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- To compare the PS1MD fields (those above) to the SDSS fields, I generated a plot for just the SDSS SN and fit a single mode Gaussian to them
- The fitting information is like that above, with similar constraints
- The fit did select a dip at a similar position to that noted above (though somewhat narrower). This data mays also show evidence of an earlier dip (around z ~0.18) that I do not note in the PS1MD fields above (perhaps because of insufficient sampling)
- In light of the above, I have attempted to fit the PS1MD, SDSS, and SNLS data (the three sets with numerous SN) simultaneously with a single function
- I started with a sine function of the form: res(z) = A * sin(omega * x + phi) + shift
- With A, omega, phi allowed to vary, but forced to be the same between all data sets
- shift is allowed to vary independently
- I ran the fit 7 times for each of the different possible combinations of data (each data set alone, the 3 2-set combinations, and all three simultaneously).
- The plots show both unbinned data (top panel) and binned data (bottom panel). The fits are always run on the unbinned data.
- I started with a sine function of the form: res(z) = A * sin(omega * x + phi) + shift