Dear Iyoti
sorry for the late answer,.
Maybe there is some ambiguity with terminology in the documentation. Qhen
discussing results and statistics, we are using the word "batch" as a
synonym for "cycle" . Fluka does NOT divide the number of histories given
in the START card. They will all be processed together in the same batch,
or cycle.
So, if you spawn 10 runs with 5 cycles each, you'll get a total of 50
batches, each one containing the number of histories as set in the START
card
This is what is used for the statistics
Hope it's clear
Happy New Year to you and to all FLUKA users!
Paola
>
> Dear FLUKA experts,
>
> This is a gentle reminder of the query that I asked before. It will be
> helpful
> for me if you kindly respond my quires. Also, wish you all a happy new
> year.
>
>
>
> 1. In FLUKA, suppose, no of histories (N) = 1E+5. The spawn value = 10 =
> and no of cycles = 5.
>
> So, when spawn = 1, cycle = 1, these 1E+5 no of histories will not be
> simulated together. Rather, it will be divided into X no of batches with
> N/X
> histories. For each batch, we will get a mean value of our estimator. So,
> for X no of batches, we will get X no of means which if we plot, we will
> get a sampling distribution of sample (or batch) means. Is my concept
> correct?
>
> If it is correct, then we can call this X as sample size. Now, since, in
> FLUKA input, we are giving only total no history, not the batch size, what
> does FLUKA decide as batch size? Is there any predefined parameter
> assigned for batch size? For central limit theorem to be valid, the sample
> size should be greater than 30 so that whatever be the population
> distribution, the sampling
> distribution of sample means will always be a normal distribution.
>
>
> 2. For each sampling distribution of sample (or batch) means, the central
> limit
> theorem is valid. Also, each distribution has their own mean ( )(mean of
> sampling distribution of sample means) and standard deviation ( ) (SD of
> sampling distribution of sample means).
>
> Each SD satisfy the relation where x = a random variable of our estimator,
> X = no of batches (or sample size), sigma = SD of population distribution.
> Now for spawn = 1, generally we give 5 cycles. So we will get 5 and 5 .
> Then what is the method to get the final SD of our estimator?
>
> For spawns > 1, many such and will be generated. How can we merge those
> results to get a single value of and for our estimator?
>
>
>
>
> I have also attached the word file for my queries (Since some equations
> are=
> not visible). Please find attached.
>
>
>
>
>
>
> Thanks and Regards
>
> Jyoti
>
>
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>
> ------=_Part_19801211_771108197.1577850559891--
>
>
>
>
> __________________________________________________________________________
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Received on Wed Jan 01 2020 - 13:43:31 CET