def event_by_event(fname_partons, fout, etaos=0.0):
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 301
cfg.NY = 301
cfg.NZ = 101
cfg.DT = 0.005
cfg.DX = 0.1
cfg.DY = 0.1
cfg.DZ = 0.15
cfg.IEOS = 4
cfg.TFRZ = 0.136
cfg.ntskip = 60
cfg.nzskip = 2
cfg.TAU0 = 0.4
cfg.ETAOS = etaos
cfg.fPathOut = fout
write_config(cfg)
t0 = time()
visc = CLVisc(cfg, gpu_id=3)
visc.create_ini_from_partons(fname_partons, SIGR=0.6, SIGZ=0.6, KFACTOR=1.3)
visc.evolve(max_loops=4000, save_hypersf=True, save_bulk=True, save_vorticity=True)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime = t1-t0))
def event_by_event(fname_partons, fout):
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 201
cfg.NY = 201
cfg.NZ = 81
cfg.DT = 0.005
cfg.DX = 0.16
cfg.DY = 0.16
cfg.IEOS = 2
cfg.ntskip = 60
cfg.TAU0 = 0.4
cfg.ETAOS = 0.16
cfg.fPathOut = fout
t0 = time()
visc = CLVisc(cfg)
visc.create_ini_from_partons(fname_partons,
SIGR=0.6,
SIGZ=0.6,
KFACTOR=1.2)
visc.evolve(max_loops=4000, save_hypersf=True, save_bulk=False)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
def main():
'''set default platform and device in opencl'''
#os.environ[ 'PYOPENCL_CTX' ] = '0:0'
print('start ...')
t0 = time()
from config import cfg
cfg.NX = 201
cfg.NY = 201
cfg.NZ = 61
cfg.DT = 0.005
cfg.DX = 0.16
cfg.DY = 0.16
cfg.IEOS = 2
cfg.ntskip = 40
cfg.TAU0 = 0.2
cfg.ETAOS = 0.08
from visc import CLVisc
visc = CLVisc(cfg)
fname_partons = '/u/lpang/P10.txt'
#fname_partons = '/data01/hyihp/pang/GammaJet/AuAu200_0_80/P1.txt'
Smearing(cfg, visc.ctx, visc.queue, visc.compile_options,
visc.ideal.d_ev[1], fname_partons, visc.eos_table)
visc.evolve(max_loops=2400, save_hypersf=True)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime = t1-t0))
def event_by_event(fout,
cent='30_35',
idx=0,
etaos=0.0,
fname_ini='/lustre/nyx/hyihp/lpang/hdf5_data/auau39.h5',
gpu_id=3):
''' Run event_by_event hydro, with initial condition
from smearing on the particle list'''
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 301
cfg.NY = 301
cfg.NZ = 5
cfg.DT = 0.005
cfg.DX = 0.1
cfg.DY = 0.1
cfg.DZ = 0.15
cfg.IEOS = 1
cfg.TFRZ = 0.136
cfg.ntskip = 60
cfg.nzskip = 1
cfg.TAU0 = 0.4
cfg.ETAOS = etaos
cfg.fPathOut = fout
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
parton_list, eid, imp_b, nwound, npartons = read_p4x4(cent, idx, fname_ini)
comments = 'cent=%s, eventid=%s, impact parameter=%s, nw=%s, npartons=%s' % (
cent, eid, imp_b, nwound, npartons)
write_config(cfg, comments)
visc.smear_from_p4x4(parton_list,
SIGR=0.6,
SIGZ=0.6,
KFACTOR=1.3,
force_bjorken=True)
visc.evolve(max_loops=4000,
save_hypersf=True,
save_bulk=True,
save_vorticity=False)
# test whether queue.finish() fix the opencl memory leak problem
visc.queue.finish()
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
def one_shot(fout, impact_parameter=7.8):
if not os.path.exists(fout):
os.makedirs(fout)
cfg.NX = 301
cfg.NY = 301
cfg.NZ = 121
cfg.DT = 0.005
cfg.DX = 0.08
cfg.DY = 0.08
cfg.DZ = 0.15
cfg.IEOS = 1
cfg.ntskip = 60
cfg.nxskip = 4
cfg.nyskip = 4
cfg.nzskip = 2
cfg.ImpactParameter = impact_parameter
cfg.Hwn = 0.95
cfg.TAU0 = 0.4
cfg.Edmax = 55.0
cfg.ETAOS = 0.20
cfg.fPathOut = fout
write_config(cfg)
t0 = time()
visc = CLVisc(cfg, gpu_id=2)
ini = Glauber(cfg,
visc.ctx,
visc.queue,
visc.compile_options,
visc.ideal.d_ev[1],
save_nbc=True)
#visc.create_ini_from_partons(fname_partons, SIGR=0.6, SIGZ=0.6, KFACTOR=1.2)
visc.evolve(max_loops=4000, save_hypersf=True, save_bulk=True)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
cwd = os.getcwd()
os.chdir('../CLSmoothSpec/build')
os.system('cmake -D VISCOUS_ON=ON ..')
