Issue |
A&A
Volume 693, January 2025
|
|
---|---|---|
Article Number | A146 | |
Number of page(s) | 19 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202451383 | |
Published online | 16 January 2025 |
Ammonium hydrosulfide (NH4SH) as a potentially significant sulfur sink in interstellar ices
1
Laboratory for Astrophysics, Leiden Observatory, Leiden University,
PO Box 9513,
2300 RA
Leiden,
The Netherlands
2
Leiden Observatory, Leiden University,
PO Box 9513,
2300 RA
Leiden,
The Netherlands
3
Institute for Astronomy, University of Hawai’i at Manoa,
2680 Woodlawn Drive,
Honolulu,
HI
96822,
USA
4
Max Planck Institut für Extraterrestrische Physik (MPE),
Giessenbachstrasse 1,
85748
Garching,
Germany
5
INAF – Osservatorio Astronomico di Roma,
Via di Frascati 33,
00040
Monteporzio Catone,
Italy
6
UK Astronomy Technology Centre, Royal Observatory Edinburgh,
Blackford Hill,
Edinburgh
EH9 3HJ,
UK
7
School of Cosmic Physics, Dublin Institute for Advanced Studies,
31 Fitzwilliam Place,
Dublin 2,
Ireland
★ Corresponding author; slavicinska@strw.leidenuniv.nl
Received:
4
July
2024
Accepted:
16
September
2024
Context. Sulfur is depleted with respect to its cosmic standard abundance in dense star-forming regions. It has been suggested that this depletion is caused by the freeze-out of sulfur on interstellar dust grains, but the observed abundances and upper limits of sulfur-bearing ices remain too low to account for all of the missing sulfur. Toward the same environments, a strong absorption feature at ~6.85 µm is observed, but its long-standing assignment to the NH4+ cation remains tentative.
Aims. We aim to spectroscopically investigate the plausibility of NH4SH salt serving as a sulfur reservoir and a carrier of the 6.85 µm band in interstellar ices by characterizing its IR signatures and apparent band strengths in water-rich laboratory ice mixtures. We then use this laboratory data to constrain NH4SH abundances in observations of interstellar ices.
Methods. Laboratory transmission IR spectra of NH3:H2S ice mixtures both with and without H2O were collected. The apparent band strengths of the NH4+ asymmetric bending (ν4) mode and the SH− stretching mode in H2O-containing mixtures were calculated with Beer’s law plots. The IR features of the laboratory salts were compared to those observed toward a sample of four protostars (two low-mass, two high-mass) and two cold dense clouds without star formation.
Results. Apparent band strengths ranging from 3.2(±0.3)-3.6(±0.4)×10−17 cm molec−1 and 3.1(±0.4)-3.7(±0.5)×10−19 cm molec−1 are calculated for the NH4+ ν4 mode at ~6.8 µm/1470 cm−1 and the SH− stretching mode at ~3.9 µm/2560 cm−1, respectively, in NH4SH:H2O mixtures. The peak position of the NH4+ ν4 mode redshifts with increasing temperature but also with increasing salt concentration with respect to matrix species H2O and NH3. The observed 6.85 µm feature is fit well with the laboratory NH4SH:H2O ice spectra. NH4+ column densities obtained from the 6.85 µm band range from 8–23% with respect to H2O toward the sample of protostars and dense clouds. These column densities are consistent with the optical depths observed at 3.9 µm (the SH− stretching mode spectral region). A weak and broad feature observed at ~5.3 µm/1890 cm−1 is tentatively assigned to the combination mode of the NH4+ ν4 mode and the SH− libration. The combined upper limits of four other counter-anion candidates, OCN−, CN−, HCOO−, and Cl−, are determined to be ≲ 15–20% of the total NH4+ column densities toward three of the protostars.
Conclusions. The redshift of the 6.85 µm feature correlates with higher abundances of NH4+ with respect to H2O in both the laboratory data presented here and observational data of dense clouds and protostars. The apparent band strength of the SH− feature is likely too low for the feature to be detectable in the spectrally busy 3.9 µm region, but the 5.3 µm NH4+ ν4 + SH− R combination mode may be an alternative means of detection. Its tentative assignment adds to mounting evidence supporting the presence of NH4+ salts in ices and is the first tentative observation of the SH− anion toward interstellar ices. If the majority (≳80–85%) of the NH4+ cations quantified toward the investigated sources in this work are bound to SH− anions, then NH4 SH salts could account for up to 17–18% of their sulfur budgets.
Key words: astrochemistry / molecular data / solid state: volatile / techniques: spectroscopic / ISM: abundances / ISM: molecules
© The Authors 2025
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 observed depletion of sulfur toward star-forming regions is a persistent topic of debate in the field of astrochemistry. In the diffuse interstellar medium, sulfur is mostly present in its singly ionized form (S+) with an observed abundance of ~1.7×10−5 with respect to hydrogen (Esteban et al. 2004), similar to its observed solar abundance as well as the abundance measured in CI chondrite meteorites (Lodders 2003; Asplund et al. 2009). However, in the higher-density cold interstellar environments like dense clouds, prestellar cores, and protostellar envelopes from which stellar systems eventually form, the abundance of observed gas-phase sulfur species can be two or three orders of magnitude lower (Joseph et al. 1986; Tieftrunk et al. 1994).
Many chemical models suggest that in such cold and dense environments, most of the sulfur should freeze out and form H2S ice via hydrogenation on the surfaces of interstellar grains (Garrod et al. 2007; Druard & Wakelam 2012; Vidal et al. 2017; Vidal & Wakelam 2018), but to date, no convincing detection of this ice in the interstellar medium exists. This is in part due to the fact that the strongest IR absorption of H2 S ice, its stretching mode at 3.93 µm (2547 cm−1), has a broad profile that overlaps with combination modes of CH3OH ice, a major constituent of interstellar ices, in the same spectral region. Additionally, several other species with S-H bonds have been shown to have absorption profiles similar to H2S that peak between 3.93 and 3.96 µm, making a secure assignment of any absorption detected in this spectral region specifically to H2 S ice difficult (Hudson & Gerakines 2018). Nevertheless, H2S ice upper limits measured toward prestellar cores and protostars are typically ≲1% with respect to H2O, indicating that H2S ice cannot be the major sulfur carrier in these dense environments (Smith 1991; Jiménez-Escobar & Caro 2011; McClure et al. 2023). Two other sulfur-bearing ice species, OCS and SO2, have been detected more securely but at very low abundances (<1% with respect to H2O, Boogert et al. 1997; Öberg et al. 2008; Boogert et al. 2022; McClure et al. 2023; Rocha et al. 2024); therefore, these ices can also only account for at maximum a couple of percent of the cosmic sulfur budget.
This observed sulfur depletion, sometimes dubbed “the missing sulfur problem,” has spurred a variety of questions in the astrochemical community over the past couple of decades. These include why H2S ice is not detected despite what models predict, whether H2S reacts on the ice grain surfaces and forms other icy species that are not easily detected (e.g., Garozzo et al. 2010; Jiménez-Escobar & Caro 2011; Jiménez-Escobar et al. 2014; Chen et al. 2014; Woods et al. 2015; Martín-Doménech et al. 2016; Laas & Caselli 2019), whether H2S ice is just quick to chemisorb into the gas phase from the grain surface following its formation (Oba et al. 2018; Furuya et al. 2022; Santos et al. 2023), or if most of the sulfur is actually hidden in minerals like sulfides (e.g., Keller et al. 2002; Kama et al. 2019; Perrero et al. 2024).
An essential clue may lie in the recently published analysis of in situ mass spectrometric data of the dust grains of comet 67P collected by the ROSINA Double Focusing Mass Spectrometer (Altwegg et al. 2022). This work shows that the cometary grains contain NH4SH salt (NH4+SH−) in exceptionally high abundance. In fact, it is estimated that approximately 90% of the ammonium (NH4+) cations in the analyzed dust grains could be bound to SH− anions. As it is thought that comets may be chemically linked to pre- and protostellar environments (Bockelée-Morvan et al. 2000; Drozdovskaya et al. 2019; Altwegg et al. 2019), it is no stretch to hypothesize that NH4SH salts could be similarly abundant in primitive interstellar ices.
Experiments show that at the cold temperatures expected in the environments where sulfur depletion is observed, NH4 SH forms readily via an acid-base reaction between NH3 and H2S (Loeffler et al. 2015; Hudson et al. 2015; Vitorino et al. 2024). Both molecules are expected to accumulate on interstellar grains around the same time, during the prestellar epoch in which most of the H2O ice forms, based on their deuterium ratios measured in the gas phase (Vastel et al. 2003; Caselli & Ceccarelli 2012). Indeed, NH3 ice has been securely detected toward both dense clouds and protostellar ice envelopes via its 9 µm umbrella mode, with abundances ranging from 3–10% with respect to H2O (Boogert et al. 2015), and its peak profile and narrow abundance distribution with respect to H2O indicate that it likely exists in a water-rich environment (Bottinelli et al. 2010; Öberg et al. 2011).
Furthermore, the NH4+ cation has long been suspected to be the primary carrier of the ubiquitous 6.85 µm feature that is present in the majority of ice-containing lines of sight (Knacke et al. 1982; Grim et al. 1989a,b). The peak position of this feature has also been proposed as a tracer of thermal processing due to its correlation with dust and ice temperatures in protostellar envelopes (Keane et al. 2001; Boogert et al. 2008), a trend that is experimentally corroborated by a redshift in the NH4+ ν4 feature observed during the warm-up of laboratory ammonium salt ices (Schutte & Khanna 2003). NH4+ pre- and protostel- lar ice abundances calculated from the 6.85 µm feature (using a band strength of 4.4×10−17 cm molec−1 measured for the asymmetric bending mode ν4 of NH4+ in laboratory mixtures of NH4+HCOO− salts diluted in H2O, Schutte & Khanna 2003) range from 4–34% with respect to H2O, on par with abundances of the major ice constituents CO, CO2 , and CH3OH (Boogert et al. 2015).
However, the assignment remains controversial for multiple reasons. First, no laboratory data of NH4+ -containing ices have provided a “convincing” fitto the observed feature (Boogert et al. 2015). In particular, currently available laboratory spectra of ammonium salts diluted in H2O-rich ice matrices are too broad and weak to fit the observed feature (Maté et al. 2009; Galvez et al. 2010) despite column density correlations indicating that the primary carrier of the 6.85 µm feature is chemically linked to H2O ice (Tielens & Allamandola 1987; Pontoppidan 2006; Boogert et al. 2011). Additionally, the combined abundances with respect to H2O ice of anionic species identified so far in interstellar ices, OCN− and HCOO−, are usually over an order of magnitude lower than those calculated for NH4+ (e.g., Schutte et al. 1999; van Broekhuizen et al. 2004, 2005; Boogert et al. 2022; McClure et al. 2023; Rocha et al. 2024), so if the 6.85 µm band indeed consists primarily of the ν4 mode of NH4+, other anionic species must be identified to fully counterbalance its net positive charge. Furthermore, no other bands have been unambiguously assigned to NH4+ ; although the 3.26 and 3.48 µm features observed toward some sources on the red wing of the 3 µm H2O feature have been proposed to be NH4+ combination modes (Schutte & Khanna 2003), absorptions at these wavelengths could also be attributed to PAHs (Sellgren et al. 1995) and NH3 hydrates (Dartois & d’Hendecourt 2001), respectively.
With this work, we seek to investigate whether NH4SH salts formed in H2O-rich ices could serve simultaneously as a solution for two astrochemical problems: the sink of the missing sulfur and the identity of the 6.85 µm band. Band strengths of polycrystalline NH4SH ice at 160 K were previously derived by Ferraro et al. (1980), who reported a band strength of ~1.2×10−19 cm molec−1 for the SH− anion stretching mode at 3.89 µm (2570 cm−1). In comparison, Yarnall & Hudson (2022) reported a band strength that is over two orders of magnitude higher, 1.66×10−17 cm molec−1, for the 3.93 µm stretching mode of neutral H2S in a water-rich ice at 10 K. Such a dramatic difference in the reported band strengths of the H2S and SH− stretching features at nearly the same wavelengths highlights the possibility that the abundance of sulfur in interstellar ices may be significantly higher than what the current ice abundances and upper limits predict if some H2S ice has been converted into its anionic form. Ferraro et al. (1980) also reported a band strength of ~2.6×10−17 cm molec−1 for the NH4+ asymmetric bending mode (ν4) at 7.05 µm, almost a factor of 2 lower than the NH4+ band strength of 4.4×10−17 measured by Schutte & Khanna (2003) that is used the most frequently in astronomical literature to quantify NH4+ cations in interstellar ices (e.g., Boogert et al. 2008, 2011; McClure et al. 2023). Therefore, if NH4SH is the main carrier of the 6.85 µm band, its abundance could be almost a factor of 2 higher than indicated by the current NH4+ column density calculations. However, it is important to note that these band strengths were calculated for pure polycrystalline NH4SH at a relatively high temperature (160 K), and the band strengths of NH4SH may differ significantly if the salt is primarily amorphous and in H2O-dominated ice mixtures, as would be expected in most icy lines of sight. To our knowledge, the present literature lacks laboratory spectra and band strengths of NH4SH salts in such astro- physically relevant conditions as well as comparisons of NH4SH laboratory spectra to observed spectra of interstellar ices.
