Martin White, Professor

Closed (1) Data Visualization and Quality Assurance for the Dark Energy Spectroscopic Instrument

Closed. This professor is continuing with Spring 2021 apprentices on this project; no new apprentices needed for Fall 2021.

The Dark Energy Spectroscopic Instrument (DESI) will make a 3D map of the universe, observing tens of millions of galaxies, quasars, and stars over the course of a 5 year survey starting late 2019. The data from this project will study dark energy cosmology leading to some of the premier cosmology results of the 2020s. Come help us prepare for this exciting new dataset by developing data visualization tools to monitor survey progress and assess data quality.

The student will work with the DESI Data Systems team to develop a survey progress dashboard and data quality monitoring tools. They will learn pragmatic methods for working with astronomy/cosmology survey datasets and learn the nuts and bolts of efficient survey operations. The tools developed by this student will be used by the ~500 person DESI collaboration to maintain high efficiency while performing the DESI survey. The specific tasks will be tuned to match the skills and interests of the selected student.

Day-to-day supervisor for this project: Stephen Bailey, Staff Researcher

Qualifications: Required: - Physics or astronomy major with an interest in computing; or CS or Data Science major with an interest in cosmology/astronomy/physics - Prior experience with programming (any language) Desirable but not essential: - Have taken introductory astronomy / cosmology / physics courses - Prior experience with Python - Prior experience with Javascript, HTML, or web framework toolkits

Weekly Hours: to be negotiated

Off-Campus Research Site: Lawrence Berkeley National Lab building 50

Related website: https://desi.lbl.gov
Related website: https://github.com/desihub