def run_ph4(infile=None, number_of_stars=40, end_time=10 | nbody_system.time, delta_t=1 | nbody_system.time, n_workers=1, use_gpu=1, gpu_worker=1, gpu_id=-1, accuracy_parameter=0.1, softening_length=-1 | nbody_system.length, manage_encounters=1): if infile != None: print "input file =", infile print "end_time =", end_time.number print "delta_t =", delta_t.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "manage_encounters =", manage_encounters print "\ninitializing the gravity module" sys.stdout.flush() # Note that there are actually three GPU options to test: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) #print "1"; sys.stdout.flush() gpu = 0 if gpu_worker == 1: try: gravity = grav(number_of_workers=n_workers, redirection="none", mode="gpu") # debugger='valgrind') gpu = 1 except Exception as ex: print '*** GPU worker code not found. Reverting to non-GPU code. ***' gpu = 0 if gpu == 0: gravity = grav(number_of_workers=n_workers, redirection="none") # debugger='valgrind') #print "2"; sys.stdout.flush() gravity.initialize_code() #print "3"; sys.stdout.flush() gravity.parameters.set_defaults() gravity.parameters.gpu_id = gpu_id #----------------------------------------------------------------- #print "4"; sys.stdout.flush() if infile == None: print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id + 1 print "setting particle masses and radii" stars.mass = (1.0 / number_of_stars) | nbody_system.mass if 0: scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass stars.radius = 0.0 | nbody_system.length print "centering stars" stars.move_to_center() if 0: print "scaling stars to virial equilibrium" stars.scale_to_standard( smoothing_length_squared=gravity.parameters.epsilon_squared) time = 0.0 | nbody_system.time sys.stdout.flush() else: # Read the input data. Units are dynamical. print "reading file", infile id = [] mass = [] pos = [] vel = [] f = open(infile, 'r') count = 0 for line in f: if len(line) > 0: count += 1 cols = line.split() if count == 1: snap = int(cols[0]) elif count == 2: number_of_stars = int(cols[0]) elif count == 3: time = float(cols[0]) | nbody_system.time else: if len(cols) >= 8: id.append(int(cols[0])) mass.append(float(cols[1])) pos.append( (float(cols[2]), float(cols[3]), float(cols[4]))) vel.append( (float(cols[5]), float(cols[6]), float(cols[7]))) f.close() stars = datamodel.Particles(number_of_stars) stars.id = id stars.mass = mass | nbody_system.mass stars.position = pos | nbody_system.length stars.velocity = vel | nbody_system.speed stars.radius = 0. | nbody_system.length # print "IDs:", stars.id.number sys.stdout.flush() #----------------------------------------------------------------- #print "5"; sys.stdout.flush() if softening_length == -1 | nbody_system.length: eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length * softening_length #print "6"; sys.stdout.flush() gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu gravity.parameters.manage_encounters = manage_encounters print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars print "evolving to time =", end_time.number, \ "in steps of", delta_t.number sys.stdout.flush() E0, cpu0, wall0 = print_log('', time, gravity) # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() while time < end_time: time += delta_t gravity.evolve_model(time) # Ensure that the stars list is consistent with the internal # data in the module. ls = len(stars) # Update the bookkeeping: synchronize stars with the module data. try: gravity.update_particle_set() gravity.particles.synchronize_to(stars) except: pass # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") if stopping_condition.is_set(): star1 = stopping_condition.particles(0)[0] star2 = stopping_condition.particles(1)[0] print '\nstopping condition set at time', \ gravity.get_time().number,'for:\n' print star1 print '' print star2 print '' raise Exception("no encounter handling") if len(stars) != ls: if 0: print "stars:" for s in stars: print " ", s.id.number, s.mass.number, \ s.x.number, s.y.number, s.z.number else: print "number of stars =", len(stars) sys.stdout.flush() print_log('', time, gravity, E0, cpu0, wall0) sys.stdout.flush() print '' gravity.stop()
def run_ph4(infile = None, outfile = None, number_of_stars = 100, number_of_binaries = 0, end_time = 10 | nbody_system.time, delta_t = 1 | nbody_system.time, n_workers = 1, use_gpu = 1, gpu_worker = 1, salpeter = 0, accuracy_parameter = 0.1, softening_length = 0.0 | nbody_system.length, manage_encounters = 1, random_seed = 1234): if random_seed <= 0: numpy.random.seed() random_seed = numpy.random.randint(1, pow(2,31)-1) numpy.random.seed(random_seed) print "random seed =", random_seed if infile != None: print "input file =", infile print "end_time =", end_time.number print "delta_t =", delta_t.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "manage_encounters =", manage_encounters print "\ninitializing the gravity module" sys.stdout.flush() init_smalln() # Note that there are actually three GPU options: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers = n_workers, redirection = "none", mode = "gpu") except Exception as ex: gravity = grav(number_of_workers = n_workers, redirection = "none") else: gravity = grav(number_of_workers = n_workers, redirection = "none") gravity.initialize_code() gravity.parameters.set_defaults() #----------------------------------------------------------------- if infile == None: print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id+1 print "setting particle masses and radii" if salpeter == 0: print 'equal masses' total_mass = 1.0 | nbody_system.mass scaled_mass = total_mass / number_of_stars else: print 'salpeter mass function' scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass print "centering