To that end, we have measured infrared spectra of NH4SH formed via the acid-base reaction of co-deposited NH3 and H2S ice, both with and without H2O ice, at temperatures relevant to pre- and protostellar ices. These spectra are made publicly available to the community via the Leiden Ice Database (LIDA, Rocha et al. 2022) for use in fitting to observed ice spectra. We characterize how the peak profiles of the salt change as functions of temperature and dilution with H2O. We then derived apparent band strengths of the NH4+ ν4 mode and SH− stretch in H2O-rich NH4SH ices for use in deriving column densities and upper limits from IR observations. Finally, we compared our laboratory spectra to IR spectra of pre- and protostellar ices to qualitatively evaluate whether NH4SH is a feasible candidate carrier of the 6.85 µm band and quantified plausible column densities of NH4SH ice in the dense star-forming environments where sulfur is depleted.
2 Methodology
2.1 Experimental
All experiments were performed on the InfraRed Absorption Setup for Ice Spectroscopy (IRASIS) in the Laboratory for Astrophysics in the Leiden Observatory. A schematic of the setup is presented in Rachid et al. (2021), and recent upgrades are described in Slavicinska et al. (2023). Briefly, the setup consists of a KBr substrate cooled to a minimum temperature of 15 K via a closed-cycle helium cryostat within an ultrahigh vacuum chamber (base pressure <1×10−9 mbar). Ices are grown on the substrate via background deposition through three independent leak valves, and each leak valve is connected to an independent reservoir on a gas manifold. Ice thickness throughout deposition is monitored via the interference patterns of a 633 nm laser that reflects off both sides of the substrate at 45° incidence, and transmission infrared spectra of the ice on the substrate are collected continuously during deposition and warm-up with a Varian 670 Fourier-transform infrared spectrometer (FTIR). The IR spectra here are collected with a resolution of 0.5 cm−1 using 128 scans per spectrum. A Spectra Microvision Plus quadrupole mass spectrometer (QMS) is used to calibrate each leak valve to specific deposition rates for pure molecules, monitor the ice deposition, and, in some experiments, collect temperatureprogrammed desorption (TPD) mass spectra during warm-up. Following deposition, the substrate can be warmed until all ices have desorbed from the substrate using a LakeShore Model 335 Temperature Controller to heat the substrate at a specific rate. Most of the experiments in this paper utilized a 1 K min−1 heating rate, resulting in a temperature difference of ~3.6 K between each spectrum collected during the warm-up and corresponding to a temperature uncertainty of ~±2 K for each warm-up spectrum.
The liquids and gases used in this work were ammonia (PraxAir, ≥99.96%), hydrogen sulfide (Linde Gas, ≥99.5%), and water (Milli-Q, Type I).
2.1.1 Ice growth rate calibration
The three independent reservoirs of NH3 gas, H2S gas, and H2O vapor each have their own leak valve and inlet into the main chamber. Each leak valve position is calibrated to a specific ice growth rate of a given molecule via dosing the molecule into the chamber at a constant rate and monitoring the ice growth rate with laser interference. More details on the calibration procedure can be found in Appendix A. The benefits of using independent dosing lines compared to dosing a gas mixture from a single dosing line to create an ice mixture have been previously described in Yarnall & Hudson (2022) and Slavicinska et al. (2023).
Summary of NH3 :H2S experiments performed.
2.1.2 NH3:H2S experiments
Previously, Loeffler et al. (2015) formed NH4SH ice in situ on a cryo-cooled substrate via the acid-base reaction of co-deposited NH3 and H2S at 10 K. Here, we partially replicated the methodology for the sake of having pure NH4SH spectra to compare to those of NH4SH mixed with H2O ice. In our experiments, NH3 and H2S were co-deposited at 15 K in a solid-state ratio of 1:1.1. After deposition, the samples were held at 15 K for ~1 h and then heated at a rate of 1 K min−1 until the salt desorbed. We repeated this methodology with 3:2 and 2:3 NH3:H2S mixtures to aid feature assignment in the 15 K pure salt spectrum, which consists of a complex blend of NH3 , H2S, and NH4SH features (Figure 1). Three experiments were performed for each ratio: a short deposition (20 min) for simultaneous TPD collection, a long deposition (60 min) for accurate characterization of weak features, and a medium-length deposition (40 min) for the sake of collecting spectra with high S/N whose strongest peaks did not eventually saturate during warm-up. These experiments are summarized in Table 1.
2.1.3 H2O:NH3:H2S experiments
Table 2 provides an overview of the NH4SH:H2O mixtures we characterized in our experiments. In these experiments, H2O, NH3 , and H2S were co-deposited at 15 K in the ratios specified in the table. As with the pure mixtures, the samples were held at 15 K for ~1 h and then heated at a rate of 1 K min−1 until all ice species desorbed. For three mixtures, we deposited 5 samples of different thicknesses to calculate the band strengths of the NH4+ ν4 mode and the SH− stretching mode. In these experiments, we interrupted the warm-up ramp with a 40 min hold at 120 K (further details are provided in Section 2.1.4). For the remainder of the mixtures, we deposited one sample with the goal of achieving a thickness that provided sufficient S/N for most of the ice features of interest without any of the major peaks saturating upon warm-up. Because the stretching modes of H2S and SH− overlap, we aimed to minimize the unreacted H2S present at the end of warm-up by setting H2S as the limiting reactant in most of the mixtures.
2.1.4 Band strength calculations
Measuring band strengths of species that form via reactions in ices can be a complicated endeavor because it is oftentimes only possible to quantify them indirectly. Previous works that reported band strengths of salt species in ices often performed such an indirect measurement by quantifying the loss of acid or base precursor (Schutte et al. 1999; Schutte & Khanna 2003; van Broekhuizen et al. 2004; Bergner et al. 2016). However, this approach usually relies on the use of literature band strengths of the precursors that were measured in physical and chemical conditions that differ (sometimes significantly) from the ices in which the salt formation was performed, leading to inaccuracies stemming from the assumption that the precursor band strengths are identical in the two different experiments.
Recently, Gerakines et al. (2024) directly measured the refractive index, density, and apparent band strengths of a pure ammonium salt, NH4CN, by dosing NH3 and HCN vapor onto substrates at 125 K and monitoring the ice growth with laser interferometry, a quartz crystal microbalance, and transmission IR. The authors claim that 125 K is too high for the neutral species to stick to their substrates, resulting in in situ formation of pure NH4CN salt absent of unreacted neutrals. Unfortunately, this method cannot be reliably used to find the band strengths of salts in mixtures with other ice species because calculating band strengths of species in mixtures requires knowledge of the deposition rate or deposited column density of the species of interest (Yarnall & Hudson 2022), and the deposition rate of a salt on a substrate may change substantially if another ice species is simultaneously accumulating on the substrate and changing the quantity of acid and base that react with each other on the substrate before they can desorb (relative to the amount that react with each other in a pure salt deposition).
With our method, we aim to eliminate the inaccuracies associated with utilizing previously published band strengths of precursors when deriving the apparent band strengths of our salts. Instead, we have relied on previously determined refractive index and density measurements of the pure limiting reactant in the acid-base reaction, H2S, to calibrate our leak valves to a specific ice growth rate and subsequently have made two assumptions: 1) the deposition rate of H2S on the substrate is the same when it is pure and when it is co-deposited with other species; and 2) 100% of the deposited H2S is converted to its ionic form at the point in the experiment when the integrals of the bands of interest are taken (135 K). We estimate from the IR and TPD spectra of our salt mixtures that the consumption of H2S in our H2O mixture experiments is likely ≥96% at 135 K (see Section 3.2). This would result in a liberal estimate of ∼4% error in our derived band strengths caused by the uncertainty in the reaction completion fraction. To remain conservative in our reported uncertainties, we opt to use a reaction completion uncertainty of twice this value, 8%, in our apparent band strength error calculations (see Appendix B).
The column density of our limiting reactant, H2S, deposited in each experiment was calculated using a deposition rate obtained via a series of control experiments. In this series, we deposited pure H2S ices with the same leak valve position and substrate temperature used during deposition in the mixture experiments. We then derived a deposition rate from the laser interference measured during the deposition using the previously published H2S refractive index of 1.407 and density of 0.944 g cm−3 (Yarnall & Hudson 2022). We repeated this control measurement five times to obtain an average deposition rate and a standard deviation, and we multiplied the average control deposition rate by the deposition time to obtain the total deposited H2S column density for each mixture experiment. The standard deviation of the five control experiments yields an experimental error of 0.36%, which represents the day-to-day variations between depositions performed in different experiments as well as noise and fitting errors in the laser interference data.
We then formed our salt-H2O ice mixtures by depositing H2S with the same experimental parameters as those used in the control experiments, except that we also simultaneously co-deposited NH3 and H2O via their independent leak valves calibrated to deposition rates that corresponded to our desired H2O:NH3:H2S ratios. Following the deposition and a brief hold period at 15 K, we warmed the mixtures at 1 K min−1 until reaching 120 K, where we held them for 40 min to maximize products formed by the beginning of ice desorption. After this second hold, we resumed the 1 K min−1 warm-up until all ice species desorbed. Finally, we created Beer’s law plots for each IR feature of interest by plotting its optical depth at 135 K as a function of total deposited H2S column density for five different deposition times and obtained apparent band strengths from the slopes of the linear least-square fits to the data. The data at 135 K were used to simultaneously maximize the quantity of salt formed (which is greatest at high temperatures) and minimize the loss of salt, matrix, or unreacted precursor via desorption from the analyzed ice (which becomes significant >135 K in the TPD spectra, Figure D.5). The linear fits were obtained using the York method for fitting data with errors on both X and Y variables (York 1966), and the apparent band strengths uncertainties calculated via this procedure range from ∼9–14%. Details regarding the uncertainties of the integrated optical depths and ice column densities used in the Beer’s law plots can be found in Appendix B.
It should be noted that the band strengths calculated in this paper are referred to as “apparent band strengths” and denoted as A’ because they are derived from the infrared spectra of the ices of interest rather than their optical constants. A more detailed explanation of the difference between apparent band strengths and absolute band strengths (typically denoted as A) can be found in Section 3 in Hudson et al. (2014).
![]() |
Fig. 1 Comparison of the infrared spectra of pure and mixed NH3 and H2S ices with peak assignments labeled (see Table C.1). Libration modes are indicated with an R. Several features in the spectrum of mixed NH3 and H2S ices at 15 K indicate the formation of NH4SH salt, although peaks of nonreacted NH3 and H2S are still present. By 120 K, only signatures of the salt remain. The narrowing of the salt features by 140 Kis characteristic of the salt undergoing a phase change (i.e., crystallization). |
Summary of H2O:NH3:H2S experiments performed.
Summary of sources whose ice spectra are compared to laboratory NH4 SH spectra in this work.
2.2 Observational
The selected observed sources for comparison to our laboratory data in this work are presented in Table 3. These sources span a range of masses, environments, and degrees of thermal processing. The spectra of the investigated low-mass young stellar objects (LYSOs) were collected by the Near Infrared Spectrograph Integral Field Unit (NIRSpec IFU, Jakobsen et al. 2022; Böker et al. 2022) and Mid-Infrared Instrument Medium-Resolution Spectrometer (MIRI-MRS, Wright et al. 2023; Argyriou et al. 2023) on the James Webb Space Telescope (JWST, Gardner et al. 2023) as part of the JWST Observations of Young protoStars (JOYS+) collaboration (Program IDs 1290 and 1960, PI Ewine van Dishoeck)1. The massive young stellar objects (MYSOs) W33A and S140 IRS1 were observed by the Short Wavelength Spectrometer on the Infrared Space Observatory (ISO/SWS) (Gibb et al. 2004). The dense cloud spectra were observed by the InfraRed Spectrograph (IRS) on the Spitzer Space Telescope (Knez et al. 2005).
The NIRSpec IFU data of B1-c was collected with the G395M grating, resulting in continuous medium-resolution (R=λ/∆λ~700–1300) spectral coverage from 2.85 to 5.29 µm. The NRSIRS2RAPID readout pattern and a 4-point dither were used, with a total integration time of 1342 s. The instrument parameters used for the B1-c MIRI data are described in Chen et al. (2024).