os.system('make')
call(['./spec', fout])
os.chdir(cwd)
after_reso = '0'
call(['python', '../spec/main.py', fout, after_reso])
os.chdir(cwd)
def ebehydro(fpath, cent='0_5', etaos=0.12, gpu_id=0, system='pbpb2760', oneshot=False):
''' Run event_by_event hydro, with initial condition
from smearing on the particle list'''
fout = fpath
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 200
cfg.NY = 200
cfg.NZ = 121
cfg.DT = 0.02
cfg.DX = 0.16
cfg.DY = 0.16
cfg.DZ = 0.20
cfg.ntskip = 20
cfg.nxskip = 2
cfg.nyskip = 2
cfg.nzskip = 2
cfg.IEOS = 1
cfg.TAU0 = 0.6
cfg.fPathOut = fout
cfg.TFRZ = 0.120
#cfg.TFRZ = 0.100
cfg.ETAOS_XMIN = 0.154
cfg.ETAOS_YMIN = 0.15
cfg.ETAOS_RIGHT_SLOP = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.save_to_hdf5 = True
# for auau
if system == 'auau200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'au+au IP-Glasma'
collision = AuAu200()
scale_factor = 57.0
# for pbpb
elif system == 'pbpb2760':
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
comments = 'pb+pb IP-Glasma'
collision = PbPb2760()
scale_factor = 128.0
elif system == 'pbpb5020':
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
comments = 'pb+pb IP-Glasma'
collision = PbPb5020()
scale_factor = 151.0
elif system == 'xexe5440':
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
comments = 'xe+xe IP-Glasma'
collision = XeXe5440()
scale_factor = 145.0
grid_max = cfg.NX/2 * cfg.DX
fini = os.path.join(fout, 'trento_ini/')
if os.path.exists(fini):
call(['rm', '-r', fini])
# use more events for 0-80% than 0-5% to get one-shot initial condition
cent_min, cent_max = cent.split('_')
events_in_cent = 200 * (int(cent_max) - int(cent_min))
collision.create_ini(cent, fini, num_of_events=events_in_cent,
grid_max=grid_max, grid_step=cfg.DX,
one_shot_ini=oneshot, align_for_oneshot=True)
s = np.loadtxt(os.path.join(fini, 'one_shot_ini.dat'))
smax = s.max()
s_scale = s * scale_factor
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
ed = from_sd_to_ed(s_scale, visc.ideal.eos)
ev = np.zeros((cfg.NX*cfg.NY*cfg.NZ, 4), cfg.real)
# repeat the ed(x,y) NZ times
ev[:, 0] = np.repeat((ed.T).flatten(), cfg.NZ)
eta_max = cfg.NZ//2 * cfg.DZ
eta = np.linspace(-eta_max, eta_max, cfg.NZ)
heta = np.ones(cfg.NZ)
fall_off = np.abs(eta) > cfg.Eta_flat
eta_fall = np.abs(eta[fall_off])
heta[fall_off] = np.exp(-(eta_fall - cfg.Eta_flat)**2/(2.0*cfg.Eta_gw**2))
# apply the heta longitudinal distribution
ev[:, 0] *= np.tile(heta, cfg.NX * cfg.NY)
visc.ideal.load_ini(ev)
visc.evolve(max_loops=4000, save_hypersf=True, save_bulk=True, save_vorticity=False)
write_config(cfg, comments)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime = t1-t0))
viscous_on = "true"
if etaos < 0.0001: viscous_on = "false"
# get particle spectra from MC sampling and force decay
call(['python', '../pyvisc/spec.py', '--event_dir', cfg.fPathOut,
'--viscous_on', viscous_on, "--reso_decay", "true", "--nsampling", "2000",
'--mode', 'mc'])
# calc the smooth particle spectra
call(['python', '../pyvisc/spec.py', '--event_dir', cfg.fPathOut,
'--viscous_on', viscous_on, "--reso_decay", "false",