stars" stars.move_to_center() print "scaling stars to virial equilibrium" stars.scale_to_standard(smoothing_length_squared = gravity.parameters.epsilon_squared) else: # Read the input data. Units are dynamical (sorry). # Format: id mass pos[3] vel[3] print "reading file", infile id = [] mass = [] pos = [] vel = [] f = open(infile, 'r') count = 0 for line in f: if len(line) > 0: count += 1 cols = line.split() if count == 1: snap = int(cols[0]) elif count == 2: number_of_stars = int(cols[0]) elif count == 3: time = float(cols[0]) | nbody_system.time else: if len(cols) >= 8: id.append(int(cols[0])) mass.append(float(cols[1])) pos.append((float(cols[2]), float(cols[3]), float(cols[4]))) vel.append((float(cols[5]), float(cols[6]), float(cols[7]))) f.close() stars = datamodel.Particles(number_of_stars) stars.id = id stars.mass = mass | nbody_system.mass stars.position = pos | nbody_system.length stars.velocity = vel | nbody_system.speed #stars.radius = 0. | nbody_system.length total_mass = stars.mass.sum() ke = pa.kinetic_energy(stars) kT = ke/(1.5*number_of_stars) if number_of_binaries > 0: # Turn selected stars into binary components. # Only tested for equal-mass case. kep = Kepler(redirection = "none") kep.initialize_code() added_mass = 0.0 | nbody_system.mass # Work with energies rather than semimajor axes. Emin = 10*kT Emax = 20*kT ecc = 0.1 id_count = number_of_stars nbin = 0 for i in range(0, number_of_stars, number_of_stars/number_of_binaries): # Star i is CM, becomes component, add other star at end. nbin += 1 mass = stars[i].mass new_mass = numpy.random.uniform()*mass # uniform q? mbin = mass + new_mass fac = new_mass/mbin E = Emin + numpy.random.uniform()*(Emax-Emin) a = 0.5*nbody_system.G*mass*new_mass/E kep.initialize_from_elements(mbin, a, ecc) dr = quantities.AdaptingVectorQuantity() dr.extend(kep.get_separation_vector()) dv = quantities.AdaptingVectorQuantity() dv.extend(kep.get_velocity_vector()) newstar = datamodel.Particles(1) newstar.mass = new_mass newstar.position = stars[i].position + (1-fac)*dr newstar.velocity = stars[i].velocity + (1-fac)*dv # stars[i].mass = mass stars[i].position = stars[i].position - fac*dr stars[i].velocity = stars[i].velocity - fac*dv id_count += 1 newstar.id = id_count stars.add_particles(newstar) added_mass += new_mass if nbin >= number_of_binaries: break kep.stop() print 'created', nbin, 'binaries' sys.stdout.flush() stars.mass = stars.mass * total_mass/(total_mass+added_mass) number_of_stars += nbin # Set dynamical radii (assuming virial equilibrium and standard # units). Note that this choice should be refined, and updated # as the system evolves. Probably the choice of radius should be # made entirely in the multiples module. TODO. In these units, # M = 1 and <v^2> = 0.5, so the mean 90-degree turnaround impact # parameter is # # b_90 = G (m_1+m_2) / vrel^2 # = 2 <m> / 2<v^2> # = 2 / N for equal masses # # Taking r_i = m_i / 2<v^2> = m_i in virial equilibrium means # that, approximately, "contact" means a 90-degree deflection (r_1 # + r_2 = b_90). A more conservative choice with r_i less than # this value will isolates encounters better, but also place more # load on the large-N dynamical module. stars.radius = stars.mass.number | nbody_system.length time = 0.0 | nbody_system.time # print "IDs:", stars.id.number print "recentering stars" stars.move_to_center() sys.stdout.flush() #----------------------------------------------------------------- if softening_length < 0.0 | nbody_system.length: # Use ~interparticle spacing. Assuming standard units here. TODO eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length*softening_length print 'softening length =', eps2.sqrt() gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu # gravity.parameters.manage_encounters = manage_encounters print '' print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars print "evolving to time =", end_time.number, \ "in steps of", delta_t.number sys.stdout.flush() # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() # Debugging: prevent the multiples code from being called. if 0: stopping_condition.disable() print 'stopping condition disabled' sys.stdout.flush() # ----------------------------------------------------------------- # Create the coupled code and integrate the system to the desired # time, managing interactions internally. kep = init_kepler(stars[0], stars[1]) multiples_code = multiples.Multiples(gravity, new_smalln, kep) multiples_code.neighbor_perturbation_limit = 0.1 #multiples_code.neighbor_distance_factor = 1.0 #multiples_code.neighbor_veto = False #multiples_code.neighbor_distance_factor = 2.0 multiples_code.neighbor_veto = True print '' print 'multiples_code.initial_scale_factor =', \ multiples_code.initial_scale_factor print 'multiples_code.neighbor_perturbation_limit =', \ multiples_code.neighbor_perturbation_limit print 'multiples_code.neighbor_veto =', \ multiples_code.neighbor_veto print 'multiples_code.final_scale_factor =', \ multiples_code.final_scale_factor print 'multiples_code.initial_scatter_factor =', \ multiples_code.initial_scatter_factor print 'multiples_code.final_scatter_factor =', \ multiples_code.final_scatter_factor print 'multiples_code.retain_binary_apocenter =', \ multiples_code.retain_binary_apocenter print 'multiples_code.wide_perturbation_limit =', \ multiples_code.wide_perturbation_limit pre = "%%% " E0,cpu0 = print_log(pre, time, multiples_code) while time < end_time: time += delta_t multiples_code.evolve_model(time) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") print_log(pre, time, multiples_code, E0, cpu0) sys.stdout.flush() #----------------------------------------------------------------- if not outfile == None: # Write data to a file. f = open(outfile, 'w') #-------------------------------------------------- # Need to save top-level stellar data and parameters. # Need to save multiple data and parameters. f.write('%.15g\n'%(time.number)) for s in multiples_code.stars: write_star(s, f) #-------------------------------------------------- f.close() print 'wrote file', outfile print '' gravity.stop()