Spectra were extracted from the B1-c NIRSpec and MIRI datacubes with apertures centered on the central brightest pixel over the full wavelength range (NIRSpec: RA 3:33:17.885, Dec +31:09:31.952; MIRI: RA 3:33:17.898, Dec +31:09:31.852). Differences in coordinates of the extraction apertures are a result of a known issue with WCS calibration in JWST pipeline2. A wavelength-dependent aperture of seven times the diffraction-limited radius was used to extract 1D spectra from both datacubes, resulting in two spectra with overlapping data points between 4.90–5.29 µm. A scaling factor of 0.856 was used to scale the NIRSpec data to the MIRI data in the spectral overlap region.
The NIRSpec IFU data of L1527 was collected with the PRISM and G395H grating, resulting in low-resolution (R=λ/∆λ~30–200) spectral coverage from 0.60–2.87 and 4.06– 4.18 µm and high-resolution (R=λ/∆λ~ 1900–3700) spectral coverage from 2.87–4.06 and 4.18–5.27 µm. The NRSIRS2RAPID readout pattern and a 4-point dither were used for both observations, with a total integration time of 2451 s for the G395H grating and 700 s for the PRISM. The MIRI data of L1527 spans the full MIRI range of 4.90–27.90 µm (R=λ/∆λ~ 1300–3700) and was collected using the FASTR1 readout pattern, a 2-point dither, and a total integration time of 2997 s divided equally between the three MIRI-MRS gratings.
Spectra were extracted from the L1527 NIRSpec and MIRI datacubes with apertures centered on the pixel providing the highest average signal over the full wavelength range (NIRSpec: RA 4:39:53.916, Dec +26:03:09.639; MIRI: RA 4:39:53.886, Dec +26:03:10.1248). A constant aperture with a 1” diameter was used to extract 1D spectra from both datacubes due to the source being extended and the majority of the detected flux being scattered light. The extraction resulted in two spectra with overlapping data points between 4.90–5.27 µm. A scaling factor of 0.783 was used to scale the NIRSpec data to the MIRI data in the spectral overlap region.
3 Spectroscopic characterization
3.1 NH3:H2S
Spectra of the NH3:H2S 1:1 mixture at various temperatures, along with spectra of pure NH3 and H2S at 15 K, are plotted with band assignments labeled in Figure 1. The peak positions for each assignment are listed in Table C.1. Assignments were made based on the work of Bragin et al. (1977), Ferraro et al. (1980) and, in the case of the NH3:H2S mixture at 15 K, changes in the relative intensities of features between the 3:2, 1:1, and 2:3 NH3:H2S mixtures (Figure C.1). For example, the relative intensity of the broad feature at 2417 cm−1 (middle panel) increases with increasing fraction of H2S with respect to NH3 and decreases during warm-up as the neutral ices are consumed by the acid-base reaction, leading to a tentative assignment of the feature to H2S in a matrix with NH3 or NH4SH. Some features are too blended to assign to one specific mode (e.g., the broad feature ∼2900 cm−1 in the NH3:H2S mixture at 15 K tentatively assigned to two blended NH4+ modes).
3.1.1 Reaction at 15 K
It is clear from the prominent NH4+ ν4 feature at ~6.85 µm/ 1460 cm−1 in the NH3:H2S mixtures that a significant amount of NH4SH already forms upon co-deposition at 15 K. The quantity of reactants consumed at 15 K can be estimated via two methods: 1) by calculating the ratio between the peak area of the NH3 umbrella mode in the mixture (with the contribution of the H2S bending mode subtracted out via a two-Gaussian deconvolution) and the peak area in a pure NH3 control sample deposited with identical experimental parameters, or 2) by calculating the ratio between the peak area of the NH4+ ν4 mode at 15 K and the maximum peak area achieved during warm-up. Both methods result in similar estimates of ∼50–60% of the deposited NH3 being consumed immediately upon deposition in all three of the mixing ratios investigated here. However, it is important to note that this is only a rough estimate of the reaction progression as these methods do not account for band strength variations caused by changes in temperature or chemical environment.
The in situ formation of ammonium salts below 20 K has been observed in previous works investigating the acid-base reaction between ammonia and H2S (Loeffler et al. 2015) and other acids such as HNCO (van Broekhuizen et al. 2004), HCN (Gerakines et al. 2004; Noble et al. 2013), and HCOOH (Galvez et al. 2010; Bergner et al. 2016). van Broekhuizen et al. (2004) and Gerakines et al. (2004) suggested that the reaction may be driven at such low temperatures by the freed kinetic energy or the heat of condensation, respectively, of the room-temperature gas-phase molecules when they deposit on the cold substrate. In our experiments, we held the ice samples at 15 K for approximately 1 h after deposition finished before beginning warm-up to monitor the reaction process at cold temperatures without energy input from the warm gas deposition. During this time, the integrated peak area of the NH4+ ν4 mode continued to increase while the integrated peak area of the blended NH3 umbrella mode and H2S bending mode decreased (Figure 2), demonstrating that the NH3 and H2S ice continue to react with each other even after the deposition is complete and the reactants are completely thermalized by the actively cryo-cooled substrate.
![]() |
Fig. 2 Characterization of selected features in the NH3:H2S 1:1 spectra during the isothermal hold at 15 K after deposition finished. Top: peak area of the NH4+ ν4 feature. Middle: peak area of the blended NH3 umbrella bending and H2S bending features. Bottom: peak position of the NH4+ ν4 feature. |
3.1.2 Reaction during warm-up, crystallization, and desorption
As the ice mixtures are heated, their NH4+ ν4 features grow at a much faster rate than during the isothermal hold at 15 K, indicating an increase in the reaction rate. In the 1:1 mixture, the NH4+ ν4 feature reaches its maximum peak area at ~ 131 K. At this temperature, the integrated peak area of the NH3 umbrella mode is 3% relative to its integrated peak area at the beginning of the warm-up (at which point ~50% of the NH3 had already reacted). Moreover, the TPD spectra show that thermal desorption of NH3 between 15–131 K only accounts for 0.4% of the total 17 m/z mass signal (which traces the desorption of both neutral ammonia and the ammonium cation) integrated from 15–250 K. This leads us to estimate that ~98% of the deposited NH3 is converted to NH4SH by 131 K, with very little of the originally deposited NH3 remaining neutral or desorbing by this temperature.
During the warm-up from 15 to 131 K, the broadness of the NH4SH IR features and the presence of the NH4+ symmetric bending mode (ν2) at 5.90 µm/1696 cm−1, which is IR inactive in crystalline NH4SH (Hudson et al. 2015), shows that the ice remains amorphous at these temperatures. Peak sharpening and/or splitting of all of the NH4SH IR features (except the NH4+ ν2 feature, which disappears), are observed at ~ 135 K, indicative of the salt crystallizing. This event also coincides with an increase in the desorption of both NH3 and H2S in the TPD spectrum (Figure C.2) and the beginning of the gradual decrease in the peak area of the NH4+ ν4 feature, demonstrating that the crystallization and desorption temperatures of this salt are very close to each other. Peak desorption is observed at 164 K in the TPD, and all of the salt features disappear from the IR spectrum by ~174 K. In the NH3:H2S 2:3 and 3:2 mixtures, the maximum NH4+ ν4 peak area (i.e., maximum reaction completion assuming the band strength does not change significantly with temperature) is achieved at lower temperatures, and the samples crystallize at higher temperatures (see Figure C.3).
3.1.3 NH4+ ν4 feature
The growth of the NH4+ ν4 feature during warm-up from 15 to 131 K is accompanied by a change in the feature’s profile, which becomes more asymmetric, and a redshift in the feature’s peak position. Such a redshift of this feature with increasing temperature has been observed in other laboratory ammonium salts (Grim et al. 1989a; Schutte & Khanna 2003; Raunier et al. 2003). These spectral changes during the warm-up are likely a consequence of the change in the chemical environment between 15 K (when the ice matrix is still dominated by a relatively high quantity of unreacted neutral NH3 and H2S) and 131 K (when very little NH3 and H2S remain in the ice matrix, resulting in a matrix that now contains nearly exclusively ionic species). Thermal effects may also play a role in the redshift of the feature during warm-up, but the fact that we also observe a redshift in the feature during the isothermal holds at 15 K, during which the concentration of NH4SH with respect to NH3 and H2S in the ice matrix is increasing (see Figure 2), demonstrates that increasing salt concentration in the ice matrix must play a role in the redshift as well. The redshift of this feature has significant astronomical ramifications that are further discussed in Section 4. The peak positions, FWHMs, and relative areas of this feature during warm-up are presented in Table C.2 and Figure C.3.
3.1.4 SH− stretching feature
It is difficult to similarly characterize the SH− stretching mode at ~2555 cm−1 throughout sample warm-up because the feature directly overlaps with the H2S asymmetric and symmetric stretching modes (Figure 1). At 15 K, when salt concentrations are the lowest in the sample, the feature sits at 2560 cm−1, its peak area is at its maximum, and it is blended with neighboring strong, broad features. As the sample is warmed and the acid-base reaction is facilitated, the combined H2S and SH− peak redshifts and decreases in area, demonstrating that the band strength of the SH− stretching mode is considerably lower than that of the H2S stretching modes. At this point in the warm-up, the contribution of unreacted H2S to this feature may not be negligible in the mixtures where H2S is in excess, so the feature is only characterized further in the NH3:H2S 3:2 mixture. During crystallization, the feature sharpens and blueshifts to 2570 cm−1, but its area remains small. The peak positions, FWHMs, and relative areas of the SH− feature at temperatures at and above 102 K (the temperature at which the reaction is complete) in the 3:2 mixture are reported in Table C.3.
![]() |
Fig. 3 Spectra of two H2O:NH3:H2S mixtures at 15 and 135 K. The plot insets zoom in on two features of interest in this work, the SH− stretching mode and the NH4+ asymmetric bending (ν4) mode. The dashed vertical lines within the right inset indicate the peak positions of the NH4+ ν4 mode at the two plotted temperatures, showing how the feature redshifts as the ice is heated. Vibrational mode assignments are provided for the H2O:NH3:H2S mixture at 135 K. |
3.2 H2O:NH3:H2S
Spectra of two selected H2O:NH3:H2S mixtures at 15 and 135 K are presented in Figure 3. Several of the features that are clear in the NH3:H2S mixtures are much less prominent once H2O is added to the mixtures, in particular the various NH4+ peaks between ~3.2–3.6 µm/3100–2800 cm−1, which present as broad shoulders on the red wing of the H2O OH stretching mode, the NH4+ scissor (symmetric) bending mode at ~5.9 µm/1690 cm−1, which blends with the H2O bending mode, and the weak feature we tentatively assign to the combination of the NH4+ symmetric bend and the SH− libration at ~4.8/2090 cm−1, which blends with the broad H2O combination mode. However, the NH4+ ν4 mode at 6.80 µm/1470 cm−1 and its combination band with the SH− libration at 5.3 µm/1880 cm−1 remain distinct from the water ice bands. The SH− stretching mode at 3.9 µm/2560 cm−1 is also clearly distinguishable from its local continuum but remains extremely small relative to the other salt features.
3.2.1 Reaction at 15 K
The presence of the NH4+ ν4 mode already at 15 K in all of the water-containing mixtures demonstrates that NH4SH can form at such low temperatures even when NH3 and H2S are diluted in water. Furthermore, just as in the water-free mixtures, acid-base reaction progression during an isothermal hold at 15 K after deposition has ended can be observed via the simultaneous increase in the peak area of the NH4+ ν4 mode and decrease in the peak area of the blended NH3 umbrella bending mode and H2S bending mode (Figure 4). This reaction progression is again accompanied by a redshift in the peak position of the NH4+ ν4 mode. However, the more dilute the initial concentrations of NH3 and H2S with respect to H2O, the lower the integrated absorbance of the NH4+ ν4 mode at 15 K with respect to the final integrated absorbance of the NH4+ ν4 mode at 135 K – that is, the reaction at 15 K is slowed, but not completely prevented, by the presence of water at the investigated concentrations. The ratio of the integrated absorbance of the NH4+ ν4 mode at 15 K versus 135 K is plotted as a function of final NH4+ abundance with respect to H2 O for all the investigated mixtures in Figure 5 to demonstrate this point.
