Issue |
A&A
Volume 692, December 2024
|
|
---|---|---|
Article Number | A5 | |
Number of page(s) | 10 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202451902 | |
Published online | 28 November 2024 |
Evolution of Chemistry in the envelope of HOt CorinoS (ECHOS)
II. The puzzling chemistry of isomers as revealed by the HNCS/HSCN ratio
1
Observatorio Astronómico Nacional (OAN),
Alfonso XII, 3,
28014
Madrid,
Spain
2
Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM,
91191
Gif-sur-Yvette,
France
3
Centro de Astrobiología (CAB), INTA-CSIC,
Carretera de Ajalvir Km. 4, Torrejón de Ardoz,
28850
Madrid,
Spain
4
Max-Planck-Institut für extraterrestrische Physik,
85748
Garching,
Germany
5
Physikalish-Meteorologisches Observatorium Davos und Weltstrahlungszentrum (PMOD/WRC),
Dorfstrasse 33,
7260
Davos Dorf,
Switzerland
6
Institut de Ciències de l’Espai (ICE, CSIC), Can Magrans s/n,
08193
Bellaterra, Barcelona,
Spain
7
Institut d’Estudis Espacials de Catalunya (IEEC),
Barcelona,
Spain
8
Departamento de Estadística e Investigación Operativa, Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid,
Spain
9
Joint Center for Ultraviolet Astronomy, Universidad Complutense de Madrid, Avda Puerta de Hierro s/n,
28040,
Madrid,
Spain
★ Corresponding author; g.esplugues@oan.es
Received:
16
August
2024
Accepted:
19
October
2024
Context. The observational detection of some metastable isomers in the interstellar medium with abundances comparable to those of the most stable isomer, or even when the stable isomer is not detected, highlights the importance of non-equilibrium chemistry. This challenges our understanding of the interstellar chemistry and shows the need to study isomeric forms of molecular species to constrain chemical processes occurring in the interstellar medium.
Aims. Our goal is to study the chemistry of isomers through the sulphur isomer pair HNCS and HSCN, since HSCN has been observed in regions where its stable isomer has not been detected, and the observed HNCS/HSCN ratio seems to significantly vary from cold to warm regions.
Methods. We used the Nautilus time-dependent gas-grain chemical code to model the formation and destruction paths of HNCS and HSCN in different astrochemical scenarios, as well as the time evolution of the HNCS/HSCN ratio. We also analysed the influence of the environmental conditions on their chemical abundances.
Results. We present an observational detection of the metastable isomer HSCN in the Class I object B1-a (N=(1.1±0.6)×1012 cm−2), but not of the stable isomer HNCS, despite HNCS lying 3200 K lower in energy than HSCN. Our theoretical results show an HNCS/HSCN ratio sensitive to the gas temperature and the evolutionary time, with the highest values obtained at early stages (t≲104 yr) and low (Tg≲20 K) temperatures. A more detailed analysis also shows that the main mechanism forming HNCS in young (t<105 yr) and cold (Tg=10 K) objects at moderate-low densities (nH≤105 cm−3) is a grain surface reaction (the chemical desorption reaction Nsolid+HCSsolid→HNCS), unlike previous predictions that suggest only gas-phase chemistry for its formation. However, for the formation of its metastable isomer HSCN, over the same time range and physical conditions, we find that both surface and gas-phase reactions (through the ion H2NCS+) play important roles. In warmer (Tg≥50 K) regions, the formation of this isomer pair is only dominated by gas-phase chemistry through the ions H2NCS+ (mainly at low densities) and HNCSH+ (mainly at high densities).
Conclusions. The results suggest a different efficiency of the isomerisation processes depending on the source temperature. The progressive decrease of HNCS/HSCN with gas temperature at early evolutionary times derived from our theoretical results indicates that this ratio may be used as a tracer of cold young objects. This work also demonstrates the key role of grain surface chemistry in the formation of the isomer pair HNCS and HSCN in cold regions, as well as the importance of the ions H2NCS+ and HNCSH+ in warm/hot regions. Since most of the interstellar regions where HSCN is detected are cold regions (starless cores, Class 0/I objects), a larger sample including sources characterised by high temperatures (e.g. hot cores) are needed to corroborate the theoretical results.
Key words: ISM: abundances / ISM: clouds / ISM: molecules
© The Authors 2024
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
The interstellar medium (ISM) presents a large variety of physical conditions with temperatures ranging between ~10–104 K, densities varying from ~10–108 cm−3, and energetic radiation (in some cases even ionising radiation) (Yamamoto 2017). Thermodynamic equilibrium requires all species to collide with each other frequently enough. The collisional timescale is determined (e.g. Klein & Kerp 2008) by (1)
where λ is the mean free path of the particle, v is the typical particle velocity, T is the temperature, and nH is the atomic H density. Adopting T=100 K and nH=1 cm−3, we obtain about one collision in ~500 years. Therefore, the ISM can be considered far from being in thermodynamic equilibrium. In spite of this, we find very large and complex chemical species in the ISM, in particular in dense clouds, some of them having even a prebiotic importance. This is the case of many detected molecules, such as the simplest sugar glycolaldehyde (Hollis et al. 2000), urea (Belloche et al. 2019), which is a possible precursor of ribonucleotides (Becker et al. 2019), and amino acetonitrile, vinyl amine, and ethyl amine, which are precursors of amino acids (Belloche et al. 2008; Zeng et al. 2021).
Another proof of non-equilibrium in the ISM is the detection of metastable isomers. Of all interstellar molecules that could have isomers (i.e. molecules containing three or more atoms), about 30% have detected isomeric counterparts (Hollis 2005), which implies a very high presence of isomerism in the ISM. In literature, there are several detections of species with much higher energies than their stable isomers. This is, for instance, the case for HNC, whose energy is 7400 K higher than that of HCN (Adande et al. 2010), but it is still observed in cold molecular clouds (where the kinetic temperature is well below 100 K) with nearly the same abundance as HCN (Hirota et al. 1998). In warm molecular clouds, however, the HNC/HCN abundance ratio is significantly lower than unity (Irvine & Schloerb 1984; Churchwell et al. 1984; Schilke et al. 1992; Hirota et al. 1998) because HNC abundance decreases with the kinetic temperature (Marcelino et al. 2010).