def make_nbody(number_of_stars=100, time=0.0, n_workers=1, use_gpu=1, gpu_worker=1, salpeter=0, delta_t=1.0 | nbody_system.time, timestep_parameter=0.1, softening_length=0.0 | nbody_system.length, random_seed=1234): # Make an N-body system, print out some statistics on it, and save # it in a restart file. The restart file name is of the form # 't=nnnn.n.xxx', where the default time is 0.0. if random_seed <= 0: numpy.random.seed() random_seed = numpy.random.randint(1, pow(2, 31) - 1) numpy.random.seed(random_seed) print "random seed =", random_seed init_smalln() # Note that there are actually three GPU options: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers=n_workers, redirection="none", mode="gpu") except Exception as ex: gravity = grav(number_of_workers=n_workers, redirection="none") else: gravity = grav(number_of_workers=n_workers, redirection="none") gravity.initialize_code() gravity.parameters.set_defaults() #----------------------------------------------------------------- # Make a standard N-body system. print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id + 1 print "setting particle masses and radii" if salpeter == 0: print 'equal masses' total_mass = 1.0 | nbody_system.mass scaled_mass = total_mass / number_of_stars else: print 'salpeter mass function' mmin = 0.5 | nbody_system.mass mmax = 10.0 | nbody_system.mass scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars, mass_min=mmin, mass_max=mmax) stars.mass = scaled_mass print "centering stars" stars.move_to_center() print "scaling stars to virial equilibrium" stars.scale_to_standard( smoothing_length_squared=gravity.parameters.epsilon_squared) # Set dynamical radii (assuming virial equilibrium and standard # units). Note that this choice should be refined, and updated # as the system evolves. Probably the choice of radius should be # made entirely in the multiples module. TODO. In these units, # M = 1 and <v^2> = 0.5, so the mean 90-degree turnaround impact # parameter is # # b_90 = G (m_1+m_2) / vrel^2 # = 2 <m> / 2<v^2> # = 2 / N for equal masses # # Taking r_i = m_i / 2<v^2> = m_i in virial equilibrium means # that, approximately, "contact" means a 90-degree deflection (r_1 # + r_2 = b_90). A more conservative choice with r_i less than # this value will isolate encounters better, but also place more # load on the large-N dynamical module. stars.radius = 0.5 * stars.mass.number | nbody_system.length time = 0.0 | nbody_system.time # print "IDs:", stars.id.number print "recentering stars" stars.move_to_center() sys.stdout.flush() #----------------------------------------------------------------- if softening_length < 0.0 | nbody_system.length: # Use ~interparticle spacing. Assuming standard units here. TODO softening_length = 0.5*float(number_of_stars)**(-0.3333333) \ | nbody_system.length print 'softening length =', softening_length gravity.parameters.timestep_parameter = timestep_parameter gravity.parameters.epsilon_squared = softening_length * softening_length gravity.parameters.use_gpu = use_gpu print '' print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars sys.stdout.flush() # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() # ----------------------------------------------------------------- # Create the coupled code and integrate the system to the desired # time, managing interactions internally. kep = init_kepler(stars[0], stars[1]) multiples_code = multiples.Multiples(gravity, new_smalln, kep) multiples_code.neighbor_perturbation_limit = 0.1 multiples_code.neighbor_veto = True print '' print 'multiples_code.initial_scale_factor =', \ multiples_code.initial_scale_factor print 'multiples_code.neighbor_perturbation_limit =', \ multiples_code.neighbor_perturbation_limit print 'multiples_code.neighbor_veto =', \ multiples_code.neighbor_veto print 'multiples_code.final_scale_factor =', \ multiples_code.final_scale_factor print 'multiples_code.initial_scatter_factor =', \ multiples_code.initial_scatter_factor print 'multiples_code.final_scatter_factor =', \ multiples_code.final_scatter_factor print 'multiples_code.retain_binary_apocenter =', \ multiples_code.retain_binary_apocenter print 'multiples_code.wide_perturbation_limit =', \ multiples_code.wide_perturbation_limit # Take a dummy step, just in case... multiples_code.evolve_model(time) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") pre = "%%% " E0, cpu0 = print_log(pre, time, multiples_code) sys.stdout.flush() # file = 't='+'{:07.2f}'.format(time.number) # fails in Python 2.6 file = 't=%07.2f' % time.number write_state_to_file(time, stars, gravity, multiples_code, file, delta_t, E0, cpu0) tree_copy = multiples_code.root_to_tree.copy() del multiples_code sys.stdout.flush() gravity.stop() kep.stop() stop_smalln() print ''
