Smart Kanata: A Framework for Autonomous Decision Making in Rapid Follow-up Observations of Cataclysmic Variables
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arXiv
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866917857842954240 |
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| author | Uemura, Makoto Koga, Yuzuki Sazaki, Ryosuke Yukino, Tomoya Nakaoka, Tatsuya Imazawa, Ryo Kato, Taichi Nogami, Daisaku Isogai, Keisuke Kojiguchi, Naoto Taguchi, Kenta Tampo, Yusuke Maehara, Hiroyuki Ikeda, Shiro |
| author_facet | Uemura, Makoto Koga, Yuzuki Sazaki, Ryosuke Yukino, Tomoya Nakaoka, Tatsuya Imazawa, Ryo Kato, Taichi Nogami, Daisaku Isogai, Keisuke Kojiguchi, Naoto Taguchi, Kenta Tampo, Yusuke Maehara, Hiroyuki Ikeda, Shiro |
| contents | Studying the early stages of transient events provides crucial information about the fundamental physical processes in cataclysmic variables (CVs). However, determining an appropriate observation mode immediately after the discovery of a new transient presents challenges due to significant uncertainties regarding its nature. We developed a framework designed for autonomous decision making in prompt follow-up observations of CVs using the Kanata 1.5-m telescope. The system, named Smart Kanata, first estimates the class probabilities of variable star types using a generative model. It then selects the optimal observation mode from three possible options based on the mutual information calculated from the class probabilities. We have operated the system for ~300 days and obtained 21 samples, among which automated observations were successfully performed for a nova and a microlensing event. In the time-series spectra of the nova V4370 Oph, we detected a rapid deepening of the absorption component of the H_alpha line. These initial results demonstrate the capability of Smart Kanata in facilitating rapid observations and improving our understanding of outbursts and eruptions of CVs and other galactic transients. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_02092 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Smart Kanata: A Framework for Autonomous Decision Making in Rapid Follow-up Observations of Cataclysmic Variables Uemura, Makoto Koga, Yuzuki Sazaki, Ryosuke Yukino, Tomoya Nakaoka, Tatsuya Imazawa, Ryo Kato, Taichi Nogami, Daisaku Isogai, Keisuke Kojiguchi, Naoto Taguchi, Kenta Tampo, Yusuke Maehara, Hiroyuki Ikeda, Shiro Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics Studying the early stages of transient events provides crucial information about the fundamental physical processes in cataclysmic variables (CVs). However, determining an appropriate observation mode immediately after the discovery of a new transient presents challenges due to significant uncertainties regarding its nature. We developed a framework designed for autonomous decision making in prompt follow-up observations of CVs using the Kanata 1.5-m telescope. The system, named Smart Kanata, first estimates the class probabilities of variable star types using a generative model. It then selects the optimal observation mode from three possible options based on the mutual information calculated from the class probabilities. We have operated the system for ~300 days and obtained 21 samples, among which automated observations were successfully performed for a nova and a microlensing event. In the time-series spectra of the nova V4370 Oph, we detected a rapid deepening of the absorption component of the H_alpha line. These initial results demonstrate the capability of Smart Kanata in facilitating rapid observations and improving our understanding of outbursts and eruptions of CVs and other galactic transients. |
| title | Smart Kanata: A Framework for Autonomous Decision Making in Rapid Follow-up Observations of Cataclysmic Variables |
| topic | Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2412.02092 |