Automated scheduler for the SOXS instrument: design and performance
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arXiv
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| Formato: | Preprint |
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2024
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| author | Asquini, Laura Landoni, Marco Young, Dave Marty, Laurent Smartt, Stephen J. Campana, Sergio Claudi, Riccardo Schipani, Pietro Achren, Jani Aliverti, Matteo Duran, Jose A. Araiza Arcavi, Iair Battaini, Federico Baruffolo, Andrea Ami, Sagi Ben Bianco, Andrea Bichkovsky, Alex Brucalassi, Anna Bruch, Rachel Capasso, Giulio Cappellaro, Enrico Colapietro, Mirko Cosentino, Rosario DÁlessio, Francesco D'Avanzo, Paolo Della Valle, Massimo D'Orsi, Sergio Di Benedetto, Rosario Di Filippo, Simone Yam, Avishay Gal Genoni, Matteo Hernandez, Marcos Hershko, Ofir Kotilainen, Jari Kuncarayakti, Hanindyo Causi, Gianluca Li Mattila, Seppo Munari, Matteo Pariani, Giorgio Ventura, Hector Perez Pignata, Giuliano Radhakrishnan, Kalyan Rappaport, Michael Ricci, Davide Riva, Marco Rubin, Adam Salasnich, Bernardo Savarese, Salvatore Stritzinger, Maximilian Scuderi, Salvatore Vitali, Fabrizio Sanchez, Ricardo Zanmar |
| author_facet | Asquini, Laura Landoni, Marco Young, Dave Marty, Laurent Smartt, Stephen J. Campana, Sergio Claudi, Riccardo Schipani, Pietro Achren, Jani Aliverti, Matteo Duran, Jose A. Araiza Arcavi, Iair Battaini, Federico Baruffolo, Andrea Ami, Sagi Ben Bianco, Andrea Bichkovsky, Alex Brucalassi, Anna Bruch, Rachel Capasso, Giulio Cappellaro, Enrico Colapietro, Mirko Cosentino, Rosario DÁlessio, Francesco D'Avanzo, Paolo Della Valle, Massimo D'Orsi, Sergio Di Benedetto, Rosario Di Filippo, Simone Yam, Avishay Gal Genoni, Matteo Hernandez, Marcos Hershko, Ofir Kotilainen, Jari Kuncarayakti, Hanindyo Causi, Gianluca Li Mattila, Seppo Munari, Matteo Pariani, Giorgio Ventura, Hector Perez Pignata, Giuliano Radhakrishnan, Kalyan Rappaport, Michael Ricci, Davide Riva, Marco Rubin, Adam Salasnich, Bernardo Savarese, Salvatore Stritzinger, Maximilian Scuderi, Salvatore Vitali, Fabrizio Sanchez, Ricardo Zanmar |
| contents | We present the advancements in the development of the scheduler for the Son Of X-shooter instrument at the ESO-NTT 3.58-m telescope in La Silla, Chile. SOXS is designed as a single-object spectroscopic facility and features a high-efficiency spectrograph with two arms covering the spectral range of 350-2000 nm and a mean resolving power of approximately R=4500. It will conduct UV-visible and near-infrared follow-up observations of astrophysical transients, drawing from a broad pool of targets accessible through the streaming services of wide-field telescopes, both current and future, as well as high-energy satellites. The instrument will cater to various scientific objectives within the astrophysical community, each entailing specific requirements for observation planning. SOXS will operate at the European Southern Observatory (ESO) in La Silla, without the presence of astronomers on the mountain. This poses a unique challenge for the scheduling process, demanding a fully automated algorithm that is autonomously interacting with the appropriate databases and the La Silla Weather API, and is capable of presenting the operator not only with an ordered list of optimal targets (in terms of observing constraints) but also with optimal backups in the event of changing weather conditions. This imposes the necessity for a scheduler with rapid-response capabilities without compromising the optimization process, ensuring the high quality of observations and best use of the time at the telescope. We thus developed a new highly available and scalable architecture, implementing API Restful applications like Docker Containers, API Gateway, and Python-based Flask frameworks. We provide an overview of the current state of the scheduler, which is now ready for the approaching on-site testing during Commissioning phase, along with insights into its web interface and preliminary performance tests. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_17262 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated scheduler for the SOXS instrument: design and performance Asquini, Laura Landoni, Marco Young, Dave Marty, Laurent Smartt, Stephen J. Campana, Sergio Claudi, Riccardo Schipani, Pietro Achren, Jani Aliverti, Matteo Duran, Jose A. Araiza Arcavi, Iair Battaini, Federico Baruffolo, Andrea Ami, Sagi Ben Bianco, Andrea Bichkovsky, Alex Brucalassi, Anna Bruch, Rachel Capasso, Giulio Cappellaro, Enrico Colapietro, Mirko Cosentino, Rosario DÁlessio, Francesco D'Avanzo, Paolo Della Valle, Massimo D'Orsi, Sergio Di Benedetto, Rosario Di Filippo, Simone Yam, Avishay Gal Genoni, Matteo Hernandez, Marcos Hershko, Ofir Kotilainen, Jari Kuncarayakti, Hanindyo Causi, Gianluca Li Mattila, Seppo Munari, Matteo Pariani, Giorgio Ventura, Hector Perez Pignata, Giuliano Radhakrishnan, Kalyan Rappaport, Michael Ricci, Davide Riva, Marco Rubin, Adam Salasnich, Bernardo Savarese, Salvatore Stritzinger, Maximilian Scuderi, Salvatore Vitali, Fabrizio Sanchez, Ricardo Zanmar Instrumentation and Methods for Astrophysics We present the advancements in the development of the scheduler for the Son Of X-shooter instrument at the ESO-NTT 3.58-m telescope in La Silla, Chile. SOXS is designed as a single-object spectroscopic facility and features a high-efficiency spectrograph with two arms covering the spectral range of 350-2000 nm and a mean resolving power of approximately R=4500. It will conduct UV-visible and near-infrared follow-up observations of astrophysical transients, drawing from a broad pool of targets accessible through the streaming services of wide-field telescopes, both current and future, as well as high-energy satellites. The instrument will cater to various scientific objectives within the astrophysical community, each entailing specific requirements for observation planning. SOXS will operate at the European Southern Observatory (ESO) in La Silla, without the presence of astronomers on the mountain. This poses a unique challenge for the scheduling process, demanding a fully automated algorithm that is autonomously interacting with the appropriate databases and the La Silla Weather API, and is capable of presenting the operator not only with an ordered list of optimal targets (in terms of observing constraints) but also with optimal backups in the event of changing weather conditions. This imposes the necessity for a scheduler with rapid-response capabilities without compromising the optimization process, ensuring the high quality of observations and best use of the time at the telescope. We thus developed a new highly available and scalable architecture, implementing API Restful applications like Docker Containers, API Gateway, and Python-based Flask frameworks. We provide an overview of the current state of the scheduler, which is now ready for the approaching on-site testing during Commissioning phase, along with insights into its web interface and preliminary performance tests. |
| title | Automated scheduler for the SOXS instrument: design and performance |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2407.17262 |