Jonathan Whitmore jbwhit

## HD146244.ipynb

      
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                jbwhit
                / HD146244.ipynb
            
            
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              August 29, 2015 13:56
            
              
                2011-05 Solar Twin
              
          
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## UVES_asteroids.ipynb

      
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                jbwhit
                / UVES_asteroids.ipynb
            
            
              Created
              February 11, 2014 02:50
            
              
                LP Vesta Supercalibration
              
          
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## HIRES_asteroids.ipynb

      
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                jbwhit
                / HIRES_asteroids.ipynb
            
            
              Created
              February 11, 2014 04:42
            
              
                HIRES asteroids.
              
          
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## 2014-02-11-HDS-iodine.ipynb

      
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                jbwhit
                / 2014-02-11-HDS-iodine.ipynb
            
            
              Created
              February 11, 2014 07:13
            
              
                HDS spectra iodine cell calibration.
              
          
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## 2014-02-23-two-slope.ipynb

      
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                jbwhit
                / 2014-02-23-two-slope.ipynb
            
            
              Created
              February 23, 2014 11:54
            
              
                Is this a better fit?
              
          
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## 2014-02-22-hires-single-st.ipynb

      
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                jbwhit
                / 2014-02-22-hires-single-st.ipynb
            
            
              Created
              February 23, 2014 11:59
            
          
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## exposure-combine.py
name_time = []
for guts in expos:
    infile, expo = guts
    name_time.append((infile, dateutil.parser.parse(expo["flux_header"]["DATE"])))

stationary_list = list(name_time)
newlist = []
for infile, timestamp in stationary_list:
    temp = []
    for index, guts in enumerate(name_time):

## prob.py
from scipy.stats import chi2

def compare_chi2(first, second):
    """Given two dictionaries (usually simulated and actual),
    return the survival probability"""
    if len(first['J2000']) != len(second['J2000']):
        raise Exception
    return chi2.sf(np.sum((second['da'] - first['da'])**2 / second['eda']**2.0), len(first['da']) - 1)

average = keck_error.copy()

## 2014-03-17-directors-lunch.ipynb

      
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                jbwhit
                / 2014-03-17-directors-lunch.ipynb
            
            
              Last active
              August 29, 2015 13:57
            
              
                Some cool examples found in http://www.astroml.org/index.html and the corresponding book.
              
          
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## 2014-03-22-attached-unattached.ipynb

      
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                jbwhit
                / 2014-03-22-attached-unattached.ipynb
            
            
              Last active
              August 29, 2015 13:57
            
              
                preliminary results.
              
          
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	name_time = []
	for guts in expos:
	infile, expo = guts
	name_time.append((infile, dateutil.parser.parse(expo["flux_header"]["DATE"])))

	stationary_list = list(name_time)
	newlist = []
	for infile, timestamp in stationary_list:
	temp = []
	for index, guts in enumerate(name_time):
	from scipy.stats import chi2

	def compare_chi2(first, second):
	"""Given two dictionaries (usually simulated and actual),
	return the survival probability"""
	if len(first['J2000']) != len(second['J2000']):
	raise Exception
	return chi2.sf(np.sum((second['da'] - first['da'])2 / second['eda']2.0), len(first['da']) - 1)

	average = keck_error.copy()