Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866911202762817536 |
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| author | Giordano, Fabrizio Ascasibar, Yago Cortese, Luca Valtchanov, Ivan Merín, Bruno |
| author_facet | Giordano, Fabrizio Ascasibar, Yago Cortese, Luca Valtchanov, Ivan Merín, Bruno |
| contents | Context. In the current era of multi-wavelength and multi-messenger astronomy, international organisations are actively working on the definition of new standards for the publication of astronomical data, and substantial effort is devoted to make them available through public archives. Aims. We present a set of tools that allow user-friendly access and basic scientific analysis of observations in Hierarchical Progressive Survey (HiPS) format, and we use them to gauge the quality of representative skymaps at ultraviolet, optical, and infrared wavelengths. Methods. We apply a fully-automatic procedure to derive aperture photometry in 10 different bands for the 323 nearby galaxies in the Herschel Reference Sample (HRS), and compare its results with the rigorous analyses involving specialised knowledge and human intervention carried out by the HRS team. Results. Our experiment shows that 9 of the 10 skymaps considered preserve the original quality of the data, and the photometric fluxes returned by our pipeline are consistent with the HRS measurements within a few per cent. In the case of Herschel PACS maps at 100 μm, we uncovered a systematic error that we ascribe to an inconsistent combination of data products with different spatial resolution. For the remaining skymaps, the estimated statistical uncertainties provide a realistic indication of the differences with respect to the HRS catalogue. Conclusions. In principle, the currently available HiPS skymaps in Flexible Image Transport System (FITS) format allow to carry out broadband photometric analyses with an accuracy of the order of a few percent, but some level human intervention is still required. In addition to assessing data quality, we also propose a series of recommendations to realise the full potential of the HiPS format for the scientific analysis of large astronomical data sets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_09533 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis Giordano, Fabrizio Ascasibar, Yago Cortese, Luca Valtchanov, Ivan Merín, Bruno Instrumentation and Methods for Astrophysics Context. In the current era of multi-wavelength and multi-messenger astronomy, international organisations are actively working on the definition of new standards for the publication of astronomical data, and substantial effort is devoted to make them available through public archives. Aims. We present a set of tools that allow user-friendly access and basic scientific analysis of observations in Hierarchical Progressive Survey (HiPS) format, and we use them to gauge the quality of representative skymaps at ultraviolet, optical, and infrared wavelengths. Methods. We apply a fully-automatic procedure to derive aperture photometry in 10 different bands for the 323 nearby galaxies in the Herschel Reference Sample (HRS), and compare its results with the rigorous analyses involving specialised knowledge and human intervention carried out by the HRS team. Results. Our experiment shows that 9 of the 10 skymaps considered preserve the original quality of the data, and the photometric fluxes returned by our pipeline are consistent with the HRS measurements within a few per cent. In the case of Herschel PACS maps at 100 μm, we uncovered a systematic error that we ascribe to an inconsistent combination of data products with different spatial resolution. For the remaining skymaps, the estimated statistical uncertainties provide a realistic indication of the differences with respect to the HRS catalogue. Conclusions. In principle, the currently available HiPS skymaps in Flexible Image Transport System (FITS) format allow to carry out broadband photometric analyses with an accuracy of the order of a few percent, but some level human intervention is still required. In addition to assessing data quality, we also propose a series of recommendations to realise the full potential of the HiPS format for the scientific analysis of large astronomical data sets. |
| title | Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2510.09533 |