np2mcpl
np2mcpl is a low-key tool to help write mcpl-files directly from numpy-arrays.
Build/Install/Use
- Make sure you have installed the MCPL-library (and NumPy)
- Build the python/c module:
python setup.py build - Add the build directory to PYTHONPATH or run:
python setup.py install - In your python script:
import np2mcpl - Create a numpy array and save it. E.g. :
np2mcpl.save("output",M)
Notes and limitations
- np2mcpl takes as input a 2D NumPy array with 10 or 13 columns, where the columns are assumed to be:
PDG-code x y z ux uy uz t e_kin weight [ px py pz ]
where the PDG-code denotes which kind of particle it is, e.g. 2112 for neutrons, 22 for photon, ... as documented here: Particle Numbering Scheme
- The vector ux,uy,uz must have unit length. The optional vector px,py,pz is the polarisation vector associated with the Monte Carlo-particle.
- Units follow the MCPL-standard. I.e. x,y,z in cm, e_kin in MeV, t in ms.
- The input array is expected to be made of floating point numbers (including the PDG-code) in either double or single precision. If the numpy array is in single precision, this will be reflected in the mcpl-file.
1 maintainer
Metadata
1 maintainer
Release files for np2mcpl 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| np2mcpl-0.1.0.tar.gz | 5.5 kB | Without provenance | Details |
Release files / np2mcpl-0.1.0.tar.gz
| Download URL | np2mcpl-0.1.0.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
559463ef9e065a2edc0bcb7db0afc6a6bff758b0cfd3a35d013f25c38f0ae83c
|
|
BLAKE2b-256 checksum How to use checksums |
20e4ea4777961072ef37cfcea3129b31fdd54bcba4a72963a9e1b5da853c884a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Security for np2mcpl 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
