Chair: Federica

Day 1 - 2021-10-28

Details of the workshop can be found here

Introduction - Federica

Fed presented an overview of the software environment for science with Rubin data, including the alert brokers, the LINCC Computing facilities. She highlighted the plans for providing software training workshops as part of the Preparing for Astrophysics Program. TVS is one of the formal recipient groups for the Rubin International In-kind Process, and software effort is one of the contributions that groups have offered.

Software projects

Teams that have proposed specific software development projects were invited to give an overview.

Lightcurves

• Angelica Kovacevic presented the frequency-time domain periodicity mining pipeline.
• Matteo Monelli presented a concept for software to identify, classify and characterize pulsating periodic stars within the Rubin data.
• Federica Bianco presented "Rubin Rhapsodies", a package to sonify Rubin lightcurves as sound timeseries to enhance the comprehension of data using different brain mechanisms.

Classification

• Robert Szabo presented a machine learning approach to classifying variable stars.
• Tim Naylor presented the application of legacy survey data (e.g. VISTA, WISE, Gaia) in classification.
• Sara Bonito presented software under development to classify Young Stellar Objects

Cross-matching and Related Software

• Michael Coughlin presented the need for software for cross-matching data from multi-messenger surveys to localize candidates
• Tim Naylor presented the challenge of cross-matching at the depth that Rubin will reach due to crowding, advocating the use of centroiding uncertainty.

Image-based and other software