def __init__(
self,
GCName, # i.e. Pal5
basename="output", # base name of each bin file
increment=1, # time step in 10s of millions of years
current_time=0, # first time step in the sequence
max_time=500, # this is actually today,
# the number of time stamps to use for the center of mass orbit
adjcent_COM_points=700,
coordainte_sys='xy', # what units are we going to plot
):
self.GCName = GCName
self.basename = basename
self.increment = increment
self.current_time = current_time
self.max_time = max_time
self.gc_frame = inputMW.ref_frame()
self.adjcent_COM_points = adjcent_COM_points
self.coordainte_sys = coordainte_sys
self.folder_path = \
"../../simulations/outputDATA4movies/" + GCName + "/"
self.orbit_file = \
"../../simulations/outputDATA/PII/Plummer/backwardorbits/orbit" + GCName + ".dat"
self.set_file_name()
self.set_center_of_mass_file()
else:
xlabel = "X (KPC)"
ylabel = "Y (KPC)"
my_x_coordinate = np.array(
data_file[coordinate_system]["X"][criterian])
my_y_coordinate = np.array(
data_file[coordinate_system]["Y"][criterian])
# pick limits by rounding up to the nearest 10
extremes = [np.max(abs(my_x_coordinate)), np.max(abs(my_y_coordinate))]
my_extreme = round(np.max(extremes) / 10) * 10
xmin = -my_extreme
xmax = my_extreme
ymin = -my_extreme
ymax = my_extreme
# get the position in galacto-centric distance
gc_frame = ref_frame()
galactocentric = glob_center.transform_to(gc_frame)
cluster_X = galactocentric.x
cluster_Y = galactocentric.y
# Get colorbar based on the unit selected
my_cmap = "jet_r"
strict_color_range = 0
cbar_name = quantity_name
# calculate or extract which quantity to use as color scale
if quantity_name == "Lz":
X = np.array(data_file['galactocentric']['X'][criterian])
Y = np.array(data_file['galactocentric']['Y'][criterian])
VX = np.array(data_file['galactocentric']['VX'][criterian])
VY = np.array(data_file['galactocentric']['VY'][criterian])
angular_momentum = X * VY - Y * VX
my_quantity = np.array(angular_momentum)
def main(GCname):
""" GOAL is to verify that we get sensical streams before and after... """
"""
SET UP THE PARAMETERS
"""
### PARAMETERS TO CHANGE ####
# ASSIGN MILKY WAY MODEL
model = 'PII'
modelshort = "GCGC" # add this as another piece of information to add
# PATH TO OBTAIN THE BACKWARD ORBITS of the GC CENTRE DE MASSE
pathorbits = "/backwardorbitsGCGC/"
backward = 'NO'
pathstreams = "/streamsGCGC/"
# LIST OF THE GCs. Current GC is omitted,
fname_GClist = "GClist.txt"
N = 1
# ARE WE MAKING THE BIG TABLE WITH POTENTIAL PER TIME ?
writeGCGC = 0
# ASSIGN TOTAL NUMBER OF STEP FOR THE ORBIT INTEGRATION AND INTEGRATION TIME-STEP
Nstep = 50000
deltat = 0.001
# ASSIGN PARAMETERS FOR MONTE-CARLO SIMULATIONS ON ERRORS
Nsample = 10000
n_trials = 1
# ARE WE SAVING THE TIME STAMPS FOR THE MOVIE?
isave = 100 # set to zero to not save the bin files !
