Remijan, Anthony and Scolati, Haley N. and Burkhardt, Andrew M. and Changala, P. Bryan and Charnley, Steven B. and Cooke, Ilsa R. and Cordiner, Martin A. and Gupta, Harshal and Herbst, Eric and Kelvin Lee, Kin Long and Loomis, Ryan A. and Shingledecker, Christopher N. and Siebert, Mark A. and Xue, Ci and McCarthy, Michael C. and McGuire, Brett A. (2023) Astronomical Detection of the Interstellar Anion C 10 H − toward TMC-1 from the GOTHAM Large Program on the Green Bank Telescope. The Astrophysical Journal Letters, 944 (2). L45. ISSN 2041-8205
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Abstract
Using data from the Green Bank Telescope (GBT) Observations of TMC-1: Hunting for Aromatic Molecules (GOTHAM) survey, we report the first astronomical detection of the C10H− anion. The astronomical observations also provided the necessary data to refine the spectroscopic parameters of C10H−. From the velocity stacked data and the matched filter response, C10H− is detected at >9σ confidence level at a column density of ${4.04}_{-2.23}^{+10.67}\times {10}^{11}$ cm−2. A dedicated search for the C10H radical was also conducted toward TMC-1. In this case, the stacked molecular emission of C10H was detected at a ∼3.2σ confidence interval at a column density of ${2.02}_{-0.82}^{+2.68}\times {10}^{11}$ cm−2. However, as the determined confidence level is currently <5σ, we consider the identification of C10H as tentative. The full GOTHAM data set was also used to better characterize the physical parameters including column density, excitation temperature, line width, and source size for the C4H, C6H, and C8H radicals and their respective anions, and the measured column densities were compared to the predictions from a gas/grain chemical formation model and from a machine learning analysis. Given the measured values, the C10H−/C10H column density ratio is ∼${2.0}_{-1.6}^{+5.9}$—the highest value measured between an anion and neutral species to date. Such a high ratio is at odds with current theories for interstellar anion chemistry. For the radical species, both models can reproduce the measured abundances found from the survey; however, the machine learning analysis matches the detected anion abundances much better than the gas/grain chemical model, suggesting that the current understanding of the formation chemistry of molecular anions is still highly uncertain.
Item Type: | Article |
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Subjects: | Middle Asian Archive > Physics and Astronomy |
Depositing User: | Managing Editor |
Date Deposited: | 18 Apr 2023 07:28 |
Last Modified: | 05 Apr 2025 08:18 |
URI: | http://peerreview.go2articles.com/id/eprint/270 |