Issue |
A&A
Volume 662, June 2022
|
|
---|---|---|
Article Number | A102 | |
Number of page(s) | 8 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202243544 | |
Published online | 24 June 2022 |
Non-LTE modelling of the HC2NC and HNC3 abundance in astrophysical environments
Univ. Rennes, CNRS, IPR (Institut de Physique de Rennes) – UMR 6251,
35000
Rennes,
France
e-mail: cheikhtidiane.bop@ucad.edu.sn
Received:
14
March
2022
Accepted:
27
April
2022
The isomers of HC3N, namely HC2NC and HNC3, are widely observed in the interstellar medium and in circumstellar envelopes. Their abundance has been determined under the assumption of local thermodynamic equilibrium (LTE) conditions or non-LTE radiative transfer models, but in considering the collisional excitation of HC3N as the same for all isomers. Chemical models for the prototypical cold cores, TMC-1 and L1544, reproduced the abundance of HC3N fairly well, but they tend to overestimate the abundances of HC2NC and HNC3 with respect to the observations. It is therefore worth revisiting the interpretation of the observational spectra of these isomers using a rigorous non-LTE modelling. The abundance of HC2NC and HNC3 were then determined using non-LTE radiative transfer calculations based on the proper rate coefficients for the first time in this work. Modelling the brightness temperature of HC2NC and HNC3 when using their proper collision rate coefficients shows that models based on LTE or non-LTE with approximate collision data may lead to deviations of up to a factor of ~1.5. Reinterpreting the observational spectra led us to significant differences relative to the observed abundances previously determined. Our findings suggest quite similar abundance ratios for the TMC-1 and L1544 cold cores as well as the L483 protostar. This work will encourage further modelling with more robust non-LTE radiative transfer calculations and future studies to revisit the chemistry of HC3N and its isomers in cold molecular clouds.
Key words: scattering / molecular data / molecular processes / radiative transfer / ISM: abundances / ISM: molecules
© C. T. Bop et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe-to-Open model. Subscribe to A&A to support open access publication.
1 Introduction
Understanding the formation and destruction paths of molecules is one of the most challenging issues in astrochemistry. Comparing the abundances of isomers observed in the interstellar medium (ISM) and circumstellar envelopes (CSEs) is a unique opportunity to gain better insights into the chemical processes yielding their formation and destruction. Interesting targets could be the isomers of HC3N, namely HC2NC and HNC3, which are quite abundant in space.
Their detection towards TMC-1 (Kawaguchi et al. 1992b,a), IRC+10216 (Gensheimer 1997, Gensheimer 1998), L1544 (Jiménez-Serra et al. 2016; Vastel et al. 2018a), and L483 (Agúndez et al. 2019) encouraged extensive investigations on the chemistry underlying their synthesis. For instance, the chemical models of Osamura et al. (1999) and Vastel et al. (2018a) for the two prototypical cold cores TMC-1 and L1544, respectively, were constructed considering that HC3N, HC2NC, and HNC3 mainly originate from the dissociative recombination of HC3NH+. Neutral-neutral reactions were also involved for the formation of HC3N. With respect to the analysis of recent observational spectra by Cernicharo et al. (2020a) and Vastel et al. (2018a), these models reproduce the abundance of HC3N fairly well, but they tend to overestimate the abundances of HC2NC and HNC3. For instance, the column density of HNC3 derived from the chemical model for TMC-1 is greater than the value retrieved from the observational spectra by a factor of 5–10 (Vastel et al. 2018a). These disagreements may stem from poorly understood formation routes for the isomers of HC3N and/or from the interpretation of the detected emission lines.