A similar scenario holds for the isomer pair HNCS and HSCN. Isothiocyanate, HNCS (isothiocyanic acid), is a linear molecule that was first detected by Frerking et al. (1979) in Sgr B2(OH). Its metastable isomer, HSCN (thiocyanic acid), was also first detected in the Sagittarius region, in particular in Sgr B2(N), by Halfen et al. (2009). HSCN lies over 3200 K (about 6 kcal mol−1) higher in energy than HNCS and has a bent structure (Wierzejewska & Moc 2003; Adande et al. 2010). The HNCS/HSCN ratio is found to be ~2–7 in Sgr B2 with the lowest values near the warm hot cores (Adande et al. 2010). In particular, in Sgr B2, HNCS and HSCN present extended spatial distributions over a 6′×3′ region (Adande et al. 2010), where the gas temperature does not exceed 50 K (de Vicente et al. 1997). These observations show the largest HNCS/HSCN ratios at the 2N position, where the gas is relatively quiescent. These results are puzzling since they suggest a different efficiency of the isomerisation processes depending on the temperature of the clouds.
Altogether this shows the important role of non-equilibrium chemistry in the interstellar medium, as well as the study of isomerism, since the analysis of their formation and destruction chemical processes may provide clues to better understanding the complexity of the ISM.
In this work, we carried out a comprehensive study of the sulphur isomer pair HNCS and HSCN to analyse the influence of the environmental conditions on their abundances. We present the chemical model that we have used in Sect. 2. In Sect. 3, we present the model results concerning the evolution of the HNCS and HSCN abundances and of their ratio. A discussion, including an exhaustive analysis of the main mechanisms forming and destroying this isomer pair, as well as a comparison with other isomeric ratios, is shown in Sect. 4. We also present (Sect. 4.2) observations of HSCN in the Solar-type protostar (Class I) B1-a carried out with the Yebes-40m telescope in this paper. We analyse these observational results by comparing them with those found in other type of sources. We finally summarise our conclusions in Sect. 5.
2 Chemical model
To theoretically study the chemistry forming and destroying HNCS and HSCN, we used the chemical model Nautilus (Ruaud et al. 2016), which is a three-phase model (gas, grain surface, and grain mantle). Nautilus solves the kinetic equations for both the gas phase species and the grain surface species of interstellar dust grains, and computes the time evolution of chemical abundances. In the case of surface species, Nautilus distinguishes among species in the most external layers (in particular, two monolayers), the so-called surface species, and the species below these layers (the so-called mantle species). In particular, the species on the surface becomes a mantle species when two new monolayers of material are accreted above it. These two monolayers become the new surface of the ice.
With respect to chemical processes, the ones occurring in the gas phase that are included in Nautilus are bimolecular reactions (neutral-neutral and ion-neutral reactions); direct cosmic-ray ionization or dissociation; ionisation and dissociation by UV photons; ionisation and dissociation produced by photons induced by cosmic-ray interactions with the medium (Prasad & Tarafdar 1983); and electronic re-combinations. Regarding chemical-grain surface processes, this version of the code includes the sputtering of grains by cosmic-ray particles (CR sputtering) and non-thermal desorption (distinguishing among three types of desorption: photo-desorption, chemical desorption, and cosmic-ray heating). These three types of desorption can only occur for surface species, while CR sputtering can take place for both surface and mantle species. For more details about the version used in this paper we invite the reader to consult Wakelam et al. (2021).
The chemical network used in Nautilus is based on the KInetic Database for Astrochemistry (KIDA1). In particular, it is the chemical network kida.uva.2022; this contains the updates presented in Wakelam et al. (2019) and new non-thermal desorption mechanisms, such as cosmic-ray sputtering, as described in Wakelam et al. (2021). In all models, we adopted the initial abundances shown in Table 1.
3 Model results
3.1 HNCS and HSCN abundance evolution
We computed several Nautilus models in order to study the sensitivity of the HNCS and HSCN abundances to different physical parameters: gas density, gas temperature, and temporal evolution.
In Figure 1, we show the abundances of HNCS and HSCN as a function of time over the course of 10 million years when varying the density from nH=104 to 107 cm−3 and the gas temperature from Tg=7 to 80 K, which are typical conditions of the gas in star-forming dense cores. We first highlight the fact that, for densities of nH≤105 cm−3, both isomers reach the same maximum abundance (X~10−10) at the same time. At higher densities, we find that the maximum abundance reached by HNCS is about one order of magnitude higher than the one reached by HSCN. This result suggests that low-density interstellar environments promote the formation of the metastable isomer HSCN.
Another effect observed for both molecules when varying the density is that the time at which the maximum abundance is reached decreases as density increases. In particular, we obtain the maximum values of HNCS and HSCN at t~5×105, ~105, ~104, and t~103 yr for nH=104, 105, 106, and 107 cm−3, respectively. In the case of low-density nH=104 cm−3, we also observe that, when the gas temperature is in the range of 10≲Tg≲35 K, the gas-phase abundances of both isomers reach their maximum values and then remain stable from ~5×105 years on. For the rest of the cases, however, especially the ones with the highest densities, once the maximum abundance is reached for either molecule, it rapidly decreases. This may be due to the lower number of molecular interactions in the case of low density environments, thus allowing the preservation of HNCS and HSCN.
Another physical parameter that we analyse in Fig. 1 is the gas temperature. In this case, we observe that the highest values of XHNCS and XHSCN are reached for Tg≲40 K, when nH≤105 cm−3, and for even lower temperatures (Tg≲20 K) when nH>106 cm−3.
In general, as derived from Fig. 1, the highest abundances of the isomers HNCS and HSCN are mostly found at late evolutionary stages (t≳105 yr) for low densities, and at early evolutionary stages (t<105 yr) for interstellar regions with high densities, as well as at low/warm temperatures (Tg<40 K) for most of the cases.
