Data science based efficient and automated spectroscopy for submillimeter single-dish telescopes
2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), pp. 1–4
Authors:
- Akio Taniguchi
- Yoichi Tamura
- Shiro Ikeda
- Tatsuya Takekoshi
- Ryohei Kawabe
- Kotaro Kohno
- Takeshi Sakai
Keywords:
- submillimeter single-dish telescope
- spectroscopy
URL:
Abstract:
In this paper, we present a new data scientific approach for efficient and automated spectroscopy with millimeter and submillimeter single-dish telescopes. The proposed approach avoids direct subtraction between two noisy spectra (i.e. on-source and off-source spectra) that is common in the current data reduction: It then offers us to improve the observation sensitivity by a factor of $\gtrsim\sqrt2$ and reduce artificial baseline ripples in parallel with developing observational instruments. We demonstrate such upgrades in the real observed spectra taken by existing large millimeter single-dish telescopes. We finally discuss the application of the proposed approach for the future large submillimeter single-dish telescopes that will yield petabytes of data resulting from sensitive, wide field ($\gtrsim 1 \squaredeg$), and wide band ($>100 GHz$) imaging spectroscopy.