Applications Working Group : May 2024

We will present a flexible solution for representing the position of moving objects at any given epoch, based on the mapping of tabular data onto the MANGO model using MIVOT annotations.
We will focus on the different client-side implementations.
This work comes in response to a request from Apps WG (Tucson 2023) for a durable solution to seamlessly connect coordinate systems and data in VOTables.

Feedbacks on the implementation of VO standards for Aladin Lite in the frame of SKA

I will present my new developments for Aladin Lite done as part of my implication in the SRCNet Orange Team which is dedicated to future SKA data cubes visualisation. SKAO has setup a SCS discovery service returning an ObsCore table that has been enriched by François Bonnarel. To be able for Aladin Lite to read that output, I enhanced the support of reading ObsCore and Datalink tables inside Aladin Lite, developed an interface to query SODA services, implement a basic SAMP support for managing VOTable sending and sub selection. Finally I will show access to a new on the fly HiPS generation from cube service developed by Thomas Boch.

The present decade will be marked by growth of large survey catalogs, both in their number and scale (e.g. LSST, Roman, SPHEREx and others). Joint analysis of large catalogs has historically shown itself to be tremendously useful, with its importance likely to rise even further. Yet, with the increase in scale towards PBs of data, joint analysis — even at a catalog level — becomes a complex data management problem that few astronomers are equipped to tackle with present-day technology. At 2023 Bologna IVOA we presented an experiment (provisionally) called HiPSCat, a format for efficient and queryable storage of large datasets. The goal of the format is to enable balanced spatial partitioning and enables scalable serving of PB-scale datasets (via HTTP) using Parquet for efficient storage. Since then, we have developed a Python framework for distributed querying of such datasets (LSDB), begun experimental deployment on the LINCC (LSST Interdisciplinary Network for Collaboration and Computing) Science Platform and the NASA Astrophysics Science Platform, and collected feedback from a number of test users. In this talk, we'd provide a quick update on lessons learned, the status of the format, and demo the available tools. We're looking for feedback and collaboration opportunities, and pathways towards IVOA discussions and standardization of such ideas.

Jdaviz visualization app

NASA's HEASARC archive is collaborating with STScI to include VO functionality into Jdaviz, the official Jupyter data analysis and visualization tool for the JWST mission and MAST archive. This demo will show a functional prototype of a Virtual Observatory plugin developed for Jdaviz to allow integrated archive querying and loading of VO image assets into the JWST tool.