def run_ph4(infile=None, number_of_stars=40, end_time=10 | nbody_system.time, delta_t=1 | nbody_system.time, n_workers=1, use_gpu=1, gpu_worker=1, accuracy_parameter=0.1, softening_length=-1 | nbody_system.length, manage_encounters=1, random_seed=1234): if random_seed <= 0: numpy.random.seed() random_seed = numpy.random.randint(1, pow(2, 31) - 1) numpy.random.seed(random_seed) print("random seed =", random_seed) if infile != None: print("input file =", infile) print("end_time =", end_time.number) print("delta_t =", delta_t.number) print("n_workers =", n_workers) print("use_gpu =", use_gpu) print("manage_encounters =", manage_encounters) print("\ninitializing the gravity module") sys.stdout.flush() # Note that there are actually three GPU options to test: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers=n_workers, redirection="none", mode="gpu") except Exception as ex: gravity = grav(number_of_workers=n_workers, redirection="none") else: gravity = grav(number_of_workers=n_workers, redirection="none") gravity.initialize_code() gravity.parameters.set_defaults() #----------------------------------------------------------------- if infile == None: print("making a Plummer model") stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id + 1 print("setting particle masses and radii") #stars.mass = (1.0 / number_of_stars) | nbody_system.mass scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass stars.radius = 0.02 | nbody_system.length print("centering stars") stars.move_to_center() print("scaling stars to virial equilibrium") stars.scale_to_standard( smoothing_length_squared=gravity.parameters.epsilon_squared) time = 0.0 | nbody_system.time sys.stdout.flush() else: # Read the input data. Units are dynamical. print("reading file", infile) id = [] mass = [] pos = [] vel = [] f = open(infile, 'r') count = 0 for line in f: if len(line) > 0: count += 1 cols = line.split() if count == 1: snap = int(cols[0]) elif count == 2: number_of_stars = int(cols[0]) elif count == 3: time = float(cols[0]) | nbody_system.time else: if len(cols) >= 8: id.append(int(cols[0])) mass.append(float(cols[1])) pos.append( (float(cols[2]), float(cols[3]), float(cols[4]))) vel.append( (float(cols[5]), float(cols[6]), float(cols[7]))) f.close() stars = datamodel.Particles(number_of_stars) stars.id = id stars.mass = mass | nbody_system.mass stars.position = pos | nbody_system.length stars.velocity = vel | nbody_system.speed stars.radius = 0. | nbody_system.length # print "IDs:", stars.id.number sys.stdout.flush() #----------------------------------------------------------------- if softening_length == -1 | nbody_system.length: eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length * softening_length gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu # gravity.parameters.manage_encounters = manage_encounters print("adding particles") # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print('') print("number_of_stars =", number_of_stars) print("evolving to time =", end_time.number, \ "in steps of", delta_t.number) sys.stdout.flush() E0 = print_log(time, gravity) # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() kep = Kepler(redirection="none") kep.initialize_code() multiples_code = multiples.Multiples(gravity, new_smalln, kep) while time < end_time: time += delta_t multiples_code.evolve_model(time) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") print_log(time, gravity, E0) sys.stdout.flush() print('') gravity.stop()
def run_ph4(infile = None, number_of_stars = 40, end_time = 10 | nbody_system.time, delta_t = 1 | nbody_system.time, n_workers = 1, use_gpu = 1, gpu_worker = 1, gpu_id = -1, accuracy_parameter = 0.1, softening_length = -1 | nbody_system.length, manage_encounters = 1): if infile != None: print "input file =", infile print "end_time =", end_time.number print "delta_t =", delta_t.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "manage_encounters =", manage_encounters print "\ninitializing the gravity module" sys.stdout.flush() # Note that there are actually three GPU options to test: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) #print "1"; sys.stdout.flush() gpu = 0 if gpu_worker == 1: try: gravity = grav(number_of_workers = n_workers, redirection = "none", mode = "gpu") # debugger='valgrind') gpu = 1 except Exception as ex: print '*** GPU worker code not found. Reverting to non-GPU code. ***' gpu = 0 if gpu == 0: gravity = grav(number_of_workers = n_workers, redirection = "none") # debugger='valgrind') #print "2"; sys.stdout.flush() gravity.initialize_code() #print "3"; sys.stdout.flush() gravity.parameters.set_defaults() gravity.parameters.gpu_id = gpu_id #----------------------------------------------------------------- #print "4"; sys.stdout.flush() if infile == None: print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id+1 print "setting particle masses and radii" stars.mass = (1.0 / number_of_stars) | nbody_system.mass if 0: scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass stars.radius = 0.0 | nbody_system.length print "centering stars" stars.move_to_center() if 0: print "scaling stars to virial equilibrium" stars.scale_to_standard(smoothing_length_squared = gravity.parameters.epsilon_squared) time = 0.0 | nbody_system.time sys.stdout.flush() else: # Read the input data. Units are dynamical. print "reading file", infile id = [] mass = [] pos = [] vel = [] f = open(infile, 'r') count = 0 for line in f: if len(line) > 0: count += 1 cols = line.split() if count == 1: snap = int(cols[0]) elif count == 2: number_of_stars = int(cols[0]) elif count == 3: time = float(cols[0]) | nbody_system.time else: if len(cols) >= 8: id.append(int(cols[0])) mass.append(float(cols[1])) pos.append((float(cols[2]), float(cols[3]), float(cols[4]))) vel.append((float(cols[5]), float(cols[6]), float(cols[7]))) f.close() stars = datamodel.Particles(number_of_stars) stars.id = id stars.mass = mass | nbody_system.mass stars.position = pos | nbody_system.length stars.velocity = vel | nbody_system.speed stars.radius = 0. | nbody_system.length # print "IDs:", stars.id.number sys.stdout.flush() #----------------------------------------------------------------- #print "5"; sys.stdout.flush() if softening_length == -1 | nbody_system.length: eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length*softening_length #print "6"; sys.stdout.flush() gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu gravity.parameters.manage_encounters = manage_encounters print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars print "evolving to time =", end_time.number, \ "in steps of", delta_t.number sys.stdout.flush() E0,cpu0,wall0 = print_log('', time, gravity) # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() while time < end_time: time += delta_t gravity.evolve_model(time) # Ensure that the stars list is consistent with the internal # data in the module. ls = len(stars) # Update the bookkeeping: synchronize stars with the module data. try: gravity.update_particle_set() gravity.particles.synchronize_to(stars) except: pass # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") if stopping_condition.is_set(): star1 = stopping_condition.particles(0)[0] star2 = stopping_condition.particles(1)[0] print '\nstopping condition set at time', \ gravity.get_time().number,'for:\n' print star1 print '' print star2 print '' raise Exception("no encounter handling") if len(stars) != ls: if 0: print "stars:" for s in stars: print " ", s.id.number, s.mass.number, \ s.x.number, s.y.number, s.z.number else: print "number of stars =", len(stars) sys.stdout.flush() print_log('', time, gravity, E0, cpu0, wall0) sys.stdout.flush() print '' gravity.stop()
def run_ph4(initial_file=None, end_time=0 | nbody_system.time, input_delta_t=0.0 | nbody_system.time, input_Delta_t=1.0 | nbody_system.time, input_timestep_parameter=0.0, input_softening_length=-1.0 | nbody_system.length, n_workers=1, use_gpu=1, gpu_worker=1, use_multiples=True, save_restart=False, strict_restart=False): # Read an N-body system from a file and run it to the specified # time using the specified steps. Print log information and # optionally save a restart file after every step. If the # specified time is less than the time in the initial file, don't # take a step, but still print out the log info. (Hence run_ph4 # also functions like Starlab sys_stats.) print "initial_file =", initial_file print "end_time =", end_time.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "use_multiples =", use_multiples print "save_restart =", save_restart print "strict_restart =", strict_restart print "\ninitializing the gravity module" sys.stdout.flush() init_smalln() # Note that there are actually three GPU options: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers=n_workers, redirection="none", mode="gpu") except Exception as ex: gravity = grav(number_of_workers=n_workers, redirection="none") else: gravity = grav(number_of_workers=n_workers, redirection="none") gravity.initialize_code() gravity.parameters.set_defaults() kep = Kepler(None, redirection="none") kep.initialize_code() stars, time, delta_t, E0, cpu0, multiples_code \ = read_state_from_file(initial_file, gravity, kep) # Allow overrides of the restored data (OK for delta_t, NOT # recommended for timestep_parameter or softening_length). Note # that reading the state also commits the particles, and hence # calculates the initial time steps. Probably should reinitialize # if timestep_parameter or softening_length are changed. TODO if input_delta_t.number > 0: if input_delta_t != delta_t: print 'modifying delta_t from stored', delta_t, \ 'to input', input_delta_t delta_t = input_delta_t else: print "using stored delta_t =", delta_t print input_timestep_parameter print gravity.parameters.timestep_parameter if input_timestep_parameter > 0: if input_timestep_parameter != gravity.parameters.timestep_parameter: print 'modifying timestep_parameter from stored', \ gravity.parameters.timestep_parameter, \ 'to input', input_timestep_parameter gravity.parameters.timestep_parameter \ = input_timestep_parameter else: print 'timestep_parameter =', gravity.parameters.timestep_parameter if input_softening_length.number >= 0: if input_softening_length*input_softening_length \ != gravity.parameters.epsilon_squared: print 'modifying softening_length from stored', \ gravity.parameters.epsilon_squared.sqrt(), \ 'to input', input_softening_length gravity.parameters.epsilon_squared \ = softening_length*softening_length else: print 'softening length =', gravity.parameters.epsilon_squared.sqrt() gravity.parameters.use_gpu = use_gpu gravity.parameters.begin_time = time if 0: print '' print gravity.parameters.begin_time print stars.mass #print stars.position for s in stars: print '%.18e %.18e %.18e' % (s.x.number, s.y.number, s.z.number) print stars.velocity channel = gravity.particles.new_channel_to(stars) if use_multiples: stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() gravity.parameters.force_sync = 1 # end exactly at the specified time pre = "%%% " print_log(pre, time, multiples_code, E0, cpu0) tsave = time + Delta_t save_file = '' while time < end_time: time += delta_t multiples_code.evolve_model(time) #, callback=handle_callback) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") # Write log information. print_log(pre, time, multiples_code, E0, cpu0) sys.stdout.flush() # Optionally create a restart file. if save_restart and time >= tsave: #save_file = 't='+'{:07.2f}'.format(time.number) # not in Python 2.6 save_file = 't=%07.2f' % time.number write_state_to_file(time, stars, gravity, multiples_code, save_file, delta_t, E0, cpu0) sys.stdout.flush() tsave += Delta_t if strict_restart: break gravity.stop() kep.stop() stop_smalln() return time, save_file