From the observational spectra, Vastel et al. (2018a) derived abundance ratios N(HNC3)/N(HC3N) and N(HC2NC)/N(HC3N) of (0.31–1.25) × 10−2 and (0.35–1.38) × 10−1, respectively, for the L1544 prestellar core. For the L483 protostar, Agúndez et al. (2019) reported N(HNC3)/N(HC3N) ≈ 1.19 × 10−3 and N(HC2NC)/N(HC3N) ≈ 1.36 × 10−2. For TMC-1 [IRC+10216], Cernicharo et al. (2020a) computed HNC3 and HC2NC abundances relative to HC3N of (2.26 ± 0.3) × 10−3 and (1.30 ± 0.2) × 10−2 [(0.75 ± 0.08) × 10−3 and (0.24 ± 0.03) × 10−2], respectively.
Concerning chemical models, for TMC-1, Osamura et al. (1999) calculated abundances of ~4.2 × 10−3 cm−3 and ~3.4 × 10−2 cm−3 for HNC3 and HC2NC relative to HC3N, respectively. ForL1544, the chemistry1 proposedby Vastel etal. (2018a) led to an abundance of ~ × 10−1 for both HNC3 and HC2NC with respect to HC3N. To the best of our knowledge, the chemistry of HC3N and its isomers has not been studied for L483 and IRC+10216 yet.
In summary, the abundance ratios determined from observational spectra vary significantly from one source to another. The case of IRC+10216 must be treated separately since the chemistry in this region is different to that prevailing in cold cores (Cernicharo et al. 2020a). Among cold environments, the abundance ratios derived from the observations (chemical models) can differ by an order of magnitude (one to two orders of magnitude). Such drastic changes, for quite similar physical conditions and presumably the same chemistry, deserves to be reassessed.
When interpreting the observational spectra, the column densities of HC2NC and HNC3 were determined considering local thermodynamic equilibrium (LTE) conditions (Vastel et al. 2018a; Agúndez et al. 2019) or using radiative transfer calculations based on the rate coefficients of HC3N (Cernicharo et al. 2020a). These two models are denoted hereafter as Model (1) and Model (2), respectively. Molecular abundances determined using Model (1) may not be accurate since the assumed LTE conditions are rarely reached in the ISM and CSE. For instance, Bop et al. (2021) show that LTE treatment could overestimate the abundance ratios N(HNC3)/N(HC3N) and N(HC2NC)/N(HC3N) by up to a factor of 2. On the other hand, the use of Model (2) to determine the abundance of iso-mers may be a source of bias since HC3N, HC2NC, and HNC3 display different excitation schemes (Bop et al. 2019, 2021). It is, therefore, worth using each isomer’s proper collisional data to model its abundance by means of radiative transfer calculations (this methodology is denoted hereafter as Model (3)) in order to draw more robust conclusions regarding the abundance ratios derived from the observations.
This paper aims to revisit the radiative transfer study of HC2NC and HNC3 in media where they were observed (TMC-1, IRC+10216, L483, and L1544) using the escape probability formalism along with the rate coefficients reported by Bop et al. (2021). It is important to note that previously only collisional rates of HC3N were available in the literature (Wernli et al. 2007; Faure et al. 2016).
This paper is structured as follows: Sect. 2 presents a brief description of the scattering calculations and details of the radiative transfer study. In Sect. 3, we analyse and discuss the results and concluding remarks are given in Sect. 4.
2 Methods
The radiative transfer calculations were performed under the assumption of the escape probability formalism for a uniform expanding spherical shell as implemented in the RADEX computer code (Van der Tak et al. 2007). The molecular data (for HC2NC and HNC3) are composed of collision rate coefficients supplemented by the line frequencies, energy levels, and Einstein coefficients of the isomers. Apart from collision rate coefficients, the spectroscopic data were obtained from the Cologne Database for Molecular Spectroscopy (CDMS) portal (Endres et al. 2016).
The rate coefficients reported by Bop et al. (2021) were derived from integral inelastic cross sections induced by collision with ortho- and para-H2 (hereafter denoted as o-H2 and p-H2, respectively). These data were calculated using the exact close-coupling quantum mechanical approach (Green 1975). These scattering calculations were based on potential energy surfaces (for HC2NC-H2 and HNC3-H2) computed at the CCSD(T)-F12b2/VTZ-F123 level of theory (Adler et al. 2007; Hill et al. 2010). More computational details can be found in Bop et al. (2019, Bop et al. 2021).
