Software Tutorial

Tuesday 5 May 2020, 16:30 → 19:30 Europe/Stockholm

zoom room

A tutorial focused on updating collaborators used to prior versions of ldmx-sw to the (soon to be released) ldmx-sw v2.0.

https://umn.zoom.us/j/96135662900

Tutor: Tom Eichlersmith, University of Minnesota eichl008@umn.edu

EichlersmithT_2020_05_05_ldmxsw2_tutorial.pdf

EaT Project Example Python module run.py

Basics: Learn how to write a basic python configuration file.

basic.py

Installation Wiki https://github.com/LDMX-Software/ldmx-sw/wiki/Installing-ldmx-sw

Process Basics Wiki https://github.com/LDMX-Software/ldmx-sw/wiki/Running-and-configuring-ldmx-app

Sim Basics Wiki https://github.com/LDMX-Software/ldmx-sw/wiki/Generating-Simulation-Samples

16:50 Practice

Let's run a basic configuration to see if it works.

Analysis: Learn how to kickstart an analysis

anamake.sh

ana.py

newproc.sh

ldmx-analysis repo https://github.com/LDMX-Software/ldmx-analysis

NewProcessor.py script https://github.com/LDMX-Software/ldmx-sw-scripts/blob/master/utils/NewProcessor.py

17:20 Questions

Pause for coffee break or more questions.

Advanced: More details about python simulation parameters

More advanced details such as biasing, filters, and other generators.

advanced.py

skim.py

Sim Details Wiki https://github.com/LDMX-Software/ldmx-sw/wiki/Configuring-the-Simulation

18:00 Example

Tom shares his more advanced use case for the EaT project.

18:10 Questions