def biweight_Rg(ra, dec, v, d):
N = len(ra)
dist_inverse = []
for i in range(0,N-1):
for j in range(i+1,N):
distij = angle(ra[i], dec[i], ra[j], dec[j])
if distij !=0 :
dist_inverse.append( distij)
dist_inverse = np.asarray(dist_inverse)
n = len(dist_inverse)
if n!=0:
Med=np.median(dist_inverse)
Rh_1 = Med
for p in range(0,10):
Rh_1 = st.biweight_location(dist_inverse, M=Med)
Med = Rh_1
#Rg_radian = N*N/(n*st.biweight_location(dist_inverse))
#Rg_radian = N*N/dist_inverse.sum()
Rg_radian = Rh_1#2*N*Rh_1/(N-1)
#print dist_inverse
#print N, ' ' ,st.biweight_location(dist_inverse), ' ', dist_inverse.sum()/n
else:
Rg_radian = float('nan')
if d == 0 : d = v / H0
return d * Rg_radian
Bi_Weight = True
if Bi_Weight:
i = 0
while i < len(flag):
if flag[i] == 2:
j = i
v_galaxies = []
gl_galaxies = []
gb_galaxies = []
i+=1
while flag[i] == 1:
v_galaxies.append(Vls[i])
gl_galaxies.append(gl[i])
gb_galaxies.append(gb[i])
i+=1
mean = st.biweight_location(v_galaxies) # bi-weight mean radial velocity
sigma = st.biweight_midvariance(v_galaxies) # bi-weight radial velocity Dispersion
if isnan(mean): mean = Vls[j]
if not isnan(sigma): sigmaP_dyn[j] = sigma
Rg_bi = biweight_Rg(gl_galaxies, gb_galaxies, mean, mDist[j])
#if not isnan(Rg_bi): R2t_dyn[j] = Rg_bi * (pi*0.5/1.05/sqrt(1.5))
i-=1
i+=1
#################################################################
N = len(flag)
filter = np.zeros((N,), dtype=np.int)
f1 = np.zeros((N,), dtype=np.int)
f1[np.where(Vls<100)] = 1
f2 = np.zeros((N,), dtype=np.int)
def groupWrite(outfile, G_list, galList):
NoGroups = len(G_list)
myTable = Table()
empty = []
myTable.add_column(Column(data=empty, name='ID', dtype=np.dtype(int)))
myTable.add_column(Column(data=empty, name='grpID', dtype=np.dtype(int)))
myTable.add_column(Column(data=empty, name='flag', dtype=np.dtype(int)))
myTable.add_column(Column(data=empty, name='ra', format='%0.4f'))
myTable.add_column(
Column(data=empty, name='dec', format='%0.4f', length=10))
myTable.add_column(Column(data=empty, name='MagK', format='%0.2f'))
myTable.add_column(Column(data=empty, name='Ks', format='%0.2f'))
myTable.add_column(Column(data=empty, name='logK', format='%0.4f'))
myTable.add_column(Column(data=empty, name='Vls', format='%0.0f'))
myTable.add_column(Column(data=empty, name='dist', format='%0.2f'))
myTable.add_column(Column(data=empty, name='mDist', format='%0.2f'))
myTable.add_column(Column(data=empty, name='R_theta', format='%0.5f'))
myTable.add_column(Column(data=empty, name='sigmaP_dyn', format='%0.1f'))
myTable.add_column(Column(data=empty, name='sigmaP_lum', format='%0.1f'))
myTable.add_column(Column(data=empty, name='Mv_dyn', format='%1.2e'))
myTable.add_column(Column(data=empty, name='Mv_lum', format='%1.2e'))
myTable.add_column(Column(data=empty, name='Rg_angular', format='%0.3f'))
myTable.add_column(Column(data=empty, name='Rg_dyn', format='%0.3f'))
myTable.add_column(Column(data=empty, name='R2t_dyn', format='%0.3f'))
myTable.add_column(Column(data=empty, name='R2t_lum', format='%0.3f'))
myTable.add_column(Column(data=empty, name='r2t_lum', format='%0.3f'))
myTable.add_column(Column(data=empty, name='tX_dyn', format='%1.2e'))
myTable.add_column(Column(data=empty, name='tX_lum', format='%1.2e'))
myTable.add_column(
Column(data=empty, name='No_Galaxies', dtype=np.dtype(int)))
myTable.add_column(Column(data=empty, name='nest', dtype=np.dtype(int)))
#print "# of all groups: ", NoGroups