We calculated the brightness temperature (TB), excitation temperature (Tex), and the integrated intensity (W) for the j1 → j1 − 1 (j1= 1−11) emission lines. Only the cosmic microwave background (iCMB = 2.73 K) was included as a background radiation field. The full width at the half-maximum (FWHM) was set to 1 km s−1 since it does not affect the integrated intensity much. To fully cover the gas kinetic temperature (T) and the H2 volume density [n(H2)] of TMC-1, IRC+10216, L483, and L1544, that is to say the sources of interest, we smoothly varied T between 5 K and 50 K and n(H2) from 102 cm−3 to 108 cm−3. For the H2 volume density, we assumed different ortho-to-para ratios (ro/p) following the thermal distribution. For example, ro/p was set to less than 1:100 for T < 25 K, ~1:10 for 25 K ≤ T ≤ 40 K, and ~3:10 for T > 40 K. We note that these ratios do not affect the models much due to the moderate difference of the o- and p-H2 rate coefficients. In case further modelling is needed, any ratio could be used since state-to-state rate coefficients for the HC3N isomers due to collision with both o- and p-H2 are available in the literature (Bop et al. 2021). The column density (N) of HC2NC and HNC3 was first set to 1010 cm−2 and then smoothly increased up to 1013 cm−2. We also checked the opacity of the lines. The optical depth, which was calculated using a column density of 1012 cm−2 (1011 cm−2), is found to be smaller than 0.06 (0.02) for HC2NC (HNC3). For more details, we refer the readers to Appendix A which presents the dependence of the opacities on the gas volume density.
3 Results
3.1 The excitation of HC2NC and HNC3
Bop et al. (2021) show that LTE conditions are reached for gas densities higher than 106 cm−3, which is larger than the typical density in molecular clouds. For the excitation temperature, such an approximation may lead to errors of up to a factor of 2. Further discussions on the limits of the LTE approximation, in the case of HC3N and its isomers, can be found in Bop et al. (2021).
To probe the relative increase or decrease in the brightness temperature upon the use of the proper rate coefficients of the isomers, we plotted the percentage change in Tb of Model (2) relative to that of Model (3) in Fig. 1. The analysis of these graphs is restricted to the region highlighted in grey (103 ≤ n (cm−3) ≤ 105) to simulate the typical gas density of astrophysical environments such as IRC+10216, TMC-1, L1544, andL483. For transitions involving low energy levels, Model (2) may underestimate the brightness temperature down to 10% in the case of HC2NC and 15% in the case of HNC3. On the other hand, when higher energy levels are involved, Model (2) leads to overestima-tion of up to 35% for HC2NC and 40% for HNC3. Regarding the temperature dependency, Model (2) does not correctly describe transitions among high-lying energy levels (e.g. 11 → 10) in the cold (T = 10 K) regime. For the warm (T ≥ 25 K) regime, this model still fails at reproducing the brightness temperature for emission lines involving the lower rotational states (e.g. 1 → 0). The disagreement between Model (2) and Model (3) can be explained by the differences among the rate coefficients of HC3N, HC2NC, and HNC3. Indeed, Bop et al. (2021) show that when using p-H2 as a collider, the rate coefficients of HC2NC and HNC3 outweigh those of HC3N by up to an order of magnitude. The large differences mostly concern the low temperature regime and transitions involving high-lying energy levels.
In summary, the accuracy of Model (2) depends on the transition, the temperature, and the isomer which points out its limits in modelling the following: (i) HNC3 in any case; (ii) HC2NC in the warm regime using low energy levels; and (iii) HC2NC in the cold regime using high-lying energy levels. Since HC2NC and HNC3 were mainly observed through their j1 = 4−11 → 3−10 emission lines (Kawaguchi et al. 1992b, a; Gensheimer 1998; Vastel et al. 2018a; Agúndez et al. 2019), accurate abundance modelling should be based on Model (3) or more robust radiative transfer calculations, but using the isomers’ specific rate coefficients.
