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Folks,<br>
<br>
Just created tags/sim-recon-dc-2.7. It has Paul
reproducibility-inducing change from yesterday. This is the tag for
data challenge 2, assuming no mistakes or serious bugs are found. I
have updated the "conditions" page.<br>
<br>
Note that the control.in_900? files that Richard prepared in the
conditions directory already have the random number seeding scheme
that he recommends below. Also as he says, no change to bggen has
been made.<br>
<br>
I think we are good to go.<br>
<br>
Since this is new tag, there is always the possibility that there is
something wrong. So if we need to stop, fix, and re-launch, that is
just part of life in big data city. We will discuss monitoring ideas
tomorrow.<br>
<br>
-- Mark<br>
<br>
<div class="moz-cite-prefix">On 03/20/2014 03:26 PM, Richard Jones
wrote:<br>
</div>
<blockquote
cite="mid:CABfxa3RmBxJmjeSGfNoOvZSZmu0VRK057xfM_NgQTt6fQ2B5ow@mail.gmail.com"
type="cite">
<div dir="ltr">Hello all,
<div><br>
</div>
<div>I implemented the code in bggen() to create a tuple of
integers representing the seed of the random number generator
at the start of each event, and store these in the output hddm
record for each event. The stated policy was that these were
to be used to initialize the state of the random number
generator at the start of each event, for all subsequent
stages of the simulation workflow (hdgeant, mcsmear).
However, at this late stage I am very wary of injecting
unchecked code into the dc-2 stack.</div>
<div><br>
</div>
<div>So... I ran a bunch of events, and some evidence of skewed
distributions showed up in the distribution of background (out
of time) beam photons coming from the internal generator in
hdgeant. Hence, I suspected that the initialization of the G3
random number generator using random seeds that come from the
outside might be problematic. Here are some words from deep
in the G4 documentation.</div>
<div><br>
</div>
<div>"Two integer seeds are used to initialise a sequence. <b>Not
all pairs of integers define a good random sequence</b> or
one which is independent from others. Sections of the same
random sequence can be defined as independent sequences. The
period of the generator is 2<sup>60</sup>≈10<sup>18</sup> . A
generation has been performed in order to provide the seeds to
start any of the generated sections. There are 215 possible
seed pairs and they are all 10<sup>9</sup> numbers apart. Thus
a sequence started from one of the seed pairs, after 10<sup>9 </sup>numbers
will start generating the next one."</div>
<div><br>
</div>
There are 2 ways to set the seeds in G3: use one of the 213 (no,
really) predefined sequences (what we are doing now), or come up
with your own pair of random ints and hope that the sequence is
reasonably well behaved. Apparently if you try enough different
random seeds, the chances that you hit the bad spots is pretty
high. Hence our observed skew. From a code snippet imbedded
deep in the G3 simulation for the Minos experiement:
<div>
<br>
</div>
<div>c Feeding seeds back to the GEANT random number generator
is dangerous</div>
<div>c because those seed settings are generally made assuming
that RANECQ</div>
<div>c is independent of GRNDMQ and can be hardcoded to reset
when some</div>
<div>c random bit of code gets called for the first time. Only
GEANT</div>
<div>c should ever initialize the seed.</div>
<div>c CALL GRNDMQ(JSEED,KSEED,1,'S')</div>
<div>
<br>
</div>
<div>So my recommendation: what we are doing now is correct.
Let's keep it like it is, and review the issue again when
hdgeant4 is up and running.</div>
<div><br>
</div>
<div>-Richard Jones</div>
</div>
<br>
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<br>
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</blockquote>
<br>
<pre class="moz-signature" cols="72">--
Mark M. Ito, Jefferson Lab, <a class="moz-txt-link-abbreviated" href="mailto:marki@jlab.org">marki@jlab.org</a>, (757)269-5295
</pre>
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