stephtdouglas

input_folder="./CA1_submitted"
output_folder="./CA1_rubrics"
rubric="CA1_rubric.pdf"

ls $input_folder/*.pdf > inlist

while read -r line
do
    # echo "$line"
    fname=${line##*/}

stephtdouglas

"""
Script to crossmatch literature binary IDs with Simbad and Gaia
"""

import os, sys

import matplotlib.pyplot as plt
import numpy as np
import astropy.io.ascii as at
from astropy.coordinates import SkyCoord

stephtdouglas

import matplotlib.pyplot as plt
from datetime import date

today = date.today().isoformat()
plt.savefig("filename_{0}.png".format(today))

stephtdouglas

def read_mdm(filename,to_plot=False,return_header=False):
    with fits.open(filename) as spec:
#             print(spec.info())
#             print(spec[0].data)
        
            flux = spec[0].data[0][0]

            w0 = np.float(spec[0].header["CRVAL1"])
            wi = np.int(spec[0].header["CRPIX1"])
            wstep = np.float(spec[0].header["CD1_1"])

stephtdouglas

# http://bconnelly.net/2013/10/creating-colorblind-friendly-figures/

from __future__ import print_function, division

import matplotlib.pyplot as plt
from matplotlib import colors
from cycler import cycler
import numpy as np

palette_names = np.array(["Black", "Orange", "SkyBlue", "#009e73",

stephtdouglas

import numpy as np
import matplotlib.pyplot as plt
import astropy.io.ascii as at
from scipy.interpolate import interp1d

# Read in Kraus & Hillenbrand for later use
kh = at.read('kraushillenbrand5.dat')
ksub = np.array([-23,-19,-15,-12,-11,-9,-7,-6,-5,-4,-3,-2,-1])
kh_rpmK0 = (kh['Mr'] - 0.035*(kh['Mr']-kh['Mi']) - 0.007 - kh['MK'])
kh_rpmK = kh_rpmK0[ksub]

stephtdouglas

# Created by Brett Morris @bmorris3
# Saving for future use

def strided_array(a, window_width):
    as_strided = np.lib.stride_tricks.as_strided

    #window_width = 4
    new_shape = (len(a) - window_width + 1, window_width)
    b = as_strided(a, new_shape, (a.strides[0], a.strides[0]))
    return b