Modernizing IRAF to Support Gemini Data Reduction
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arXiv
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| Format: | Preprint |
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2024
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| author | Fitzpatrick, Michael Placco, Vinicius Bolton, Adam Merino, Brian Ridgway, Susan Stanghellini, Letizia |
| author_facet | Fitzpatrick, Michael Placco, Vinicius Bolton, Adam Merino, Brian Ridgway, Susan Stanghellini, Letizia |
| contents | The US National Gemini Office (US NGO), part of the Community Science and Data Center (CSDC) at NSF's NOIRLab, has completed a project to upgrade the IRAF-based Gemini reduction software to provide a fully supported system capable of running natively on modern hardware. This work includes 64-bit platform ports of the GEMINI package and dependency tasks (e.g. from the STSDAS external package), upgrades to the core IRAF system and all other external packages to fix any platform and licensing problems, and the establishment of fully supported Help Desk and distribution systems for the user community. Early results show a 10-20X speedup of execution times using the native 64-bit software compared to the virtualized 32-bit solutions now in use. Results are even better on new Apple M1/M2 platforms where the additional overhead of Intel CPU emulation can be eliminated. Timing comparisons, science verification testing, and release plans are discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01982 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modernizing IRAF to Support Gemini Data Reduction Fitzpatrick, Michael Placco, Vinicius Bolton, Adam Merino, Brian Ridgway, Susan Stanghellini, Letizia Instrumentation and Methods for Astrophysics The US National Gemini Office (US NGO), part of the Community Science and Data Center (CSDC) at NSF's NOIRLab, has completed a project to upgrade the IRAF-based Gemini reduction software to provide a fully supported system capable of running natively on modern hardware. This work includes 64-bit platform ports of the GEMINI package and dependency tasks (e.g. from the STSDAS external package), upgrades to the core IRAF system and all other external packages to fix any platform and licensing problems, and the establishment of fully supported Help Desk and distribution systems for the user community. Early results show a 10-20X speedup of execution times using the native 64-bit software compared to the virtualized 32-bit solutions now in use. Results are even better on new Apple M1/M2 platforms where the additional overhead of Intel CPU emulation can be eliminated. Timing comparisons, science verification testing, and release plans are discussed. |
| title | Modernizing IRAF to Support Gemini Data Reduction |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2401.01982 |