UVIT data release version 7: Regenerated high-level UVIT data products.
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| Title: | UVIT data release version 7: Regenerated high-level UVIT data products. |
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| Authors: | JOSEPH, PRAJWEL1,2 (AUTHOR) prajwelpj@gmail.com, TANDON, S. N.3 (AUTHOR), GHOSH, S. K.4 (AUTHOR), STALIN, C. S.1 (AUTHOR) |
| Source: | Journal of Astrophysics & Astronomy. 7/1/2025, Vol. 46 Issue 2, p1-11. 11p. |
| Subjects: | Data release, High resolution imaging, Spectrometry, Open source software, Ultraviolet astronomy, Artificial satellites |
| Abstract: | Ultra-Violet Imaging Telescope (UVIT) on board AstroSat is an active telescope capable of high-resolution far-ultraviolet imaging (<1.5 ′ ′ ) and low-resolution ( λ / δ λ ≈ 100 ) slitless spectroscopy with a field-of-view as large as ∼ 0.5 ∘ . Now almost a decade old, UVIT continues to be operational and generates valuable data for the scientific community. UVIT is also capable of near-ultraviolet imaging (<1.5 ′ ′ ); however, the near-ultraviolet channel stopped working in August 2018 after providing data for nearly 3 years. This paper gives an overview of the latest version (7.0.1) of the UVIT pipeline and UVIT data release version 7. The high-level products generated using pipeline versions having a major ver. no. 7 will be called 'UVIT data release version 7'. The latest pipeline version overcomes two limitations of the previous version (6.3), namely: (a) inability to combine all episode-wise images; and (b) failure of the astrometry module in a large fraction of the observations. The procedures adopted to overcome these two limitations as well as a comparison of the performance of this new version over the previous one, are presented in this paper. The UVIT data release version 7 products are available at the Indian Space Science Data Center of the Indian Space Research Organization for archival and dissemination from 1 June 2024. New pipeline version is open source and made available on GitHub. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Astrophysics & Astronomy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186987144 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: UVIT data release version 7: Regenerated high-level UVIT data products. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22JOSEPH%2C+PRAJWEL%22">JOSEPH, PRAJWEL</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> prajwelpj@gmail.com</i><br /><searchLink fieldCode="AR" term="%22TANDON%2C+S%2E+N%2E%22">TANDON, S. N.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22GHOSH%2C+S%2E+K%2E%22">GHOSH, S. K.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22STALIN%2C+C%2E+S%2E%22">STALIN, C. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Astrophysics+%26+Astronomy%22">Journal of Astrophysics & Astronomy</searchLink>. 7/1/2025, Vol. 46 Issue 2, p1-11. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+release%22">Data release</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometry%22">Spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Ultraviolet+astronomy%22">Ultraviolet astronomy</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellites%22">Artificial satellites</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Ultra-Violet Imaging Telescope (UVIT) on board AstroSat is an active telescope capable of high-resolution far-ultraviolet imaging (<1.5 ′ ′ ) and low-resolution ( λ / δ λ ≈ 100 ) slitless spectroscopy with a field-of-view as large as ∼ 0.5 ∘ . Now almost a decade old, UVIT continues to be operational and generates valuable data for the scientific community. UVIT is also capable of near-ultraviolet imaging (<1.5 ′ ′ ); however, the near-ultraviolet channel stopped working in August 2018 after providing data for nearly 3 years. This paper gives an overview of the latest version (7.0.1) of the UVIT pipeline and UVIT data release version 7. The high-level products generated using pipeline versions having a major ver. no. 7 will be called 'UVIT data release version 7'. The latest pipeline version overcomes two limitations of the previous version (6.3), namely: (a) inability to combine all episode-wise images; and (b) failure of the astrometry module in a large fraction of the observations. The procedures adopted to overcome these two limitations as well as a comparison of the performance of this new version over the previous one, are presented in this paper. The UVIT data release version 7 products are available at the Indian Space Science Data Center of the Indian Space Research Organization for archival and dissemination from 1 June 2024. New pipeline version is open source and made available on GitHub. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Astrophysics & Astronomy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12036-025-10069-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Subjects: – SubjectFull: Data release Type: general – SubjectFull: High resolution imaging Type: general – SubjectFull: Spectrometry Type: general – SubjectFull: Open source software Type: general – SubjectFull: Ultraviolet astronomy Type: general – SubjectFull: Artificial satellites Type: general Titles: – TitleFull: UVIT data release version 7: Regenerated high-level UVIT data products. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: JOSEPH, PRAJWEL – PersonEntity: Name: NameFull: TANDON, S. N. – PersonEntity: Name: NameFull: GHOSH, S. K. – PersonEntity: Name: NameFull: STALIN, C. S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 7/1/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02506335 Numbering: – Type: volume Value: 46 – Type: issue Value: 2 Titles: – TitleFull: Journal of Astrophysics & Astronomy Type: main |
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