def all_simulations(request):
return [SimulationInfo(x,request) for x in tangos.all_simulations(request.dbsession)]
def _db_import_export(target_session, from_session, *sims):
external_id_to_internal_halo = {}
translated_halolink_ids = []
if len(sims)==0:
sims = [x.id for x in all_simulations(from_session)]
for sim in sims:
ext_sim = get_simulation(sim, from_session)
sim = Simulation(ext_sim.basename)
target_session.add(sim)
logger.info("Transferring simulation %s", ext_sim)
halos_this_ts = []
for p_ext in ext_sim.properties:
dic = get_or_create_dictionary_item(
target_session, p_ext.name.text)
p = SimulationProperty(sim, dic, p_ext.data)
halos_this_ts.append(p)
for tk_ext in ext_sim.trackers:
tk = TrackData(sim, tk_ext.halo_number)
tk.particles = tk_ext.particles
tk.use_iord = tk_ext.use_iord
halos_this_ts.append(tk)
target_session.add_all(halos_this_ts)
for ts_ext in ext_sim.timesteps:
logger.info("Transferring timestep %s",ts_ext)
ts = TimeStep(sim, ts_ext.extension)
ts.redshift = ts_ext.redshift
ts.time_gyr = ts_ext.time_gyr
ts.available = True
target_session.add(ts)
halos_this_ts = []
logger.info("Transferring objects for %s", ts_ext)
for h_ext in ts_ext.objects:
h = SimulationObjectBase(ts, h_ext.halo_number, h_ext.finder_id, h_ext.finder_offset, h_ext.NDM,
h_ext.NStar, h_ext.NGas, h_ext.object_typecode)
h.external_id = h_ext.id
halos_this_ts.append(h)
target_session.add_all(halos_this_ts)
target_session.commit()
for h in halos_this_ts:
assert h.id is not None and h.id > 0
external_id_to_internal_halo[h.external_id] = h
properties_this_ts = []
logger.info("Transferring object properties for %s", ts_ext)
for h_ext in ts_ext.objects:
h_new = external_id_to_internal_halo[h_ext.id]
for p_ext in h_ext.properties:
dic = get_or_create_dictionary_item(
target_session, p_ext.name.text)
dat = p_ext.data_raw
if dat is not None:
p = HaloProperty(h_new, dic, dat)
target_session.add(p)
target_session.commit()
for ts_ext in ext_sim.timesteps:
logger.info("Transferring halolinks for timestep %s", ts_ext)
sys.stdout.flush()
_translate_halolinks(
target_session, ts_ext.links_from, external_id_to_internal_halo, translated_halolink_ids)
_translate_halolinks(
target_session, ts_ext.links_to, external_id_to_internal_halo, translated_halolink_ids)
target_session.commit()
logger.info("Done")
import matplotlib
#matplotlib.use('Agg')
def smooth(y, box_pts):
# moving average smoothing
box = np.ones(box_pts) / box_pts
y_smooth = np.convolve(y, box, mode='same')
return y_smooth
import tangos
tangos.all_simulations()
import pylab as p
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.signal import savgol_filter
P0_halo = tangos.get_halo(
"pioneer50h243.1536g1bwK1BH/pioneer50h243.1536gst1bwK1BH.004096/halo_1")
P0_SFR = P0_halo["SFR_histogram"]
P0_BH_accrate = P0_halo.calculate('BH.BH_mdot_histogram')
P0_BH_accrate_hat = smooth(P0_BH_accrate, 50)
P0_SFR_property_object = P0_halo.get_objects("SFR_histogram")[0]
P0_SFR_time_bins = P0_SFR_property_object.x_values()
GM1_halo = tangos.get_halo(
"pioneer50h243GM1.1536gst1bwK1BH_no3072/pioneer50h243GM1.1536gst1bwK1BH.004096/halo_1"
)
GM1_SFR = GM1_halo["SFR_histogram"]
