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improve final results table
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1 changed files with 141 additions and 55 deletions
196
final_results.py
196
final_results.py
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@ -1,89 +1,175 @@
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from sys import argv
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import glob
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from typing import List
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import pandas as pd
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from rebound import SimulationArchive, Simulation
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from scipy.constants import mega
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from extradata import ExtraData
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from extradata import ExtraData, CollisionMeta
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from utils import filename_from_argv, is_potentially_habitable, Particle, earth_mass, earth_water_mass
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# pd.set_option('display.max_columns', None)
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pd.options.display.max_columns = None
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pd.options.display.width = 0
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minmax=True
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def chunks(lst, lst2):
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"""Yield successive n-sized chunks from lst."""
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for i in range(0, len(lst), 2):
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yield lst[i:i + 2] + lst2[i:i + 2]
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def print_row(mean, std, name: str):
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strings = [name]
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for value, pm in zip(list(mean), list(std)):
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strings.append(f"{value:.1f}\\pm {pm:.1f}")
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print(" & ".join(strings) + r" \\")
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def get_masses(ed: ExtraData, planets: List[Particle]):
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total = 0
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water = 0
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for p in planets:
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data = ed.pd(p)
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print(data.water_mass)
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# print(data.water_mass)
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total += data.total_mass / earth_mass
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water += data.water_mass / earth_water_mass
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return total, water
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table = []
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rows = []
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for file in argv[1:]:
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fn = filename_from_argv(file)
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print(fn)
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methods = {
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"rbf": "data/final_rbf_*.bin",
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"nn": "data/final_nn_*.bin",
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"lz": "data/final_lz_*.bin",
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"pm": "data/final_pm_*.bin",
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}
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columns = ["num_planets", "num_planets_pot", "M_planets", "M_planets_pot", "M_water", "M_water_pot", "escaped_mass",
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"escaped_water_mass", "sun_mass", "sun_water_mass", "gas_giant_mass", "gas_giant_water_mass",
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"collision_mass", "collision_water_mass","last_collision_time"]
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ed = ExtraData.load(fn)
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if ed.meta.current_time < ed.meta.tmax:
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print("not yet finished")
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continue
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maintable = []
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sa = SimulationArchive(str(fn.with_suffix(".bin")))
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last_sim: Simulation = sa[-1]
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planets = []
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for particle in last_sim.particles:
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if ed.pd(particle).type in ["sun", "gas giant"]:
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for name, filepath in methods.items():
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table = []
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rows = []
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for file in sorted(glob.glob(filepath)):
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fn = filename_from_argv(file)
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# print(fn)
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ed = ExtraData.load(fn)
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if ed.meta.current_time < ed.meta.tmax:
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print("not yet finished")
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continue
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if ed.pd(particle).type == "planetesimal":
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continue
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# print(particle.r * astronomical_unit / earth_radius)
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planets.append(particle)
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pothab_planets = [p for p in planets if is_potentially_habitable(p)]
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num_planets = len(planets)
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num_pothab_planets = len(pothab_planets)
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M_planets, M_water = get_masses(ed, planets)
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M_planets_pot, M_water_pot = get_masses(ed, pothab_planets)
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sa = SimulationArchive(str(fn.with_suffix(".bin")))
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last_sim: Simulation = sa[-1]
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planets = []
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for particle in last_sim.particles:
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if ed.pd(particle).type in ["sun", "gas giant"]:
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continue
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if ed.pd(particle).type == "planetesimal":
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continue
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# print(particle.r * astronomical_unit / earth_radius)
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planets.append(particle)
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values = [num_planets, num_pothab_planets, M_planets, M_planets_pot, M_water, M_water_pot]
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print(values)
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table.append(values)
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rows.append(str(fn))
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pothab_planets = [p for p in planets if is_potentially_habitable(p)]
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num_planets = len(planets)
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num_planets_pot = len(pothab_planets)
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M_planets, M_water = get_masses(ed, planets)
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M_planets_pot, M_water_pot = get_masses(ed, pothab_planets)
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print("\n-----\n")
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pd.set_option('display.float_format', lambda x: '%.1f' % x)
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df = pd.DataFrame(table,
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index=rows,
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columns=["num_planets", "num_pothab_planets", "M_planets", "M_planets_pot", "M_water", "M_water_pot"])
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print(df)
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print("\n-----\n")
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# mass of particles thrown into Sun/escaped
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escaped_mass = 0
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escaped_water_mass = 0
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sun_mass = 0
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sun_water_mass = 0
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for particle in ed.pdata.values():
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if particle.escaped:
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if particle.type in ["sun", "gas giant"]:
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print(fn, particle, "escaped", particle.type)
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continue
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escaped_mass += particle.total_mass / earth_mass
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escaped_water_mass += particle.water_mass / earth_water_mass
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elif particle.collided_with_sun:
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sun_mass += particle.total_mass / earth_mass
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sun_water_mass += particle.water_mass / earth_water_mass
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def chunks(lst):
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"""Yield successive n-sized chunks from lst."""
