jppy 3.0.0a6

Jpp Python Package

The jppy Python package

This software provides Python access to functionalities in Jpp, like accesing PDF functions.

It currently depends on a few Jpp headers (no Jpp compilation needed) and on ROOT TMath (a compiled ROOT installation is needed).

Note: Beware that this package is WIP!

Installation

The package can be installed via pip directly from the Git repository:

pip install git+https://git.km3net.de/km3py/jppy

or from a local clone:

git clone https://git.km3net.de/km3py/jppy
pip install jppy/

Example - Using PDFs

Here is an example how to play around with muon PDFs using the jppy module:

In [1]: import jppy

In [2]: jppy.pdf.JMuonPDF?
Docstring:      <no docstring>
Init docstring: __init__(self: jppy.pdf.JMuonPDF, file_descriptor: str, TTS: float, number_of_points: int = 25, epsilon: float = 1e-10) -> None
File:           ~/dev/pybind/jppy.pdf.cpython-37m-x86_64-linux-gnu.so
Type:           pybind11_type
Subclasses:

In [3]:
Do you really want to exit ([y]/n)? n

In [3]: muon_pdf = jppy.pdf.JMuonPDF("/pbs/throng/km3net/src/Jpp/master/data/J%p.dat", 0)
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J1p.dat... OK
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J2p.dat... OK
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J3p.dat... OK
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J4p.dat... OK
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J5p.dat... OK
loading input from file /pbs/throng/km3net/src/Jpp/master/data/J6p.dat... OK
adding PDFs... OK

In [4]: muon_pdf.calculate?
Docstring: calculate(self: jppy.pdf.JMuonPDF, E: float, R: float, theta: float, phi: float, t1: float) -> JTOOLS::JResultPDF<double>
Type:      method

In [5]: result = muon_pdf.calculate(10, 5, 0, 0, 23)

In [6]: result.f
Out[6]: 0.0015357848280127355

In [7]: result.fp
Out[7]: -2.228096911939611e-05

In [8]: result.v
Out[8]: 0.02490276362751662

In [9]: result.V
Out[9]: 0.1164929687159807

In [10]: %timeit muon_pdf.calculate(10, 5, 0, 0, 23)
2.13 µs ± 242 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)