def make_nbody(number_of_stars = 100, time = 0.0, n_workers = 1, use_gpu = 1, gpu_worker = 1, salpeter = 0, delta_t = 1.0 | nbody_system.time, timestep_parameter = 0.1, softening_length = 0.0 | nbody_system.length, random_seed = 1234): # Make an N-body system, print out some statistics on it, and save # it in a restart file. The restart file name is of the form # 't=nnnn.n.xxx', where the default time is 0.0. if random_seed <= 0: numpy.random.seed() random_seed = numpy.random.randint(1, pow(2,31)-1) numpy.random.seed(random_seed) print "random seed =", random_seed init_smalln() # Note that there are actually three GPU options: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers = n_workers, redirection = "none", mode = "gpu") except Exception as ex: gravity = grav(number_of_workers = n_workers, redirection = "none") else: gravity = grav(number_of_workers = n_workers, redirection = "none") gravity.initialize_code() gravity.parameters.set_defaults() #----------------------------------------------------------------- # Make a standard N-body system. print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id+1 print "setting particle masses and radii" if salpeter == 0: print 'equal masses' total_mass = 1.0 | nbody_system.mass scaled_mass = total_mass / number_of_stars else: print 'salpeter mass function' mmin = 0.5 | nbody_system.mass mmax = 10.0 | nbody_system.mass scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars, mass_min = mmin, mass_max = mmax) stars.mass = scaled_mass print "centering stars" stars.move_to_center() print "scaling stars to virial equilibrium" stars.scale_to_standard(smoothing_length_squared = gravity.parameters.epsilon_squared) # Set dynamical radii (assuming virial equilibrium and standard # units). Note that this choice should be refined, and updated # as the system evolves. Probably the choice of radius should be # made entirely in the multiples module. TODO. In these units, # M = 1 and <v^2> = 0.5, so the mean 90-degree turnaround impact # parameter is # # b_90 = G (m_1+m_2) / vrel^2 # = 2 <m> / 2<v^2> # = 2 / N for equal masses # # Taking r_i = m_i / 2<v^2> = m_i in virial equilibrium means # that, approximately, "contact" means a 90-degree deflection (r_1 # + r_2 = b_90). A more conservative choice with r_i less than # this value will isolate encounters better, but also place more # load on the large-N dynamical module. stars.radius = 0.5*stars.mass.number | nbody_system.length time = 0.0 | nbody_system.time # print "IDs:", stars.id.number print "recentering stars" stars.move_to_center() sys.stdout.flush() #----------------------------------------------------------------- if softening_length < 0.0 | nbody_system.length: # Use ~interparticle spacing. Assuming standard units here. TODO softening_length = 0.5*float(number_of_stars)**(-0.3333333) \ | nbody_system.length print 'softening length =', softening_length gravity.parameters.timestep_parameter = timestep_parameter gravity.parameters.epsilon_squared = softening_length*softening_length gravity.parameters.use_gpu = use_gpu print '' print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars sys.stdout.flush() # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() # ----------------------------------------------------------------- # Create the coupled code and integrate the system to the desired # time, managing interactions internally. kep = init_kepler(stars[0], stars[1]) multiples_code = multiples.Multiples(gravity, new_smalln, kep) multiples_code.neighbor_perturbation_limit = 0.1 multiples_code.neighbor_veto = True print '' print 'multiples_code.initial_scale_factor =', \ multiples_code.initial_scale_factor print 'multiples_code.neighbor_perturbation_limit =', \ multiples_code.neighbor_perturbation_limit print 'multiples_code.neighbor_veto =', \ multiples_code.neighbor_veto print 'multiples_code.final_scale_factor =', \ multiples_code.final_scale_factor print 'multiples_code.initial_scatter_factor =', \ multiples_code.initial_scatter_factor print 'multiples_code.final_scatter_factor =', \ multiples_code.final_scatter_factor print 'multiples_code.retain_binary_apocenter =', \ multiples_code.retain_binary_apocenter print 'multiples_code.wide_perturbation_limit =', \ multiples_code.wide_perturbation_limit # Take a dummy step, just in case... multiples_code.evolve_model(time) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") pre = "%%% " E0,cpu0 = print_log(pre, time, multiples_code) sys.stdout.flush() # file = 't='+'{:07.2f}'.format(time.number) # fails in Python 2.6 file = 't=%07.2f'%time.number write_state_to_file(time, stars, gravity, multiples_code, file, delta_t, E0, cpu0) tree_copy = multiples_code.root_to_tree.copy() del multiples_code sys.stdout.flush() gravity.stop() kep.stop() stop_smalln() print ''
def run_ph4(infile = None, number_of_stars = 40, end_time = 10 | nbody_system.time, delta_t = 1 | nbody_system.time, n_workers = 1, use_gpu = 1, gpu_worker = 1, gpu_id = -1, accuracy_parameter = 0.1, softening_length = -1 | nbody_system.length, manage_encounters = 1): if infile != None: print "input file =", infile print "end_time =", end_time.number print "delta_t =", delta_t.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "manage_encounters =", manage_encounters print "initializing the gravity module" sys.stdout.flush() # Note that there are actually really three GPU options to test: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) #print "1"; sys.stdout.flush() gpu = 0 if gpu_worker == 1: try: gravity = grav(number_of_workers = n_workers, redirection = "none", mode = "gpu") # debugger='valgrind') gpu = 1 except Exception as ex: print \ '*** GPU worker code not found. Reverting to non-GPU code. ***' gpu = 0 if gpu == 0: gravity = grav(number_of_workers = n_workers, redirection = "none") # debugger='valgrind') #print "2"; sys.stdout.flush() gravity.initialize_code() #print "3"; sys.stdout.flush() gravity.parameters.set_defaults() gravity.parameters.gpu_id = gpu_id #----------------------------------------------------------------- #print "4"; sys.stdout.flush() print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id+1 