Fig. 1 Evolution of HNCS (top) and HSCN (bottom) fractional abundance as a function of time for an initial sulphur abundance (relative to nH) S+ = 1.5 × 10−6, a CR ionisation rate ξ = 1.3 × 10−17 s−1, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
Abundances with respect to total hydrogen nuclei considered in the chemical code Nautilus.
3.2 HNCS/HSCN ratio
Figure 2 shows the evolution of the HNCS/HSCN ratio with time for different interstellar scenarios. We first observe that this ratio significantly decreases independently with temperature on the considered density for t≲104 yr. In particular, the HNCS/HSCN ratio is maximal (with a value ≳8) at temperatures lower than 30 K, and it rapidly decreases for higher temperatures and longer evolutionary times. In the case of a very low density (nH=104 cm−3), we obtain the highest value with HNCS/HSCN~21, which is roughly double the maximum value obtained for higher densities. Altogether this suggests that, for nH≤106 cm−3, the HNCS/HSCN ratio may be used as a tracer of regions characterised by low temperatures.
As previously mentioned, we observe in Fig. 2 that the evolutionary time also plays an important role on the HNCS/HSCN ratio, finding the highest values at early times and a significant decrease for older scenarios when nH≤106 cm−3. In particular, the highest HNCS/HSCN ratios are obtained at t≲104 yr, since at these times HNCS is about one order of magnitude more abundant than HSCN (see Fig. 1), while HSCN becomes approximately as abundant as HNCS for t>104 yr. This leads to a HNCS/HSCN ratio ≲2 for evolved stages. A high HNCS/HSCN ratio may therefore be useful for tracing very early evolutionary interstellar regions. Nevertheless, we also notice that in the case of very a high density (nH=107 cm−3), high temperature (T~60 K), and t>105 yr, there is a slight increase in the HNCS/HSCN ratio, which reaches a value of up to ~7. It is produced by a decrease in the HSCN abundance at these physical conditions (Fig. 1).
3.3 Other isomer pairs
The fact that thiocyanic acid (HSCN) is a metastable isomer lying over 3200 K higher in energy than HNCS could suggest that it has a minor role in the interstellar chemistry compared to HNCS and that the low HNCS/HSCN ratios given in the previous section (Fig. 2) for long times or high temperatures could be mainly due to a significant decrease in the HNCS abundance. However, observations of HSCN in several interstellar regions at similar abundances to those of HNCS (e.g. Agúndez et al. 2019), or even observations where HSCN is detected but not HNCS (e.g. Vastel et al. 2018), show that there is an efficient formation of this metastable isomer in the ISM, in agreement with model results of Fig. 1.
This behaviour has also been detected in other isomers, such as the oxygen counterpart of HNCS, especially HNCO. The stable isomer HNCO has several metastable isomers with a singlet ground electronic state: HOCN, HCNO, and HONC. These isomers correspond to increasingly higher energies than HNCO according to quantum chemical calculations (24.7, 70.7, and 84.1 kcal mol−1, respectively, which in Kelvin scale is 12 430, 35 276, and 42 321 K, respectively; Schuurman et al. 2004). Marcelino et al. (2009) carried out a study of HNCO and its isomers in a sample that included a variety of sources, such as quiescent prestellar cores, low-mass protostellar objects, and hot cores (some of them located in clouds of the Galactic centre, GC). HCNO was not detected towards the warm GC clouds, and only upper limits were derived. Their results showed that the HNCO/HCNO ratio is in the range between 20 and 90 in cold clouds, but it is much larger in warm clouds, suggesting that the metastable isomer HCNO is more efficiently produced in cold regions than in warm regions analogous to HSCN. Regarding HOCN (the most stable isomer after HNCO), it has been detected in several positions of the giant molecular cloud Sgr B2 with a HNCO/HOCN ratio <170 in the quiescent and extended gas at an offset position of (20″, 100″) from the hot core Sgr B2 (M) close to the maximum HNCO emission, and with a HNCO/HOCN ratio of up to ~400 close to the hot cores Sgr B2 (M), (S), and (N). In the case of the cold region TMC-1, the HNCO/HOCN ratio was ~100 (Brünken et al. 2009b, 2010). These results also suggest that the metastable isomer HOCN, which seems to be as widespread as HNCO, is also more efficiently produced in cold, quiescent gas than in hot regions. Figure 3 shows the evolution of the HNCO/HOCN ratio with time, for different gas temperatures and densities. We observe that this ratio reaches its maximum values at very early times, in the very low-density (104 cm−3) scenario, and for a temperature range between 30 and 50 K. In this case, the maximum abundance of HNCO is about three orders of magnitude higher than the one of HOCN. Nevertheless, the HNCO/HOCN ratio significantly decreases out of this temperature range or with the evolutionary time. For scenarios with higher density, we find a similar trend for HNCO/HOCN, but with maximum values in this ratio of up to ~200. In any case, for t>5×104 yr, and independently of the considered gas temperature or density, we obtain values of HNCO/HOCN<20.
Another isomeric pair of interest from an astrochemical point of view is HCN and HNC, were HNC is less stable than HCN by 55 kJ mol−1; i.e., 6620 K (Hansel et al. 1998; Baulch et al. 2005; Deprince et al. 2008). In this case, the most stable isomer is not necessarily the most abundant in molecular clouds, especially in cold sources, since HCN and HNC also present a different behaviour depending on the kinetic temperature of the source (e.g. Hacar et al. 2020). In particular, while the abundance of the metastable isomer HNC is similar to, and even higher than that of HCN in dark clouds, the HCN/HNC ratio is much larger than unity in warm molecular clouds (Irvine & Schloerb 1984; Churchwell et al. 1984; Schilke et al. 1992; Hirota et al. 1998; Loison et al. 2014). The main reason for this behaviour is HNC, whose abundance decreases when the temperature increases, while the HCN abundance does not change significantly (Marcelino et al. 2010). Hacar et al. (2020) demonstrated, with models and observations, the strong sensitivity of the I(HCN)/I(HNC) ratio to the gas kinetic temperature and the use of this ratio as a new chemical thermometer for the molecular ISM since HCN/HNC shows increasing values at high gas temperatures. In contrast to the HNCS/HSCN ratio, which decreases with temperature (Fig. 2), we also obtain the HCN/HNC trend found by Hacar et al. (2020), as shown in Fig. 4, although with the presence of two temperature ranges where HCN/HNC is maximised. Regarding the density effect, we find that the higher the density the larger the maximum HCN/HNC ratio, unlike for the HNCS/HSCN and HNCO/HOCN ratios. In any case, all these isomer ratios have in common the fact that they reach their maximum values at early times, i.e., t<105 yr, and then they significantly decrease.