'--mode', 'smooth'])
class TestBjorken(unittest.TestCase):
def setUp(self):
cfg.NX = 8
cfg.NY = 8
cfg.NZ = 1
cfg.IEOS = 0
cfg.ETAOS_YMIN = 0.08
cfg.ETAOS_XMIN = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.ETAOS_RIGHT_SLOP = 0.0
self.visc = CLVisc(cfg)
self.ctx = self.visc.ideal.ctx
self.queue = self.visc.ideal.queue
def test_bjorken(self):
''' initialize with uniform energy density in (tau, x, y, eta) coordinates
to test the Bjorken expansion:
eps/eps0 = (tau/tau0)**(-4.0/3.0)
'''
kernel_src = """
# include "real_type.h"
//# include "eos_table.h"
__kernel void init_ev(global real4 * d_ev1,
// global real * d_pi1,
read_only image2d_t eos_table,
const int size) {
int gid = (int) get_global_id(0);
if ( gid < size ) {
d_ev1[gid] = (real4)(30.0f, 0.0f, 0.0f, 0.0f);
//real S0 = S(30.0f, eos_table);
//d_pi1[10*gid+9] = -4.0/3.0*ETAOS*S0/TAU0;
}
}
"""
cwd, cwf = os.path.split(__file__)
compile_options = ['-I %s' % os.path.join(cwd, '..', 'kernel')]
compile_options.append('-D USE_SINGLE_PRECISION')
compile_options.append('-D ETAOS=%sf' % cfg.ETAOS_YMIN)
compile_options.append('-D TAU0=%sf' % cfg.TAU0)
compile_options.append('-D S0=%sf' % self.visc.ideal.eos.f_S(30.0))
print(compile_options)
prg = cl.Program(self.ctx, kernel_src).build(' '.join(compile_options))
prg.init_ev(self.queue, (self.visc.ideal.size, ), None,
self.visc.ideal.d_ev[1], self.visc.eos_table,
np.int32(self.visc.ideal.size)).wait()
self.visc.evolve(max_loops=2000, save_bulk=False, save_hypersf=False)
history = np.array(self.visc.ideal.history)
tau, edmax = history[:, 0], history[:, 1]
a = tau[0] / tau
T0 = (edmax[0])**0.25
lhs = edmax**0.25 / T0
b = cfg.ETAOS_YMIN / tau[0] / 0.36 * 0.19732 * (1.0 - a**(2.0 / 3.0))
rhs = a**(1.0 / 3.0) * (1 + 2.0 / 3.0 * b)
import matplotlib.pyplot as plt
plt.plot(tau - tau[0], lhs, 'r-', label='CLVisc')
plt.plot(tau - tau[0], rhs, 'b--', label='Bjorken')
plt.text(2., 0.9, r'$\tau_0=0.6\ fm$')
plt.text(2., 0.82, r'$T_0=0.36\ GeV$')
plt.text(2., 0.74, r'$\eta/s=0.08$')
plt.xlabel(r'$\tau - \tau_0\ [fm]$')
plt.ylabel(r'$T/T_0$')
smash_style.set()
plt.legend(loc='best')
#plt.show()
plt.savefig('bjorken_visc.pdf')
class TestBjorken(unittest.TestCase):
def setUp(self):
cfg.NX = 1
cfg.NY = 1
cfg.NZ = 401
cfg.DZ = 0.05
cfg.DT = 0.01
cfg.TAU0 = 0.0
cfg.ntskip = 100
cfg.IEOS = 0
cfg.ETAOS_XMIN = 0.0
cfg.ETAOS_YMIN = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.ETAOS_RIGHT_SLOP = 0.0
cfg.save_to_hdf5 = False
cfg.riemann_test = True
def test_riemann(self):
''' initialize with step energy density in
(t, x, y, z) coordinates to test the riemann solution,
'''
z = np.linspace(-10, 10, cfg.NZ)
edv = np.zeros((cfg.NX * cfg.NY * cfg.NZ, 4), dtype=np.float32)
from gubser import Riemann
analytical_solution = Riemann(z, pressure_left=1.0)
#cfg.TAU0 = 1.0
self.visc = CLVisc(cfg)
self.ctx = self.visc.ctx
self.queue = self.visc.queue
ed_ini = analytical_solution.energy_density(cfg.TAU0)
vz_ini = analytical_solution.fluid_velocity(cfg.TAU0)
for i in range(cfg.NX):
for j in range(cfg.NY):
for k in range(cfg.NZ):
index = i * cfg.NY * cfg.NZ + j * cfg.NZ + k