print "setting particle masses and radii" stars.mass = (1.0 / number_of_stars) | nbody_system.mass if 0: scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass stars.radius = 0.0 | nbody_system.length print "centering stars" stars.move_to_center() if 0: print "scaling stars to virial equilibrium" stars.scale_to_standard(smoothing_length_squared = gravity.parameters.epsilon_squared) time = 0.0 | nbody_system.time sys.stdout.flush() #----------------------------------------------------------------- #print "5"; sys.stdout.flush() if softening_length == -1 | nbody_system.length: eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length*softening_length #print "6"; sys.stdout.flush() gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu gravity.parameters.manage_encounters = manage_encounters print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars sys.stdout.flush() E0,cpu0,wall0 = print_log('', time, gravity) # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() #----------------------------------------------------------------- cpu0 = cputime() t0 = 0. pi = math.pi times = [1., 2., pi, 4*pi/3, 5., 2*pi, 2*pi + pi/100, 2*pi + pi/5, 7., 8., 3*pi, 10.] gravity.parameters.force_sync = 1 # stays set until explicitly unset for t in times: time = t|nbody_system.time print "\nEvolving to time", time sys.stdout.flush() gravity.parameters.block_steps = 0 gravity.parameters.total_steps = 0 gravity.evolve_model(time) dt = t - t0 t0 = t cpu = cputime() dcpu = cpu - cpu0 cpu0 = cpu # Ensure that the stars list is consistent with the internal # data in the module. ls = len(stars) # Update the bookkeeping: synchronize stars with the module data. try: gravity.update_particle_set() gravity.particles.synchronize_to(stars) except: pass # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") if stopping_condition.is_set(): star1 = stopping_condition.particles(0)[0] star2 = stopping_condition.particles(1)[0] print '\nstopping condition set at time', \ gravity.get_time().number,'for:\n' print star1 print '' print star2 print '' raise Exception("no encounter handling") if len(stars) != ls: if 0: print "stars:" for s in stars: print " ", s.id.number, s.mass.number, \ s.x.number, s.y.number, s.z.number else: print "number of stars =", len(stars) sys.stdout.flush() print_log('', time, gravity, E0, cpu0, wall0) print '@@@' print '@@@ t =', time.number, ' dt =', dt print '@@@ sync_time =', gravity.parameters.sync_time.number print '@@@ dcpu/dt =', dcpu/dt nb = gravity.parameters.block_steps ns = gravity.parameters.total_steps print '@@@ d(block_steps) =', nb, ' #/dt =', nb/dt print '@@@ d(total steps) =', ns, ' #/dt =', ns/dt #print stars sys.stdout.flush() #----------------------------------------------------------------- print '' gravity.stop()
def run_ph4(infile = None, number_of_stars = 40, end_time = 10 | nbody_system.time, delta_t = 1 | nbody_system.time, n_workers = 1, use_gpu = 1, gpu_worker = 1, accuracy_parameter = 0.1, softening_length = -1 | nbody_system.length, manage_encounters = 1, random_seed = 1234): if random_seed <= 0: numpy.random.seed() random_seed = numpy.random.randint(1, pow(2,31)-1) numpy.random.seed(random_seed) print "random seed =", random_seed if infile != None: print "input file =", infile print "end_time =", end_time.number print "delta_t =", delta_t.number print "n_workers =", n_workers print "use_gpu =", use_gpu print "manage_encounters =", manage_encounters print "\ninitializing the gravity module" sys.stdout.flush() # Note that there are actually three GPU options to test: # # 1. use the GPU code and allow GPU use (default) # 2. use the GPU code but disable GPU use (-g) # 3. use the non-GPU code (-G) if gpu_worker == 1: try: gravity = grav(number_of_workers = n_workers, redirection = "none", mode = "gpu") except Exception as ex: gravity = grav(number_of_workers = n_workers, redirection = "none") else: gravity = grav(number_of_workers = n_workers, redirection = "none") gravity.initialize_code() gravity.parameters.set_defaults() #----------------------------------------------------------------- if infile == None: print "making a Plummer model" stars = new_plummer_model(number_of_stars) id = numpy.arange(number_of_stars) stars.id = id+1 print "setting particle masses and radii" #stars.mass = (1.0 / number_of_stars) | nbody_system.mass scaled_mass = new_salpeter_mass_distribution_nbody(number_of_stars) stars.mass = scaled_mass stars.radius = 0.02 | nbody_system.length print "centering stars" stars.move_to_center() print "scaling stars to virial equilibrium" stars.scale_to_standard(smoothing_length_squared = gravity.parameters.epsilon_squared) time = 0.0 | nbody_system.time sys.stdout.flush() else: # Read the input data. Units are dynamical. print "reading file", infile id = [] mass = [] pos = [] vel = [] f = open(infile, 'r') count = 0 for line in f: if len(line) > 0: count += 1 cols = line.split() if count == 1: snap = int(cols[0]) elif count == 2: number_of_stars = int(cols[0]) elif count == 3: time = float(cols[0]) | nbody_system.time else: if len(cols) >= 8: id.append(int(cols[0])) mass.append(float(cols[1])) pos.append((float(cols[2]), float(cols[3]), float(cols[4]))) vel.append((float(cols[5]), float(cols[6]), float(cols[7]))) f.close() stars = datamodel.Particles(number_of_stars) stars.id = id stars.mass = mass | nbody_system.mass stars.position = pos | nbody_system.length stars.velocity = vel | nbody_system.speed stars.radius = 0. | nbody_system.length # print "IDs:", stars.id.number sys.stdout.flush() #----------------------------------------------------------------- if softening_length == -1 | nbody_system.length: eps2 = 0.25*(float(number_of_stars))**(-0.666667) \ | nbody_system.length**2 else: eps2 = softening_length*softening_length