diff options
| -rwxr-xr-x | fit_sbp.py | 48 |
1 files changed, 25 insertions, 23 deletions
@@ -3,9 +3,11 @@ # # Aaron LI # Created: 2016-03-13 -# Updated: 2016-07-04 +# Updated: 2016-07-12 # # Change logs: +# 2016-07-12: +# * Use a default config to allow a minimal user config # 2016-07-04: # * Remove unused classes "FitModelSBetaNorm" and "FitModelDBetaNorm" # * Fix minor typo @@ -61,12 +63,28 @@ Fit the surface brightness profile (SBP) with the single-beta model: or the double-beta model: s(r) = s01 * [1.0 + (r/rc1)^2] ^ (0.5-3*beta1) + s02 * [1.0 + (r/rc2)^2] ^ (0.5-3*beta2) + bkg +""" + + +import sys +import argparse +import json +from collections import OrderedDict + +import numpy as np +import lmfit +import matplotlib.pyplot as plt +from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas +from matplotlib.figure import Figure +from configobj import ConfigObj +__version__ = "0.7.0" +__date__ = "2016-05-06" + +plt.style.use("ggplot") -Sample configuration file: -------------------------------------------------- +config_default = """ ## Configuration for `fit_sbp.py` -## Date: 2016-05-06 name = <NAME> obsid = <OBSID> @@ -120,26 +138,8 @@ imgfile = sbpfit_dbeta.png rc2 = 30.0, 2.0, 5.0e2 beta2 = 0.7, 0.3, 1.1 bkg = 1.0e-10, 0.0, 1.0e-8 -------------------------------------------------- """ -import sys -import argparse -import json -from collections import OrderedDict - -import numpy as np -import lmfit -import matplotlib.pyplot as plt -from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas -from matplotlib.figure import Figure -from configobj import ConfigObj - -__version__ = "0.7.0" -__date__ = "2016-05-06" - -plt.style.use("ggplot") - class FitModel: """ @@ -791,7 +791,9 @@ def main(): # args = parser.parse_args() - config = ConfigObj(args.config) + config = ConfigObj(config_default.splitlines()) + config_user = ConfigObj(open(args.config)) + config.merge(config_user) # determine the model name if args.sbeta: |