Fig. 2 Evolution of HNCS/HSCN ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
Fig. 3 Evolution of HNCO/HOCN ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
Fig. 4 Evolution of HCN/HNC ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
Fig. 5 Main chemical reaction rates forming (top) and destroying (bottom) HNCS. JX means solid X. |
4 Discussion
4.1 Formation and destruction mechanisms
Isomerism is a common phenomenon in interstellar chemistry (Hollis 2005). The relative abundance of isomeric pairs of small molecules is a sensitive probe of the physical and chemical properties of astronomical sources (e.g. Schilke et al. 1992). In particular, the astronomical detection of several high-lying isomers, such as HOCN, HCNO, and HSCN (Brünken et al. 2009a; Marcelino et al. 2010; Halfen et al. 2009), highlights the importance of non-equilibrium chemistry, putting into question our understanding of interstellar chemistry and revealing the need to include isomers of known interstellar molecules in astrochemical networks. This is especially relevant for the case of HSCN since most chemical models used in the past have poorly predicted its formation due to a lack of laboratory experiments with this isomer. In fact, up to about a decade ago, HSCN was only characterised experimentally at low spectral resolution by matrix-IR spectroscopy, forming it by UV-photolysis of HNCS in solid argon and nitrogen (Wierzejewska & Mielke 2001). Later, Brünken et al. (2009b) provided a precise determination of the rotational spectrum of HSCN by Fourier transform microwave spectroscopy between 10 and 35 GHz, as well as a millimetrewave absorption spectroscopy between 75 and 350 GHz.
When HSCN was first detected by Halfen et al. (2009), they deduced that it could be formed through a common ionic precursor (likely HNCSH+) with HNCS, due to the similar abundances of HSCN and HNCS. A similar conclusion was reached in Adande et al. (2010) specifying that these molecules may be mainly produced in the gas phase given the energy difference of over 3200 K between the two of them. However, Cernicharo et al. (2024) recently used a gas-phase chemical model of a cold dense cloud to reproduce their observations of HNCS and HSCN in TMC-1, and the model results severely underestimate the observed abundances. To shed light on the formation and destruction of HNCS and HSCN, we studied the formation and destruction chemical rates of the main reactions related to this isomer pair, considering different astrophysical scenarios through the gas-grain chemical code Nautilus. In particular, we ran models to evaluate the evolution of the chemical rate over 107 yr for densities from 104–107 cm−3, and three different gas temperatures, Tg=10, 50, and 80 K. Results for HNCS and HSCN are shown in Figs. 5 and 6, respectively.
Regarding HNCS (top row of Fig. 5), in a lowtemperature (Tg=10 K) scenario, the gas-grain chemistry dominates its formation through the chemical desorption reaction JN+JHCS→HNCS, where the prefix J represents the grain surface species. In particular, this surface chemical reaction dominates for t<104 yr when the density is nH≥106 cm−3 and for t≲105 yr when the density is lower (nH=104–105 cm−3). These moderate densities (≲105 cm−3) and low (Tg~10 K) temperatures are the typical physical conditions found in the outer envelopes of young cold sources, such as the Class 0 objects L483 (Agúndez et al. 2019), B1-b (Daniel et al. 2013), and B 335 (Shirley et al. 2011; Cabedo et al. 2023; Esplugues et al. 2023), as well as in the cold dark core TMC-1 (Bujarrabal et al. 1981; Pratap et al. 1997). Our results indicate that the formation of HNCS in cold young objects is mainly through the surface reaction JN+JHCS→HNCS unlike previous predictions (e.g. Halfen et al. 2009; Adande et al. 2010). Only for t>105 yr, the gas-phase reactions through the ions H2NCS+ and HNCSH+ become key to forming HNCS.
In the cases with higher temperatures (Tg≥50 K), thermal desorption (JHNCS→HNCS) barely plays a role forming HNCS. This molecule is mainly formed through gas-phase reactions, in particular, through the ion-electron dissociative recombination process H2NCS++e−→HNCS+H, and also over long time periods by the reaction HNCSH++e−→HNCS+H. The ions H2NCS+ and HNCSH+ are formed in turn through hydrogenation of the cation NCS+ via H-atom transfer reactions with molecular hydrogen: NCS++H2→HNCS++H and HNCS++H2→HNCSH+/H2NCS++H.
With respect to the destruction of HNCS (bottom row of Fig. 5), for Tg=10 K its destruction is mainly dominated by gas-phase reactions, in particular by the reaction of HNCS with carbon (ionised carbon during the earliest evolutionary stages and neutral carbon for times up to t~105 yr if nH≤105 cm−3 and up to t~104 yr if nH≥106 cm−3). Over longer time periods, hydrogen ions (both and H+) are the main destroyers of HNCS. In the warm scenario (Tg=50 K), the reaction of HNCS with the ion HCO+ represents the main destruction mechanisms of HNCS at t≳105 yr and nH≤106 cm−3. For high temperatures (Tg=80 K) and moderate densities (nH≤105 cm−3), carbon atoms and sulphur ions become the main destroyers of HNCS at t>104 and t>105 yr, respectively.
