(good['bv'], good['vmag'], marker='o',edgecolor='r', facecolor='r', s=20, label='rotators')
suffix = suffix + '_active'
plt.scatter(members['bv'], members['vmag'], marker='o', edgecolor='g', facecolor='none', s=20, label='members')
plt.legend(loc='lower left')
plt.title('NGC6633 Color Magnitude Diagram')
plt.ylim(20.0, 7.0)
plt.xlim(0.0, 1.7)
plt.xlabel('B - V')
plt.ylabel('V [mag]')
plt.minorticks_on()
plt.grid()
if show:
plt.show()
else:
plt.savefig(config.plotpath+'ngc6633cmd%s.pdf' % suffix)
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()
def getstars(self):
"""
build up a list of stars, that have been marked sa good
"""
from dbtable import DBTable
query = """SELECT starid
FROM ngc6633
WHERE good
ORDER BY tab;"""
result = self.wifsip.query(query)
print '... %d stars found' % len(result)
self.stars = DBTable(self.wifsip, 'ngc6633', condition='good')
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_map(self, show=False):
'''
plots the map of the M48 observation including the BJG field
'''
#import pywcsgrid2
import astro.coordinates as ast
from dbtable import DBTable # @UnresolvedImport
astars = DBTable(self.wifsip, 'ngc6633', condition='vmag<12.0 and good is NULL')
gstars = DBTable(self.wifsip, 'ngc6633', condition='good')
#pstars = DBTable(self.wifsip, 'NGC6633Star', condition='provisional')
#set plot attributes
plt.style.use('aanda.mplstyle')
params = {
u'figure.subplot.bottom' : 0.11,
u'figure.subplot.left' : 0.11,
u'figure.subplot.right' : 0.89,
u'figure.subplot.top' : 0.89
}
rcParams.update(params)
fig = plt.figure()
ax = fig.add_subplot(111)
vmag = np.array(astars['vmag'])
ax.set_aspect(1.)
ax.scatter(astars['ra'],astars['dec'], marker='*', s=(12.-vmag)*15,facecolor='gray', edgecolor='none')
#ax.scatter(pstars['ra'],pstars['dec'], marker='o',edgecolor='r', facecolor='none', s=10)
ax.scatter(gstars['ra'],gstars['dec'], marker='o',edgecolor='r', facecolor='r', s=10)
ra = np.array([8.24242, 8.21705, 8.20416])*15.0
de = np.array([-6.08887,-5.70876,-5.51204])
x = [ra[0],ra[2],ra[2],ra[1],ra[1],ra[0],ra[0]]
y = [de[0],de[0],de[1],de[1],de[2],de[2],de[0]]
cra, cdec = (276.88, 6.57)
d2 = 0.5*1320.2/3600.0
fields = [(cra , cdec),
(cra - d2, cdec + d2),
(cra + d2, cdec + d2),
(cra - d2, cdec - d2),
(cra + d2, cdec - d2)]
for field in fields:
ra,dec = field
ras = [ra-d2, ra+d2, ra+d2, ra-d2, ra-d2]
das = [dec-d2, dec-d2, dec+d2, dec+d2, dec-d2]
ax.plot(ras, das ,'g')
ax.plot(x,y, 'k', linestyle='--',label='BJG 2005')
#xticks = ax.get_xticks()
print [ast.dd2hms(r) for r in ras]
xticks = [ast.hms2dd((18,m,0)) for m in [30,29,28,27,26,15]]
xlabels = ['$8^h%2d^m$' % m for m in [30,29,28,27,26,15]]
plt.xticks(xticks, xlabels)
declist = [(6,0),(6,15),(6,30),(6,45),(7,0)]
yticks = [ast.dms2dd(dl) for dl in declist]
ylabels = ['$%d^{\circ}%2d^m$' % dl for dl in declist]
plt.yticks(yticks, ylabels, rotation=90)
