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arXiv · 2604.24248

SVOM/VT: Instrument Overview, Science Objectives, and First-Year Performance

Abstract

The 44-cm Visible Telescope (VT) aboard the Space-based Variable Objects Monitor (SVOM) is a dual-band (400-650 nm and 650-1000 nm) instrument designed to detect and characterize the optical counterparts of gamma-ray bursts (GRBs) and other high-energy transients. This paper presents the VT's design, scientific objectives, observing strategies, and both space- and ground-based data processing pipelines, along with its first-year in-orbit performance. In-orbit commissioning tests confirm a sensitivity of 22.5 AB mag (300 s exposure), extendable to $\sim\!24$ AB mag through stacking. This performance enables the VT to monitor over 100 GRBs in its first year with an exceptional $\sim\!80\%$ detection rate for \textit{SVOM}/ECLAIRS-triggered bursts and ToO-observed bursts from other missions (e.g., \textit{Swift, Fermi, Einstein Probe (EP)}), outperforming \textit{Swift}/UVOT's $\sim\!40\%$ detection rate. Beyond its exceptional detection efficiency, the VT played a key role in identifying high-redshift GRBs-most notably GRB 250314A (z = 7.3). Its deep upper limits at long wavelengths (up to 1 $\mu$m) were pivotal in guiding follow-up observations with large ground-based telescopes, enabling crucial near-infrared (NIR) detections. With its rapid response, deep sensitivity, and real-time processing capabilities, the VT is a key instrument for GRB research in \textit{SVOM}-era, enabling critical studies of GRB optical afterglows, circumburst environments, relativistic jet dynamics, and the origins of optically dark bursts.

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Yu-Lei Qiu, Li-Ping Xin, Jin-Song Deng, Jian Zhang, Xue-Wu Fan, Hong-Bo Cai, Chao Wu, Hua-Li Li, Rui-Feng Su, Qing-Yun Mao, Wei Gao, Gang-Yi Zou, Wei Wang, Zhu-Heng Yao, Dong Li, Kun Chen, Wen Chen, Yong-He Zhang, Xu-Hui Han, Jing Wang, Da-Wei Xu, Jesse T. Palmerio, Susanna. D. Vergani, Jian-Yan Wei, Bertrand Cordier. 2026-04-27. SVOM/VT: Instrument Overview, Science Objectives, and First-Year Performance. https://arxiv.org/abs/2604.24248

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