In Fig. 2, we plotted the brightness temperature ratio [Tb(HNC3)/Tb(HC2NC)] as a function of the H2 volume density for selected temperatures and transitions. Although more pronounced in transitions involving low energy levels, the brightness temperature ratio remains much greater than 1 for all emission lines. We note that there are some contributions due to the difference between the dipole moments of HC2NC (2.93 D; Krüger et al. 1991) and HNC3 (5.665 D; Botschwina et al. 1992). For example, the smallest ratio which occurs at 10 K for the j1 = 11 → 10 transitions can reach a value of 4 at n(H2) = 4 × 105 cm−3. In the gas density range [104 ≤ n (cm−3) ≤ 5 × 104] relevant to astrophysical applications, the ratio varies between 2 and 6 for the most detected lines. Since the brightness temperature is proportional to the column density in the optically thin regime, equal line intensities would be obtained if the N(HNC3)/N(HC2NC) abundance ratio was between 0.16 and 0.50.
![]() |
Fig. 1 Relative deviation of iB upon Model (2) compared to Model (3) (see text for the description of the models) as a function of the H2 volume density for selected temperatures and transitions. We note that HC2NC and HNC3 are represented in the left and right panels, respectively. These data were calculated for fixed column densities of 1012 cm−2. The grey band delimits the region where 104 ≤ n (cm−3) ≤ 5 × 104. |
![]() |
Fig. 2 Same as Fig. 1, but the y axis represents the HC2NC and HNC3 brightness temperature ratios calculated with Model (3). |
3.2 Interpretation of the observational spectra of HC2NC and HNC3
To determine the abundances of HC2NC and HNC3, we assumed that the isomers are produced under the same physical conditions in all sources. In the modelling of Quénard et al. (2017) and Vastel et al. (2018a) for L1544 and that of Osamura et al. (1999) for TMC-1, the two species were assumed to form under the same physical conditions and mainly through the dissociative recombination of HC3NH+.
Since the frequencies of the observed lines differ by less than 20%, we expect that the inclusion of filling factors does not considerably change results (Vastel et al. 2014). Therefore, we also assumed that the sources fill the beams. We do not pretend to have interpreted the observational spectra using a sophisticated model, but to have made a sketch of the abundance ratio of the isomers in cold environments. Indeed, the non-LTE simulation of the HC2NC and HNC3 excitation using the RADEX radiative transfer code implied the use of a constant density and temperature. Such a treatment is well suited for TMC-1 and reasonably correct for L483 and IRC+10216, but much less adapted for L1544, because of its well-known density and temperature gradients (Quénard et al. 2017). Nevertheless, we expect the abundance ratio derived from our modelling to be relatively accurate.
Using the rate coefficients of HC2NC and HNC3 computed by Bop et al. (2021), we attempted to derive the column density of the isomers from the integrated intensities calculated in this work. The data, retrieved from the observational spectra of the isomers, to which we refer are presented in Table 1. In practice, the column density of the isomers and the H2 volume density that best reproduce the observations were selected by calculating the χ2 parameter (see Eq. (1)4): (1)
The gas kinetic temperature of the regions of interest, TMC-1, L1544, L483, and IRC+10216, is well constrained in the literature. Therefore, we varied the temperature by 20% around (i) 10 K for TMC-1 (Cernicharo et al. 2020b) and L483 (Agúndez et al. 2019); (ii) 12 K for L1544 (Vastel et al. 2018b); and (iii) 37 K for IRC+10216. The latter was derived using the mass loss rate of Guélin et al. (2018) at 14″ from the star, which corresponds to the peak intensity of HC3N (Agúndez et al. 2017). We note that a slight change in temperature does not substantially affect the χ2 parameter.
