Summary
xThe Nancy Grace Roman Space Telescope is anticipated to generate close to 30 petabytes of data during its five-year primary mission, heralding a new era of big data in astronomy. As data sets grow too large for personal computers, virtual science platforms offer a solution by providing cloud-based data processing and analysis. The Roman Science Platform is being developed to offer the astronomical community a cloud computing environment for Roman data. It couples data-code proximity with a pre-configured software environment, making it easier for users to work with data. The platform also includes pre-loaded notebook tutorials and scientific workflows tailored to specific astronomical use cases. Utilizing the JupyterLab environment, users can create Jupyter Notebooks that seamlessly integrate code, analysis results, data visualizations, and other functionalities for handling astronomical images and catalogs.
This one-day workshop will provide the scientific community with an introductory overview of the Roman Science Platform. In addition to offering hands-on training, we aim to gather feedback, understand the needs of the user community, and identify ‘early adopters’ interested in utilizing the system for precursor science prior to the Roman launch.
The workshop will include both directed training and independent exploration exercises (i.e., hack hours). The training will feature presentations and short tutorials, alternating with hands-on practical exercises focused on exploring several high-level workflows. Examples include an introduction to Roman data reduction tools, learning how to work with the ASDF file format, and using visualization and simulation tools such as Jdaviz (image visualization), Pandeia (Exposure Time Calculator), RIST (Roman Interactive Sensitivity Tool), STIPS (Space Telescope Image Product Simulator), and WebbPSF for Roman (PSFs simulator). Attendees will also learn how to access and analyze state-of-the-art Roman simulations from the Open Universe project (Troxel et al. 2023), which includes simulated wide-field and time-domain Roman data, as well as how to simulate their own data using Roman simulation tools
This course is aimed at astronomers and scientists at all stages of their education and careers. A basic knowledge of Python and familiarity with astronomical data concepts (e.g., data reduction, photometry) is expected. Prior experience with science platforms, Jupyter Notebooks, or the Roman mission is not required.
This workshop requires registration. Participants will need personal computers and should set up their accounts in advance with help from the workshop organizers. A group list will be compiled approximately one month before the workshop to distribute software requirements and facilitate collaborative troubleshooting.