![]() |
Fig. 4 Characterization of selected features in the H2O:NH3:H2S 4:3:2 spectra in the period between the end of the ice deposition and the start of the ice warm-up. During this time, the sample was held at 15 K. Top: peak area of the NH4+ ν4 feature. Middle: peak area of the blended NH3 umbrella bending and H2S bending features. Bottom: peak position of the NH4+ ν4 feature. |
3.2.2 Reaction during warm-up, crystallization, and desorption
During warm-up of the water-rich mixtures, the NH4+ ν4 mode grows until reaching a maximum between 135–140 K while the area of the blended NH3 umbrella bending mode and H2S bending mode decreases, similar to what is observed in the water-free mixtures. The sharpening of the NH4SH features characteristic of crystallization does not occur until ~ 150–155 K, so dilution with H2O delays the salt crystallization just as the presence of excess unreacted NH3 and H2S do in the water-free mixtures. As the warm-up continues after crystallization, the salt features begin to rapidly diminish and are completely absent from the spectrum between ~ 175–180 K, around the same temperature range in which H2 O desorbs. The TPD peaks of NH3, H2S, and H2O occur around the same temperatures, ~ 171–172 K (e.g., Figure D.5). Such an increase (~10 K) in the peak desorption temperature of NH4SH when it is mixed with water rather than pure was also recently observed by Vitorino et al. (2024). The consequences of the similar desorption temperatures of NH4SH and H2O on the detection of the NH4SH desorption products in the gas phase are discussed in Section 5.2.
![]() |
Fig. 5 The ratio of the integrated absorbance of the NH4+ ν4 peak at 15 K versus 135 K plotted as a function of the concentration of NH4+ with respect to H2O (assuming 100% reaction completion) for various H2O:NH3:H2S mixtures. |
![]() |
Fig. 6 The ratio of the peak position of the NH4+ ν4 mode at 135 K as a function of the concentration of NH4+ with respect to H2O plotted for various H2O:NH3H2S mixtures. |
3.2.3 NH4+ ν4 feature
As in the water-free spectra, the NH4+ ν4 mode redshifts during warm-up. However, the feature also redshifts with increasing salt concentration with respect to H2O when comparing the spectra of ices at the same temperature. Figure 6 visualizes this trend at 135 K. Comparison of the NH4+ ν4 mode peak position at 135 K between the H2O:NH3:H2S 5:2:1, 10:3:2, 5:1:1, and 10:2:3 mixtures (where the salt concentrations with respect to H2O are identical at 20%, assuming reaction completion in all of the mixtures) also reveals that increasing the excess ofunreacted NH3 in the matrix causes the NH4+ ν4 mode to blueshift, while increasing the excess of unreacted H2S in the matrix causes it to redshift.
This led us to postulate that the redshifts of this feature observed during the isothermal holds at 15 K and the warm-up are caused primarily by the increase in salt concentration with respect to the hydrogen-bonded matrix. During warm-up, the salt concentrations increase at a higher rate due to the acid and base molecules mobilizing with increasing temperature, which allows them to diffuse more easily within the ice matrix and react with each other.
In an effort to characterize the potential degeneracy between redshifts caused by increasing temperature and concentration, we conducted an annealing experiment where we deposited a H2O:NH3:H2S 10:3:2 mixture, warmed it to 135 Kat 1 K min−1, and recooled it to 15 K at -5 K min−1. Upon recooling (during which the salt concentration in the ice is not expected to change), the NH4+ ν4 mode blueshifted from 1472 cm−1 to 1475.5 cm−1 (Figure D.9). This peak shift of 3.5 cm−1 is significantly smaller than the redshift of over 11 cm−1 (1483 to 1472 cm−1) that occurred over the initial warm-up from 15 to 135 K during which the majority of the salt formed. This suggests that thermal changes are not the main driver of most of the feature’s redshift observed during warm-up, leaving changes in the chemical environment (e.g., salt concentration) as well as irreversible thermally driven changes in the ice morphology (e.g., ice compaction) as the remaining possible contributors to the majority of the observed redshift during warm-up.
We therefore conclude that, although some of the redshifts in the NH4+ ν4 mode associated with warm-up in our experiments as well as in some previous works may be caused by thermal effects, one of the primary physical causes of the redshift is the increase in salt concentration with respect to hydrogen-bonded matrix species as the deposited ice is warmed. We specify that the concentration increase is with respect to hydrogen-bonded matrix species because we do not observe the same trend when the salt is diluted with excess H2S (Figure 6). Our conclusion is consistent with that drawn by Maté et al. (2009), who stated that the redshift in the NH4+ ν4 mode observed by Schutte & Khanna (2003) upon ice warm-up was likely due to “varying interactions among all the different species in the matrix.” Also, the NH4+ ν4 mode does not appear to vary significantly between 14 and 150 K in the NH4HCOO:H2O spectra formed via hyper-quenching in Galvez et al. (2010), in which the salt concentration does not change during heating. The astronomical ramifications of this concentration dependence of the NH4+ ν4 mode peak position are further discussed in Section 4.1. The peak positions, FWHMs, and relative areas of this feature during warm-up in all of the investigated mixtures are reported in Appendix D.
3.2.4 SH− stretching feature
As in the pure NH4SH spectra, the blended H2S and SH− stretching peak becomes smaller as the ice is heated and the NH4+ ν4 mode grows. The peak positions and FWHMs of the feature at 135 K range from 2567–2559 cm− and 25–32 cm−, respectively, in the mixtures investigated here, with the highest salt concentration mixtures having the most redshifted and broadest features (see Appendix D).
3.2.5 Band strengths
The Beer’s law plots used to calculate the apparent band strengths of the NH4+ ν4 mode and the SH− stretching mode in the 10:3:2 H2O:NH3:H2S mixture are shown in Figures 7 and 8 (the 10:2:1 and 8:5:4 mixture plots can be found in Appendix D). The derived values from the slopes of the linear fits in all of these plots are provided in Table 4.
Despite previous theoretical and experimental works raising concerns regarding the NH4+ ν4 mode band strength decreasing significantly with dilution in H2O (Maté et al. 2009; Galvez et al. 2010), we do not find statistically significant differences between the NH4+ apparent band strengths of NH4SH:H2O mixtures with different salt concentrations ranging from 10–50% with respect to H2O. Our apparent band strengths are very close to the apparent band strength of the NH4+ ν4 mode in pure NH4CN derived recently by Gerakines et al. (2024), 3.58(±0.07)×10−17 cm molec−1. They are also a factor of ~ 1.22–1.38 lower than the band strength of the NH4+ ν4 mode in NH4HCOO:H2O ice from Schutte & Khanna (2003), 4.4×10−17 cm molec−1, which is often utilized to quantify NH4+ ice column densities in observational works. The band strength of the SH− stretching mode is almost two orders of magnitude lower than the band strength of the H2S stretching mode at the same wavelength (Yarnall & Hudson 2022).
As was mentioned previously, these band strengths assume that the limiting reactant, H2S, was fully consumed in the reaction by 135 K. The quantity of H2S consumed in the experiments used to calculate these band strengths cannot be estimated from the IR spectra because its strongest band, the stretching mode, overlaps closely with the strongest band of the reaction product SH−. For this reason, we estimate instead the quantity of limiting reactant consumed by 135 K in the H2O:NH3:H2S 10:2:3 mixture, where an estimate of the final abundance of the limiting reactant, NH3, can be obtained via its umbrella mode. At 135 K, the peak area of the NH3 umbrella mode is ~4% relative to its peak area at the beginning of the warm-up (at which point we estimate ~14% of the deposited NH3 has already reacted based on Figure 5). Assuming negligible desorption of unreacted NH3 by 135 K due to entrapment based on QMS data, we estimate that ~96% of the deposited NH3 has reacted with H2S by 135 K in this experiment. Given that, in the NH3:H2S mixtures, the acid-base reaction appears to proceed more readily in NH3 excess than in H2S excess (Figure C.3), we extrapolate that in our H2O-containing mixtures where H2S is the limiting reactant, an equivalent or higher percentage of H2S will have been consumed in the acid-base reaction by 135 K.
Apparent band strengths of the NH4+ ν4 mode and the SH−stretching mode in H2O:NH3H2S mixtures of three different concentrations.
![]() |
Fig. 7 Beer’s law plot used to derive the apparent band strength of the NH4+ ν4 feature formed in the H2O:NH3:H2S 10:3:2 mixture. |
![]() |
Fig. 8 Beer’s law plot used to derive the apparent band strength of the SH− stretching feature formed in the H2O:NH3:H2S 10:3:2 mixture. |
4 Comparing NH4SH:H2O laboratory spectra to observations
The assignment of the 6.85 µm band observed toward icy sight-lines to the NH4+ cation was first suggested over 40 years ago (Knacke et al. 1982). Since then, despite rigorous investigations in numerous observational, experimental, and theoretical works, the assignment remains tentative. As mentioned in Section 1, previous works provided three primary arguments against a secure assignment: 1) the NH4+ ν4 mode is too broad in laboratory data of ammonium salts in water-rich matrices to match observations and, at the expected NH4+ concentrations, the band strength of the feature is likely so low that it may render the salt undetectable (Maté et al. 2009; Galvez et al. 2010); 2) the calculated column densities of anions identified in interstellar ices are insufficient (by about an order of magnitude) to fully counterbalance the expected positive charge from the NH4+ cation (Schutte et al. 1999; van Broekhuizen et al. 2004, 2005; Boogert et al. 2022; McClure et al. 2023; Rocha et al. 2024); and 3) no other features that can be unambiguously assigned to NH4+ have been detected (Boogert et al. 2015). In the subsequent analysis, we will address each of these points using the new laboratory data collected in this work.
4.1 NH4+ ν4 mode
Our apparent band strength measurements of the NH4+ ν4 mode in NH4SH diluted in H2O ice at concentrations between 10 and 50% with respect to H2O range from 3.2(±0.3)-3.6(±0.4)× 10−17 cm molec−1. Such band strengths are comparable in order of magnitude to the band strength of the NH3 umbrella bending mode at 9.35 µm (Kerkhof et al. 1999; Hudson et al. 2022), which is typically detected at concentrations on the order of ~5% with respect to H2O toward pre- and protostellar ices (Bottinelli et al. 2010; Boogert et al. 2015; McClure et al. 2023).
Previous laboratory experiments where ammonium salts were grown via the hyperquenching method (i.e., droplets of salts dissolved in liquid water at the desired concentration are directly dripped onto a cold IR substrate) at concentrations between 7–25% with respect to H2O did not formally report band strengths of the NH4+ ν4 mode, but it was noted that the feature was so weakened and broadened by the presence of water that it became implausible to securely detect assuming similar local salt concentrations with respect to H2O in interstellar ices (Maté et al. 2009; Galvez et al. 2010). Galvez et al. (2010) pointed out that such dramatic weakening did not occur in salt:H2O ice mixtures formed via vapor co-deposition, the same method used in this work, and ascribed the difference in band strengths to the fact that, in hyperquenched ice samples, the ions are expected to be densely surrounded by “solvation spheres” of H2O molecules, which disturbs their ionic character and decreases their band strengths. They further argued that the water-rich ices forming in the interstellar medium via atom-addition reactions on grain surfaces are expected to be compact, mimicking more closely the morphology of their hyperquenched samples rather than the open, porous structures of water ices formed via vapor deposition in the lab.
We argue that this may not necessarily be the case, because if the salts in interstellar ice mantles form via in situ acid-base reactions, the acid and base molecules must be adjacent to each other in the ice matrix, which will result in the cations and anions formed via the reaction to be adjacent to each other as well, rather than separated and fully surrounded by solvation spheres of water. Such cation-anion pairs within the ice matrix are expected to have higher ionic character and, therefore, higher band strengths.
In Figure 9, we fit the 6.85 µm feature in our selected observed spectra toward dense clouds and protostars with the NH4+ ν4 mode in our NH4SH:H2O laboratory spectra at 135 K and use these fits to derive NH4+ cation column densities and abundances with respect to H2O ice (Table 5). We use only the laboratory spectra at 135 K because this is the temperature at which the salt concentrations are expected to be the closest to the target salt concentrations, and our annealing experiment shows that recooling the salt mixture from 135 K to 15 K has little effect on the NH4+ ν4 mode profile and position compared to the changes in the feature due to increasing NH4SH concentration that occur during the initial warm-up. As CH3OH ice has a weak absorption complex of O-H and C-H bending modes at 6.85 µm as well, we account for the approximate expected contribution of CH3OH ice to our fits by scaling a laboratory spectrum of pure CH3OH ice at 15 K using literature CH3OH ice column densities calculated from the 3.53 or 9.74 µm features (Boogert et al. 2008, 2011; Chen et al. 2024; Slavicinska et al., in prep.).
