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.
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]