Figure 6 shows the results for the formation (top panel) and destruction (bottom panel) of the metastable isomer HSCN. For a low temperature (Tg=10 K) and moderate density (nH≤105 cm−3), the formation of HSCN is dominated by both gas-grain and gas-phase reactions. In particular, the chemical desorption reaction JN+JHCS→HSCN, and the ion-electron recombination reaction H2NCS++e−→HSCN+H dominate up to t~105 yr. Over a longer time, the ion HNCSH+ also becomes an important reactant forming HSCN. In the case at high densities (nH≥106 cm−3), the formation of HSCN is mainly dominated by surface reactions. In warm (Tg=50 K) and hot (Tg=80 K) scenarios (independently of the density), HSCN is mostly formed through the ions H2NCS+ and HNCSH+.
Regarding the destruction of HSCN, in cold regions (Tg= 10 K), it is mainly destroyed through its reaction with ionised carbon (early times), then by reacting with neutral carbon, and also by reacting with ions of hydrogen (, for long times). We find this behaviour independently of the density. When Tg increases (Tg≥50 K), the HSCN destruction caused by the reaction with HCO+ becomes significant at late times (t>105 yr).
Fig. 6 Main chemical reaction rates forming (top) and destroying (bottom) HSCN. JX means solid X. |
4.2 Observations of HNCS and HSCN in the ISM: The case of B1-a
We have carried out observations of B1-a (03h:33m:16.67s, 31°:07′:55.1″) with the Yebes 40-m telescope located at Guadalajara (Spain). In these observations, we used a receiver that consists of two cold, high electron-mobility transistor amplifiers covering the 72–90 GHz W band with horizontal and vertical polarisations. The backends are 2×8×2.5 GHz fast Fourier transform spectrometers with a spectral resolution of 38 kHz, providing full coverage of the W band in both polarisations. The observational mode was position-switching with (−400″, 0″) as the reference position. The main beam efficiency varies from 0.3 at 72.5 GHz to 0.21 at 88.5 GHz.
The Solar-type protostar (Class I) B1-a is located in Perseus (Boogert et al. 2008; Graninger et al. 2016) and stands out as particularly line rich. This source is, in addition, in the vicinity of another YSO, B1-b, which is a known host of complex molecules (Öberg et al. 2014; Marcelino et al. 2018). B1-a also has an outflow from the protostellar core, as revealed by maps of the shock tracer SiO (Bergner et al. 2019).
We detected two transitions of HSCN with an rms >3σ (Fig. 7), but none from HNCS. The detected HSCN transitions span an energy range of Eup=15–29 K. These two lines are observed in emission. We first fitted the observed lines with Gaussian profiles using the CLASS software to derive the radial velocity (vLSR), the line width, and the intensity for each line. These results are shown in Table 2. The detected HSCN emission lines show narrow line profiles (Δv~0.37–0.45 km s−1), suggesting that the HSCN arises from a quiescent region and not from a shocked region. This allows us to fit the line profiles using a single velocity component.
In order to calculate the HSCN column density, we used the LVG code MADEX (Cernicharo 2012), which includes beam dilution of each line depending on the different beam size at each frequency. The code fits the emission-line profiles assuming uniform physical conditions (kinetic temperature, density, line width, source size). For the line width, we assumed a value of 0.45 km s−1 derived from the Gaussian fits (Table 2). Regarding the source size, we assumed a size of 12″ corresponding to ~3600 au at the distance to Perseus (Ortiz-León et al. 2018) since it would include the envelope emission of B1-a according to previous studies (Bergner et al. 2019). In the chemical study carried out by these authors in B1-a, a gas temperature of ~10 K was also obtained. We therefore ran models for two temperatures around this value (TK=8 K and 15 K). Regarding the density, we also ran models considering two different density values, 104 cm−3 and 105 cm−3, since we observe emission from the envelope of B1-a given the large beam size of the used telescope used (HPBW ~22.2″ and 22.0″ for the frequencies 79863 MHz and 80283 MHz, respectively), and, in these regions, the density is usually not greater than 105 cm−3. The best fits obtained for each group of input parameters are shown in Figs. A.1–A.4. From these Figures, we deduced that the model that best reproduces the detected HSCN emission lines is a model with a gas temperature of 15 K and a density of 104 cm−3 (Fig. A.3). This model leads to a HSCN column density of NHSCN=1.1×1012 cm−2. We also used MADEX to derive the upper limit for the HNCS column density considering the same parameters used to obtain NHSCN. This process consists of varying the HNCS column density until the model fit reaches the observed intensity peak of any of the HNCS observed lines. We do not allow the model fit to be greater than any observed line. Following this procedure, we derive NHNCS<1.45×1012 cm−2, which implies a HNCS/HSCN ratio <1.3 for the Solar-type protostar B1-a.