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for i in range(0, len(lst), 2):
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yield lst[i:i + 2]
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# count mass lost to gas giants
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gas_giant_mass = 0
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gas_giant_water_mass = 0
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for col_id, collision in ed.tree.get_tree().items():
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gas_parent = None
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other_parent = None
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gas_parent_counter = 0
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for parent in collision["parents"]:
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if ed.pdata[parent].type == "gas giant":
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gas_parent_counter += 1
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gas_parent = parent
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else:
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other_parent = parent
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if gas_parent_counter > 1:
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print(f"it seems like {gas_parent_counter} gas giants collided with each other")
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continue
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if gas_parent:
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previous_body = ed.pdata[other_parent]
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gas_giant_mass += previous_body.total_mass / earth_mass
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gas_giant_water_mass += previous_body.water_mass / earth_water_mass
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# count mass lost in collisions
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collision_mass = 0
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collision_water_mass = 0
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for col_id, collision in ed.tree.get_tree().items():
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parent_mass = 0
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parent_water_mass = 0
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for parent in collision["parents"]:
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parent_body = ed.pdata[parent]
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parent_mass += parent_body.total_mass / earth_mass
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parent_water_mass += parent_body.water_mass / earth_water_mass
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child = ed.pdata[col_id]
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diff = parent_mass - child.total_mass / earth_mass
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diff_water = parent_water_mass - child.water_mass / earth_water_mass
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collision_mass += diff
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collision_water_mass += diff_water
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if collision_water_mass < 1e-10:
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collision_water_mass = 0
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if collision_mass < 1e-10:
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collision_mass = 0
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def print_row(row, name: str):
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strings = [name]
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for n, pn in chunks(row):
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if int(n) == n:
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strings.append(f"{n:.0f} ({pn:.0f})")
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# last collision time
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last_collision_time = 0
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for col_id, collision in ed.tree.get_tree().items():
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meta: CollisionMeta = collision["meta"]
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if meta.time > last_collision_time:
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last_collision_time = meta.time
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last_collision_time /= mega
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values = [num_planets, num_planets_pot, M_planets, M_planets_pot, M_water, M_water_pot, escaped_mass,
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escaped_water_mass, sun_mass, sun_water_mass, gas_giant_mass, gas_giant_water_mass,
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collision_mass, collision_water_mass, last_collision_time]
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# print(values)
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table.append(values)
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rows.append(str(fn))
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pd.set_option('display.float_format', lambda x: '%.1f' % x)
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df = pd.DataFrame(table, index=rows, columns=columns)
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# print(df)
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# print("\n-----\n")
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# print_row(df.mean(), df.std(), name)
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if minmax:
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maintable.append(list(zip(df.min(), df.max())))
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else:
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maintable.append(list(zip(df.mean(), df.std())))
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transposed = list(map(list, zip(*maintable)))
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for row, name in zip(transposed, columns):
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strings = [name.replace("_", "\\_")]
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for value, pm in row:
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if minmax:
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strings.append(f"{value:.1f} -- {pm:.1f}")
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else:
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strings.append(f"{n:.1f} ({pn:.1f})")
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strings.append(f"{value:.1f}\\pm {pm:.1f}")
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print(" & ".join(strings) + r" \\")
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print_row(df.mean(), "mean")
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if len(df) > 1:
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print_row(df.std(), "std")
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print_row(df.min(), "min")
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print_row(df.max(), "max")
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print(df.describe())
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