Microservices for KM3NeT
This Python package provides access to KM3NeT microservices. It’s in an early development stage and the API will likely change any until v1.0.0 is released.
Installation
As usual, install with pip:
pip install km3services
Available Microservices
OscProb
The km3services.oscprob module wraps the OscProb package to calculate neutrino oscillation probabilities. Here is an example how to calculate the transition probabilities from muon to electron neutrino (the API will be polished soon):
from km3services.oscprob import OscProb
import numpy as np
oscprob = OscProb() # here you can pass a different server/port
n = 1000
energies = np.random.randint(1, 50, n) # generate `n` energies between 1-50 GeV
cos_zeniths = -np.random.rand(n) / 2
# Use PDG particle encoding!
flav_in = 12 # electron neutrino
flav_out = 14 # muon neutrino
probabilities = oscprob.oscillationprobabilities(flav_in, flav_out, energies, cos_zeniths)
print(probabilities)
The returned probabilities is a numpy array:
[4.20254330e-03 7.46278836e-05 6.18139696e-04 4.03814960e-03 3.38002558e-03 3.33962606e-04 4.53159234e-02 5.03111960e-02 ... 2.23391190e-03 2.07540790e-03 6.71385177e-03 3.03348121e-02 1.86633322e-02 4.81416626e-03 4.55362912e-05 3.59935810e-03]
Metadata
Release files for km3services 0.4.2
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 | Actions |
|---|---|---|---|---|
| km3services-0.4.2.tar.gz | 38.5 kB | Without provenance | Details for km3services-0.4.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| km3services-0.4.2-py3-none-any.whl | Python 3 | none | any | Details for km3services-0.4.2-py3-none-any.whl |
Total release size: 45.0 kB
Release files / km3services-0.4.2.tar.gz
| Download URL | km3services-0.4.2.tar.gz |
|---|---|
| Size | 38.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4c735e409c4bf559f51016f9323b8dbdf667d090e1dd3ad710904162a411228a
|
|
BLAKE2b-256 checksum How to use checksums |
eeabd7461b7b3cd8bd7e22c733f00eaba87faafc476d1b8d5b5f5e37c622968f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.1
|
Release files / km3services-0.4.2-py3-none-any.whl
| Download URL | km3services-0.4.2-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6fc38058985a5a68649f2017f36d08ba43e93493b0e990c54b1929539b93598f
|
|
BLAKE2b-256 checksum How to use checksums |
1196650bb0f5c3b14bbee743aff6e410d78de03658509924919655d350e90629
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.1
|
Security for km3services 0.4.2
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.