Dear Rushan,
The LAM-BIAS card in your input has SDUM = INEPRI, but as the manual has it: SDUM = INEPRI inelastic hadronic interaction biasing, as requested by another LAM-BIAS card with SDUM = blank, must be applied only to primary particles. So it may be ignored, I'm not sure.
The BIASING cards will probably also do nothing because they are applied as particles travel from vacuum region to vacuum region. This will simply create replicas of the particles crossing those boundaries, but should not improve statistics. Importance biasing is typically useful for problems with strong attenuation and/or large geometries. The lecture from the latest FLUKA course is a good starting point for working with these techniques:
https://indico.cern.ch/event/694979/contributions/2927118/attachments/1657649/2654322/Biasing_2018.pdf
You may also find useful the exercise input file:
http://www.fluka.org/web_archive/earchive/prova/0339.html
Regards,
George
________________________________
From: owner-fluka-discuss_at_mi.infn.it <owner-fluka-discuss_at_mi.infn.it> on behalf of kabytayeva <kabytayeva_at_jinr.ru>
Sent: Sunday, March 3, 2019 5:48:29 PM
To: Fluka Discuss
Subject: [fluka-discuss]: LAM-BIAS and BIASING
Hello dear FLUKA experts !
My problem is statistics.
I would like to use LAM-BIAS and BIASING cards to reduce computation
time by increasing particles, but nothing happens ...
I will be glad to help and any advice!
Thank you in advance!
--
========================================================================
С уважением,Раушан Кабытаева e-mail:
kabytayeva_at_jinr.ru
Best regards, Raushan Kabytayeva tel: +7(49621)62517
engineer of the RIB group
Scientific and Technical accelerator department
Flerov Laboratory of Nuclear Reactions
International Intergovernmental Organization
Joint Institute for Nuclear Research Joliot-Curie, 6
Bld 131, office 408
141980, Dubna, Moscow region, Russia
========================================================================
__________________________________________________________________________
You can manage unsubscription from this mailing list at https://www.fluka.org/fluka.php?id=acc_info
Received on Wed Mar 06 2019 - 14:58:32 CET