In Fig. 3, we plotted the variation of the χ2 parameter (for a single value of temperature) as a function of the H2 volume density and the column density of the isomers for IRC+10216, TMC-1, L1544, and L483. For all sources, a large set of parameters (density of H2 and column density of the isomers) allowed us to reproduce the observations with confidences better than 90%. We note that the lowest χ2 value (marked with the white “+” sign in Fig. 3) may lead to unrealistic physical conditions. For example, in the case of L1544, the HC2NC and HNC3 column densities were obtained for n(H2) = 2.0 × 104 cm−3 and n(H2) = 2.5 × 103 cm−3, respectively. Being out of the grey region, which is the typical H2 density for cold molecular clouds and circumstellar envelopes, these solutions are not considered.
In summary, the solutions we are looking for must be located in the grey band and they must also correspond to similar H2 density for both isomers. The column densities derived for all sources of interest, except IRC+10216, are summarized in Table 2 for comparison with the results available in the literature.
Parameters of the HC2NC and HNC3 lines observed towards TMC-1, L1544, L483, and IRC+10216.
Column densities and abundance ratios of HC2NC and HNC3 derived for TMC-1, L1544, and L483.
TMC-1
We obtained column densities of (1.0−1.7) × 1012 cm−2 and (1.8−2.7) × 1011 cm−2 for HC2NC and HNC3, respectively, at n(H2) = (1.0−1.0) × 104 cm−3. From the analysis of the HC3N emission lines, Cordiner et al. (2013) and Pratap et al. (1997) reported n(H2) ≈1 × 104 cm−3 and n(H2) ≈ 8 × 104 cm−3, respectively, when using the same method. Concerning the column densities, we underestimated the column densities reported by Cernicharo et al. (2020a) by more than 50%.
L1544
For HC2NC and HNC3, we found column densities of (0.7−1.2) × 1012 cm−2 and (1.0−3.0) × 1011 cm−2, respectively, at n(H2) = (1.5−4.0) × 104 cm−3. We would like to point out that this gas density for L1544 is in agreement with the result (−104 cm−3) of Vastel et al. (2018a) obtained from the modelling of HC3N and HNC3. The HC2NC (HNC3) column densities we computed are lower (higher) by 30–45% (35–50%) than the results of Vastel et al. (2018a).
L483
The observations were reproduced for n(H2) = (1.2−5.0) × 104 cm−3. The gas density is in agreement with the value (~3 × 104 cm−3) commonly used in the literature (Agúndez et al. 2019). For the column densities, we obtained N(HC2NC) = (0.5–1.8) × 1012 cm−2 and i(HNC3) = (0.8–3.5) × 1011 cm−2, respectively. The latter values overestimate the data of Agúndez et al. (2019) by factors of ~2 and 3–5 in the case of HC2NC and HNC3, respectively.
IRC+10216
Our model failed at reproducing the observations with reasonable physical conditions. In fact, the H2 densities (2.8 × 103 cm−3 and 8.0 × 104 cm−3 for HC2NC and HNC3, respectively) do not agree with the value of (2.3–4.6) × 104 cm−3 derived using the mass loss rate of Guélin et al. (2018) at 14″ where Agúndez et al. (2017) observed the peak intensity of HC3N. We used a temperature of 37 K as suggested by the finding of Guélin et al. (2018). We note that our model reproduces the observations with realistic gas densities only if the temperature is decreased down to ~10 K. This failure may originate from the simplicity of our model which does not take the strong temperature and density gradients into account in IRC+10216. Moreover, in our model the excitation is exclusively due to the collision with H2, whereas Agúndez et al. (2017) show that infrared pumping plays a huge role in the calculation of the HC3N radial abundance distribution. Therefore, accurate modelling of the HC2NC and HNC3 abundances must be performed using more sophisticated radiative transfer codes.
