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May 25, 2017
| # Jean-paul Ventura | ||
| # January 12, 2017 | ||
| # Modified: February 20th, 2016 |
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It's not clear what the significance of these dates are and I'm not sure that you need them because GitHub tracks when you change things.
| This function measures the equivalent width of spectral emission/absorption features. | ||
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| ==================== | ||
| Function parameters: |
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Is there a reason this is "Function parameters" and not "Arguments"?
| hdu = fits.open(filename) | ||
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| wavelength2 - wavelength value where continuum region to the left of the spectral feature ends. | ||
| # Define wavelength and flux arrays by accessing .fits sloan data |
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Does this code only work for sloan data? If so, include that in the description of the function in your docstring/readme
| fitl = np.array(m*lmbda + c) | ||
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| # Normalize the flux array by dividing it by the fitline. | ||
| nflux = flux/fitline |
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Where is the variable "fitline" defined?
| # Sum continuosly over the normalized flux array and assign result to a variable. | ||
| eqwi = sum(1-nflux[ewindx])*dlmbda | ||
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| # Calculate the uncertainty in the equivalent with measurement |
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| """ | ||
| # assign the number of monte carlo iterations to variable 'size'. | ||
| size = 3000 |
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"iter" might be a better variable name than "size"
| #Calculate line height of spectral emission feature | ||
| def line_height(filename,wavelength1,wavelength2,wavelength3,wavelength4): | ||
| """ | ||
| Tnis function calculates the emission line feature height as the vertical-distance between the |
| # Isolate the wavelength subarrays pertaining to both of the wings of the line feature | ||
| x1 = lmbda[coindx] | ||
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| #Isolate the normalized flux subarrays of the line features wings. |
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I can't find Victoria to initialize the code review... Only options listed are Kelle Cruz and Eileen Gonzalez.