The observed 6.85 µm features toward these sources are fit very well by the NH4SH:H2O laboratory data. Specifically, the investigated dense clouds and LYSOs are best fit with laboratory spectra of more dilute NH4SH ices (NH4SH/H2O ~ 20–33%) compared to the MYSOs, which require laboratory spectra of more concentrated NH4SH ices (NH4SH/H2O ~ 50–100%) to fit their more redshifted features. This is consistent with previously reported trends of MYSOs, particularly thermally processed ones, generally having more redshifted 6.85 µm features than LYSOs (Keane et al. 2001; Boogert et al. 2008). Given these salt concentrations of the best-fitting laboratory spectra, we used the apparent band strength calculated from the lower concentration NH4SH:H2O mixtures (3.6×10−17 cm molec−1) to calculate NH4+ column densities in the cloud and LYSO sources, while using the apparent band strength calculated from the higher concentration NH4SH:H2O mixtures (3.2× 10−17 cm molec−1) to calculate NH4+ column densities in the MYSO sources. Figure 10 shows the 6.85 µm feature of one of the sources, L1527, overplotted with the NH4+ ν4 feature in five selected laboratory spectra with NH4SH/H2O concentrations ranging from 10–100% to help the reader visualize how NH4SH concentration with respect to H2O (and excess NH3) affects the fitting of this feature.
The resulting calculated NH4+ ice column densities presented in Table 5 range between 8–23% with respect to H2O, within the previously reported ranges of NH4+ ice abundances with respect to H2O toward dense clouds and protostars (Boogert et al. 2011, 2015). Considering the typical NH3 ice abundances in such objects (3–10% with respect to H2O, Boogert et al. 2015) results in combined NH3+NH4+ abundances on the order of 10−6–10−5 with respect to H2 (see Section 5.1 for H column densities). Such values are in line with the typical gas-phase NH3 abundances with respect to H2 derived from small-beam radio/cm measurements targeting highly excited rotational lines in the most inner regions of hot cores, where temperatures are high enough that most NH3 and NH4+ are expected to have desorbed into the gas phase (Pauls et al. 1983; Wilson et al. 1983; Mauersberger et al. 1986; Henkel et al. 1987; Brown et al. 1988; Walmsley 1994). However, the uncertainties of these gas NH3 abundances are very high (up to an order of magnitude, due primarily to the poorly constrained warm H2 column densities in their denominators), so the total abundance of NH3 in dense star-forming regions remains an open question.
Our reported bulk NH4+ abundances with respect to H2O are also approximately a factor of 2 lower than the NH4+ abundances of the laboratory ices whose spectra best fit the observed 6.85 µm features (≥20%). One explanation for such a discrepancy could be an addition to the current layered ice model described in Boogert et al. (2015) and references therein. This model explains why, despite H2O being the most abundantly detected icy species, the peak profiles of molecules like CO, CH3OH, and OCS indicate that a significant fraction of these ices are in water-poor chemical environments: there is a difference in the timescale/cloud density at which H2O formation and CO freeze-out occur, leading to distinct ice layers rather than a homogeneous ice mixture. Although H2S is expected to form on ice grains at timescales closer to H2O formation than CO freeze-out, models predict that H2S formation should be slightly delayed (by ~1.4 Aν) relative to H2O formation due to S atoms’ lower abundance and heavier mass with respect to O atoms (Goicoechea et al. 2021). Such a delay could result in a gradient within the polar ice layer where the outer layer of polar ice that formed at later times in the dense cloud has a higher NH4SH salt concentration than the inner layer of polar ice formed at earlier times. In such a scenario, high local salt concentrations in the salt-rich layer could still be consistent with overall lower bulk salt concentrations.
However, it is also possible that the discrepancies in NH4+ peak positions and calculated concentrations are caused by the presence of other species in the ice matrix (e.g., CO2), overlap with other ice features in this region, or differences in temperature between the laboratory ices and the observed ices. Furthermore, the NH4+ abundances reported here are calculated only using laboratory data of NH4SH, and although contributions from other ammonium salts like NH4OCN, NH4CN, NH4HCOO, and NH4Cl cannot dominate the 6.85 µm feature given their low abundances and upper limits with respect to the total NH4+ column densities (see Section 4.5), they could still cause some redshift of the 6.85 µm feature if their NH4+ ν4 peak positions are redder than that of NH4SH. A systematic characterization and comparison of multiple ammonium salts with carefully controlled concentrations in astrophysically relevant ice mixtures is needed to constrain and differentiate potential contributions from other ammonium salts to this feature.
![]() |
Fig. 9 Fits of laboratory IR spectra of NH4SH:H2O ice mixtures at 135 K (sea green solid trace) and pure CH3OH ice at 15 K (dash-dotted red or pink trace) to the 6.85 µm feature observed toward four protostars and two dense clouds (see Table 3). The total combined fits of both NH4SH and CH3OH are indicated with the dashed light blue trace. The best fitting mixture used in each fit is listed inside each panel. Note that many of the sharp spikes present in the JWST LYSO spectra are gas-phase lines in absorption (e.g., B1-c) or emission (e.g., L1527) rather than noise. Local continua used to extract the feature from the observational spectra can be found in Figure E.2. |
![]() |
Fig. 10 Selected laboratory spectra of H2O:NH3:H2S ice mixtures of various concentration plotted with the 6.85 µm feature observed toward L1527 with JWST. |
H2O and NH4+ ice column densities calculated toward the investigated sources using laboratory IR spectra and apparent band strengths of NH4SH in H2O-rich ices.
4.2 Redshift of the 6.85 µm feature
In the past, observational studies empirically decomposed the observed 6.85 µm feature into two components, a blue component centered at ~6.75 µm and a red component centered at ~6.95 µm (referred to respectively as “component 1” and “component 2” in Keane et al. 2001 and “C3” and “C4” in Boogert et al. 2008, 2011, 2015). A combination of both components was needed to fit the 6.85 µm feature toward most observed icy lines of sight, but sight-lines with unprocessed ices typically had low τintC4/τintC3 ratios (i.e., a very blueshifted 6.85 µm feature, Boogert et al. 2011) while high τintC4/τintC3 ratios (i.e., a very redshifted 6.85 µm feature) were associated with thermally processed sources with low H2O column densities (with respect to the depth of the 9.7 µm silicate band, Boogert et al. 2008). The association of redshift in the 6.85 µm feature with thermal processing was also supported by the previously available laboratory data of NH4+ salts in astrophysically relevant ice mixtures, in which only ices at very high temperatures (>200 K, Schutte & Khanna 2003) could reproduce the redshifted peak position of the C4 component.
Our experiments show clearly that the NH4+ ν4 mode redshifts with increasing salt concentration with respect to hydrogen-bonding matrix species. Moreover, the redshift observed when salt concentration with respect to H2O increases from 10 to 50% is approximately a factor of 3 larger (on the wavenumber scale) than the redshift observed when the ice temperature increases from 15 to 135 K in an annealed ice, where the salt concentration does not change upon warm-up (Figure D.9).
Toward dense clouds without star formation, thermal processing cannot explain any variation in the peak position of the 6.85 µm feature. Thus, the small variations in the 6.85 µm feature peak position toward different prestellar sight-lines should be due purely to differences in the ice chemical composition. Indeed, we find that the published τintC4/τintC3 ratios of ices in the isolated dense clouds from Boogert et al. (2011) correlate very strongly with the reported NH4+ abundances with respect to H2O (Figure 11, left plot). The Spearman’s rank correlation coefficient, which expresses the probability of two variables being related by a monotonically increasing function on a scale of 0 to 1, is very high at ρ=0.825. Such a correlation is consistent with the trend noted in our laboratory data. However, it is important to once again keep in mind that the redshift of the NH4+ ν4 feature with increasing concentration could also be degenerate with other chemical effects that are not investigated here (e.g., presence of CO2 in the ice matrix, ionic bonds with other anions, etc.).
Toward protostars, the correlation between the NH4+ abundances and the peak position is more moderate with a Spearman’s rank of ρ=0.485 (Figure 11, right plot). The redshift of the 6.85 µm band observed toward thermally processed protostellar sources could be due in part to the formation of more NH4+ ions from leftover unreacted neutrals driven by diffusion at warm temperatures, but it is also possible that increases in local concentrations of NH4+ ions caused by thermally driven ice restructuring, such as that which occurs during the heating of CO2:H2O ice mixtures (Ehrenfreund et al. 1997; Boogert et al. 2000), also contribute to the observed redshifts. Such structural changes would not change the overall line-of-sight averaged NH4+ abundance with respect to H2O and would therefore result in a lesser correlation between the two variables.
Finally, comparisons of our laboratory spectra to unique, highly redshifted sources with extreme conditions reveal a third possible driver of the 6.85 µm feature’s redshift in thermally processed sources. While our set of NH4SH data is able to fit well the majority of the 6.85 µm features observed toward icy lines of sight, which have τintC4/τintC3 ratios below 3, a few exceptional sources exist whose 6.85 µm bands are too redshifted to be covered by even our most concentrated NH4SH:H2O ~1:1 ice mixture (Figure 12). These sources are the LYSO IC 1396α (Reach et al. 2008), the LYSO IRAS 03301+3111 (Boogert et al. 2008), and the MYSO Mon R2 IRS3 (Keane et al. 2001). The 6.85 µm bands of these features can be fit almost exclusively with the empirical C4 component.
IRAS 03301+3111 and Mon R2 IRS3 are unusual in that they have exceptionally low H2O ice abundances with respect to H (a factor of 3–7 lower than typical protostellar sources like B1-c, L1527, and W33A, Boogert et al. 2013), indicating that the thermal processing of their ice envelopes has been extensive enough to sublimate a significant fraction of their water ice. IC 1395α also has a low water ice column and additionally exists in a harsh, highly clustered and irradiated environment (Reach et al. 2008).
We find in our experiments that NH4SH salts have similar desorption temperatures as H2O, so if these sources’ envelopes have lost a significant fraction of their water ice to thermal desorption, we would expect them to have lost a significant fraction of their NH4SH salts, if present, as well. This would imply that NH4SH cannot be the sole carrier of the empirically derived C4 component (although it may still contribute to the component because some water ice remains in these lines of sight). A significant part of the C4 component must therefore spectrally consist of either a more refractory ammonium salt with a more redshifted 6.85 µm feature or an entirely different species.
The next most abundant ammonium salt after NH4SH detected in the dust grains of comet 67P, NH4CN, has laboratory desorption temperatures similar to NH4SH (Gerakines et al. 2024), so it is not a suitable C4 candidate. The third-, fourth-, and fifth-most abundant ammonium salts, NH4Cl, NH4OCN, and NH4HCOO, are significantly more refractory with laboratory desorption temperatures above at least 200 K (Maté et al. 2009; Jiménez-Escobar et al. 2014; Ligterink et al. 2018; Bergner et al. 2016; Kruczkiewicz et al. 2021). Perhaps one or a combination of these salts (or other refractory ammonium salts) are major contributors to the C4 component. The highly redshifted reported peak positions of NH4Cl:H2O ice formed via hyperquenching in Galvez et al. (2010) and ammonium salts formed by photolysis experiments in Schutte & Khanna (2003) point to a promising future direction for elucidating the carriers of these highly redshifted features.
![]() |
Fig. 11 Abundances of the ammonium cation with respect to H2O ice plotted against the τintC4/τintC3 ratios of ices toward isolated dense clouds (left, blue) and protostars (right, red). To facilitate comparison, the protostellar and cloud values are also plotted in the left and right plots, respectively, in light gray. A higher τintC4/τintC3 is indicative of a greater redshift in the peak position of the 6.85 µm feature. The plotted values are taken from Boogert et al. (2011) (clouds) and Boogert et al. (2008) (protostars). The Spearman’s rank correlation coefficient ρ and the p-value indicating probability of noncorrelation are provided in the top right corner. The plotted NH4+ abundances have been multiplied by a correction factor of 4.4/3.6 to account for the difference between NH4+ ν4 mode band strength used by Boogert et al. (2008) and Boogert et al. (2011) (4.4× 10−17 cm molec−1 from Schutte & Khanna 2003) and the band strengths calculated in this work to enable a direct comparison to our NH4+ ice upper limits in Table 5. Upper limits have been excluded from this plot, as well as data from the sources 2MASS J19214480+1121203 (due to the high error of its τintC4/τintC3 ratio) and IRAS 03301+3111 (due to its τintC4/τintC3 ratio being undefined because its τintC3 = 0). |
4.3 SH− stretching mode
Following the fits of the NH4+ ν4 mode to the 6.85 µm band, we aimed to investigate if the optical depths of the fit NH4+ features were consistent with SH− column densities or upper limits that could be calculated using the SH− stretching mode at 3.9 µm. We performed local continuum subtractions on the 3.7– 4.2 µm region toward the sources in our sample whose spectra in this range are available to us (Figure E.3) and compared the subtracted spectra to the local continuum-subtracted SH− feature in the laboratory spectra, scaled with the same factor as was used to fit the NH4+ feature in each source in Figure 9. Similarly to the 6.85 µm band fits, the expected contribution of CH3OH ice to this spectral region was approximated by scaling a laboratory spectrum of CH3OH ice at 15 K using literature CH3OH ice column densities calculated from the 3.53 or 9.74 µm features (Boogert et al. 2008, 2011; Chen et al. 2024; Slavicinska et al., in prep.).