gravity.parameters.timestep_parameter = accuracy_parameter gravity.parameters.epsilon_squared = eps2 gravity.parameters.use_gpu = use_gpu # gravity.parameters.manage_encounters = manage_encounters print "adding particles" # print stars sys.stdout.flush() gravity.particles.add_particles(stars) gravity.commit_particles() print '' print "number_of_stars =", number_of_stars print "evolving to time =", end_time.number, \ "in steps of", delta_t.number sys.stdout.flush() E0 = print_log(time, gravity) # Channel to copy values from the code to the set in memory. channel = gravity.particles.new_channel_to(stars) stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() kep = Kepler(redirection = "none") kep.initialize_code() multiples_code = multiples.Multiples(gravity, new_smalln, kep) while time < end_time: time += delta_t multiples_code.evolve_model(time) # Copy values from the module to the set in memory. channel.copy() # Copy the index (ID) as used in the module to the id field in # memory. The index is not copied by default, as different # codes may have different indices for the same particle and # we don't want to overwrite silently. channel.copy_attribute("index_in_code", "id") print_log(time, gravity, E0) sys.stdout.flush() print '' gravity.stop()
def GetValues(cluster_name, num_workers=1, use_gpu=1, gpu_ID=0, eps2=0.0 | nbody_system.length**2, delta_t=0.05 | nbody_system.time): # This function uses calls upon the restart fuction to reload the multiples from the simulation to use # the multiples function to get the Energy and it correction, num_files can probably be replaced if we # can measure how many files are in a cluster, maybe glob.glob can do that. # This function returns the arrays below: Energy = [] UncorrectedEnergy = [] Time = [] Kinetic = [] Potential = [] L = [] P = [] i = 0 # You will need to change the File Path varibale to run this on anyone else's account file_path = "/home/draco/jthornton/Tycho/Restart/" file_loc = file_path + cluster_name search = glob.glob(file_loc + "*.hdf5") for key in search: if i % 2 == 0: # This loop will go through the restart files of the cluster and append energy and momentum values to the corresponding arrays # First get the restart naming correct restart_file = key[:-11] # Second retrieve the timestep from the file and convert it to a float time_grab = [] time_grab = key.split("_") time = float(time_grab[2]) | nbody_system.time if use_gpu == 1: gravity = ph4(number_of_workers=num_workers, redirection="none", mode="gpu") else: gravity = grav(number_of_workers=num_workers, redirection="none") # Initializing PH4 with Initial Conditions print "Initializing gravity" gravity.initialize_code() gravity.parameters.set_defaults() gravity.parameters.begin_time = time gravity.parameters.epsilon_squared = eps2 gravity.parameters.timestep_parameter = delta_t.number # Setting up the Code to Run with GPUs Provided by Command Line gravity.parameters.use_gpu = use_gpu gravity.parameters.gpu_id = gpu_ID # Initializing Kepler and SmallN print "Initializing Kepler" kep = Kepler(None, redirection="none") kep.initialize_code() print "Initializing SmallN" util.init_smalln() MasterSet = [] print "Retrieving data" MasterSet, multiples_code = read.read_state_from_file( restart_file, gravity, kep, util.new_smalln()) # Setting Up the Stopping Conditions in PH4 stopping_condition = gravity.stopping_conditions.collision_detection stopping_condition.enable() sys.stdout.flush() # Starting the AMUSE Channel for PH4 grav_channel = gravity.particles.new_channel_to(MasterSet) print "Reload Successful" U = multiples_code.potential_energy T = multiples_code.kinetic_energy Etop = T + U print "T: " print T print "U: " print U angular_momentum = MasterSet.total_angular_momentum() momentum = MasterSet.total_momentum() Nmul, Nbin, Emul = multiples_code.get_total_multiple_energy() tmp1, tmp2, Emul2 = multiples_code.get_total_multiple_energy2() Etot = Etop + Emul Eext = multiples_code.multiples_external_tidal_correction Eint = multiples_code.multiples_internal_tidal_correction Eerr = multiples_code.multiples_integration_energy_error Edel = multiples_code.multiples_external_tidal_correction \ + multiples_code.multiples_internal_tidal_correction \ + multiples_code.multiples_integration_energy_error Ecor = Etot - Edel print "Ecor: " print Ecor gravity.stop() kep.stop() util.stop_smalln() Energy.append(Ecor.number) UncorrectedEnergy.append(Etop.number) Time.append(time.number) Kinetic.append(T.number) Potential.append(U.number) L.append(angular_momentum.number) P.append(momentum.number) i += 1 return Energy, UncorrectedEnergy, Time, Kinetic, Potential, L, P
add_planets(objects, number_of_planets, kc_converter, cluster_name, Neptune=True, Double=False) # Defining Initial Conditions for PH4 time = 0.0 | nbody_system.time delta_t = options.dt | nbody_system.time number_of_steps = options.num_steps end_time = number_of_steps*delta_t num_workers = 1 eps2 = 0.0 | nbody_system.length**2 use_gpu = options.use_gpu gpu_ID = options.gpu_ID # Setting PH4 as the Top-Level Gravity Code if use_gpu == 1: try: gravity = grav(number_of_workers = num_workers, redirection = "none", mode = "gpu") except Exception as ex: gravity = grav(number_of_workers = num_workers, redirection = "none") print "*** GPU worker code not found. Reverting to non-GPU code. ***" else: gravity = grav(number_of_workers = num_workers, redirection = "none") # Initializing PH4 with Initial Conditions gravity.initialize_code() gravity.parameters.set_defaults() gravity.parameters.begin_time = time gravity.parameters.epsilon_squared = eps2 gravity.parameters.timestep_parameter = delta_t.number # Setting up the Code to Run with GPUs Provided by Command Line gravity.parameters.use_gpu = use_gpu