Tom Wagg TomWagg

## create_appendix_d.py
import urllib
import pandas as pd
import numpy as np

def create_appendix_d(Zs=[0.014, 0.002], verbose=False,
                      masses=[0.8, 0.9, 1, 2, 4, 7, 12, 15, 20, 25, 32, 40, 60, 85, 120]):
    """Recreate Appendix D from "Understanding Stellar Evolution" by Henry Lamers and Emily Levesque.
    Parameters
    ----------
    Zs : `list`, optional

## fwhm.ipynb

      
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              August 8, 2022 23:52
            
              
                Megan FWHM
              
          
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## get_representative_fiducial_binaries.py
import h5py as h5
import numpy as np
import legwork
import astropy.units as u
import pandas as pd

# constants
dco_types = ["BHBH", "BHNS", "NSNS"]
det_rates = [74, 42, 8]

## removed_unused_bibs.py
import re
import argparse

def collect_all_bibs(bib_files):
    # regex for anything that matches "@[some word]{[something],"
    bibtex_key_regex = r"@\w*{.*(?=\,)"

    # convert strings to lists in case only one file
    if isinstance(bib_files, str):
        bib_files = [bib_files]

## J0526+5934_in_LISA.py
import numpy as np
import astropy.units as u
from astropy.coordinates import SkyCoord
import matplotlib.pyplot as plt

# LEGWORK is a python package that can calculate LISA SNRs - https://legwork.readthedocs.io/
# Citation info at: https://legwork.readthedocs.io/en/latest/cite.html
import legwork as lw

# take 100,000 random samples based on uncertainties
	import urllib
	import pandas as pd
	import numpy as np

	def create_appendix_d(Zs=[0.014, 0.002], verbose=False,
	masses=[0.8, 0.9, 1, 2, 4, 7, 12, 15, 20, 25, 32, 40, 60, 85, 120]):
	"""Recreate Appendix D from "Understanding Stellar Evolution" by Henry Lamers and Emily Levesque.
	Parameters
	----------
	Zs : `list`, optional
	import h5py as h5
	import numpy as np
	import legwork
	import astropy.units as u
	import pandas as pd

	# constants
	dco_types = ["BHBH", "BHNS", "NSNS"]
	det_rates = [74, 42, 8]
	import re
	import argparse

	def collect_all_bibs(bib_files):
	# regex for anything that matches "@[some word]{[something],"
	bibtex_key_regex = r"@\w{.(?=\,)"

	# convert strings to lists in case only one file
	if isinstance(bib_files, str):
	bib_files = [bib_files]
	import numpy as np
	import astropy.units as u
	from astropy.coordinates import SkyCoord
	import matplotlib.pyplot as plt

	# LEGWORK is a python package that can calculate LISA SNRs - https://legwork.readthedocs.io/
	# Citation info at: https://legwork.readthedocs.io/en/latest/cite.html
	import legwork as lw

	# take 100,000 random samples based on uncertainties