[ml] Statistics / software question
cm.hardware.software.elsewhere at gmail.com
Fri May 11 22:37:22 PDT 2012
The NaI(Tl) or better yet, CsI(Tl) is the stuff hard to get by.
We need to find a Jeriellsworthesque way to cook that in our own kitchen,
or at tastebridge.
Looks like it's time for my (nowadays) semi-annual dose of noisebridge
reality distortion soon.
Data: CSV, if you please.
On Fri, May 11, 2012 at 10:30 PM, Jake <jake at spaz.org> wrote:
> well i've stashed graphical plots of the bins, but I do not have stored
> raw data at this time because my java program what makes these graphics
> doesn't save the serial data to a file. oops.
> But i will correct that asap and start providing data. in the meantime
> you can look at these plots:
> and you will notice that there's absolutely no data there, it's all noise.
> I have determined that this is because my scintillating crystal of NaI(Tl)
> is "fried" meaning the person who sold it to me was an asshole, and the
> amount of blue light coming out of the crystal has nothing to do with the
> energy of the original gamma. Random data.
> fortunately I have other crystals (including a BGO crystal) and I will
> capture more data soon, which will hopefully look more like this:
> there is other data, from an older version of this detector with a
> different crystal (a nasty ruined crystal but maybe not quite fried)
> which you can look at here:
> On Fri, 11 May 2012, Christoph Maier wrote:
> Link to the raw data, please.
>> On Fri, May 11, 2012 at 8:55 PM, Wladyslaw Zbikowski
>> <embeddedlinuxguy at gmail.com> wrote:
>> Hi, my friend Jake has a little project for which we might be
>> able to
>> use some statistics expertise.
>> We are taking analog readings from a device (a voltage pulse).
>> voltage pulse represents the energy of a single X-ray particle
>> MeV). We know what the energy signature is supposed to look like
>> this particular radioactive material; i.e. there are peaks where
>> certain energies are highly represented, and valleys where other
>> energy levels are rare. So we would like to correlate our
>> with the expected signature.
>> The problems are:
>> 1. A lot of noise. We have a signal:noise ratio around 1:1 or as
>> as 4:1, because of background radiation and attempts at
>> 2. We don't know exactly how the voltage we read maps to MeV.
>> Voltage is a function of Energy, presumably linear, but we don't
>> exactly the scale (how many MeV per volt).
>> SO in short, we have a graph of our data, and we want to
>> force-fit it
>> to the graph we expect. My idea is to apply noise removal and
>> getting the closest possible match. Any thoughts on this? R?
>> Possible topic for a meetup? We can post the graphs and the
>> if anyone is interested to see.
>> Thanks in advance!
>> ml mailing list
>> ml at lists.noisebridge.net
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