# PATH TO GC ORBITS
path = '../outputDATA/' + model + pathorbits
ierror = 0
# INFO TO GET SUBHALOS
pathSH = "../outputData/" + model + "/backwardorbitsOG/"
# GALACTIC REFERENCE FRAME
gc_frame = inputMW.ref_frame()
# GET GALACTIC PARAMETERS
MWparam = inputMW.MW(model)
# INFORMATION ON GCs of DARKMATTER HALOS
# must be initialized at zero for for orbits
nhalos = 0
nameSH = np.empty(0, dtype='c').T
bgGCParams = np.empty(0)
"""
OPEN THE INITIAL CONDITIONS FROM THE DATA FILES
get the initial conditions of the target GC
get initial confitions of the particles in the Target GC
get the path information of the other GC/subhalos if they are being used
"""
xGC, yGC, zGC, vxGC, vyGC, vzGC = inputGC.GCcoord(GCname, gc_frame, ierror)
# GET THE INITAL COORDINATE FROM THE LAST LINE OF THE FILE
with open(path + "orbit" + GCname + ".dat", 'r') as f:
for line in f:
pass
last_line = line
num = last_line.split()
xGCini, yGCini, zGCini, vxGCini, vyGCini, vzGCini = \
float(num[1]), float(num[2]), float(num[3]), \
float(num[4]), float(num[5]), float(num[6])
print("initial x,y,z,vx,vy,vz")
print(xGCini, yGCini, zGCini)
print(vxGCini, vyGCini, vzGCini)
# GET THE INITIAL POSITIONS OF THE PARTICLES
x0, y0, z0, vx0, vy0, vz0 = inputGC.Nbody(GCname)
# PUT IN REFERENCE FRAME OF THE GALAXY
x0 = x0 + xGCini
y0 = y0 + yGCini
z0 = z0 + zGCini
vx0 = vx0 + vxGCini
vy0 = vy0 + vyGCini
vz0 = vz0 + vzGCini
backward = "NO"
N = len(x0)
# Get the PARAMETERS OF THE SUBHALOS
if not os.path.isfile(fname_GClist):
GCparam = inputGC.Plummer(GCname)
print(fname_GClist, "is empty. Using", nhalos, "dark matter subhalos")
else:
GCparam, bgGCParams, bgGCNames = manage_GC_data(
GCname, fname_GClist, pathSH)
nhalos = len(bgGCNames)
res = max(bgGCNames, key=len)
len_str = len(res)
# this adds as many blank spaces to the right as necessary to have all elements in stringsSH as long as the longest one
bgGCNames = [bgGCNames[i].ljust(len_str) for i in range(0, nhalos)]
nameSH = np.array(bgGCNames, dtype='c').T
print("USING", nhalos, "DARK MATTER HALOS")
# MAKE FOLDER FOR SAVING THE MOVE
if isave != 0:
outdir = "../outputDATA4movies/" + model + "/" + modelshort + "/" + GCname
if os.path.isdir(outdir):
dircontents = os.listdir(outdir)
if len(dircontents) > 0:
print("")
print("WARNING ! You might be over writing the movies for the film! ")
print("The", outdir, "contains")
print(dircontents)
print("")
else:
os.makedirs(outdir)
"""
CALCULATE THE ORBITS
"""
start_time = time.time()
print("starting integrale")
integrate.orbits(x0, y0, z0, vx0, vy0, vz0, GCparam, MWparam, model, modelshort,
GCname, backward, pathorbits, deltat,
Nstep, pathSH, nameSH, bgGCParams, writeGCGC, isave)
end_time = time.time()
c_time = end_time - start_time
minutes = np.floor(c_time / 60)
seconds = c_time % 60
print("COMPUTATION TIME: {:.0f} min {:.0f} s".format(minutes, seconds))
"""
WRITE OUT THE STREAM FINAL COORDINATES
"""
# get the final coordaintes of the particles
xf = integrate.xp
yf = integrate.yp
zf = integrate.zp
vxf = integrate.vxp
vyf = integrate.vyp
vzf = integrate.vzp
tesc = integrate.tesc
phiMW = integrate.phimw
phiGC = integrate.phigc
# GET OTHER COORDINATES
c1 = coord.SkyCoord(x=xf * u.kpc, y=yf * u.kpc, z=zf * u.kpc, v_x=vxf * 10 *
u.km / u.s, v_y=vyf * 10 * u.km / u.s, v_z=vzf * 10 * u.km / u.s, frame=gc_frame)
gc2 = c1.transform_to(coord.ICRS)
# prepare RA and DEC
ra = gc2.ra.value
dec = gc2.dec.value
D = gc2.distance.value
pm_ra_cosdec = gc2.pm_ra_cosdec.value
pm_dec = gc2.pm_dec.value
RV = gc2.radial_velocity.value
# prepare galactic longitude and latitude
gc3 = gc2.transform_to('galactic')
ll = gc3.l.value
l = ll
l[ll > 180] = l[ll > 180] - 360.
