Read the Catalog

Authors: Alice Curtin, Sabrina Berger

In order to take a closer look at the CHIME/FRB Catalog Data download it from our official website which is updated regularly. The catalog data is available in CSV and FITS file formats.

Read in CHIME/FRB Catalog

Pandas Dataframe

import numpy as np
import pandas as pd
# csv file columns (extracted directly from the list that is presented in the Catalog 1 paper)
col_list = ['tns_name', 'previous_name','repeater_name','ra','ra_err','ra_notes','dec','dec_err','dec_notes',
    'gl','gb','exp_up','exp_up_err','exp_up_notes','exp_low','exp_low_err', 'exp_low_notes', 'bonsai_snr',
    'bonsai_dm','low_ft_68','up_ft_68','low_ft_95','up_ft_95','snr_fitb','dm_fitb','dm_fitb_err',
    'dm_exc_ne2001','dm_exc_ymw16','bc_width','scat_time','scat_time_err','flux','flux_err','flux_notes',
    'fluence','fluence_err','fluence_notes','sub_num','mjd_400','mjd_400_err','mjd_inf','mjd_inf_err',
    'width_fitb','width_fitb_err','sp_idx','sp_idx_err','sp_run','sp_run_err',
    'high_freq','low_freq','peak_freq', 'excluded_flag']  
# reading in the csv file
df = pd.read_csv("catalog1.csv",usecols=col_list)
# The Catalog 1 Data now lives in df. You can view they keys for examples with: 
print(df.keys())

FITS

# use the fits file reader in astropy
from astropy.io import fits
fits_catalog = "catalog1.fits"
# open the fits file with a context manager, i.e., using with
with fits.open(fits_catalog) as hdul:
# The Catalog 1 Data now lives in hdul. You can view more information about the file with: 
    hdul.info()        

In addition to downloading the catalog manually, it is also availaible through the open source CHIME/FRB Open Data python package.

cfod

Dictionary

from cfod import catalog
data = catalog.as_dict()

JSON

from cfod import catalog
data = catalog.as_json()

List

from cfod import catalog
data = catalog.as_list()

Dataframe

from cfod import catalog
data = catalog.as_dataframe()

FITS

from cfod import catalog
data = catalog.as_dataframe()