Dear Ricardo
Thanks for your reply.
Sorry, in previous mail, some equations are not visible properly. Kindly
consider this mail.
I have gone through the pdf and some of my doubts are not cleared.
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 s=
imulated 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 ge=
t 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 FL=
UKA input, we are giving only total no history, not the batch size, what do=
es FLUKA decide as batch size? Is there any predefined parameter assigned f=
or batch size? For central limit theorem to be valid, the sample size shoul=
d be greater than 30 so that whatever be the population distribution, the s=
ampling distribution of sample means will always be a normal distribution.=
2. For each sampling distribution of sample (or batch) means, the central l
imit 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), =CF=83 =3D SD of population distrib
ution. Now for spawn 1, generally we give 5 cycles. So we will get 5 an
d 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 res=
ults to get a single value of and for our estimator
Thanks and Regards
Jyoti
__________________________________________________________________________
You can manage unsubscription from this mailing list at
https://www.fluka.org/fluka.php?id=acc_info
--=_d61a52f6-0143-4d55-bb30-52fa6265a701--
Received on Thu Dec 19 2019 - 13:42:51 CET