Monte Carlo simulation of neutron moderation
Project description
NeutroWater
NeutroWater is a Monte Carlo simulation designed to explore neutron moderation within a water-filled tank, focusing on analyzing neutron flux and energy distribution.
The project started under the University of Amsterdam's physics lab, which has a neutron source generating $9.3×10^5$ neutrons per second with energies of $3-10$ MeV. It's a blend of americium-241 (11 GBq activity) and beryllium-9. These neutrons can be used to activate other materials: by capturing a neutron, the mass number of the atomic nuclei increases, creating other isotopes.
The reason for this project is that we lacked data on neutron energy distribution and density in the tank, crucial for safety and activation efficiency.
Documentation
The complete documentation of NeutroWater is hosted on Read the Docs.
Instalation
Instalation instructions can be found under User Guide in the documentation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file neutrowater-0.0.3.tar.gz
.
File metadata
- Download URL: neutrowater-0.0.3.tar.gz
- Upload date:
- Size: 279.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.66.2 urllib3/1.26.5 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1121a4c99645a64184ab1a05b97fd128e3c9f02ac879ce248e046692ca3aae25 |
|
MD5 | dfde085dad5cb82c1233bab95191eddf |
|
BLAKE2b-256 | 05171fd99fe8ff6aed1c77e43284b7626922a0ab840f83796b21e63c14e36d76 |
File details
Details for the file neutrowater-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: neutrowater-0.0.3-py3-none-any.whl
- Upload date:
- Size: 282.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.66.2 urllib3/1.26.5 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ba5367ccd5a2bed6e48615e33c8f19f068e567f76adb8ea3dcc34427624c43dc |
|
MD5 | fade1cf219cd3622957572d96abe1553 |
|
BLAKE2b-256 | 7a607ee8b6309312aee6f34a40c31d7203c9dd7d861f271e8e2dc1257834d941 |