From: Robert A. Knop Jr. (robert.a.knop@vanderbilt.edu)
Date: Thu Feb 27 2003 - 12:48:40 PST
On Thu, Feb 27, 2003 at 12:43:45PM -0800, Peter Nugent wrote:
> He adopted the Hatano, Branch and Deaton probability distribution as their
> prior. I can e-mail you a txt file of it if you so desire.
If the paper, or the probability distribution? I can easily get the
former, but if you have the latter that would be much appreciated.
I'm going to apply this to his dm15 fits. What I still don't understand
is just *how* the hell he used it. Here's what I think I know. He's
got an mb and an mv; from this he gets an E(B-V). He generates a highly
asymmetric error bar on E(B-V) which has a non-gaussian shape by
multiplying his measurement error (assumed to be gaussian) by this
prior.
What next? Does he *move* E(B-V) to the new value based on the prior?
(I.e., this prior is going to generate a probability distribution
function whose peak is offset from the old center.) If so, then he's
reddening *everything*, which is at odds with his list of AB=0 for most
of his supernovae. How does he use it? What did he do?
-Rob
-- --Prof. Robert Knop Department of Physics & Astronomy, Vanderbilt University robert.a.knop@vanderbilt.edu
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