edv[index, 0] = ed_ini[k]
edv[index, 3] = vz_ini[k]
self.visc.ideal.load_ini(edv)
self.visc.evolve(max_loops=1001,
plot_bulk=True,
save_hypersf=False,
force_run_to_maxloop=True)
bulk = self.visc.ideal.bulkinfo
import matplotlib.pyplot as plt
import h5py
h5 = h5py.File('riemann_ideal.h5', 'w')
h5.create_dataset('z', data=z)
nstep = 10
tau_list = np.empty(nstep)
cs2 = 1.0 / 3.0
for i in range(nstep):
h5.create_dataset('clvisc/ed/%s' % i, data=bulk.ez[i])
h5.create_dataset('clvisc/pr/%s' % i, data=bulk.ez[i] * cs2)
h5.create_dataset('clvisc/vz/%s' % i, data=bulk.vz[i])
h5.create_dataset('riemann/ed/%s' % i,
data=analytical_solution.energy_density(i))
h5.create_dataset('riemann/pr/%s' % i,
data=analytical_solution.pressure(i))
h5.create_dataset('riemann/vz/%s' % i,
data=analytical_solution.fluid_velocity(i))
tau = cfg.TAU0 + i * cfg.ntskip * cfg.DT
tau_list[i] = tau
h5.create_dataset('tau', data=tau_list)
h5.close()
for i in [0, 2, 4, 8]:
plt.plot(z, bulk.ez[i] / 3.0, '--')
ez = analytical_solution.pressure(i)
plt.plot(z, ez)
plt.text(-i, 0.9, r'$\tau=%s\ [fm]$' % i)
plt.ylim(-0.5, 1.5)
plt.xlabel(r'$z\ [fm]$')
plt.ylabel(r'$\varepsilon$')
smash_style.set(line_styles=False)
plt.savefig('riemann_ed.pdf')
plt.close()
for i in [0, 2, 4, 8]:
plt.plot(z, bulk.vz[i], '--')
vz = analytical_solution.fluid_velocity(i)
plt.plot(z, vz)
plt.text(i, 0.9, r'$\tau=%s\ [fm]$' % i)
plt.ylim(-0.5, 1.5)
plt.xlabel(r'$z\ [fm]$')
plt.ylabel(r'$v_z$')
smash_style.set(line_styles=False)
plt.savefig('riemann_vz.pdf')
plt.close()
def pbpb_collisions(fout,
cent_min=0,
cent_max=5,
edmax=85,
idx=0,
etaos=0.0,
gpu_id=3):
''' Run event_by_event hydro, with initial condition
from smearing on the particle list'''
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 361
cfg.NY = 361
cfg.NZ = 121
cfg.SQRT = 2760
cfg.DT = 0.01
cfg.DX = 0.08
cfg.DY = 0.08
cfg.DZ = 0.15
cfg.IEOS = 1
cfg.TFRZ = 0.137
cfg.A = 208
cfg.Ra = 6.62
cfg.Edmax = edmax
cfg.Eta = 0.546
cfg.Si0 = 6.4
cfg.ImpactParameter = 2.65
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
cfg.ntskip = 30
cfg.nxskip = 4
cfg.nyskip = 4
cfg.nzskip = 2
cfg.Hwn = 0.95
cfg.TAU0 = 0.6
cfg.ETAOS = etaos
cfg.fPathOut = fout
cfg.save_to_hdf5 = True
comments = 'pb+pb test, cent_min=%s, cent_max=%s, etaos=%s' % (
cent_min, cent_max, etaos)
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
visc.optical_glauber_ini(system='Pb+Pb',
cent_min=cent_min,
cent_max=cent_max,
save_binary_collisions=True)
visc.evolve(max_loops=4000,
save_hypersf=True,
save_bulk=True,
save_vorticity=False)
write_config(cfg, comments)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
def ebehydro(fpath,
cent='0_5',
etaos=0.12,
gpu_id=0,
system='pbpb2760',
boost_invariance=True,
oneshot=True):
''' Run event_by_event hydro, with initial condition
from smearing on the particle list'''
fout = fpath
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 66
cfg.NY = 66
cfg.NZ = 67
cfg.DT = 0.02
cfg.DX = 0.3
cfg.DY = 0.3
cfg.DZ = 0.3
cfg.ntskip = 10
cfg.nxskip = 4
cfg.nyskip = 4
cfg.nzskip = 2
#cfg.eos_type = 'hotqcd2014'
cfg.eos_type = 'lattice_pce165'
cfg.TAU0 = 0.6