The excess absorptions left over toward each source after accounting for the CH3OH and SH− ice features were fit with Gaussians, whose peak positions and FWHMs range from 2716– 2728 cm−1 and 20–40 cm−1, respectively. Such profiles hint at the possible presence of thiol ices like methanethiol and ethanethiol toward these lines of sight, but secure assignment to a specific species is precluded by the broad, overlapping profiles of such molecules (Hudson & Gerakines 2018). Furthermore, the fitting of a single Gaussian to this excess is merely a first-order approximation to what could be a complex of multiple Gaussian-like absorptions attributable to several different species containing S-H bonds. The upper limits obtained from assigning these Gaussians to either H2S or thiols are on the order of ≲1% and ≲5% with respect to H2O, respectively (using the band strengths of 1.66×10−17 cm molec−1 for H2S, Yarnall & Hudson 2022, and 3.40×10−18 cm molec−1 for 1-propanethiol, Hudson & Gerakines 2018). The underfit red shoulder of the absorption complex >4 µm may be the blue wing of an HDO ice absorption (Slavicinska et al. 2024).
The resulting fits are presented in Figure 13, where the green solid trace indicates the maximum possible SH− contribution (assuming [NH4+] = [SH−]). Given the blending of multiple overlapping ice features in this spectral region as well as the extremely weak band strength of the SH− stretching mode, we cannot claim tentative or secure detection of the SH− anion in this spectral region toward these sources, and it is unlikely that this feature could serve as a reliable tracer of NH4SH ice in other interstellar ice spectra. However, these fits by no means preclude the presence of SH− column densities comparable to the NH4+ column densities calculated from the 6.85 µm features of these sources. In fact, these fits show that sizable column densities of SH− anions can be masked very effectively by the absorptions of CH3OH ice, H2S or thiol ices, and observational noise at the wavelengths where the SH− stretching mode is found.
![]() |
Fig. 12 The highly redshifted 6.85 µm band of three unusual proto- stellar sources (red solid traces) which are not sufficiently fit with any of our laboratory NH4SH:H2O mixtures. The laboratory spectrum with the greatest redshift out of our full lab sample, the H2O:NH3:H2S 1:1:1 ice heated to 135 K, is overplotted in dotted sea green traces for comparison. |
4.4 NH4+ ν4 and SH− libration combination mode
Boogert et al. (2022) first reported the presence of a weak, broad absorption centered at approximately 5.25 µm in the IRTF spectra of W33A and a “number” of other MYSOs. This feature has not been assigned to any species and, prior to JWST, was not reported toward any dense clouds or LYSOs, likely due to the limited spectral coverage of the full width of this band by both ground-based NIR data and Spitzer Space Telescope MIR data. Here, we report the presence of a similar feature centered around ~5.3 µm/1890 cm−1 with a FWHM of ~0.26 µm/92 cm−1 toward both of the LYSOs observed with JWST in our sample of sources and tentatively assign it to the combination mode of the NH4+ ν4 mode and the SH− libration. The tentative assignment has two-fold significance: it reinforces the presence of NH4+ in interstellar ices, and it is a tentative detection of a SH− signature in a spectral region that is less busy than the 3.9 µm region where the SH− stretching mode is found. The only other major ice bands present in this region are the OCS feature at 4.9 µm and the 6.0 µm band, whose wings overlap slightly with the blue and red edges, respectively, of the very broad 5.3 µm band.
In Figure 14, the observed feature is fit with the same NH4SH laboratory spectra and scaling factors as those used to fit the 6.85 µm band to each source in Figure 9. The profile of the features in the laboratory spectra match the profile of the observed features quite well, and the observed depths are similar to the depths of the laboratory features when they are scaled with the same factor that is used to fit the 6.85 µm band. However, it must be stressed that, due to the weak and broad profile of the feature as well as its overlap with the blue wing of the large 6.0 µm ice feature, it is difficult to accurately extract its profile and depth from the source continuum, and even slight inflections in the continuum choice can significantly affect its calculated depth. Therefore, we do not consider this feature to be a reliable means of quantifying the SH− anion column density. Nevertheless, we conclude that the observed depth of this feature is not inconsistent with the observed depth of the NH4+ band, and its presence shows that SH− is an excellent candidate anion to counterbalance the majority of the NH4+ cations quantified via the 6.85 µm band.
4.5 Other anions (OCN−, CN−, HCOO−, Cl−)
After the SH− fitting attempt at 3.9 µm, we estimated abundances and upper limits of four other NH4+ counterion candidates identified in prior studies of interstellar ices and 67P dust grains to constrain how much NH4+ with unbalanced positive charge remains after accounting for these counterions, leaving room for other anions like SH−.
Table 6 presents the estimated abundances of OCN− and the upper limits of CN−, HCOO−, and Cl− in percentages with respect to the NH4+ column densities (Table 5) toward three of the four selected protostellar sources. The spectrum of S 140 IRS1 was not included in this analysis due to its relatively low S/N that prevented the detection of any known anionic features.
The OCN−, CN−, and HCOO− values were calculated via fitting their IR features at ~4.62 µm/2165 cm−1, ~4.78 µm/ 2093 cm−1, and ~7.39 µm/1352 cm−1 with Gaussians (Figure E.5). The calculated column densities of CN− and HCOO− are only considered upper limits due to the possible contribution of other ice species to their observed bands (e.g., 13CO for CN− (McClure et al. 2023; Brunken et al. 2024); CH3CHO for HCOO− , Rocha et al. 2024; Chen et al. 2024). Because the column density of Cl− cannot be similarly constrained from IR spectra, its upper limit was constrained using the cosmic standard abundance of chlorine (i.e., assuming all Cl atoms are in the form of NH4Cl toward these objects using Cl/H = 2.88× 10−7 from Esteban et al. 2004).
The alternative anion candidates can only counterbalance up to ~ 15–20% of the ammonium cations toward these lines of sight. This upper limit is similar to the total combined abundance of the neutral acid counterparts of these anions with respect to NH3 quantified from the 67P dust grain impact event #4 in Altwegg et al. (2022).
Therefore, a minimum of ~80–85% of the ammonium cations observed toward these lines of sight must be counterbalanced by other anions. It has been previously suggested that this counterbalance could come from a “variety” of multiple other anions, perhaps formed by energetic processing, whose weak and blended spectral signatures could create an undetectable “pseudo-continuum” (Schutte & Khanna 2003). Here, we show that SH− column densities as high as the total measured NH4+ column densities can be effectively hidden in the 3.9 µm spectral region via blending with CH3OH, H2S, and thiol features (Section 4.3). Furthermore, SH− can form purely via low-temperature acid-base chemistry without needing to invoke energetic processing (Section 3.2).
![]() |
Fig. 13 Fits of the SH− stretching mode from laboratory NH4SH:H2O spectra (dark green solid trace) and the combination modes from laboratory CH3OH spectra (dash-dotted red or pink trace) to the absorption complex between 3.8–4.2 µm observed toward four protostars. The fit SH− features are isolated from the laboratory spectra via a local continuum subtraction and scaled with the same factors as those used to fit the 6.85 µm bands in Figure 9. The CH3OH features are similarly scaled using literature CH3 OH ice column densities or upper limits calculated from the 3.53 or 9.74 µm features. As the SH− stretching mode and CH3OH combination modes are some of the weakest spectral features of the investigated ices, both the NH4SH and CH3OH laboratory spectra are smoothed with a Savgol filter prior to fitting to remove experimental noise. Excess absorptions that is not fit with SH− and CH3OH features are fit with Gaussians (dotted orange trace) that could be attributed to a combination of H2S and thiol ices. The full fit is indicated with a dashed light green trace, and the horizontal shaded red bars indicate 3σ levels calculated from RMS errors in the 3.72–3.77 µm range. Data from 4.03–4.18 µm (G395H gap in JWST data, low S/N region in ISO data) is excluded from the plot. Plots of the local continua applied to the observed spectra can be found in Appendix E.1. |
Estimated abundances and upper limits of four other counterion candidates, reported in percentages (%) with respect to NH4+ column densities.
![]() |
Fig. 14 Laboratory NH4SH:H2O data scaled with the same factor as that used to fit the 6.85 µm band in Figure 9 plotted with the global continuum-subtracted spectra of four protostars, zoomed in on the 4.8–5.6 µm region where a weak and broad absorption is observed. The profile of the observed absorption matches well the NH4+ ν4 + SH− libration combination mode in the laboratory spectra. Plots of the global continua applied to the observed spectra can be found in Appendix E.1. |
5 Astronomical implications
5.1 Sulfur budgets
Estimates of the total sulfur budgets that could be accounted for by solid NH4SH toward all of the investigated sources are provided in Table 7. The ranges in this table are calculated with the assumption that 80–85% of the NH4+ cations quantified via the 6.85 µm band (see Table 5) are bound to SH− anions (as the relative abundance of H2S with respect to the combined abundances of all acids in the comet 67P dust grain impact event #4 was ~82% in Altwegg et al. 2022, and the total NH4+ column density left without corresponding counterions after accounting for OCN−, CN−, HCOO−, and Cl− abundances and upper limits is ≳80–85%). The hydrogen column densities (NH) used to determine S/H were taken from Boogert et al. (2013) except in the case of L1527, whose NH was similarly calculated from the optical depth of the 9.7 µm silicate feature in the L1527 MIRI spectrum (see Appendix E.2).
Our observationally constrained estimates indicate that 10– 18% of the sulfur expected toward the investigated lines of sight could be in the form of NH4SH ice. The estimated sulfur abundance in NH4SH is lowest toward S140 IRS1, the source whose ices have experienced the most thermal processing and which also has a very low H2O ice abundance with respect to H (Boogert et al. 2013). Therefore, its envelope may have already lost a significant portion of its ices, including NH4SH, to thermal desorption. In the case of the rest of the protostars in our sample, almost a fifth of the expected sulfur column may be locked in NH4SH salt, much more than the previously constrained ≲5% S locked in ices calculated from OCS column densities and H2S, thiol, and SO2 upper limits (Palumbo et al. 1997; Boogert et al. 1997; Jiménez-Escobar & Caro 2011; Boogert et al. 2015, 2022; McClure et al. 2023; Rocha et al. 2024).
These estimates demonstrate that NH4SH is a potentially significant sulfur sink in pre- and protostellar environments. They also show that NH4SH alone cannot solve the sulfur problem, leaving the field open to other potential sulfur sinks whose abundances in dense star-forming regions are still not spectroscopically well-constrained (e.g., sulfur allotropes and minerals). Notably, the ~82–83% of the sulfur that remains missing after accounting for the plausible abundance of NH4SH is close to the proposed S/H abundance of highly refractory sulfurbearing species (e.g., FeS) in protoplanetary disks quantified indirectly via the accretion-contaminated photospheres of young stars (89±8%, Kama et al. 2019).
Estimated contribution of NH4SH salt to the total S budgets of each of the investigated sources, assuming 80–85% of the NH4+ cations quantified via the 6.85 µm band are bound to SH− anions.
5.2 NH4SH ice desorption front
In protostellar envelopes and protoplanetary disks, molecules in ices warm up via heating by the growing central source and, at high enough temperatures, thermally desorb into the gas phase, where they can be detected via their rotational transitions by millimeter and submillimeter spectroscopy. The temperature at which desorption of a given ice molecule occurs is dictated by its binding energy to its surrounding molecules (i.e., other ices or grain materials like silicates). A molecule’s thermal desorption can also occur at lower or higher temperatures if it is deeply trapped in a matrix of molecules that desorb at lower or higher temperatures.
Although we do not derive binding energies of NH4SH in this work, the TPD experiments here indicate that NH4SH desorbs at nearly the same temperature as H2O, both when it is pure and when it is in H2O-rich mixtures. As ionic salts desorb as their neutral counterparts, this means that any gas-phase NH3 or H2S that has thermally desorbed from NH4SH ices should have a sublimation front very similar to H2O. While pure neutral NH3 and H2S ices desorb at much lower temperatures (~110 K and ~90 K, respectively, in our experiments), neutral NH3 and H2S in interstellar ices may have sublimation fronts at temperatures closer to the sublimation front of H2O (~170 K in our experiments) due to entrapment by a surrounding H2O ice matrix. Whether the sublimation fronts of neutral NH3 and H2S mixed in H2O ices would be different enough to distinguish them from NH3 and H2S originating from thermally desorbed NH4SH salts must be determined with studies measuring the entrapment of NH3 and H2S in H2O ices.
6 Conclusions
In this work, we present a systematic characterization of the laboratory IR spectra of NH4SH ices, both pure and mixed with H2O.