![]() |
Fig. 3 Variation of the χ2 parameter as a function of the H2 volume density and the column densities of HC2NC and HNC3 for the sources of interest. The solid blue [red] lines represent confidence contour levels of 63.3%, 90.0%, 99.0%, and 99.9% (from the inner to outer contours) for the HC2NC [HNC3] isomer. The ‘+’ symbol highlights the position of the minimum value of χ2. The blue (red) and grey-shaded regions show the column density of HC2NC (HNC3) derived using Model (1) or Model (2) (see text) and the typical H2 density in molecular clouds, respectively. |
3.3 The HC2NC/HNC3 abundance ratio in cold environments
The abundance ratios (r) were determined taking into account the dependence of the derived column densities (Ni, i = {1,2} ≡ {HC2NC, HNC3}) on the H2 volume density, that is r(n) = N1(n)/N2(n). Since the χ2 parameter behaves the same way for both isomers, this procedure helps to reduce the uncertainty. A good constrain of these data can lead to important clues regarding the chemistry underlying the formation and destruction processes of the isomers. In fact, despite being characterized by similar physical conditions, cold molecular clouds (TMC-1, L1544, and L483) present very different relative abundances for the isomers of HC3N, according to the data available in the literature. Typically, when interpreting the observational spectra, the ratio obtained for L483 (Agúndez et al. 2019) is twice as great as the relative abundance reported for TMC-1 (Cernicharo et al. 2020a). For L1544 (Vastel et al. 2018a), there is nearly a factor of 7 between the lower and the upper limits of the interval of the abundance ratio.
Regarding chemical models, the abundance ratio computed by Osamura et al. (1999) for TMC-1 overestimated the observations of Cernicharo et al. (2020a) by nearly a factor of 1.5. For L1544, the chemical model of Vastel et al. (2018a) predicts nearly the same amounts of HC2NC and HNC3. These authors state that their model overestimates the abundance of HNC3 by a factor of 5–10 relative to the observations.
In this work, we obtained very close abundance ratios for all of the molecular clouds studied (TMC-1, L1544, and L483); readers can refer to Table 2 for the exact values. For a better appreciation of the ratios obtained, we show a comparison of these abundance ratios with the previous estimates in Fig. 4. With respect to the observations, our model agrees with Cernicharo et al. (2020a), constrains the interval derived from Vastel et al. (2018a), and reduces the results of Agúndez et al. (2019) by a factor of 1.5–2.5. For the chemical models, our findings are in reasonable agreement with the data of Osamura et al. (1999), but they are incompatible with those of Vastel et al. (2018a) since their model predicts equal amounts for HC2NC and HNC3.
![]() |
Fig. 4 Relative abundance of HC2NC with respect to HNC3 in cold environments. The subscripts a,b,c and d refer to Osamura et al. (1999), Vastel et al. (2018a), Cernicharo et al. (2020a), and Agúndez et al. (2019), respectively. |
4 Conclusion
We performed non-LTE radiative transfer calculations to estimate the impact of the new rate coefficients on the excitation scheme of HC2NC and HNC3 and to model the abundance of the isomers in cold molecular clouds TMC-1, L1544, and L483 as well as the circumstellar envelope IRC+10216. We found that the use of the rate coefficients of HC3N when investigating the excitation in the ISM of HC2NC or HC3N may lead to underestimation down to ~15% or overestimation up to ~40% for 104 ≤ I(H2) (cm−3) ≤ 5× 104. The deviations depend on the emission line, the kinetic temperature, and the isomer.
Using a fixed temperature for each astrophysical environment, we derived (i) the gas density of the cold media which agrees fairly well with the results in the literature and (ii) the column density of the isomers. For the latter, we found significant differences with respect to the previous modelling performed for TMC-1, L1544, and L483. In contrast with previous determinations of the N(HC2NC)/N(HNC3) abundance ratios, focused on an individual source each, which found a high dispersion of values, our simulation suggests similar ratios in cold media. This finding, supplemented by the fact that TMC-1, L1544, and L483 are characterized by similar physical conditions, let us believe that the same chemistry governs the formation and destruction paths of HC3N, HC2NC, and HNC3 in these cold media. Due to the simplicity of our model which does not take the temperature and density gradients of IRC+10216 into account, we could not reproduce the observational spectra with reasonable gas densities. We expect that the problem discussed in this paper will encourage further modelling with more robust non-LTE radiative transfer tools and future studies to revisit the chemistry of HC3N and its isomers in cold molecular clouds.