Classified as a Class I source, B1-a has an evolutionary age of ~105 yr (Bianchi et al. 2019). As also previously mentioned, HSCN observations are better reproduced with MADEX when considering a temperature of 15 K and a density of 104 cm−3. Taking these numbers into account to compare with theoretical results, chemical models of Fig. 2 (left panel) show that the HNCS/HSCN is <3 for those physical conditions, in agreement with the observational results (HNCS/HSCN <1.3, Table 3). This low ratio highlights the significant presence of HSCN in this type of source, in spite of it lying 3200 K higher in energy than the stable isomer HNCS (as also shown in Fig. 1). In fact, Fig. 1 (left panels) shows that HSCN is roughly as abundant as HNCS for t≳3×105 yr, with an abundance ≳10−12. However, in spite of model results indicating that HNCS and HSCN have similar abundance, we only detect HSCN in B1-a. The detection of emission from one metastable isomer (HSCN) and not from the stable one (HNCS) was also the case for Vastel et al. (2018) in the L 1544 pre-stellar core. In this instance, a column density of NHSCN=(6.0 ± 0.2)×1010 cm−2 was derived, which is a factor of ~20 below our value in B1-a. In the Taurus region, HSCN emission (N=(5.7 ± 2.8)×1010 cm−2) has been detected (MoralAlmansa et al. in prep.) in the starless core C16, which is located in the B 213 filament (Hacar et al. 2013; Rodríguez-Baras et al. 2021; Esplugues et al. 2022; Fuente et al. 2023), while HNCS emission was not observed. In another starless core (TMC-1), however, Adande et al. (2010) detected both isomers with column densities similar to those found for HSCN in L 1544 (with HNCS/HSCN ratio of 1.3), while the column densities deduced by Cernicharo et al. (2024) in TMC-1 for HNCS and HSCN are a factor of ~4 and ~13, respectively, which is higher than those found by Adande et al. (2010). In the Class 0 object B 335, Esplugues et al. (2023) also detected HSCN emission with NHSCN=(1.0 ± 0.5)×1012 cm−2, while HNCS was only tentatively detected with NHNCS<4.7×1012 cm−2, leading to a HNCS/HSCN ratio of <4.7. In IRAS 4A (another Class 0 object); thus, only HSCN was detected (NHSCN=(1.5 ± 0.7)×1011 cm−2, Fernández-Ruiz et al. in prep.), not HNCS (NHNCS<7.1×1011 cm−2). Both molecules were, however, clearly detected in the Class 0 object L483, with a HNCS/HSCN ratio=1.9 (Agúndez et al. 2019). The fact that HNCS is detected in some sources but not in others of the same type suggests that this molecule might be quite sensitive to the specific environmental conditions of each source, rather than an overproduction (or missing destruction mechanism) of HNCS in the chemical code occurring. If we consider interstellar sources characterised by higher temperatures, we only find detections of HNCS and/or HSCN in Sgr B2 (Halfen et al. 2009; Adande et al. 2010). In this case, the column densities for both isomers are significantly higher than those found in the colder sources (starless cores, Class 0, and Class I), as shown in Table 3, with values ranging from (0.8–4.7)×1013 cm−2 and (0.2–1.3)×1013 cm−2 for HNCS and HSCN, respectively. The HNCS/HSCN ratios in Sgr B2 have a range of 2.2–7.0, with the largest values near the 2N position, where there are no hot cores and the gas should be relatively quiescent (Adande et al. 2010).
Figure 8 shows values of NHSCN in B 335 (Class 0) and B1-a (Class I) that are about one order of magnitude higher than those found in some younger objects, such as the starless/prestellar cores B 213-C16 and L 1544. It could suggest a correlation between NHSCN and the source evolutionary stage. However, the values of NHSCN (and also of NHNCS) found in L483 and IRAS 4A (both Class 0) are significantly lower than the ones found in B 335 (Class 0). This is also the case of the NHSCN values found in the starless/pre-stellar cores B 213-C16 and L 1544 with respect to the one found in TMC-1 by Cernicharo et al. (2024). These column density differences in objects with the same evolutionary stage reinforce the previously mentioned conclusion that environmental effects might have a key influence on their values. Regarding the HNCS/HSCN ratio, we do not find a clear observational trend among the analysed sources. Nevertheless, given the small source sample (with a very limited temperature range) in which these isomers have been detected in the ISM up to date, we would need to increase the number of different regions, especially including observations of warmer regions (such as hot cores and PDRs). This would allow us to derive a stronger conclusion on the presence of HNCS and HSCN in each type of source and the possible dependence of its ratio on the temperature as suggested by the theoretical results.
Fig. 7 Observed lines of HSCN in B1-a. |
Line parameters obtained from Gaussian fits of HSCN lines in B1-a.
Observed column densities, N (cm−2), of HNCS and HSCN in different types of sources.
Fig. 8 HNCS and HSCN column densities (left Y-axis) and HNCS/HSCN ratio (right Y-axis) for different objects: starless/prestellar cores (TMC-1, L 1544, B 213-C16), Class 0 (IRAS 4A, L 483, B 335), Class I (B1-a), and a high-mass star forming region (Sgr B2). Black arrows indicate upper limits (B 335 and B1-a). For TMC-1 and Sgr B2, the observed column density ranges are indicated with horizontal lines. References to these data are included in Table 3. |
5 Summary and conclusions
We carried out a comprehensive theoretical study of the sulphur isomer pair HNCS and HSCN through the time-dependent gasgrain chemical code Nautilus. This allowed us to analyse the influence of several physical parameters (density, gas temperature, time) on their abundances, as well as on the HNCS/HSCN ratio. The results show that low-density interstellar environments promote the formation of the metastable isomer HSCN, in addition to maintaining the highest abundances of both species, HNCS and HSCN, much longer once their maximum values have been reached. Regarding the gas temperature, the models show that the highest abundances are mainly reached for gas temperatures ≲40 K, or even at temperatures ≲20 K for very high-density regions. With Nautilus, we also studied the HNCS/HSCN abundance ratio considering different scenarios. We find that, for nH≤106 cm−3, this ratio significantly decreases when the gas temperature and/or the evolutionary time increases, suggesting that the HNCS/HSCN ratio may be useful as a low-temperature tracer.
Unlike previous studies which indicated that the formation of HNCS and HSCN is driven by gas-phase ion-molecule chemistry, our theoretical analysis has revealed that in cold environments (~10 K) the formation of HNCS and HSCN is mainly determined by grain-surface chemistry (in particular, by chemical desorption through the reaction between JN and JHCS) for the first ~105 yr and ~104 yr, respectively. While for longer evolutionary times or higher gas temperatures, gas-phase chemistry dominates the formation of this sulphur isomer pair through ion-electron recombination reactions (mainly through the ions H2NCS+ and HNCSH+).
In this paper, we also present the observational detection of the metastable isomer HSCN in the Solar-type protostar (Class I) B1-a using the Yebes 40-m telescope. In spite of the stable isomer HNCS lying 3200 K (about 6 kcal mol−1) lower in energy than HSCN, we do not detect HNCS in this source; thus, only an upper limit on its column density has been provided. A comparison of the presence of HNCS and HSCN in different types of regions makes evident the important influence of the environmental effects on their column densities. Regarding the observed HNCS/HSCN ratio, given that the available source sample where both isomers were detected is mostly formed by cold regions (starless/pre-stellar cores and Class 0 objects), the temperature range is too limited to derive strong conclusions about the behaviour of this ratio with temperature. This highlights, therefore, the need to increase the source sample by including high-temperature objects, such as hot cores and PDRs, in order to contrast the theoretical results with observations and to properly analyse the role of the sulphur isomer ratio HNCS/HSCN as a low-temperature tracer.