for i in range(0, NoGroups): # for all groups
if G_list[i][0].Vls <= 3500:
dist = G_list[i][0].mDist
if dist == 0: dist = G_list[i][0].Vls / H0
if dist < 1: dist = 1
Rg = dist * Rg_radian(G_list[i][1:]) # old version
Rg_angular = dist * G_list[i][0].R_theta
ra_lst = []
dec_lst = []
v_galaxies = []
for gal in G_list[i][1:]:
ra_lst.append(gal.ra)
dec_lst.append(gal.dec)
v_galaxies.append(gal.Vls)
mean = st.biweight_location(v_galaxies)
Rg_bi = biweight_Rg(ra_lst, dec_lst, mean, dist)
Rg = Rg_bi # bi-weight version
#print 'Whisle ...:', pgc, dist , Rg_bi, Rg
G_list[i][0].sigma = st.biweight_midvariance(v_galaxies)
for j in range(0, len(G_list[i])): # for all galaxies
galaxy = G_list[i][j]
flag = galaxy.flag
ID = galaxy.id
grp_id = galaxy.grp_id
ra = galaxy.ra
dec = galaxy.dec
Vls = galaxy.Vls
logK = galaxy.logK
Ks = galaxy.Ks
dist = galaxy.dist
mDist = galaxy.mDist
if flag == 2:
distance = mDist
else:
distance = dist
if distance == 0:
distance = Vls / H0
MagK = galaxy.Ks - 5 * log10(distance) - 30 + 5
subGalaxies = G_list[i][0].subGalaxies
R_theta = G_list[i][0].R_theta
sigmaP_dyn = G_list[i][0].sigma
nest = G_list[i][0].nest
Mv_lum = galaxy.M_v2
R2t_lum = galaxy.R_2t2
r2t_lum = galaxy.r2t
sigmaP_lum = (Mv_lum / (2.0E6))**(1. / 3)
tX_lum = Mpc_km * R2t_lum * 1.05 * sqrt(
1.5) / sigmaP_lum / sqrt(2.5)
if j != 0:
Rg = 0 # dynamical virial radius
R_theta = 0
Rg_angular = 0
Mv_dyn = (1.E9 * (2.5 * pi / G / 2.) *
(Mpc_km * Rg) * sigmaP_dyn**2) / M_sun # solar mass
if sigmaP_dyn == 0:
tX_dyn = 0
else:
tX_dyn = Mpc_km * 0.5 * pi * Rg / sigmaP_dyn / sqrt(2.5)
R2t_dyn = (Rg * pi * 0.5) / 1.05 / sqrt(1.5)
myTable.add_row([ID,grp_id,flag,ra,dec,MagK,Ks,logK,Vls, dist, \
mDist, R_theta, sigmaP_dyn, sigmaP_lum, \
Mv_dyn, Mv_lum, Rg_angular, Rg, R2t_dyn, R2t_lum, r2t_lum, tX_dyn, tX_lum, subGalaxies, nest])
# writing individual galaxies
for galaxy in galList:
if galaxy.inGroup <= 0. and galaxy.Vls <= 3500:
flag = galaxy.inGroup
galaxy.flag = flag
ID = galaxy.id
grp_id = galaxy.grp_id
ra = galaxy.ra
dec = galaxy.dec
Vls = galaxy.Vls
logK = galaxy.logK
Ks = galaxy.Ks
dist = galaxy.dist
if dist == 0:
distance = 0.00001
else:
distance = dist
MagK = galaxy.Ks - 5 * log10(distance) - 30 + 5
mDist = galaxy.mDist
subGalaxies = galaxy.subGalaxies
R_theta = galaxy.R_theta
sigmaP_dyn = galaxy.sigma
nest = galaxy.nest
Mv_lum = galaxy.M_v2
R2t_lum = galaxy.R_2t2
sigmaP_lum = (Mv_lum / (2.0E6))**(1. / 3)
tX_lum = Mpc_km * R2t_lum * 1.05 * sqrt(1.5) / sigmaP_lum / sqrt(
2.5)
Rg = 0 # dynamical virial radius
Mv_dyn = 0 # solar mass
tX_dyn = 0
R2t_dyn = 0
Rg_angular = 0
R_theta = 0
myTable.add_row([ID,grp_id,flag,ra,dec,MagK,Ks,logK,Vls, dist, \
mDist, R_theta, sigmaP_dyn, sigmaP_lum, \
Mv_dyn, Mv_lum, Rg_angular, Rg, R2t_dyn, R2t_lum, r2t_lum, tX_dyn, tX_lum, subGalaxies, nest])
ID = 999999999
ra = 999.9999
dec = -99.99
Ks = 99.99
MagK = -99.99
logK = 99.9999
Vls = 9999
dist = 99.99
mDist = 99.99
Mv_dyn = 9.99E99
Mv_lum = Mv_dyn
tX_dyn = Mv_lum
tX_lum = Mv_lum
nest = 9999999
subGalaxies = 9999
myTable.add_row([ID,grp_id,flag,ra,dec,MagK,Ks,logK,Vls, dist, \
mDist, R_theta, sigmaP_dyn, sigmaP_lum, \
Mv_dyn, Mv_lum, Rg_angular, Rg, R2t_dyn, R2t_lum, r2t_lum, tX_dyn, tX_lum, subGalaxies, nest])
myTable.write(outfile,
format='ascii.fixed_width',
delimiter='|',
bookend=False)
# removing the last line, (it sits o adjust the column wodths)
command = ["csh", "remove_lastline.csh", outfile]
subprocess.call(command)
