Spectro Capture: A Software System for Automated Small-Observatory Spectroscopy
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866910235190362112 |
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| author | Luckas, Paul |
| author_facet | Luckas, Paul |
| contents | Spectro Capture is a Python-based software system developed to automate small- observatory fibre-fed spectroscopy. The system integrates target selection, telescope slewing, guide star acquisition, fibre position restoration, calibration and science exposure sequencing within a single observing workflow. The paper describes the design and operational behaviour of the system at Shenton Park Observatory, where it has been used for unattended multi-target spectroscopic observing. Log analysis from January to May 2026 shows that the system completed 339 of 345 attempted science target blocks in primary unattended batch runs, corresponding to a completion rate of 98.3%. The results demonstrate that reliable unattended spectroscopy is practical at a small observatory when target acquisition, guiding, scheduling and calibration control are treated as an integrated software problem. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_19459 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Spectro Capture: A Software System for Automated Small-Observatory Spectroscopy Luckas, Paul Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics Spectro Capture is a Python-based software system developed to automate small- observatory fibre-fed spectroscopy. The system integrates target selection, telescope slewing, guide star acquisition, fibre position restoration, calibration and science exposure sequencing within a single observing workflow. The paper describes the design and operational behaviour of the system at Shenton Park Observatory, where it has been used for unattended multi-target spectroscopic observing. Log analysis from January to May 2026 shows that the system completed 339 of 345 attempted science target blocks in primary unattended batch runs, corresponding to a completion rate of 98.3%. The results demonstrate that reliable unattended spectroscopy is practical at a small observatory when target acquisition, guiding, scheduling and calibration control are treated as an integrated software problem. |
| title | Spectro Capture: A Software System for Automated Small-Observatory Spectroscopy |
| topic | Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2605.19459 |