From this characterization and a subsequent comparison of the laboratory spectra to spectra observed toward dense clouds and protostellar ice envelopes, we draw the following conclusions:
NH4SH salts form via the in situ reaction of NH3 and H2S ices already at 15 K even when diluted in H2O ice in mixing ratios relevant to interstellar ices;
The apparent band strength of the NH4+ ν4 feature (~6.8 µm/ 1470 cm−1) in 10–50% NH4SH:H2O mixtures ranges from 3.2(±0.3)-3.6(±0.4)×10−17, which does not preclude the detection of ammonium cations at similar concentrations with respect to H2O in interstellar ice spectra. These apparent band strengths are a factor of ~1.22–1.38 lower than the NH4+ ν4 band strength in NH4HCOO:H2O ice from Schutte & Khanna (2003) that is frequently used to quantify NH4+ ice column densities in interstellar ice spectra;
The apparent band strength of the SH− stretching mode (~3.9 µm/2560 cm−1) in 10–50% NH4SH:H2O mixtures- ranges from 3.1(±0.4)-3.7(±0.5)×10−19 cm molec−1. This is nearly two orders of magnitude lower than the apparent band strength of the H2S stretching mode in the same spectral region. Therefore, it is significantly more challenging to detect H2S if it is anionic;
The peak profile of the NH4+ ν4 feature in the laboratory NH4SH:H2O spectra matches well with the profile of the observed 6.85 µm feature in the pre- and protostellar sources investigated here. From these fits, we derive NH4+ column densities ranging from ~8–23% with respect to H2O;
The NH4+ ν4 feature in laboratory NH4SH ices redshifts not only when heated, but also when the salt’s concentration increases with respect to hydrogen-bonding matrix species like H2O and NH3 . This could explain why the ammonium ion abundance with respect to H2O is very strongly correlated with the peak position of the 6.85 µm feature toward cold dense clouds and moderately correlated toward protostars. The redshifts in the 6.85 µm feature toward thermally processed protostars could be driven by multiple physicochemical effects, such as an increase in the local concentration of ammonium salts with respect to H2O caused by the reaction of leftover neutrals in the ice promoted by diffusion or thermally driven ice restructuring. In ices found toward protostars with extreme environments and exceptionally redshifted features, the thermal desorption of NH4SH with water ice may also contribute to the observed redshift;
While the extremely low apparent band strength of the SH− stretching mode makes it very difficult to reliably detect in the spectrally busy region at 3.9 µm, the weak and broad NH4+ ν4 + SH− libration combination mode at 5.3 µm is an alternative means of SH− detection due to a lack of other major ice features at this wavelength. Here, we tentatively assign the weak and broad feature observed at 5.3 µm in the JWST spectra of our two investigated LYSOs to this combination band of NH4SH;
The maximum possible combined contributions of the salts NH4OCN, NH4CN, NH4HCOO, and NH4Cl to the total ammonium salt abundance range between 15–20% toward the three investigated protostars with clearly detected 4.62 and 7.39 µm features;
If the SH− anion is indeed the primary counterion to the observed column density of NH4+ cations in these spectra (as it is in the dust grains of comet 67P), then NH4SH could account for up to 17–18% of the S budget toward our investigated sources, making it a potentially significant sulfur sink in dense star-forming regions.
Data availability
The appendix of this paper can be found on Zenodo at https://doi.org/10.5281/zenodo.13864529.
Acknowledgements
This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with programs #1290 and #1960. All the JWST data used in this paper can be found in MAST: 10.17909/3kky-t040. The following National and International Funding Agencies funded and supported the MIRI development: NASA; ESA; Belgian Science Policy Office (BELSPO); Centre Nationale d’Etudes Spa- tiales (CNES); Danish National Space Centre; Deutsches Zentrum fur Luft- und Raumfahrt (DLR); Enterprise Ireland; Ministerio De Economiá y Competividad; Netherlands Research School for Astronomy (NOVA); Netherlands Organisation for Scientific Research (NWO); Science and Technology Facilities Council; Swiss Space Office; Swedish National Space Agency; and UK Space Agency. Astrochemistry at Leiden is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101019751 MOLDISK), the Netherlands Research School for Astronomy (NOVA), and the Danish National Research Foundation through the Center of Excellence “InterCat” (Grant agreement no.: DNRF150). We thank an anomymous reviewer for their constructive and insightful comments that we believe improved this paper.
References
- Altwegg, K., Balsiger, H., & Fuselier, S. A. 2019, ARA&A, 57, 113 [NASA ADS] [CrossRef] [Google Scholar]
- Altwegg, K., Combi, M., Fuselier, S., et al. 2022, MNRAS, 516, 3900 [NASA ADS] [CrossRef] [Google Scholar]
- Argyriou, I., Glasse, A., Law, D. R., et al. 2023, A&A, 675, A111 [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]
- Bergner, J. B., Öberg, K. I., Rajappan, M., & Fayolle, E. C. 2016, ApJ, 829, 85 [NASA ADS] [CrossRef] [Google Scholar]
- Bockelée-Morvan, D., Lis, D., Wink, J., et al. 2000, A&A, 353, 1101 [Google Scholar]
- Böker, T., Arribas, S., Lützgendorf, N., et al. 2022, A&A, 661, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Boogert, A., Schutte, W., Helmich, F., Tielens, A., & Wooden, D. 1997, A&A, 317, 929 [NASA ADS] [Google Scholar]
- Boogert, A., Ehrenfreund, P., Gerakines, P. A., et al. 2000, A&A, 353, 349 [NASA ADS] [Google Scholar]
- Boogert, A. C., Pontoppidan, K. M., Knez, C., et al. 2008, ApJ, 678, 985 [NASA ADS] [CrossRef] [Google Scholar]
- Boogert, A., Huard, T., Cook, A., et al. 2011, ApJ, 729, 92 [NASA ADS] [CrossRef] [Google Scholar]
- Boogert, A., Chiar, J., Knez, C., et al. 2013, ApJ, 777, 73 [NASA ADS] [CrossRef] [Google Scholar]
- Boogert, A. A., Gerakines, P. A., & Whittet, D. C. 2015, ARA&A, 53, 541 [NASA ADS] [CrossRef] [Google Scholar]
- Boogert, A., Brewer, K., Brittain, A., & Emerson, K. 2022, ApJ, 941, 32 [NASA ADS] [CrossRef] [Google Scholar]
- Bottinelli, S., Boogert, A. A., Bouwman, J., et al. 2010, ApJ, 718, 1100 [NASA ADS] [CrossRef] [Google Scholar]
- Bouilloud, M., Fray, N., Bénilan, Y., et al. 2015, MNRAS, 451, 2145 [Google Scholar]
- Bragin, J., Diem, M., Guthals, D., & Chang, S. 1977, J. Chem. Phys., 67, 1247 [CrossRef] [Google Scholar]
- Brown, P., Charnley, S., & Millar, T. 1988, MNRAS, 231, 409 [NASA ADS] [CrossRef] [Google Scholar]
- Brunken, N., van Dishoeck, E., Slavicinska, K., et al. 2024, arXiv e-prints [arXiv: 2409.17237] [Google Scholar]
- Caselli, P., & Ceccarelli, C. 2012, A&AR, 20, 1 [NASA ADS] [Google Scholar]
- Chen, Y.-J., Juang, K.-J., Nuevo, M., et al. 2014, ApJ, 798, 80 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, Y., Rocha, W. R. M., van Dishoeck, E. F., et al. 2024, A&A, 690, A205 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dartois, E., & d’Hendecourt, L. 2001, A&A, 365, 144 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Drozdovskaya, M. N., van Dishoeck, E. F., Rubin, M., Jørgensen, J. K., & Altwegg, K. 2019, MNRAS, 490, 50 [Google Scholar]
- Druard, C., & Wakelam, V. 2012, MNRAS, 426, 354 [NASA ADS] [CrossRef] [Google Scholar]
- Ehrenfreund, P., Boogert, A., Gerakines, P., Tielens, A., & Van Dishoeck, E. 1997, A&A, 328, 649 [NASA ADS] [Google Scholar]
- Esteban, C., Peimbert, M., García-Rojas, J., et al. 2004, MNRAS, 355, 229 [NASA ADS] [CrossRef] [Google Scholar]
- Ferraro, J. R., Sill, G., & Fink, U. 1980, Appl. Spectrosc., 34, 525 [NASA ADS] [CrossRef] [Google Scholar]
- Furuya, K., Oba, Y., & Shimonishi, T. 2022, ApJ, 926, 171 [NASA ADS] [CrossRef] [Google Scholar]
- Galvez, O., Maté, B., Herrero, V. J., & Escribano, R. 2010, ApJ, 724, 539 [NASA ADS] [CrossRef] [Google Scholar]
- Gardner, J. P., Mather, J. C., Abbott, R., et al. 2023, PASP, 135, 068001 [NASA ADS] [CrossRef] [Google Scholar]
- Garozzo, M., Fulvio, D., Kanuchova, Z., Palumbo, M., & Strazzulla, G. 2010, A&A, 509, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garrod, R. T., Wakelam, V., & Herbst, E. 2007, A&A, 467, 1103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gerakines, P., Moore, M., & Hudson, R. 2004, Icarus, 170, 202 [Google Scholar]
- Gerakines, P. A., Yarnall, Y. Y., & Hudson, R. L. 2024, Icarus, 116007 [Google Scholar]
- Gibb, E., Whittet, D., Boogert, A., & Tielens, A. 2004, ApJS, 151, 35 [NASA ADS] [CrossRef] [Google Scholar]
- Goicoechea, J. R., Aguado, A., Cuadrado, S., et al. 2021, A&A, 647, A10 [EDP Sciences] [Google Scholar]
- Grim, R., Greenberg, J., De Groot, M., et al. 1989a, A&AS, 78, 161 [NASA ADS] [Google Scholar]
- Grim, R. J., Greenberg, J. M., Schutte, W. A., & Schmitt, B. 1989b, ApJ, 341, L87 [NASA ADS] [CrossRef] [Google Scholar]
- Henkel, C., Wilson, T., & Mauersberger, R. 1987, A&A, 182, 137 [NASA ADS] [Google Scholar]
- Hudson, R. L., & Gerakines, P. A. 2018, ApJ, 867, 138 [CrossRef] [Google Scholar]
- Hudson, R., Ferrante, R., & Moore, M. 2014, Icarus, 228, 276 [Google Scholar]
- Hudson, R., Gerakines, P., & Loeffler, M. 2015, PCCP, 17, 12545 [CrossRef] [Google Scholar]
- Hudson, R. L., Gerakines, P. A., & Yarnall, Y. Y. 2022, ApJ, 925, 156 [NASA ADS] [CrossRef] [Google Scholar]
- Jakobsen, P., Ferruit, P., de Oliveira, C. A., et al. 2022, A&A, 661, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jiménez-Escobar, A., & Caro, G. M. 2011, A&A, 536, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jiménez-Escobar, A., Muñoz Caro, G., & Chen, Y.-J. 2014, MNRAS, 443, 343 [CrossRef] [Google Scholar]
- Joseph, C. L., Snow Jr, T. P., Seab, C. G., & Crutcher, R. M. 1986, ApJ, 309, 771 [NASA ADS] [CrossRef] [Google Scholar]
- Kama, M., Shorttle, O., Jermyn, A. S., et al. 2019, ApJ, 885, 114 [Google Scholar]
- Keane, J., Tielens, A., Boogert, A., Schutte, W., & Whittet, D. 2001, A&A, 376, 254 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Keller, L., Hony, S., Bradley, J., et al. 2002, Nature, 417, 148 [CrossRef] [Google Scholar]
- Kerkhof, O., Schutte, W., & Ehrenfreund, P. 1999, A&A, 346, 990 [NASA ADS] [Google Scholar]
- Knacke, R., McCorkle, S., Puetter, R., Erickson, E., & Krätschmer, W. 1982, ApJ, 260, 141 [NASA ADS] [CrossRef] [Google Scholar]
- Knez, C., Boogert, A. A., Pontoppidan, K. M., et al. 2005, ApJ, 635, L145 [NASA ADS] [CrossRef] [Google Scholar]
- Kruczkiewicz, F., Vitorino, J., Congiu, E., Theulé, P., & Dulieu, F. 2021, A&A, 652, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Laas, J. C., & Caselli, P. 2019, A&A, 624, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ligterink, N., Terwisscha van Scheltinga, J., Taquet, V., et al. 2018, MNRAS, 480, 3628 [NASA ADS] [CrossRef] [Google Scholar]
- Lodders, K. 2003, ApJ, 591, 1220 [Google Scholar]
- Loeffler, M. J., Hudson, R. L., Chanover, N. J., & Simon, A. A. 2015, Icarus, 258, 181 [NASA ADS] [CrossRef] [Google Scholar]
- Martín-Doménech, R., Jiménez-Serra, I., Caro, G. M., et al. 2016, A&A, 585, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mastrapa, R., Sandford, S., Roush, T., Cruikshank, D., & Dalle Ore, C. 2009, ApJ, 701, 1347 [NASA ADS] [CrossRef] [Google Scholar]
- Maté, B., Gálvez, O., Herrero, V., et al. 2009, ApJ, 703, L178 [CrossRef] [Google Scholar]
- Mauersberger, R., Henkel, C., Wilson, T., & Walmsley, C. 1986, A&A, 162, 199 [NASA ADS] [Google Scholar]
- McClure, M. K., Rocha, W., Pontoppidan, K., et al. 2023, Nat. Astron., 7, 431 [NASA ADS] [CrossRef] [Google Scholar]
