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Issue70 covariance #71

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merged 2 commits into from
Jul 5, 2019
Merged

Issue70 covariance #71

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07b12ff
Ignored covariance of parameters warning and updated documentation to…
kaashmonee Jul 4, 2019
d90f356
Got rid of extraneous non-used function
kaashmonee Jul 4, 2019
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4 changes: 2 additions & 2 deletions fitsfile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,8 +114,8 @@ def get_true_peaks(self, show=False):
y0 = y1-left_range
y2 = y1+right_range

# Ensure that the ranges do not exceed the width and height of the
# image
# Ensure that the ranges do not exceed the width and height of
# the image
if y0 <= 0: y0 = 0
if y2 >= image_height: y2 = image_height
rng = (y0, y2)
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12 changes: 6 additions & 6 deletions gaussfit.py
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Expand Up @@ -4,6 +4,7 @@
from astropy import modeling
import matplotlib.pyplot as plt
import math
import warnings

class Peak:
def __init__(self, x, y):
Expand All @@ -13,9 +14,6 @@ def __init__(self, x, y):
self.width = None # the sigma value of the fitted Gaussian


def non_int_to_int(iterable):
return [int(x) for x in iterable]

def gauss(x, amp, cen, wid):
"""
Gauss fitting function. Using the precision (tau) to define the width of the
Expand Down Expand Up @@ -66,9 +64,11 @@ def fit_gaussian(fits_file, rng, peak, show=False):

# To determine the p0 values, we used the information here:
# https://stackoverflow.com/questions/29599227/fitting-a-gaussian-getting-a-straight-line-python-2-7.
popt, pcov = scipy.optimize.curve_fit(gauss, x, y,
p0=[peak_value, mean, sigma],
maxfev=10000)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
popt, pcov = scipy.optimize.curve_fit(gauss, x, y,
p0=[peak_value, mean, sigma],
maxfev=10000)


mean_intensity = popt[0]
Expand Down