CNF:Monte Carlo Event Generator using a Tessellation: Difference between revisions
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# Use Lebesque integral ✔ | # Use Lebesque integral ✔ | ||
# Incorporate Smart Look-up table utilities ✔ | # Incorporate Smart Look-up table utilities ✔ | ||
# Extend Monte Carlo Event Generation to work with negative values using: | |||
## [https://odu.app.box.com/s/1jrq704pytgxafz9tvoe12jmbsjuc9rg Tessellation Document] | |||
# Add importance sampling point generation inside simplex (TODO) | # Add importance sampling point generation inside simplex (TODO) | ||
= References = | = References = | ||
[https://github.com/gavalian/clas12ai/blob/add-crtc-ml/cnf/main.cc Gagik's MC kernel] | [https://github.com/gavalian/clas12ai/blob/add-crtc-ml/cnf/main.cc Gagik's MC kernel] | ||
Revision as of 13:06, 29 September 2020
Repository
Documentation
Summer 2020
- Add README.md file ✔
Code
Summer 2020
- Organize Gagik's code ✔
- Add command-line interface ✔
- Template code for 2-3 dimensions using:
- Replace linear search (O(n)) of tetrahedrons with given weight threshold with binary search (O(log(n))) ✔
- Parallelize code using OpenMP ✔
Fall 2020
- Use Lebesque integral ✔
- Incorporate Smart Look-up table utilities ✔
- Extend Monte Carlo Event Generation to work with negative values using:
- Add importance sampling point generation inside simplex (TODO)