From: Alexander Conley (AJConley@lbl.gov)
Date: Mon Nov 08 2004 - 14:15:15 PST
Okay -- next item. Resids versus subsample.
At low-z, the mean resid and error are:
Hamuy: 0.02163 +- 0.0466 (14 SNe)
Riess: 0.05203 +- 0.0654 (6 SNe)
Jha: -0.06338 +- 0.1169 (6 SNe)
Other: -0.01193 +- 0.1073 (6 SNe)
The means are not significantly different, but the Jha and Other
samples seem to
have a lot more scatter (as evidenced by their larger scatter). These
HAVE been
divided by sqrt(N).
By Kcorr type,
R->B : 0.0027 +- 0.04844 (21 SNe)
I->B : 0.04816 +- 0.115619 (3 SNe)
As you can see, the problem is that there are so few I->B available
that you can't
say much.
On Knop vs. Barris, I have done plenty of work. I refer you to the end
of section 8.3
(around page 77) in the methods document, as well as Fig 28 and 29. I
went further
here and actually did some MC simulations to try and figure out how
significant the
difference was. The difference is 0.31 mag ignoring extinction, and
this shrinks
to 0.16 if you extinction correct. If you RMS/sqrt(N) you see that
this is
about 2 sigma before and 1 sigma after. Monte-Carlo suggests that the
difference
is actually a bit more significant -- 3 sigma and 1.6 sigma,
respectively.
Alex
This archive was generated by hypermail 2.1.4 : Mon Nov 08 2004 - 14:15:14 PST