reana-dms
Goal: Implementing REANA workflow for galaxy rotation-curve fitting analysis (RCFM) | Dark matter searches
Table of Contents
About The Project
REANA is a platform for reproducible data analysis workflows that can be run at scale. REANA has been used extensively for running containerized workflows of LHC experiments, like ATLAS, and for reinterpretation of published analyses. This project would aim to implement a REANA workflow for a galaxy rotation-curve fitting analysis (RCFM) to improve replicability and to provide a starting point for future work.
As an IRIS-HEP fellow for 2023, I will be working alongside my mentors to implement a REANA workflow specifically tailored for conducting galaxy rotation-curve fitting analyses.
Mentors
The project will be conducted under the mentorship of researchers at CERN.
- Lukas Heinrich (Technical University Munich)
- Matthew Feickert (UW-Madison)
- Amy Roberts (CU Denver)
- Giordon Stark (UC Santa Cruz)
Project deliverables
At the conclusion of the project, the following deliverables will be publicly available:
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REANA workflow for RCFM → We will publicly develop a comprehensive workflow that incorporates the necessary steps for conducting a reproducible galaxy rotation-curve fitting analysis. Researchers will be able to easily deploy and execute the workflow on REANA clusters, enabling reproducible and scalable analyses of galaxy rotation curves.
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Documentation → We aim to provide comprehensive documentation and user guides outlining the setup, execution, and interpretation of the REANA workflow for RCFM. The documentation will also include step-by-step instructions, example use cases, and best practices for configuring and running the workflow.
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Summary presentations → Presentations will be given on the status of the work to the IRIS-HEP collaboration at various meetings as part of the IRIS-HEP Fellow program.
Timeline
Presentations and Publications
License
Distributed under the MIT License. See LICENSE.txt for more information.
Contact
Sambridhi Deo - @Sam -deosambridhi@gmail.com
Project Link: https://github.com/Samcoodess/reana-dms
Acknowledgments
- IRIS-HEP fellowship
- Princeton research computing
- The Princeton Institute for Computational Science and Engineering (PICSciE)
- CERN
- US National Science foundation
- My mentors
