In [2]:
    
%matplotlib inline
%config InlineBackend.figure_format='retina'
import os
from collections import OrderedDict
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import palettable
from starfisher.plots import plot_hess
from starfisher.pipeline import show_fit, show_sfh, show_sfh_line
    
In [3]:
    
from starfisher.pipeline import PipelineBase
from androcmd.planes import BasicPhatPlanes
from androcmd.phatpipeline import (
    ExtendedSolarIsocs, ExtendedSolarLockfile,
    NoDust, PhatCrowding)
from androcmd.phatpipeline import PhatCatalog
brick = 23
dataset = PhatCatalog(brick)
def init_pipeline(brick):
    pipeline = Pipeline(root_dir="b{0:d}_threez".format(brick),
                        isoc_args=dict(isoc_kind='parsec_CAF09_v1.2S',
                                       photsys_version='yang'))
    pipeline.fit('f475w_f160w', ['f475w_f160w'], dataset)
    # pipeline.fit('rgb', ['f475w_f814w_rgb'], dataset)
    pipeline.fit('ms', ['f475w_f814w_ms'], dataset)
    return pipeline
class Pipeline(BasicPhatPlanes,
               ExtendedSolarIsocs, ExtendedSolarLockfile,
               NoDust, PhatCrowding, PipelineBase):
    """A pipeline for fitting PHAT bricks with solar metallicity isochrones."""
    def __init__(self, **kwargs):
        print "MultiZPhatPipeline", kwargs
        super(Pipeline, self).__init__(**kwargs)
    
    
In [4]:
    
p = init_pipeline(brick)
    
    
In [5]:
    
show_fit(p, dataset, 'f475w_f160w', 'f475w_f160w')
    
    
    
The RGB is still being fit poorly.
In [7]:
    
show_fit(p, dataset, 'f475w_f160w', 'f475w_f814w_rgb')
    
    
In [8]:
    
show_fit(p, dataset, 'f475w_f160w', 'f475w_f814w_ms')
    
    
In [9]:
    
show_fit(p, dataset, 'ms', 'f475w_f814w_ms')
    
    
Extrapolated to the full Hess plane, this fit is entirely wrong.
In [10]:
    
show_fit(p, dataset, 'ms', 'f475w_f160w')
    
    
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