cfg.fPathOut = fout
cfg.TFRZ = 0.137
cfg.ETAOS_XMIN = 0.16
cfg.ETAOS_YMIN = 0.16
cfg.ETAOS_RIGHT_SLOP = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.save_to_hdf5 = True
# for auau
if system == 'auau200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'au+au IP-Glasma'
collision = AuAu200()
scale_factor = 57.0
elif system == 'RuRu200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Ru+Ru IP-Glasma'
collision = RuRu200()
scale_factor = 57.0
elif system == 'Ru2Ru2200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Ru2+Ru2 IP-Glasma'
collision = Ru2Ru2200()
scale_factor = 57.0
elif system == 'Ru3Ru3200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Ru3+Ru3 IP-Glasma'
collision = Ru3Ru3200()
scale_factor = 57.0
elif system == 'ZrZr200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Zr+Zr IP-Glasma'
collision = RuRu200()
scale_factor = 57.0
elif system == 'Zr2Zr2200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Zr2+Zr2 IP-Glasma'
collision = Ru2Ru2200()
scale_factor = 57.0
elif system == 'Zr3Zr3200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'Zr3+Zr3 IP-Glasma'
collision = Ru3Ru3200()
scale_factor = 57.0
elif system == 'Xe2Xe25440':
comments = 'Xe2+Xe2'
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.23
collision = Xe2Xe25440()
scale_factor = 155.0 #one_shot
elif system == 'OO6500':
comments = 'O+O'
cfg.Eta_gw = 2.0
cfg.Eta_flat = 1.7
collision = OO6500()
scale_factor = 180.0 #180.0 one_shot
elif system == 'ArAr5850':
comments = 'Ar+Ar'
cfg.Eta_gw = 2.0
cfg.Eta_flat = 1.7
collision = ArAr5850()
scale_factor = 160.0 #160 one_shot
# for pbpb
else:
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
comments = 'pb+pb IP-Glasma'
if system == 'pbpb2760':
collision = PbPb2760()
scale_factor = 130 #118.0 #130.0 one_shot
elif system == 'pbpb5020':
cfg.Eta_gw = 2.0
cfg.Eta_flat = 1.7
collision = PbPb5020()
scale_factor = 155.0 #one_shot
grid_max = np.floor(cfg.NX / 2) * cfg.DX
eta_max = np.floor(cfg.NZ / 2) * cfg.DZ
fini = os.path.join(fout, 'trento_ini/')
if os.path.exists(fini):
call(['rm', '-r', fini])
ev = np.zeros((cfg.NX * cfg.NY * cfg.NZ, 4), cfg.real)
if boost_invariance:
print("################# run Trento 2D ###################")
cwd = os.getcwd()
os.chdir("../3rdparty/trento_with_participant_plane/build/src/")
if oneshot:
print("################# oneshot ###################")
collision.create_ini(cent,
fini,
num_of_events=100,
grid_max=grid_max,
grid_step=cfg.DX,
one_shot_ini=oneshot)
s = np.loadtxt(os.path.join(fini, 'one_shot_ini.dat'))
else:
collision.create_ini(cent,
fini,
num_of_events=1,
grid_max=grid_max,
grid_step=cfg.DX,
one_shot_ini=oneshot)
s = np.loadtxt(os.path.join(fini, '0.dat'))
os.chdir(cwd)
smax = s.max()
s_scale = s * scale_factor
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
ed = from_sd_to_ed(s_scale, visc.ideal.eos)
# repeat the ed(x,y) NZ times
ev[:, 0] = np.repeat((ed.T).flatten(), cfg.NZ)
eta_max = cfg.NZ // 2 * cfg.DZ
eta = np.linspace(-eta_max, eta_max, cfg.NZ)
heta = np.ones(cfg.NZ)
fall_off = np.abs(eta) > cfg.Eta_flat
eta_fall = np.abs(eta[fall_off])