ax.grid()
ax.set_ylim(cdec-0.4,cdec+0.4)
ax.set_xlim(cra+0.4,cra-0.4)
plt.xlabel('R.A. (J2000)')
plt.ylabel('Dec. (J2000)')
if show:
plt.show()
else:
plt.savefig(config.plotpath+'ngc6633_map.pdf', transparent=True)
plt.savefig(config.plotpath+'ngc6633_map.eps', transparent=True)
def plot_map(self, show=False):
'''
plots the map of the M48 observation including the BJG field
'''
#import pywcsgrid2
import astronomy as ast
from dbtable import DBTable # @UnresolvedImport
astars = DBTable(self.wifsip, 'm48stars', condition='vmag<12.0 and good is NULL')
gstars = DBTable(self.wifsip, 'm48stars', condition='good and provisional is null')
pstars = DBTable(self.wifsip, 'm48stars', condition='provisional')
fig_width = 8.9/2.54 # width in inches, was 7.48in
fig_height = 8.9/2.54 # height in inches, was 25.5
fig_size = [fig_width,fig_height]
#set plot attributes
params = {'backend': 'Agg',
'axes.labelsize': 8,
'axes.titlesize': 10,
'font.size': 8,
'xtick.labelsize': 8,
'ytick.labelsize': 8,
'figure.figsize': fig_size,
'savefig.dpi' : 300,
'font.family': 'sans-serif',
'axes.linewidth' : 0.2,
'xtick.major.size' : -2,
'ytick.major.size' : -2,
u'figure.subplot.bottom' : 0.11,
u'figure.subplot.left' : 0.11,
u'figure.subplot.right' : 0.89,
u'figure.subplot.top' : 0.89
}
rcParams.update(params)
fig = plt.figure()
ax = fig.add_subplot(111)
vmag = np.array(astars['vmag'])
ax.set_aspect(1.)
ax.scatter(astars['ra'],astars['dec'], marker='*', s=(12.-vmag)*15,facecolor='gray', edgecolor='none')
ax.scatter(pstars['ra'],pstars['dec'], marker='o',edgecolor='r', facecolor='none', s=10)
ax.scatter(gstars['ra'],gstars['dec'], marker='o',edgecolor='r', facecolor='r', s=10)
ra = np.array([8.24242, 8.21705, 8.20416])*15.0
de = np.array([-6.08887,-5.70876,-5.51204])
x = [ra[0],ra[2],ra[2],ra[1],ra[1],ra[0],ra[0]]
y = [de[0],de[0],de[1],de[1],de[2],de[2],de[0]]
cra, cdec = (123.42916666666666,-5.75)
d2 = 0.5*1320.2/3600.0
fields = [(cra , cdec),
(cra - d2, cdec + d2),
(cra + d2, cdec + d2),
(cra - d2, cdec - d2),
(cra + d2, cdec - d2)]
for field in fields:
ra,dec = field
ras = [ra-d2, ra+d2, ra+d2, ra-d2, ra-d2]
das = [dec-d2, dec-d2, dec+d2, dec+d2, dec-d2]
ax.plot(ras, das ,'g')
ax.plot(x,y, 'k', linestyle='--',label='BJG 2005')
#xticks = ax.get_xticks()
xticks = [ast.hms2dd((8,m,0)) for m in [16,15,14,13,12]]
xlabels = ['$8^h%2d^m$' % m for m in [16,15,14,13,12]]
plt.xticks(xticks, xlabels)
declist = [(-5,15),(-5,30),(-5,45),(-6,0),(-6,15)]
yticks = [ast.dms2dd(dl) for dl in declist]
ylabels = ['$%d^{\circ}%2d^m$' % dl for dl in declist]
plt.yticks(yticks, ylabels, rotation=-90)
ax.grid()
ax.set_ylim(cdec-0.4,cdec+0.4)
ax.set_xlim(cra+0.4,cra-0.4)
plt.xlabel('R.A. (J2000)')
plt.ylabel('Dec. (J2000)')
if show:
plt.show()
else:
plt.savefig(config.plotpath+'m48_map.pdf', transparent=True)
plt.savefig(config.plotpath+'m48_map.eps', transparent=True)