- Noble, J. A., Theule, P., Borget, F., et al. 2013, MNRAS, 428, 3262 [NASA ADS] [CrossRef] [Google Scholar]
- Oba, Y., Tomaru, T., Lamberts, T., Kouchi, A., & Watanabe, N. 2018, Nat. Astron., 2, 228 [NASA ADS] [CrossRef] [Google Scholar]
- Öberg, K. I., Boogert, A. A., Pontoppidan, K. M., et al. 2008, ApJ, 678, 1032 [CrossRef] [Google Scholar]
- Öberg, K. I., Boogert, A. A., Pontoppidan, K. M., et al. 2011, ApJ, 740, 109 [CrossRef] [Google Scholar]
- Palumbo, M., Geballe, T., & Tielens, A. G. 1997, ApJ, 479, 839 [NASA ADS] [CrossRef] [Google Scholar]
- Pauls, A., Wilson, T., Bieging, J., & Martin, R. 1983, A&A, 124, 23 [NASA ADS] [Google Scholar]
- Perrero, J., Beitia-Antero, L., Fuente, A., Ugliengo, P., & Rimola, A. 2024, MNRAS, 527, 10697 [Google Scholar]
- Pontoppidan, K. M. 2006, A&A, 453, L47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rachid, M., Brunken, N., De Boe, D., et al. 2021, A&A, 653, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Raunier, S., Chiavassa, T., Marinelli, F., Allouche, A., & Aycard, J. 2003, Chem. phys. lett., 368, 594 [NASA ADS] [CrossRef] [Google Scholar]
- Reach, W. T., Faied, D., Rho, J., et al. 2008, ApJ, 690, 683 [Google Scholar]
- Rocha, W., Rachid, M., Olsthoorn, B., et al. 2022, A&A, 668, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rocha, W., van Dishoeck, E., Ressler, M., et al. 2024, A&A, 683, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Santos, J. C., Linnartz, H., & Chuang, K.-J. 2023, A&A, 678, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schutte, W., & Khanna, R. 2003, A&A, 398, 1049 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schutte, W., Boogert, A., Tielens, A., et al. 1999, A&A, 343, 966 [NASA ADS] [Google Scholar]
- Sellgren, K., Brooke, T., Smith, R., & Geballe, T. 1995, ApJ, 449, L69 [NASA ADS] [Google Scholar]
- Slavicinska, K., Rachid, M. G., Rocha, W. R. M., et al. 2023, A&A, 677, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Slavicinska, K., van Dishoeck, E. F., Tychoniec, L., et al. 2024, A&A, 688, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Smith, R. G. 1991, MNRAS, 249, 172 [NASA ADS] [CrossRef] [Google Scholar]
- Tieftrunk, A., Pineau des Forets, G., Schilke, P., & Walmsley, C. 1994, A&A, 289, 579 [NASA ADS] [Google Scholar]
- Tielens, A., & Allamandola, L. 1987, Physical Processes in Interstellar Clouds, 333 [Google Scholar]
- van Broekhuizen, F., Keane, J., & Schutte, W. 2004, A&A, 415, 425 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van Broekhuizen, F. A., Pontoppidan, K., Fraser, H., & Van Dishoeck, E. 2005, A&A, 441, 249 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vastel, C., Phillips, T., Ceccarelli, C., & Pearson, J. 2003, ApJ, 593, L97 [NASA ADS] [CrossRef] [Google Scholar]
- Vidal, T. H., & Wakelam, V. 2018, MNRAS, 474, 5575 [NASA ADS] [CrossRef] [Google Scholar]
- Vidal, T. H., Loison, J.-C., Jaziri, A. Y., et al. 2017, MNRAS, 469, 435 [NASA ADS] [CrossRef] [Google Scholar]
- Vitorino, J., Loison, J.-C., Wakelam, V., Congiu, E., & Dulieu, F. 2024, MNRAS, 533, 52 [NASA ADS] [CrossRef] [Google Scholar]
- Walmsley, C. M. 1994, AIP Conference Proceedings (American Institute of Physics), 312, 463 [NASA ADS] [CrossRef] [Google Scholar]
- Wilson, T., Mauersberger, R., Walmsley, C., & Batrla, W. 1983, A&A, 127, L19 [NASA ADS] [Google Scholar]
- Woods, P. M., Occhiogrosso, A., Viti, S., et al. 2015, MNRAS, 450, 1256 [Google Scholar]
- Wright, G. S., Rieke, G. H., Glasse, A., et al. 2023, PASP, 135, 048003 [NASA ADS] [CrossRef] [Google Scholar]
- Yarnall, Y. Y., & Hudson, R. L. 2022, ApJ, 931, L4 [CrossRef] [Google Scholar]
- York, D. 1966, Can. J. Phys., 44, 1079 [NASA ADS] [CrossRef] [Google Scholar]
All Tables
Summary of sources whose ice spectra are compared to laboratory NH4 SH spectra in this work.
Apparent band strengths of the NH4+ ν4 mode and the SH−stretching mode in H2O:NH3H2S mixtures of three different concentrations.
H2O and NH4+ ice column densities calculated toward the investigated sources using laboratory IR spectra and apparent band strengths of NH4SH in H2O-rich ices.
Estimated abundances and upper limits of four other counterion candidates, reported in percentages (%) with respect to NH4+ column densities.
Estimated contribution of NH4SH salt to the total S budgets of each of the investigated sources, assuming 80–85% of the NH4+ cations quantified via the 6.85 µm band are bound to SH− anions.
All Figures
![]() |
Fig. 1 Comparison of the infrared spectra of pure and mixed NH3 and H2S ices with peak assignments labeled (see Table C.1). Libration modes are indicated with an R. Several features in the spectrum of mixed NH3 and H2S ices at 15 K indicate the formation of NH4SH salt, although peaks of nonreacted NH3 and H2S are still present. By 120 K, only signatures of the salt remain. The narrowing of the salt features by 140 Kis characteristic of the salt undergoing a phase change (i.e., crystallization). |
In the text |
![]() |
Fig. 2 Characterization of selected features in the NH3:H2S 1:1 spectra during the isothermal hold at 15 K after deposition finished. Top: peak area of the NH4+ ν4 feature. Middle: peak area of the blended NH3 umbrella bending and H2S bending features. Bottom: peak position of the NH4+ ν4 feature. |
In the text |
![]() |
Fig. 3 Spectra of two H2O:NH3:H2S mixtures at 15 and 135 K. The plot insets zoom in on two features of interest in this work, the SH− stretching mode and the NH4+ asymmetric bending (ν4) mode. The dashed vertical lines within the right inset indicate the peak positions of the NH4+ ν4 mode at the two plotted temperatures, showing how the feature redshifts as the ice is heated. Vibrational mode assignments are provided for the H2O:NH3:H2S mixture at 135 K. |
In the text |
![]() |
Fig. 4 Characterization of selected features in the H2O:NH3:H2S 4:3:2 spectra in the period between the end of the ice deposition and the start of the ice warm-up. During this time, the sample was held at 15 K. Top: peak area of the NH4+ ν4 feature. Middle: peak area of the blended NH3 umbrella bending and H2S bending features. Bottom: peak position of the NH4+ ν4 feature. |
In the text |
![]() |
Fig. 5 The ratio of the integrated absorbance of the NH4+ ν4 peak at 15 K versus 135 K plotted as a function of the concentration of NH4+ with respect to H2O (assuming 100% reaction completion) for various H2O:NH3:H2S mixtures. |
In the text |
![]() |
Fig. 6 The ratio of the peak position of the NH4+ ν4 mode at 135 K as a function of the concentration of NH4+ with respect to H2O plotted for various H2O:NH3H2S mixtures. |
In the text |
![]() |
Fig. 7 Beer’s law plot used to derive the apparent band strength of the NH4+ ν4 feature formed in the H2O:NH3:H2S 10:3:2 mixture. |
In the text |
![]() |
Fig. 8 Beer’s law plot used to derive the apparent band strength of the SH− stretching feature formed in the H2O:NH3:H2S 10:3:2 mixture. |
In the text |
![]() |
Fig. 9 Fits of laboratory IR spectra of NH4SH:H2O ice mixtures at 135 K (sea green solid trace) and pure CH3OH ice at 15 K (dash-dotted red or pink trace) to the 6.85 µm feature observed toward four protostars and two dense clouds (see Table 3). The total combined fits of both NH4SH and CH3OH are indicated with the dashed light blue trace. The best fitting mixture used in each fit is listed inside each panel. Note that many of the sharp spikes present in the JWST LYSO spectra are gas-phase lines in absorption (e.g., B1-c) or emission (e.g., L1527) rather than noise. Local continua used to extract the feature from the observational spectra can be found in Figure E.2. |
In the text |
![]() |
Fig. 10 Selected laboratory spectra of H2O:NH3:H2S ice mixtures of various concentration plotted with the 6.85 µm feature observed toward L1527 with JWST. |
In the text |
![]() |
Fig. 11 Abundances of the ammonium cation with respect to H2O ice plotted against the τintC4/τintC3 ratios of ices toward isolated dense clouds (left, blue) and protostars (right, red). To facilitate comparison, the protostellar and cloud values are also plotted in the left and right plots, respectively, in light gray. A higher τintC4/τintC3 is indicative of a greater redshift in the peak position of the 6.85 µm feature. The plotted values are taken from Boogert et al. (2011) (clouds) and Boogert et al. (2008) (protostars). The Spearman’s rank correlation coefficient ρ and the p-value indicating probability of noncorrelation are provided in the top right corner. The plotted NH4+ abundances have been multiplied by a correction factor of 4.4/3.6 to account for the difference between NH4+ ν4 mode band strength used by Boogert et al. (2008) and Boogert et al. (2011) (4.4× 10−17 cm molec−1 from Schutte & Khanna 2003) and the band strengths calculated in this work to enable a direct comparison to our NH4+ ice upper limits in Table 5. Upper limits have been excluded from this plot, as well as data from the sources 2MASS J19214480+1121203 (due to the high error of its τintC4/τintC3 ratio) and IRAS 03301+3111 (due to its τintC4/τintC3 ratio being undefined because its τintC3 = 0). |
In the text |
![]() |
Fig. 12 The highly redshifted 6.85 µm band of three unusual proto- stellar sources (red solid traces) which are not sufficiently fit with any of our laboratory NH4SH:H2O mixtures. The laboratory spectrum with the greatest redshift out of our full lab sample, the H2O:NH3:H2S 1:1:1 ice heated to 135 K, is overplotted in dotted sea green traces for comparison. |
In the text |
![]() |
Fig. 13 Fits of the SH− stretching mode from laboratory NH4SH:H2O spectra (dark green solid trace) and the combination modes from laboratory CH3OH spectra (dash-dotted red or pink trace) to the absorption complex between 3.8–4.2 µm observed toward four protostars. The fit SH− features are isolated from the laboratory spectra via a local continuum subtraction and scaled with the same factors as those used to fit the 6.85 µm bands in Figure 9. The CH3OH features are similarly scaled using literature CH3 OH ice column densities or upper limits calculated from the 3.53 or 9.74 µm features. As the SH− stretching mode and CH3OH combination modes are some of the weakest spectral features of the investigated ices, both the NH4SH and CH3OH laboratory spectra are smoothed with a Savgol filter prior to fitting to remove experimental noise. Excess absorptions that is not fit with SH− and CH3OH features are fit with Gaussians (dotted orange trace) that could be attributed to a combination of H2S and thiol ices. The full fit is indicated with a dashed light green trace, and the horizontal shaded red bars indicate 3σ levels calculated from RMS errors in the 3.72–3.77 µm range. Data from 4.03–4.18 µm (G395H gap in JWST data, low S/N region in ISO data) is excluded from the plot. Plots of the local continua applied to the observed spectra can be found in Appendix E.1. |
In the text |
![]() |
Fig. 14 Laboratory NH4SH:H2O data scaled with the same factor as that used to fit the 6.85 µm band in Figure 9 plotted with the global continuum-subtracted spectra of four protostars, zoomed in on the 4.8–5.6 µm region where a weak and broad absorption is observed. The profile of the observed absorption matches well the NH4+ ν4 + SH− libration combination mode in the laboratory spectra. Plots of the global continua applied to the observed spectra can be found in Appendix E.1. |
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.