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run_kcorrect.py
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run_kcorrect.py
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# -*- coding: utf-8 -*-
import numpy as np
import math as math
import matplotlib.pylab as plt
import kcorrect as KC
from kcorrect.sdss import SDSSFilterList, SDSSPhotoZ, SDSS, SDSSKCorrect
from kcorrect.utils.cosmology import ztodm
from scipy import integrate
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import pyfits as pyfits
import utils
#import sami_db
import db as db
import plot_survey as plot
#from sami_new import getDataArray as fullDataArray
#from sami_new import plotScatter as OldSchoolPlot
import matplotlib.font_manager
import csv
import readAtlas
import collections
imgDir = 'img/'
dbDir = '../db/'
dbFile = 'CALIFA.sqlite'
dataFile = 'data/Califa.csv'
morphDataFile = 'morph.dat'
observedList = 'list_observed.txt'
db_dataFile = 'db_data.txt'
#constants
c = 299792.458
pi = 3.14159265
# Cosmological parameters
H0 = 70.0 #km/s/Mpc, 1 Mpc= 3.08568025*1e19 km
tH = (3.08568025*1e19/H0)/(3600 * 365 * 24*10e9) #Hubble time in Gyr
dH = c/H0 #in Mpc
Wl = 0.728
Wm = 1 - Wl
Wh = c / H0
Wk = 1 - Wm - Wl
tH = (3.08568025*1e19/H0)/(3600 * 365 * 24*10e9) #Hubble time in Gyr
#utilities
def E_z(z): #time derivative of log(a(t)), used for integration
return 1/(np.sqrt((Wm*(1+z)**3 + Wk*(1+z)**2 + Wl)))
def comovingDistance(z):
Dc = dH * 1000* integrate.quad(E_z, 0, z)[0] #in kpc
return Dc
def angular2physical(reff, z): #return physical effective diameter of the galaxy in kpc
return (math.radians(2*reff/3600) *(comovingDistance(z)) / (1 + z)**2)
def getAbsMag(z, mag, ext):
print z
d = comovingDistance(z)
dm = ztodm(z, (Wm, Wl, H0/100))
absmag = mag - dm - ext
print dm, 'dm', absmag, 'absmag'
return absmag
def convert(data):
tempDATA = []
for i in data:
tempDATA.append([float(j) for j in i])
return np.asarray(tempDATA)
def findOverlap(a, b):
a_multiset = collections.Counter(list(a))
b_multiset = collections.Counter(list(b))
return list((a_multiset & b_multiset).elements())
def main():
data = np.empty((939, 16))
califa_id = utils.convert(db.dbUtils.getFromDB('califa_id', dbDir+'CALIFA.sqlite', 'gc'))
u = utils.convert(db.dbUtils.getFromDB('u_mag', dbDir+'CALIFA.sqlite', 'gc'))
g = utils.convert(db.dbUtils.getFromDB('g_mag', dbDir+'CALIFA.sqlite', 'gc'))
r = utils.convert(db.dbUtils.getFromDB('r_mag', dbDir+'CALIFA.sqlite', 'gc'))
i = utils.convert(db.dbUtils.getFromDB('i_mag', dbDir+'CALIFA.sqlite', 'gc'))
z = utils.convert(db.dbUtils.getFromDB('z_mag', dbDir+'CALIFA.sqlite', 'gc'))
ext_u = utils.convert(db.dbUtils.getFromDB('extinction_u', dbDir+'CALIFA.sqlite', 'extinction'))
ext_g = utils.convert(db.dbUtils.getFromDB('extinction_g', dbDir+'CALIFA.sqlite', 'extinction'))
ext_r = utils.convert(db.dbUtils.getFromDB('extinction_r', dbDir+'CALIFA.sqlite', 'extinction'))
ext_i = utils.convert(db.dbUtils.getFromDB('extinction_i', dbDir+'CALIFA.sqlite', 'extinction'))
ext_z = utils.convert(db.dbUtils.getFromDB('extinction_z', dbDir+'CALIFA.sqlite', 'extinction'))
err_u = utils.convert(db.dbUtils.getFromDB('petroMagErr_u', dbDir+'CALIFA.sqlite', 'extinction'))
err_g = utils.convert(db.dbUtils.getFromDB('petroMagErr_g', dbDir+'CALIFA.sqlite', 'extinction'))
err_r = utils.convert(db.dbUtils.getFromDB('petroMagErr_r', dbDir+'CALIFA.sqlite', 'extinction'))
err_i = utils.convert(db.dbUtils.getFromDB('petroMagErr_i', dbDir+'CALIFA.sqlite', 'extinction'))
err_z = utils.convert(db.dbUtils.getFromDB('petroMagErr_z', dbDir+'CALIFA.sqlite', 'extinction'))
redshift = utils.convert(db.dbUtils.getFromDB('z', dbDir+'CALIFA.sqlite', 'ned_z'))
data[:, 0] = u[:, 0]
data[:, 1] = g[:, 0]
data[:, 2] = r[:, 0]
data[:, 3] = i[:, 0]
data[:, 4] = z[:, 0]
data[:, 5] = ext_u[:, 0]
data[:, 6] = ext_g[:, 0]
data[:, 7] = ext_r[:, 0]
data[:, 8] = ext_i[:, 0]
data[:, 9] = ext_z[:, 0]
data[:, 10] = err_u[:, 0]
data[:, 11] = err_g[:, 0]
data[:, 12] = err_r[:, 0]
data[:, 13] = err_i[:, 0]
data[:, 14] = err_z[:, 0]
data[:, 15] = redshift[:, 0]
maggies = data[:, 0:5]
extinction = data[:, 5:10]
maggies_err = data[:, 10:15]
print maggies.shape, extinction.shape, maggies_err.shape
outputArray = np.empty((939, 9))
kc = SDSSKCorrect(redshift, maggies, maggies_err, extinction, cosmo=(Wm, Wl, H0/100))
kcorr = kc.kcorrect()
#absmag = getAbsMag(redshift, maggies[:, 2], extinction[:, 2])#kc.absmag()
outputArray[:,0] = califa_id[:, 0]
#print kcorr[:, 2][:].shape
outputArray[:, 1:6] = kc.absmag()
coeffs = kc.coeffs#[:, 1:4]
tmremain = np.array([[0.601525, 0.941511, 0.607033, 0.523732, 0.763937]])
ones = np.ones((1, len(redshift)))
prod = np.dot(tmremain.T, ones).T
modelMasses = coeffs*prod
#print modelMasses.shape
mass = np.sum(modelMasses, axis=1)
for i in range (0, (len(data))):
distmod = KC.utils.cosmology.ztodm(redshift[i])
exp = 10 ** (0.4 * distmod)
outputArray[i, 6] = mass[i] * exp
#outputArray[i, 7] = getAbsMag(redshift[i], maggies[i, 2], extinction[i, 2])
outputArray[i, 8] = distmod
outputArray[:, 7] = kcorr[:, 2]
np.savetxt("absmag.csv", outputArray, fmt = '%i, %10.3f, %10.3f, %10.3f, %10.3e, %10.3f, %10.3e, %10.3e, %10.3e')
if __name__ == '__main__':
main()