Acknowledgements
The authors acknowledge the Programme National “Physique et Chimie du Milieu Interstellaire” (PCMI) of Centre National de la Recherche Scientifique (CNRS)/Institut National des Sciences de l’Univers (INSU) with Institut de Chimie (INC)/Institut de Physique (INP) co-funded by Commissariat a l’Energie Atomique (CEA) and Centre National d’Etudes Spa-tiales (CNES). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 811363). This work was granted access to the Occigen HPC resources of CINES under the allocation 2019 [A0070411036] made by GENCI. F.L. acknowledges the Institut Universitaire de France. The authors warmly acknowledge fruitful discussions with Marcelo Agúndez.
Appendix A Optical depth of the HC2NC and HNC3 emission lines
In this section, we present the dependence of the optical depths (τ) of the HC2NC and HNC3 emission lines on the H2 volume density for selected temperatures. We used column density values of 1012 cm−2 and 1011 cm−2, similar to those derived in our fit, for HC2NC and HNC3, respectively. Figs. A.1 and A.2 show very low opacities, suggesting that the lines are optically thin. Since τ is proportional to the column density, using higher column densities does not change the optically thin regime.
![]() |
Fig. A.1 Dependence of the optical depth for the HC2NC observed emission lines on the gas density for selected temperatures. The blue and red lines stand for temperatures of 10 K and 40 K, respectively. The calculations were performed using a column density of 1012 cm−2. |
References
- Adler, T. B., Knizia, G., & Werner, H.-J. 2007, J. Chem. Phys., 127, 221106 [Google Scholar]
- Agúndez, M., Cernicharo, J., Quintana-Lacaci, G., et al. 2017, A&A, 601, A4 [Google Scholar]
- Agúndez, M., Marcelino, N., Cernicharo, J., Roueff, E., & Tafalla, M. 2019, A&A, 625, A147 [Google Scholar]
- Bop, C. T., Batista-Romero, F. A., Faure, A., et al. 2019, ACS Earth Space Chem., 3, 1151 [NASA ADS] [CrossRef] [Google Scholar]
- Bop, C. T., Lique, F., Faure, A., Quintas-Sánchez, E., & Dawes, R. 2021, MNRAS, 501, 1911 [Google Scholar]
- Botschwina, P., Horn, M., Seeger, S., & Flügge, J. 1992, Chem. Phys. Lett., 195, 427 [NASA ADS] [CrossRef] [Google Scholar]
- Cernicharo, J., Marcelino, N., Agúndez, M., et al. 2020a, A&A, 642, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cernicharo, J., Marcelino, N., Pardo, J., et al. 2020b, A&A, 641, A9 [Google Scholar]
- Cordiner, M., Buckle, J., Wirström, E., Olofsson, A., & Charnley, S. 2013, ApJ, 770, 48 [NASA ADS] [CrossRef] [Google Scholar]
- Endres, C. P., Schlemmer, S., Schilke, P., Stutzki, J., & Müller, H. S. 2016, J. Mol. Spectr., 327, 95 [Google Scholar]
- Faure, A., Lique, F., & Wiesenfeld, L. 2016, MNRAS, 460, 2103 [NASA ADS] [CrossRef] [Google Scholar]
- Gensheimer, P. 1997, ApJ, 479, L75 [NASA ADS] [CrossRef] [Google Scholar]
- Gensheimer, P. D. 1998, in Dust and Molecules in Evolved Stars, eds. I. Cherchneff, & T. J. Millar (Dordrecht: Springer Netherlands), 199 [Google Scholar]
- Green, S. 1975, J. Chem. Phys., 62, 2271 [Google Scholar]
- Guélin, M., Patel, N., Bremer, M., et al. 2018, A&A, 610, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hill, J. G., Mazumder, S., & Peterson, K. A. 2010, J. Chem. Phys., 132, 054108 [Google Scholar]
- Jiménez-Serra, I., Vasyunin, A. I., Caselli, P., et al. 2016, ApJ, 830, L6 [Google Scholar]
