Cloud Radial Profiles

We include here both the average radial profile and the ensemble of individual profiles taken across each cloud. For full details on how the radial profiles are built, see Section 3 of Zucker et al. 2021. To load in the results in Python, use the following code: Untitled In [ ]: import pickle fn = 'perseus_profile.pickle' profile_results = pickle.load(open(fn,'rb')) #to extract an array corresponding to the midpoint of the radial distance bins #bins are spread equally apart between 0 and 20 pc, with a bin width of 0.5 pc (nbins = 40) #array is of shape (nbins,) radial_distance_bins = profile_results['radial_distance_bins'] #to extract the ensemble of profiles, measured in volume density space #array is of shape (ncuts,nbins), with each cut the measured profile at a different point along psine ensemble_radial_profiles = profile_results['ensemble_radial_profiles'] #to extract the average profile of all cuts #array is of shape (nbins,) average_profile = profile_results['average_radial_profile']