PyHEP 2022 (virtual) Workshop

Session

Plenary Session Monday

12 Sept 2022, 14:00

44. Welcome and workshop overview

Eduardo Rodrigues (University of Liverpool (GB))

12/09/2022, 14:00

18. Level Up Your Python

Henry Fredrick Schreiner (Princeton University)

12/09/2022, 14:10

Tutorial

This tutorial covers intermediate Python, dataclasses, errors, decorators, context managers, logging, debugging, profiling, and more. Participants are expected to have introductory Python knowledge, like basic syntax, function definitions, dicts, lists, and variables.

30. TheBureaucrat, a package to help you organize your work

Matias Senger (University of Zurich (CH))

12/09/2022, 15:10

Lightning talk

In science we deal a lot with data acquisition and analysis. The process until we draw a conclusion is usually very complex, involving the acquisition of several different datasets, and the application of many analysis procedures that in turn create new data. Moreover, we often want to repeat this procedure many times. This creates a lot of information that we have to store and keep well...

43. Histograms as Objects: Tools for Efficient Analysis and Interactivity

Aman Goel (University of Delhi), Jay Gohil (IRIS HEP Fellow)

12/09/2022, 15:20

Notebook talk

Histograms are a pillar of analysis in High Energy Physics. Particle physicists utilise histograms in order to find new particles, measure characteristics, and understand data activities. An instance of an application is fitting bumps in histograms to find particular interactions by accumulating huge amounts of data given that the probability of occurrence is low. The Scikit-HEP ecosystem...

3. PyHEP and the Climate Crisis [Cancelled]

Hannah Wakeling (McGill University)

12/09/2022, 15:50

Lightning talk

What can we really do as high energy physicists in our day-to-day programming lives to reduce HEP carbon emissions? In my lightning talk, I will present the key challenges and potential solutions which would make a real difference to the climate crisis.

13. Uproot, Awkward Array, hist, Vector: from basics to combinatorics

Jim Pivarski (Princeton University)

12/09/2022, 16:30

Notebook talk

This is an introduction to doing particle physics analysis with Scikit-HEP tools: Uproot, Awkward Array, hist, and Vector.

It starts at a basic level—exploring files, making plots—and ramps up to resolving e⁺e⁻e⁺e⁻, μ⁺μ⁻μ⁺μ⁻, and e⁺e⁻μ⁺μ⁻ final states in Higgs decays.

12. Python in the Belle II experiment

Yo Sato (KEK IPNS)

12/09/2022, 17:00

Notebook talk

The Belle II software framework, basf2, is newly designed to process the data taken in the Belle II experiment. A single task of data-processing is performed by a single basf2 module, and the basf2 modules are configured in an ordered sequence, called the basf2 path. All configuration of the basf2 module and steering of the basf2 path is done via Python. Moreover, Python plugin packages have...

38. Teaching Python the Sustainable Way: Lessons Learned at HSF Training

Alexander Moreno Briceño (Universidad Antonio Nariño), Aman Goel (University of Delhi), Guillermo Antonio Fidalgo Rodriguez (University of Puerto Rico at Mayagüez)

12/09/2022, 17:30

Notebook talk

With thousands of new members joining the HEP community every year, it is of paramount importance to have training strategies that are efficient and sustainable at scale. The HEP Software Foundation (HSF) Training Working Group offers workshops with this goal in mind. We present our goals, technical setup, and experiences with regard to the most recent training events. The talk also aims to...

23. Uhepp: Sharing plots in a self-contained format

Frank Sauerburger (Albert Ludwigs Universitaet Freiburg (DE))

12/09/2022, 18:00

Lightning talk

The uhepp (universal high-energy physics plots) ecosystem defines a
self-contained storage format that couples raw histogram data (like a TH1F) with the description of visual histogram stacks, styles, and labels. Since the raw histograms are retained and packaged in a single file, rebinning, recoloring, or merging of processes can be achieved easily at render time in a non-destructive way....

6. jacobi: Error propagation made easy

Hans Peter Dembinski (TU Dortmund)

12/09/2022, 18:10

Lightning talk

In HEP, we often use Monte-Carlo simulation or bootstrapping to propagate errors in more complicated scenarios. However, standard error propagation could be done in most cases, if it was easy to compute the derivatives of the mapping function. Jacobi is a new library which offers a very powerful, fast, easy-to-use, and robust numerical derivative calculator. In contrast to libraries which do...