Choose timezone
Your profile timezone:
Training on Analysis Preservation (Virtual)
→
US/Eastern
Virtual
Virtual
, , ,
Description
What is analysis preservation?
The data set produced by experiments in HEP is awesome! All experiments around the world are working to make the most of it by creating innovative analyses to learn from the data set. However, these analyses should not disappear when the people who wrote the code move on. Luckily, throughout the course of the years, a number of tools have permeated HEP computing culture that can be used to help ensure that analyses are preserved in a robust way, thereby facilitating the reproduction of our own results. This training event aims to introduce analyzers who are already proficient in essential analysis tools and concepts (e.g. C++, Python, event selection, limit setting) to the next level of robust analysis. This includes CI/CD, Dockerization, Apptainer, and more tools that are used throughout all corners of the industry.
Is this for me?
If you have ever spent hours banging your head against code that someone gave you as a starting point, either because it doesn’t compile or segfaults immediately upon running or simply spits out empty histograms - this training event is for you. If you know someone who thinks that Docker is so great and won’t stop advocating for it - this event is for you. If you are going to be doing science at HEP in the future - this event is for you. And if you are considering moving to a career outside of academia - this event is for you.
This training will be particularly useful for those who are in the midst of an analysis at the moment, as it will give you know-how about tools that you can put into practice immediately. However, this is not a pre-requisite for attending, but rather it will be of greatest utility for such individuals.
What is the format of this workshop?
The main part of of the workshop is you learning asynchronously with pre-recorded videos and training material. This means that you can profit from this workshop no matter your time zone! During the whole time we offer assistance via slack.
On the first day, we offer a central kickoff session, help with the setup, and one live lecture. These are only in one timezone, but don't worry if you cannot make it (you can still profit from the rest of the workshop and they will also be recorded).
On the last day, we will offer small-group mentoring sessions (different sessions for all time zones) to help you answer additional/advanced questions and apply your new knowledge to your own analysis. There will also be one more live lecture.
What exactly will I learn?
- Docker (training material)
- Singularity (Singularity/Apptainer)
- GitHub Actions (training material) or GitLab CI (training material)
- Additional topics (lectures)
Are there any prerequisites?
Yes!
- Familiarity with git (very important!)
- Know how to create repositories
- Know how to edit and push files
- You should have an account either with github.com, gitlab.com, or gitlab.cern.ch
- Some familiarity with the linux command line
- Some familiarity with python
Who is supporting this?
This event is supported by CERN and U.S. National Science Foundation Cooperative Agreement OAC-1836650 (IRIS-HEP)
Who is teaching this thing?
This is a hands-on training and consists of asynchronous lectures by the instructor via video recordings. Along with this, there are mentors who will give individual attention and to debug assistance to participants via chat tools. The people filling these roles are listed below.
Instructors:
- Docker:
- Brendan Regnery
- Singularity:
- Marco Mambelli
- Kilian Lieret
- Wouter Deconinck
- Michel Villanueva
- Aman Desai
- GitHub:
- Emery Nibigira
- GitLab:
- Giordon Stark
Mentors :
- Aman Desai
- Aman Goel
- Emery Nibigira
- Giordon Stark
- Guillermo Fidalgo
- Jaydip Singh
- Kilian Lieret
- Marco Mambelli
- Matt Snyder
- Michel Villanueva
- Wouter Deconinck
Participants
Adrian Rubio Jimenez
Anezka Klustova
Anja Gauch
Blaž Leban
Bogdan Wiederspan
Brendon Bullard
Carlos Solano
Caspar Schmitt
Cristina Mendonça
DANIEL ELMER PARADO SOSA
Daniela Koeck
Daniele Dal Santo
Danielle Joan Wilson
Daniil Ponomarenko
Dat Tran
David Friday
Denys Timoshyn
Dongwon Kim
Ehiz Rendezvouz
Elena Mazzeo
Elena Volkova
Elizabeth Sexton-Kennedy
Ellinor Eckstein
Elliott Kauffman
Emanuele Villa
Fang-Ying Tsai
Fernando Souza
Florian Eble
Gajendra Gurung
Grigory Nigmatkulov
Hilary Utaegbulam
Ines Ochoa
Ishwar Singh
Jaesung Kim
Jared Little
Jaydip Singh
Joaquin Hoya
Jonathan Long
Judita Mamuzic
Julian Nowak
Kolja Kauder
Laura Nasella
Lea Halser
Leonardo Cristella
Leonardo Peres
Lorenz Gärtner
Lorenzo Giannessi
Lorenzo Viliani
LUIS ALEJANDRO CHANQUETTI HERRERA
Magdalena Slawinska
Mahesh Kumar Saini
Manasvi Goyal
Marcel Rieger
Marco A. Ayala Torres
Marvin Ascencio
Mathis Frahm
Matt Snyder
Matteo Barbetti
Mattia Lizzo
Maura Barros
Maxim Potekhin
Michael Kent Wilkinson
Monika Mittal
Mourad Hidaoui
Munera Alrashed
namrata manglani
Nathan Prouvost
Ngoc Khanh Vu
Nicholas Luongo
Nihal Brahimi
Oda Kristin Berg Langrekken
Orhan Cakir
Patricia Rebello Teles
Paulo Almeida
Piergiulio Lenzi
Piet Nogga
Qiuping Shen
Reza Jafari
Riccardo Maria Bianchi
Richa Sharma
Sanha Cheong
Santiago PenaMartinez
Sayeed Akhter
Shahid Khan
Shahzad Sanjrani
Shalini Epari
Shivam Kulshrestha
Shiwen An
Shuhui Huang
Shuwei Ye
Sierra Thomas
Soumya Dansana
Stacyann Nelson
Svetlana Karpova
Trisha Farooque
Victoria Sanchez Sebastian
Xuliang Zhu
Yajing Wei
Yogendrasingh Pawar
Yuan-Tang Chou
Zhaoyu Yang
Surveys
Post-workshop survey
