Hi Matthew,
On Tue, Feb 22, 2011 at 9:42 PM, Matthew Marcus wrote:
> Should the line
> out[i] = (x[i+1] - x[i])/2.0
> be
> out[i] = (x[i+1] - x[i-1])/2.0 ?
>
> That would account for the 2.0. That is, in fact, exactly what I proposed
> was meant by 'numerical differential'.
Yes, so
- Original Message -
From: "Matt Newville"
To: "XAFS Analysis using Ifeffit"
Sent: Tuesday, February 22, 2011 5:28 PM
Subject: Re: [Ifeffit] Purple & Red E Derivatives
Hi Bruce, Matthew,
Oh, deriv() (and smooth()) are not nearly as sophisticated as what
Matthe
Hi Bruce, Matthew,
Oh, deriv() (and smooth()) are not nearly as sophisticated as what
Matthew suggests. They are simply applied to a single array,
sequentially, without regard to "the x axis" (as, in fact, it does
not know what x might be):
Deriv would translate (sorry for the python) to
def de
On Tuesday, February 22, 2011 06:19:16 pm Matthew Marcus wrote:
> > The numerical derivative
> > is computed as the numerical differential of the mu(E) spectrum
> > divided by the numerical differential of the energy array. Smoothing
> > happens as explained above. Justw atch the lines that get p
The numerical derivative
is computed as the numerical differential of the mu(E) spectrum
divided by the numerical differential of the energy array. Smoothing
happens as explained above. Justw atch the lines that get printed to
the buffer when you click the plot buttons. - B. Ravel
I wonder if
On Tuesday, February 22, 2011 05:03:02 pm Andrew Korinda wrote:
> While working in Athena today I noticed something peculiar while
> looking at the derivative plots of mu(E) data. When I plot the current
> group (red button) the plot can be spiky. However, when I plot as
> marked group (purple butt
While working in Athena today I noticed something peculiar while
looking at the derivative plots of mu(E) data. When I plot the current
group (red button) the plot can be spiky. However, when I plot as
marked group (purple button) everything is much smoother and more
rounded. Smoothed data will do