heta[fall_off] = np.exp(-(eta_fall - cfg.Eta_flat)**2 /
(2.0 * cfg.Eta_gw**2))
# apply the heta longitudinal distribution
ev[:, 0] *= np.tile(heta, cfg.NX * cfg.NY)
else:
print("################# run Trento 3D ###################", system)
cwd = os.getcwd()
os.chdir("../3rdparty/trento3d-master/build/src/")
if oneshot:
print("################# oneshot ###################")
collision.create_ini3D(cent,
fini,
num_of_events=100,
grid_max=grid_max,
grid_step=cfg.DX,
eta_max=eta_max,
eta_step=cfg.DZ,
one_shot_ini=oneshot)
s = np.loadtxt(os.path.join(fini, 'one_shot_ini.dat'))
else:
collision.create_ini3D(cent,
fini,
num_of_events=1,
grid_max=grid_max,
grid_step=cfg.DX,
eta_max=eta_max,
eta_step=cfg.DZ,
one_shot_ini=oneshot)
s = np.loadtxt(os.path.join(fini, '0.dat'))
os.chdir(cwd)
smax = s.max()
s_scale = s * scale_factor
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
ed = from_sd_to_ed(s_scale, visc.ideal.eos)
ed = ed.reshape((cfg.NY, cfg.NX, cfg.NZ))
ev[:, 0] = ed.transpose((1, 0, 2)).flatten()
visc.ideal.load_ini(ev)
visc.evolve(max_loops=4000,
save_hypersf=True,
save_bulk=True,
save_vorticity=False)
write_config(cfg, comments)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
# get particle spectra from MC sampling and force decay
call([
'python', 'spec.py', '--event_dir', cfg.fPathOut, '--viscous_on',
"true", "--reso_decay", "true", "--nsampling", "2000", '--mode', 'mc'
])
def event_by_event(fout,
cent='30_35',
idx=0,
etaos=0.0,
system='auau200',
fname_ini='/lustre/nyx/hyihp/lpang/hdf5_data/auau39.h5',
gpu_id=3,
switch_off_longitudinal_fluctuations=False,
force_bjorken=False,
eos_type="lattice_pce150"):
''' Run event_by_event hydro, with initial condition from smearing on the particle list'''
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 201
cfg.NY = 201
cfg.NZ = 121
cfg.DT = 0.01
cfg.DX = 0.16
cfg.DY = 0.16
cfg.DZ = 0.16
cfg.ntskip = 32
cfg.nzskip = 2
cfg.nxskip = 2
cfg.nyskip = 2
#cfg.NX = 301
#cfg.NY = 301
#cfg.NZ = 51
#cfg.DT = 0.005
#cfg.DX = 0.1
#cfg.DY = 0.1
#cfg.DZ = 0.2
cfg.eos_type = eos_type
#cfg.TFRZ = 0.110
#cfg.TFRZ = 0.105
#cfg.TFRZ = 0.137
cfg.TFRZ = 0.100
cfg.TAU0 = 0.4
if system == 'pbpb2p76':
cfg.TAU0 = 0.2
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
elif system == 'auau200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
#cfg.ETAOS = etaos
cfg.ETAOS_XMIN = 0.154
cfg.ETAOS_YMIN = etaos
cfg.ETAOS_RIGHT_SLOP = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.fPathOut = fout
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
parton_list, eid, imp_b, nwound, npartons = read_p4x4(cent, idx, fname_ini)
comments = 'cent=%s, eventid=%s, impact parameter=%s, nw=%s, npartons=%s' % (
cent, eid, imp_b, nwound, npartons)
write_config(cfg, comments)
if force_bjorken:
if cfg.eos_type == "lattice_pce150":
# KFACTOR=1.4 for etaos = 0.08; KFACTOR = 1.2 for etaos=0.16
visc.smear_from_p4x4(parton_list,
SIGR=0.6,
SIGZ=0.6,
KFACTOR=1.2,
force_bjorken=True)
elif cfg.eos_type == "first_order":
visc.smear_from_p4x4(parton_list,
SIGR=0.6,
SIGZ=0.6,
KFACTOR=0.8,
force_bjorken=True)
elif switch_off_longitudinal_fluctuations:
