nmearl

#!/System/Library/Frameworks/Ruby.framework/Versions/Current/usr/bin/ruby

# SET YOUR_HOME TO THE ABSOLUTE PATH OF YOUR HOME DIRECTORY
# chmod +x install.rb
# ./install.rb
YOUR_HOME = ''

HOMEBREW_PREFIX = "#{YOUR_HOME}/usr/local"
HOMEBREW_CACHE = '/Library/Caches/Homebrew'
HOMEBREW_REPO = 'https://github.com/Homebrew/homebrew'

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import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

nmearl

Please see the updated notebook here.

nmearl

Currently Supported Calculation Modes (03-2016)

The following following JWST instrument/mode combinations are currently implemented, working, and part of the nightly regression tests:

• miri:
  • imaging
  • mrs

• coronagraphy

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Keybase proof

I hereby claim:

• I am nmearl on github.
• I am nmearl (https://keybase.io/nmearl) on keybase.
• I have a public key whose fingerprint is 6502 BEC5 3F04 DC7D 122E F9EB 78A8 C346 83E2 99CA

To claim this, I am signing this object:

nmearl

import os

from astropy.io import fits
from astropy.wcs import WCS
from astropy.units import Unit
from astropy.nddata import StdDevUncertainty

from specviz.interfaces.decorators import data_loader
from specviz.core.data import Spectrum1DRef

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name: specviz_dev_env
channels:
  - defaults
dependencies:
  - ca-certificates=2018.03.07=0
  - certifi=2018.4.16=py36_0
  - libcxx=4.0.1=h579ed51_0
  - libcxxabi=4.0.1=hebd6815_0
  - libedit=3.1.20170329=hb402a30_2
  - libffi=3.2.1=h475c297_4

nmearl

from astroquery.jplhorizons import HorizonsClass


HorizonsClass.vectors_async = vectors_async_full
Horizons = HorizonsClass()


def vectors_async_full(self, get_query_payload=False, refplane='ecliptic',
                    closest_apparition=False, no_fragments=False,
                    get_raw_response=False, cache=True):

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