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| META TOPICPARENT |
name="InterOpJune2025" |
Applications Working Group : June 2025
* back to main programme page]*
DRAFT Schedule
| Applications Session: |
| Speaker |
Title |
Materials |
Time |
| Carlo Maria Zwölf |
pyVAMDC a new library to access atomic and molecular data
During this talk we will present pyVAMDC, a new Python library to extract, in an interoperable way, data from the main databases providing atomic and molecular data for astronomy and astrophysics.We will show the key concept behind this library (architectural choices) and will explain, through working example, how users may adopt it. |
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| Laurent Michel |
I’ll present the state of the art with the tools I’m developing to handle the mapping of VOTable data on data models (especially MANGO) with Mivot. This includes the Pyvo annotation reader and writer, the model validator, and a few other things. |
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| Mark Taylor |
VOParquet Note and implementations The VOParquet convention that describes associating rich VOTable metadata with bulk data in Parquet format was published as an IVOA Note in January 2025. I will briefly recap the content of this Note, and report current implementations of it, as well as some utility tools available in STILTS for validating, debugging and tuning files written using the VOParquet convention. |
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| Pierre Fernique |
HiPS3D: Proposal to extend the IVOA <noautolink>HiPS</noautolink> standard to cubic data The <noautolink>HiPS</noautolink> - 'Hierarchical Progressive Survey' - method was standardized by IVOA in 2017. Based on a regular hierarchical division of the sky, it provides an effective solution to the problem of visualizing and even manipulating large-scale surveys. With the growing use of observing equipment generating cubic data, such as SKA or Rubin, the <noautolink>HiPS</noautolink> standard needs to evolve to better address this additional dimension, in terms of both frequency and time. We will present the CDS work on this subject, based on results obtained on a prototype version of Hipsgen - a <noautolink>HiPS</noautolink> generator - and Aladin Desktop - a <noautolink>HiPS</noautolink> client/viewer. We will describe the evolutions that might be necessary to the <noautolink>HiPS</noautolink> standard in order to generalize it to cubic observations. |
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| Francois-Xavier Pineau |
On-the-fly HATS using QATSS We are going to provide a feedback on implementing on-the-fly streamed HATS products from HEALPix sorted and indexed data, and discuss both the advantages and limits of such an solution. |
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| Markus Demleitner |
Unicode in VOTable
TBD |
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| ?? |
PyVO Update TBD |
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| Applications Session Joint with Time Domain |
| Speaker |
Title |
Materials |
Time |
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| Pierre Fernique |
HiPS3D: Proposal to extend the IVOA HiPS standard to cubic data The HiPS - 'Hierarchical Progressive Survey' - method was standardized by IVOA in 2017. Based on a regular hierarchical division of the sky, it provides an effective solution to the problem of visualizing and even manipulating large-scale surveys. With the growing use of observing equipment generating cubic data, such as SKA or Rubin, the HiPS standard needs to evolve to better address this additional dimension, in terms of both frequency and time. We will present the CDS work on this subject, based on results obtained on a prototype version of Hipsgen - a HiPS generator - and Aladin Desktop - a HiPS client/viewer. We will describe the evolutions that might be necessary to the HiPS standard in order to generalize it to cubic observations. |
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| Francois-Xavier Pinea |
Multi-Order HEALPix Map implementation in CDS HEALPix Rust Multi-Order HEALPix Maps (MOMs) are kind of MOCs in which a value is associated to each cell. It's also an extension of BMOCs to non-boolean values. An example of application is (chi2) compressed density maps. After an introduction and examples, we are going to present the choices made in the Rust implementation, and how MOC, BMOC and MOM serializations could be unified (also for Time and Frequency), and operations performed from streamed inputs, thanks to the ZUNIQ numbering. |
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