heta = create_longitudinal_profile(cfg)
visc.smear_from_p4x4(parton_list,
SIGR=0.6,
SIGZ=0.6,
KFACTOR=1.4,
longitudinal_profile=heta)
else:
if etaos >= 0.16:
visc.smear_from_p4x4(parton_list, SIGR=0.6, SIGZ=0.6, KFACTOR=1.2)
elif etaos >= 0.08:
visc.smear_from_p4x4(parton_list, SIGR=0.6, SIGZ=0.6, KFACTOR=1.4)
else:
visc.smear_from_p4x4(parton_list, SIGR=0.6, SIGZ=0.6, KFACTOR=1.5)
visc.evolve(max_loops=4000,
save_hypersf=True,
save_bulk=True,
save_vorticity=True)
# test whether queue.finish() fix the opencl memory leak problem
visc.queue.finish()
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
def ebehydro(fpath,
cent='0_5',
etaos=0.12,
gpu_id=0,
system='pbpb2760',
oneshot=False):
''' Run event_by_event hydro, with initial condition
from smearing on the particle list'''
fout = fpath
if not os.path.exists(fout):
os.mkdir(fout)
cfg.NX = 200
cfg.NY = 200
cfg.NZ = 121
cfg.DT = 0.02
cfg.DX = 0.16
cfg.DY = 0.16
cfg.DZ = 0.20
cfg.ntskip = 20
cfg.nxskip = 2
cfg.nyskip = 2
cfg.nzskip = 2
cfg.eos_type = 'lattice_pce150'
cfg.TAU0 = 0.6
cfg.fPathOut = fout
#cfg.TFRZ = 0.137
cfg.TFRZ = 0.100
cfg.ETAOS_XMIN = 0.154
cfg.ETAOS_YMIN = 0.15
cfg.ETAOS_RIGHT_SLOP = 0.0
cfg.ETAOS_LEFT_SLOP = 0.0
cfg.save_to_hdf5 = True
# for auau
if system == 'auau200':
cfg.Eta_gw = 1.3
cfg.Eta_flat = 1.5
comments = 'au+au IP-Glasma'
collision = AuAu200()
scale_factor = 57.0
# for pbpb
else:
cfg.Eta_gw = 1.8
cfg.Eta_flat = 2.0
comments = 'pb+pb IP-Glasma'
if system == 'pbpb2760':
collision = PbPb2760()
scale_factor = 128.0
elif system == 'pbpb5020':
collision = PbPb5020()
scale_factor = 151.0
grid_max = cfg.NX / 2 * cfg.DX
fini = os.path.join(fout, 'trento_ini/')
if os.path.exists(fini):
call(['rm', '-r', fini])
collision.create_ini(cent,
fini,
num_of_events=1,
grid_max=grid_max,
grid_step=cfg.DX,
one_shot_ini=oneshot)
if oneshot:
s = np.loadtxt(os.path.join(fini, 'one_shot_ini.dat'))
else:
s = np.loadtxt(os.path.join(fini, '0.dat'))
smax = s.max()
s_scale = s * scale_factor
t0 = time()
visc = CLVisc(cfg, gpu_id=gpu_id)
ed = from_sd_to_ed(s_scale, visc.ideal.eos)
ev = np.zeros((cfg.NX * cfg.NY * cfg.NZ, 4), cfg.real)
# repeat the ed(x,y) NZ times
ev[:, 0] = np.repeat((ed.T).flatten(), cfg.NZ)
eta_max = cfg.NZ // 2 * cfg.DZ
eta = np.linspace(-eta_max, eta_max, cfg.NZ)
heta = np.ones(cfg.NZ)
fall_off = np.abs(eta) > cfg.Eta_flat
eta_fall = np.abs(eta[fall_off])
heta[fall_off] = np.exp(-(eta_fall - cfg.Eta_flat)**2 /
(2.0 * cfg.Eta_gw**2))
# apply the heta longitudinal distribution
ev[:, 0] *= np.tile(heta, cfg.NX * cfg.NY)
visc.ideal.load_ini(ev)
visc.evolve(max_loops=4000,
save_hypersf=True,
save_bulk=True,
save_vorticity=False)
write_config(cfg, comments)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
cwd = os.getcwd()
os.chdir('../sampler/mcspec/')
viscous_on = 'true'
after_reso = 'true'
nsampling = '2000'
call(['python', 'sampler.py', fout, viscous_on, after_reso, nsampling])
os.chdir(cwd)
#from create_table import create_table_for_jet
#create_table_for_jet(fout, visc.ideal.eos)
os.chdir('../CLSmoothSpec/build')
#os.system('cmake -D VISCOUS_ON=ON ..')
