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sample_selector.py
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sample_selector.py
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#!/usr/bin/env python
# coding: utf-8
# In[1]:
import re
import numpy as np
import csv
import gzip
import dateutil
import matplotlib.pyplot as plt
# In[2]:
Z_FILE = 'primary_table.csv'
HST_FILE = 'hsc/hst_search.csv.gz'
SPITZ_FILE = 'sha/sha_results_table_combined.csv'
SWIFT_FILE = 'swift_table.csv'
# In[3]:
# check if a grb has been observed nmonths after burst
def date_checker(grb, obs_time, nmonths=6):
# grb string, e.g. 040924
grb_num = re.sub('[^0-9]', '', grb)
if grb.startswith('9'):
grb_date_str = '19{}'.format(grb_num)
else:
grb_date_str = '20{}'.format(grb_num)
grb_date = dateutil.parser.parse(grb_date_str)
obs_date = dateutil.parser.parse(obs_time)
relative = dateutil.relativedelta.relativedelta(months=nmonths)
return obs_date > grb_date + relative
# In[4]:
# grbs with redshift
z_grbs = set()
with open(Z_FILE, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
try:
z = float(row['z'])
# only accept "valid" redshifts
except ValueError:
continue
z_grbs.add(row['grb'])
# In[5]:
# grbs observed in Spitzer
spitz_grbs = set()
with open(SPITZ_FILE, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
grb = row['Search_Tgt'][3:]
obs_date = row['reqendtime']
is_late_enough = date_checker(grb, obs_date, nmonths=3)
if is_late_enough:
spitz_grbs.add(grb)
# In[6]:
# grbs observed in HST
hst_grbs = set()
# hsc results indexed by primary_table since queries are
# made from primary_table (parsed)
query_table = 'hsc/sha_hsc_query_table.csv'
with open(query_table, 'r') as f:
grb_list = f.readlines()
with gzip.open(HST_FILE, 'rt') as f:
reader = csv.DictReader(f)
next(reader) # skip dtype header
for row in reader:
entry = int(row['Entry']) - 1
grb = grb_list[entry].split(',')[-1][3:].strip('\n')
if grb in hst_grbs:
continue
obs_date = row['Stop Time']
is_grb_target = (
(
'grb' in row['Target Name'].lower() or
'gamma' in row['Target Descrip'].lower()
)
)
is_near = float(row["Ang Sep (')"]) < 5.2 # dist in arcmin
if (is_grb_target or is_near):
hst_grbs.add(grb)
# In[7]:
print(len(hst_grbs), len(spitz_grbs), len(z_grbs))
# In[10]:
SAMPLE_GRBS = (z_grbs.intersection(spitz_grbs).intersection(hst_grbs))
print(len(SAMPLE_GRBS))
# In[9]:
# plotter goes here
# very crude!
z_grbs_dict = {}
with open(Z_FILE, 'r') as f:
for line in f:
grb, radec, tel, z = line.split(',')
try:
z = float(z)
z_grbs_dict[grb] = z
except:
continue
sample_grbs = z_grbs.intersection(spitz_grbs).intersection(hst_grbs)
z_list = [z_grbs_dict[grb] for grb in sample_grbs]
plt.subplot(1,2,1)
bins = np.arange(2*max(z_list))/2.
ticks = np.arange(max(z_list))
plt.hist(z_list, bins=bins, histtype='step', hatch='\\\\\\', facecolor='w', edgecolor='k')
plt.xlabel('Redshift')
plt.ylabel('Number of Targets Observed')
plt.xticks(ticks)
plt.xlim((0, max(z_list)))
plt.subplot(1,2,2)
wav_list = [3.6/(z_grbs_dict[grb]+1) for grb in sample_grbs]
bins = np.arange(3*(max(wav_list)))/3.
ticks = np.arange(2*max(z_list))/2.
plt.hist(wav_list, bins=bins, histtype='step', hatch='\\\\\\', facecolor='w', edgecolor='k')
plt.xlabel('Rest Wavelength')
plt.ylabel('Number of Targets Observed')
plt.xticks(ticks)
plt.xlim((min(wav_list), max(wav_list)))
# In[22]:
BLANCHARD_GRBS = [
'040924', '041006',
'050315', '050401', '050525', '050730', '050824', '050908', '051016B', '051022',
'060124', '060206', '060218', '060512', '060526', '060607', '060614', '060719', '060729', '061007', '061110B',
'070208', '070306', '070318', '070721B', '070802', '071112C',
'080319B', '080325', '080430', '080603B', '080707', '080805', '080928', '081007', '081008',' 081109', '081121',
'090407', '090417B', '090424', '091127', '091208B',
'100615A', '100621A',
'110731A',
'120119A'
]
# In[30]:
missing_grbs = []
for grb in SAMPLE_GRBS:
if ('X' in grb) or (grb in BLANCHARD_GRBS):
continue
else:
missing_grbs.append(grb)
print(len(missing_grbs))
# In[31]:
sorted(missing_grbs)
# In[ ]: