dorsal/arxiv
View SchemaUpgrade of the Cellular General Purpose Monte Carlo Tool FOAM to version 2.06
| Authors | S. Jadach, P. Sawicki |
|---|---|
| Categories | |
| ArXiv ID | physics/0609068 |
| URL | https://arxiv.org/abs/physics/0609068 |
Abstract
FOAM-2.06 is an upgraded version of FOAM, a general purpose, self-adapting Monte Carlo event generator. In comparison with FOAM-2.05, it has two important improvements. New interface to random numbers lets the user to choose from the three "state of the art" random number generators. Improved algorithms for simplical grid need less computer memory; the problem of the prohibitively large memory allocation required for the large number ($>10^6$) of simplical cells is now eliminated -- the new version can handle such cases even on the average desktop computers. In addition, generation of the Monte Carlo events, in case of large number of cells, may be even significantly faster.
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"date_created": "2026-03-02T18:01:11.168000Z",
"date_modified": "2026-03-02T18:01:11.168000Z",
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"record": {
"abstract": "FOAM-2.06 is an upgraded version of FOAM, a general purpose, self-adapting\nMonte Carlo event generator. In comparison with FOAM-2.05, it has two important\nimprovements. New interface to random numbers lets the user to choose from the\nthree \"state of the art\" random number generators. Improved algorithms for\nsimplical grid need less computer memory; the problem of the prohibitively\nlarge memory allocation required for the large number ($\u003e10^6$) of simplical\ncells is now eliminated -- the new version can handle such cases even on the\naverage desktop computers. In addition, generation of the Monte Carlo events,\nin case of large number of cells, may be even significantly faster.",
"arxiv_id": "physics/0609068",
"authors": [
"S. Jadach",
"P. Sawicki"
],
"categories": [
"physics.comp-ph"
],
"title": "Upgrade of the Cellular General Purpose Monte Carlo Tool FOAM to version 2.06",
"url": "https://arxiv.org/abs/physics/0609068"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "8965da7c-fb35-4528-896f-9aea1b762692",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}