Acknowledgements
We thank the Spanish MICINN for funding support from the project PID2022-137980NB-I00. This project has also received funding from the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation programme ERC-AdG-2022 (GA No. 101096293). M.N.D. acknowledges the Holcim Foundation Stipend. This project has been carried out with observations from the 40-m radio telescope of the National Geographic Institute of Spain (IGN) at Yebes Observatory.
Appendix A Additional figures
Fig. A.1 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=8 K and n=104 cm−3. |
Fig. A.2 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=8 K and n=105 cm−3. |
Fig. A.3 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=15 K and n=104 cm−3. |
Fig. A.4 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=15 K and n=105 cm−3. |
References
- Adande, G. R., Halfen, D. T., Ziurys, L. M., Quan, D., & Herbst, E. 2010, ApJ, 725, 561 [NASA ADS] [CrossRef] [Google Scholar]
- Agúndez, M., Marcelino, N., Cernicharo, J., Roueff, E., & Tafalla, M. 2019, A&A, 625, A147 [Google Scholar]
- Anglada, G., Sepulveda, I., & Gomez, J. F. 1997, A&AS, 121, 255 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
- Baulch, D. L., Bowman, C. T., Cobos, C. J., et al. 2005, J. Phys. Chem. Ref. Data, 34, 757 [Google Scholar]
- Becker, S., Feldmann, J., Wiedemann, S., et al. 2019, Science, 366, 76 [Google Scholar]
- Belloche, A., Menten, K. M., Comito, C., et al. 2008, A&A, 482, 179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Belloche, A., Garrod, R. T., Müller, H. S. P., et al. 2019, A&A, 628, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bergner, J. B., Öberg, K. I., Walker, S., et al. 2019, ApJ, 884, L36 [CrossRef] [Google Scholar]
- Bianchi, E., Ceccarelli, C., Codella, C., et al. 2019, ACS Earth Space Chem., 3, 2659 [NASA ADS] [CrossRef] [Google Scholar]
- Bianchi, E., Remijan, A., Codella, C., et al. 2023, ApJ, 944, 208 [NASA ADS] [CrossRef] [Google Scholar]
- Bonfand, M., Belloche, A., Garrod, R. T., et al. 2019, A&A, 628, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Boogert, A. C. A., Pontoppidan, K. M., Knez, C., et al. 2008, ApJ, 678, 985 [Google Scholar]
- Brünken, S., Gottlieb, C. A., McCarthy, M. C., & Thaddeus, P. 2009a, ApJ, 697, 880 [CrossRef] [Google Scholar]
- Brünken, S., Yu, Z., Gottlieb, C. A., McCarthy, M. C., & Thaddeus, P. 2009b, ApJ, 706, 1588 [CrossRef] [Google Scholar]
- Brünken, S., Belloche, A., Martín, S., Verheyen, L., & Menten, K. M. 2010, A&A, 516, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bujarrabal, V., Guelin, M., Morris, M., & Thaddeus, P. 1981, A&A, 99, 239 [NASA ADS] [Google Scholar]
- Cabedo, V., Maury, A., Girart, J. M., et al. 2023, A&A, 669, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cernicharo, J. 2012, in EAS Publications Series, 58, eds. C. Stehlé, C. Joblin, & L. d’Hendecourt, 251 [Google Scholar]
- Cernicharo, J., Agúndez, M., Cabezas, C., et al. 2024, A&A, 682, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Churchwell, E., Nash, A. G., & Walmsley, C. M. 1984, ApJ, 287, 681 [NASA ADS] [CrossRef] [Google Scholar]
- Daniel, F., Gérin, M., Roueff, E., et al. 2013, A&A, 560, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Vicente, P., Martin-Pintado, J., & Wilson, T. L. 1997, A&A, 320, 957 [NASA ADS] [Google Scholar]
- Deprince, A. E., Kamarchik, E., & Mazziotti, D. A. 2008, J. Chem. Phys., 128, 234103 [Google Scholar]
- Esplugues, G., Fuente, A., Navarro-Almaida, D., et al. 2022, A&A, 662, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Esplugues, G., Rodríguez-Baras, M., San Andrés, D., et al. 2023, A&A, 678, A199 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Frerking, M. A., Linke, R. A., & Thaddeus, P. 1979, ApJ, 234, L143 [NASA ADS] [CrossRef] [Google Scholar]
- Fuente, A., Rivière-Marichalar, P., Beitia-Antero, L., et al. 2023, A&A, 670, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Graedel, T. E., Langer, W. D., & Frerking, M. A. 1982, ApJS, 48, 321 [NASA ADS] [CrossRef] [Google Scholar]
- Graninger, D. M., Wilkins, O. H., & Öberg, K. I. 2016, ApJ, 819, 140 [Google Scholar]
- Hacar, A., Tafalla, M., Kauffmann, J., & Kovács, A. 2013, A&A, 554, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hacar, A., Bosman, A. D., & van Dishoeck, E. F. 2020, A&A, 635, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Halfen, D. T., Ziurys, L. M., Brünken, S., et al. 2009, ApJ, 702, L124 [NASA ADS] [CrossRef] [Google Scholar]
- Hansel, A., Scheiring, C., Glantschnig, M., Lindinger, W., & Ferguson, E. E. 1998, J. Chem. Phys., 109, 1748 [Google Scholar]
- Hirota, T., Yamamoto, S., Mikami, H., & Ohishi, M. 1998, ApJ, 503, 717 [Google Scholar]
- Hollis, J. M. 2005, in Astrochemistry: Recent Successes and Current Challenges, 231, eds. D. C. Lis, G. A. Blake, & E. Herbst, 227 [Google Scholar]
- Hollis, J. M., Lovas, F. J., & Jewell, P. R. 2000, ApJ, 540, L107 [Google Scholar]
- Irvine, W. M., & Schloerb, F. P. 1984, ApJ, 282, 516 [Google Scholar]
