pymcabc
Author
Aman Desai
Description
Monte Carlo Event Generator for the ABC theory
Installation
pip install pymcabc
Physics
The physics of ABC model (theory) is described in Grifiths and Aitchison.
Simple script to start using the package:
- Import pymcabc:
import pymcabc
- Define the process, for example:
pymcabc.DefineProcess('A A > B B',mA=4,mB=10,mC=1,pi=30)
- Calculate the total cross section of the process (in barn):
pymcabc.CrossSection().calc_xsection()
- Generate and Save events using a single command. Select whether to allow final state particle decays or not. Also select whether to apply detector effects on particle.
pymcabc.SaveEvent(10000,boolDecay=True,boolDetector=True).to_root('name.root')
- Analyze the root file. Basic analysis is possible by calling the
PlotDatamodule
pymcabc.PlotData.file('name.root')
References
- For physics involved in the calculation, see for example, Introduction to Elementary Particles, David Griffiths.
1 maintainer
Release files for pymcabc 1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pymcabc-1.1.tar.gz | 13.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymcabc-1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.9 kB
Release files / pymcabc-1.1.tar.gz
| Download URL | pymcabc-1.1.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / pymcabc-1.1-py3-none-any.whl
| Download URL | pymcabc-1.1-py3-none-any.whl |
|---|---|
| Size | 14.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4421eccf3b6fc12f279a1905dd1b41d1efa577ee2b7f4f702ef4bc5b09510f70
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