#os.system('make')
call(['./spec', fpath])
os.chdir(cwd)
after_reso = '0'
call(['python', '../spec/main.py', fpath, after_reso])
def one_shot(fout,
impact_parameter=7.8,
etaos=0.0,
with_eloss=False,
gpuid=2,
eventid=0):
if not os.path.exists(fout):
os.makedirs(fout)
cfg.NX = 301
cfg.NY = 301
cfg.NZ = 121
cfg.DT = 0.005
cfg.DX = 0.08
cfg.DY = 0.08
cfg.DZ = 0.15
cfg.IEOS = 1
cfg.ntskip = 60
cfg.nxskip = 4
cfg.nyskip = 4
cfg.nzskip = 2
cfg.ImpactParameter = impact_parameter
cfg.Hwn = 0.95
cfg.TAU0 = 0.4
cfg.Edmax = 55.0
cfg.ETAOS_YMIN = etaos
cfg.fPathOut = fout
write_config(cfg)
t0 = time()
visc = CLVisc(cfg, gpu_id=gpuid)
ini = Glauber(cfg,
visc.ctx,
visc.queue,
visc.compile_options,
visc.ideal.d_ev[1],
save_nbc=True)
if with_eloss:
jet_eloss_src = {
'switch_on': True,
'start_pos_index': random_pos_index[eventid],
'direction': random_angles[eventid]
}
else:
jet_eloss_src = {
'switch_on': False,
'start_pos_index': random_pos_index[eventid],
'direction': random_angles[eventid]
}
visc.evolve(max_loops=2500,
save_hypersf=True,
save_bulk=True,
jet_eloss_src=jet_eloss_src,
force_run_to_maxloop=True)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime=t1 - t0))
cwd = os.getcwd()
os.chdir('../CLSmoothSpec/build')
os.system('cmake -D VISCOUS_ON=ON ..')
os.system('make')
call(['./spec', fout])
os.chdir(cwd)
after_reso = '0'
call(['python', '../spec/main.py', fout, after_reso])
os.chdir(cwd)
cfg.sz_real8 = array.vec.float8.itemsize
else :
cfg.real = np.float64
cfg.real4 = array.vec.double4
cfg.real8 = array.vec.double8
cfg.sz_real = np.dtype('float64').itemsize #==sizeof(double) in c
cfg.sz_real4= array.vec.double4.itemsize
cfg.sz_real8= array.vec.double8.itemsize
visc = CLVisc(cfg, gpu_id=cfg.GPU_ID)
if cfg.initial_condition == 'Glauber':
visc.optical_glauber_ini()
visc.evolve(max_loops=2000, save_hypersf=True, save_bulk=False,
force_run_to_maxloop=False, save_vorticity=False)
t1 = time()
print('finished. Total time: {dtime}'.format(dtime = t1-t0), file=sys.stdout)
from subprocess import call
# get particle spectra from MC sampling and force decay
call(['python', 'spec.py', '--event_dir', cfg.fPathOut,
'--viscous_on', "false", "--reso_decay", "true", "--nsampling", "2000",
'--mode', 'mc'])
# calc the smooth particle spectra
call(['python', 'spec.py', '--event_dir', cfg.fPathOut,
'--viscous_on', "false", "--reso_decay", "false",
'--mode', 'smooth'])
cfg.save_to_hdf5 = False
cfg.THETA = 1.8
visc = CLVisc(cfg, gpu_id=3)
ctx = visc.ctx
queue = visc.queue
CreateIni(ctx, queue, visc.ideal.d_ev[1], visc.d_pi[1], tau=cfg.TAU0, L=L, lam1=Lam,
NX=cfg.NX, NY=cfg.NY, NZ=cfg.NZ, DX=cfg.DX, DY=cfg.DY, DZ=cfg.DZ)
CreateIni(ctx, queue, visc.ideal.d_ev[2], visc.d_pi[2], tau=cfg.TAU0 + cfg.DT, L=L, lam1=Lam,
NX=cfg.NX, NY=cfg.NY, NZ=cfg.NZ, DX=cfg.DX, DY=cfg.DY, DZ=cfg.DZ)
visc.update_udiff(visc.ideal.d_ev[1], visc.ideal.d_ev[2])
visc.evolve(max_loops=2000, force_run_to_maxloop=True, save_bulk=False,
plot_bulk=True, save_hypersf=False, save_pi=True)
bulk = visc.ideal.bulkinfo
pimn = visc.pimn_info
xcent = cfg.NX//2
import h5py
h5 = h5py.File('gubser_visc_L2.h5', 'w')
h5.attrs['lam'] = Lam
h5.attrs['L'] = L
h5.attrs['eta_over_s'] = cfg.ETAOS_YMIN
h5.attrs['DT'] = cfg.DT
h5.attrs['DX'] = cfg.DX
h5.attrs['DY'] = cfg.DY
h5.attrs['NX'] = cfg.NX