- Jiménez-Serra, I., Viti, S., Quénard, D., & Holdship, J. 2018, ApJ, 862, 128 [CrossRef] [Google Scholar]
- Klein, U., & Kerp, J. 2008, Physics of the Interstellar Medium, 1 [Google Scholar]
- Koumpia, E., van der Tak, F. F. S., Kwon, W., et al. 2016, A&A, 595, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Loison, J.-C., Wakelam, V., & Hickson, K. M. 2014, MNRAS, 443, 398 [Google Scholar]
- Marcelino, N., Cernicharo, J., Tercero, B., & Roueff, E. 2009, ApJ, 690, L27 [CrossRef] [Google Scholar]
- Marcelino, N., Brünken, S., Cernicharo, J., et al. 2010, A&A, 516, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Marcelino, N., Gerin, M., Cernicharo, J., et al. 2018, A&A, 620, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Morton, D. C. 1974, ApJ, 193, L35 [NASA ADS] [CrossRef] [Google Scholar]
- Navarro-Almaida, D., Fuente, A., Majumdar, L., et al. 2021, A&A, 653, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Neufeld, D. A., Wolfire, M. G., & Schilke, P. 2005, ApJ, 628, 260 [Google Scholar]
- Öberg, K. I., Lauck, T., & Graninger, D. 2014, ApJ, 788, 68 [Google Scholar]
- Ortiz-León, G. N., Loinard, L., Dzib, S. A., et al. 2018, ApJ, 869, L33 [Google Scholar]
- Prasad, S. S., & Tarafdar, S. P. 1983, ApJ, 267, 603 [Google Scholar]
- Pratap, P., Dickens, J. E., Snell, R. L., et al. 1997, ApJ, 486, 862 [Google Scholar]
- Quitián-Lara, H. M., Fantuzzi, F., Mason, N. J., & Boechat-Roberty, H. M. 2024, MNRAS, 527, 10294 [Google Scholar]
- Rodríguez-Baras, M., Fuente, A., Riviére-Marichalar, P., et al. 2021, A&A, 648, A120 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ruaud, M., Wakelam, V., & Hersant, F. 2016, MNRAS, 459, 3756 [Google Scholar]
- Schilke, P., Walmsley, C. M., Pineau Des Forets, G., et al. 1992, A&A, 256, 595 [Google Scholar]
- Schuurman, M. S., Muir, S. R., Allen, W. D., & Schaefer, H. F. 2004, J. Chem. Phys., 120, 11586 [Google Scholar]
- Shirley, Y. L., Mason, B. S., Mangum, J. G., et al. 2011, AJ, 141, 39 [NASA ADS] [CrossRef] [Google Scholar]
- Vastel, C., Quénard, D., Le Gal, R., et al. 2018, MNRAS, 478, 5514 [Google Scholar]
- Wakelam, V., & Herbst, E. 2008, ApJ, 680, 371 [NASA ADS] [CrossRef] [Google Scholar]
- Wakelam, V., Ruaud, M., Gratier, P., & Bonnell, I. A. 2019, MNRAS, 486, 4198 [NASA ADS] [CrossRef] [Google Scholar]
- Wakelam, V., Dartois, E., Chabot, M., et al. 2021, A&A, 652, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wierzejewska, M., & Mielke, Z. 2001, Chem. Phys. Lett., 349, 227 [Google Scholar]
- Wierzejewska, M., & Moc, J. 2003, J. Phys. Chem. A, 107, 11209 [Google Scholar]
- Yamamoto, S. 2017, Introduction to Astrochemistry: Chemical Evolution from Interstellar Clouds to Star and Planet Formation [Google Scholar]
- Zeng, S., Jiménez-Serra, I., Rivilla, V. M., et al. 2021, ApJ, 920, L27 [NASA ADS] [CrossRef] [Google Scholar]
All Tables
Abundances with respect to total hydrogen nuclei considered in the chemical code Nautilus.
Observed column densities, N (cm−2), of HNCS and HSCN in different types of sources.
All Figures
Fig. 1 Evolution of HNCS (top) and HSCN (bottom) fractional abundance as a function of time for an initial sulphur abundance (relative to nH) S+ = 1.5 × 10−6, a CR ionisation rate ξ = 1.3 × 10−17 s−1, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
|
In the text |
Fig. 2 Evolution of HNCS/HSCN ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
|
In the text |
Fig. 3 Evolution of HNCO/HOCN ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
|
In the text |
Fig. 4 Evolution of HCN/HNC ratio (colour bar) as a function of time and temperature for a CR ionisation rate ξ=1.3×10−17 s−1, an initial sulphur abundance (relative to nH) S+=1.5×10−6, and a hydrogen number density nH=104, 105, 106, and 107 cm−3. |
|
In the text |
Fig. 5 Main chemical reaction rates forming (top) and destroying (bottom) HNCS. JX means solid X. |
|
In the text |
Fig. 6 Main chemical reaction rates forming (top) and destroying (bottom) HSCN. JX means solid X. |
|
In the text |
Fig. 7 Observed lines of HSCN in B1-a. |
|
In the text |
Fig. 8 HNCS and HSCN column densities (left Y-axis) and HNCS/HSCN ratio (right Y-axis) for different objects: starless/prestellar cores (TMC-1, L 1544, B 213-C16), Class 0 (IRAS 4A, L 483, B 335), Class I (B1-a), and a high-mass star forming region (Sgr B2). Black arrows indicate upper limits (B 335 and B1-a). For TMC-1 and Sgr B2, the observed column density ranges are indicated with horizontal lines. References to these data are included in Table 3. |
|
In the text |
Fig. A.1 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=8 K and n=104 cm−3. |
|
In the text |
Fig. A.2 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=8 K and n=105 cm−3. |
|
In the text |
Fig. A.3 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=15 K and n=104 cm−3. |
|
In the text |
Fig. A.4 Observed lines of HSCN (black histogram) and best-fit LVG model results (red) obtained assuming Tkin=15 K and n=105 cm−3. |
|
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.