Discovery of the C7N- anion in TMC-1 and IRC+10216

TL;DR

This study reports the detection of the C7N- anion in TMC-1 and IRC+10216, using spectral data and ab initio calculations to identify its molecular signature and distinguish it from other species.

Contribution

The paper provides the first identification of the C7N- anion in space, combining observational data with high-level quantum calculations to confirm its molecular carrier.

Findings

C7N- anion detected in TMC-1 and IRC+10216

Rotational constants measured with high precision

C7N- is the most plausible carrier, not a radical

Abstract

We report on the discovery of the C7N- anion towards the starless core TMC-1 and towards the carbon-rich evolved star IRC+10216. We used the data of the QUIJOTE line survey towards TMC-1 and found six lines in perfect harmonic frequency relation from J=27-26 up to J=32-31. The frequency of the lines can be reproduced with a rotational constant and a distortion constant of B=582.68490+/-0.00024 MHz and D=4.01+/-0.13 Hz, respectively. The standard deviation of the fit is 4 kHz. Towards IRC+10216, we identify 17 lines from J=27-26 up to J=43-42; their frequencies are also in harmonic relation, providing B=582.6827+/-0.00085 MHz and D=3.31+/-0.31 Hz. The nearly exact coincidence of the rotational and distortion constants in both sources points unambiguously to a common molecular carrier. Taking into account the chemical peculiarities of both sources, the carrier could be a radical or an anion. The radical can be discarded, as the observed lines belong to a singlet species. Hence, the most plausible carrier is an anion. High-level ab initio calculations indicate that C7N-, for which we compute a rotational constant of B=582.0 MHz and a dipole moment of 7.5 D, is the carrier of the lines in both sources. We predict the neutral C7N to have a ground electronic state 2Pi and a dipole moment around 1 D. Because of this low dipole moment value and to its much larger rotational partition function, its lines are expected to be well below the sensitivity of our data for both sources.