- Kawaguchi, K., Ohishi, M., Ishikawa, S.-I., & Kaifu, N. 1992a, ApJ, 386, L51 [NASA ADS] [CrossRef] [Google Scholar]
- Kawaguchi, K., Takano, S., Ohishi, M., et al. 1992b, ApJ, 396, L49 [CrossRef] [Google Scholar]
- Krüger, M., Dreizler, H., Preugschat, D., & Lentz, D. 1991, Angewandte Chem. Int. Ed. Engl., 30, 1644 [CrossRef] [Google Scholar]
- Osamura, Y., Fukuzawa, K., Terzieva, R., & Herbst, E. 1999, ApJ, 519, 697 [NASA ADS] [CrossRef] [Google Scholar]
- Pratap, P., Dickens, J., Snell, R. L., et al. 1997, ApJ, 486, 862 [NASA ADS] [CrossRef] [Google Scholar]
- Quénard, D., Vastel, C., Ceccarelli, C., et al. 2017, MNRAS, 470, 3194 [Google Scholar]
- Van der Tak, F., Black, J. H., Schöier, F., Jansen, D., & van Dishoeck, E. F. 2007, A&A, 468, 627 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vastel, C., Ceccarelli, C., Lefloch, B., & Bachiller, R. 2014, ApJ, 795, L2 [NASA ADS] [CrossRef] [Google Scholar]
- Vastel, C., Kawaguchi, K., Quénard, D., et al. 2018a, MNRAS, 474, L76 [NASA ADS] [CrossRef] [Google Scholar]
- Vastel, C., Quénard, D., Le Gal, R., et al. 2018b, MNRAS, 478, 5514 [Google Scholar]
- Wernli, M., Wiesenfeld, L., Faure, A., & Valiron, P. 2007, A&A, 464, 1147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
All Tables
Parameters of the HC2NC and HNC3 lines observed towards TMC-1, L1544, L483, and IRC+10216.
Column densities and abundance ratios of HC2NC and HNC3 derived for TMC-1, L1544, and L483.
All Figures
![]() |
Fig. 1 Relative deviation of iB upon Model (2) compared to Model (3) (see text for the description of the models) as a function of the H2 volume density for selected temperatures and transitions. We note that HC2NC and HNC3 are represented in the left and right panels, respectively. These data were calculated for fixed column densities of 1012 cm−2. The grey band delimits the region where 104 ≤ n (cm−3) ≤ 5 × 104. |
In the text |
![]() |
Fig. 2 Same as Fig. 1, but the y axis represents the HC2NC and HNC3 brightness temperature ratios calculated with Model (3). |
In the text |
![]() |
Fig. 3 Variation of the χ2 parameter as a function of the H2 volume density and the column densities of HC2NC and HNC3 for the sources of interest. The solid blue [red] lines represent confidence contour levels of 63.3%, 90.0%, 99.0%, and 99.9% (from the inner to outer contours) for the HC2NC [HNC3] isomer. The ‘+’ symbol highlights the position of the minimum value of χ2. The blue (red) and grey-shaded regions show the column density of HC2NC (HNC3) derived using Model (1) or Model (2) (see text) and the typical H2 density in molecular clouds, respectively. |
In the text |
![]() |
Fig. 4 Relative abundance of HC2NC with respect to HNC3 in cold environments. The subscripts a,b,c and d refer to Osamura et al. (1999), Vastel et al. (2018a), Cernicharo et al. (2020a), and Agúndez et al. (2019), respectively. |
In the text |
![]() |
Fig. A.1 Dependence of the optical depth for the HC2NC observed emission lines on the gas density for selected temperatures. The blue and red lines stand for temperatures of 10 K and 40 K, respectively. The calculations were performed using a column density of 1012 cm−2. |
In the text |
![]() |
Fig. A.2 Same as Fig. A.1, but for HNC3 using a column density of 1011 cm−2. |
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.