b = gc3.b.value
pm_l_cosb = gc3.pm_l_cosb.value
pm_b = gc3.pm_b.value
# SAVE OUTPUT DATA
if (ierror == 0):
path = '../outputData/' + model + pathstreams
os.makedirs(path, exist_ok=True)
hf = h5py.File(path + "/" + GCname + '.h5', 'w')
# parameters
EQ = hf.create_group('equatorial')
EQ.create_dataset('RA', data=ra)
EQ.create_dataset('DEC', data=dec)
EQ.create_dataset('D', data=D)
EQ.create_dataset('PMRA_COSDEC', data=pm_ra_cosdec)
EQ.create_dataset('PMDEC', data=pm_dec)
EQ.create_dataset('RV', data=RV)
GAL = hf.create_group('galactic')
GAL.create_dataset('LONG', data=l)
GAL.create_dataset('LAT', data=b)
GAL.create_dataset('PML_COSB', data=pm_l_cosb)
GAL.create_dataset('PMB', data=pm_b)
GALCEN = hf.create_group('galactocentric')
GALCEN.create_dataset('X', data=xf)
GALCEN.create_dataset('Y', data=yf)
GALCEN.create_dataset('Z', data=zf)
GALCEN.create_dataset('VX', data=vxf)
GALCEN.create_dataset('VY', data=vyf)
GALCEN.create_dataset('VZ', data=vzf)
ENERGY = hf.create_group('energy')
ENERGY.create_dataset('Tescape', data=tesc)
ENERGY.create_dataset('phiMW', data=phiMW)
ENERGY.create_dataset('phiGC', data=phiGC)
# finish
hf.close()
integrate.deallocate()
print("END")
f = FortranFile(namefile, 'r')
x = f.read_reals(dtype='float32')
y = f.read_reals(dtype='float32')
z = f.read_reals(dtype='float32')
vx = f.read_reals(dtype='float32')
vy = f.read_reals(dtype='float32')
vz = f.read_reals(dtype='float32')
f.close()
print(len(x))
plt.figure()
plt.scatter(x, y)
plt.show()
gc_frame = inputMW.ref_frame()
c1 = coord.SkyCoord(x=x * u.kpc,
y=y * u.kpc,
z=z * u.kpc,
v_x=vx * 10 * u.km / u.s,
v_y=vy * 10 * u.km / u.s,
v_z=vz * 10 * u.km / u.s,
frame=gc_frame)
gc2 = c1.transform_to(coord.ICRS)
ra = gc2.ra.value
dec = gc2.dec.value
D = gc2.distance.value
pm_ra_cosdec = gc2.pm_ra_cosdec.value
pm_dec = gc2.pm_dec.value
def main(GCname):
""" Integrate backward in time """
"""
SET THE PARAMETERS AND PATH INFORMATION
"""
model = 'PII'
modelshort = model
# SET OUTPUT PATH OF WHERE TO SAVE THE BACKWARDORBITS
pathorbits = "/backwardorbitsGCGC/"
backward = 'YES'
# GET THE POTENTIAL OF THE INTERACTIONS OF EACH GCGC
writeGCGC = "YES"
# LIST OF THE GCs. Current GC is omitted,
fname_GClist = "GClist.txt"
N = 1
# ASSIGN TOTAL NUMBER OF STEP FOR THE ORBIT INTEGRATION AND INTEGRATION TIME-STEP
Nstep = 50000
deltat = 0.001
# ASSIGN PARAMETERS FOR MONTE-CARLO SIMULATIONS ON ERRORS
Nsample = 10000
n_trials = 1
# PATH TO GC ORBITS
path = '../outputDATA/' + model + pathorbits
ierror = 0
# INFO TO GET SUBHALOS
pathSH = "../outputData/" + model + "/backwardorbitsOG/"
# GALACTIC REFERENCE FRAME
gc_frame = inputMW.ref_frame()
# GET GALACTIC PARAMETERS
MWparam = inputMW.MW(modelshort)
# GET THE GC initial conditions
xGC, yGC, zGC, vxGC, vyGC, vzGC = inputGC.GCcoord(GCname, gc_frame, ierror)
# the parameters of each
if not os.path.isfile(fname_GClist):
GCparam = inputGC.Plummer(GCname)
nhalos = 0
len_str = 2
nameSH = np.empty(0, dtype='c').T
bgGCParams = np.empty(0)
print(fname_GClist, "is empty. Using", nhalos, "dark matter subhalos")
else:
GCparam, bgGCParams, bgGCNames = manage_GC_data(
GCname, fname_GClist, pathSH)
nhalos = len(bgGCNames)
res = max(bgGCNames, key=len)
len_str = len(res)
# this adds as many blank spaces to the right as necessary to have all elements in stringsSH as long as the longest one
bgGCNames = [bgGCNames[i].ljust(len_str) for i in range(0, nhalos)]
nameSH = np.array(bgGCNames, dtype='c').T
os.makedirs(path, exist_ok=True)
integrate.orbits(xGC, yGC, zGC, vxGC, vyGC, vzGC, GCparam, MWparam, model,
modelshort, GCname, backward, pathorbits, deltat,
int(Nstep), pathSH, nameSH, bgGCParams, writeGCGC)
# orbits(x,y,z,vx,vy,vz,GCparam,MWparam,
# model,modelshort,GCname,backward,pathorbits,deltat,
# Nstep,N,Nhalos,len_str,pathSH,nameSH)
# No need to #DEFINE N don't need to be passed from python,
# though they need to be declared in fortran
# But since the arrays are being passed from python, we don't need this variable that declares size
# same thing with NHalos, since it is impiled with nameSH
# no need to pass len_str either
# I don't think we need this code below ?
xGCini = integrate.xp
yGCini = integrate.yp
zGCini = integrate.zp
vxGCini = integrate.vxp
vyGCini = integrate.vyp
vzGCini = integrate.vzp