The document describes a numerical chemical model that was developed to simulate the formation of HNCO (isocyanic acid) in different astrophysical environments. The model consists of two stages - a collapsing cloud phase followed by a hot core phase where the temperature increases. Various models were run to investigate HNCO formation through gas-phase reactions and grain surface reactions. The models show that HNCO formation is inefficient through gas-phase reactions alone. Surface reactions are needed to explain observed HNCO abundances. The ratio of HNCO to CS abundances varies over time in hot cores and can match observed ranges, indicating this ratio is not a simple tracer of UV radiation as previously suggested.
3d modeling of_gj1214b_atmosphere_formation_of_inhomogeneous_high_cloouds_and...Sérgio Sacani
Uma equipe de cientistas da Universidade de Washington e da Universidade de Toronto foram os primeiros a simular nuvens exóticas em 3D na atmosfera de um exoplaneta.
O objeto em questão, é o GJ 1214b, um exoplaneta chamado de mini-Netuno que foi descoberto, seis anos atrás pelos astrônomos no Harvard-Smithsonian Center for Astrophysics.
Também conhecido como Gliese 1214b, esse mundo tem cerca de 2.7 vezes o diâmetro da Terra e uma massa quase 7 vezes maior que a massa do nosso planeta. Ele está localizado a cerca de 52 anos-luz de distância na constelação de Ophiuchus.
O planeta orbita a estrela anã vermelha, GJ 1214, a cada 38 horas, a uma distância de 1.3 milhões de milhas.
De acordo com estudos prévios, o planeta tem uma atmosfera rica em água ou hidrogênio com extensas nuvens.
“Deve existir altas nuvens ou uma névoa orgânica na atmosfera – como nós observamos em Titã. Sua temperatura atmosférica excede o ponto de fusão da água”, disse o Dr. Benjamin Charnay, um dos membros da equipe da Universidade de Washington.
Cassini finds molecular hydrogen in the Enceladus plume: Evidence for hydroth...Sérgio Sacani
Saturn’s moon Enceladus has an ice-covered ocean; a plume of material erupts from
cracks in the ice. The plume contains chemical signatures of water-rock interaction
between the ocean and a rocky core.We used the Ion Neutral Mass Spectrometer onboard
the Cassini spacecraft to detect molecular hydrogen in the plume. By using the instrument’s
open-source mode, background processes of hydrogen production in the instrument were
minimized and quantified, enabling the identification of a statistically significant signal of
hydrogen native to Enceladus.We find that the most plausible source of this hydrogen is
ongoing hydrothermal reactions of rock containing reduced minerals and organic materials.
The relatively high hydrogen abundance in the plume signals thermodynamic disequilibrium
that favors the formation of methane from CO2 in Enceladus’ ocean.
Evidence for plumes of water on Europa has previously been found using the Hubble Space Telescope using two
different observing techniques. Roth et al. found line emission from the dissociation products of water. Sparks et al.
found evidence for off-limb continuum absorption as Europa transited Jupiter. Here, we present a new transit
observation of Europa that shows a second event at the same location as a previous plume candidate from Sparks
et al., raising the possibility of a consistently active source of erupting material on Europa. This conclusion is
bolstered by comparison with a nighttime thermal image from the Galileo Photopolarimeter-Radiometer that shows
a thermal anomaly at the same location, within the uncertainties. The anomaly has the highest observed brightness
temperature on the Europa nightside. If heat flow from a subsurface liquid water reservoir causes the thermal
anomaly, its depth is ≈1.8–2 km, under simple modeling assumptions, consistent with scenarios in which a liquid
water reservoir has formed within a thick ice shell. Models that favor thin regions within the ice shell that connect
directly to the ocean, however, cannot be excluded, nor modifications to surface thermal inertia by subsurface
activity. Alternatively, vapor deposition surrounding an active vent could increase the thermal inertia of the surface
and cause the thermal anomaly. This candidate plume region may offer a promising location for an initial
characterization of Europa’s internal water and ice and for seeking evidence of Europa’s habitability.
3d modeling of_gj1214b_atmosphere_formation_of_inhomogeneous_high_cloouds_and...Sérgio Sacani
Uma equipe de cientistas da Universidade de Washington e da Universidade de Toronto foram os primeiros a simular nuvens exóticas em 3D na atmosfera de um exoplaneta.
O objeto em questão, é o GJ 1214b, um exoplaneta chamado de mini-Netuno que foi descoberto, seis anos atrás pelos astrônomos no Harvard-Smithsonian Center for Astrophysics.
Também conhecido como Gliese 1214b, esse mundo tem cerca de 2.7 vezes o diâmetro da Terra e uma massa quase 7 vezes maior que a massa do nosso planeta. Ele está localizado a cerca de 52 anos-luz de distância na constelação de Ophiuchus.
O planeta orbita a estrela anã vermelha, GJ 1214, a cada 38 horas, a uma distância de 1.3 milhões de milhas.
De acordo com estudos prévios, o planeta tem uma atmosfera rica em água ou hidrogênio com extensas nuvens.
“Deve existir altas nuvens ou uma névoa orgânica na atmosfera – como nós observamos em Titã. Sua temperatura atmosférica excede o ponto de fusão da água”, disse o Dr. Benjamin Charnay, um dos membros da equipe da Universidade de Washington.
Cassini finds molecular hydrogen in the Enceladus plume: Evidence for hydroth...Sérgio Sacani
Saturn’s moon Enceladus has an ice-covered ocean; a plume of material erupts from
cracks in the ice. The plume contains chemical signatures of water-rock interaction
between the ocean and a rocky core.We used the Ion Neutral Mass Spectrometer onboard
the Cassini spacecraft to detect molecular hydrogen in the plume. By using the instrument’s
open-source mode, background processes of hydrogen production in the instrument were
minimized and quantified, enabling the identification of a statistically significant signal of
hydrogen native to Enceladus.We find that the most plausible source of this hydrogen is
ongoing hydrothermal reactions of rock containing reduced minerals and organic materials.
The relatively high hydrogen abundance in the plume signals thermodynamic disequilibrium
that favors the formation of methane from CO2 in Enceladus’ ocean.
Evidence for plumes of water on Europa has previously been found using the Hubble Space Telescope using two
different observing techniques. Roth et al. found line emission from the dissociation products of water. Sparks et al.
found evidence for off-limb continuum absorption as Europa transited Jupiter. Here, we present a new transit
observation of Europa that shows a second event at the same location as a previous plume candidate from Sparks
et al., raising the possibility of a consistently active source of erupting material on Europa. This conclusion is
bolstered by comparison with a nighttime thermal image from the Galileo Photopolarimeter-Radiometer that shows
a thermal anomaly at the same location, within the uncertainties. The anomaly has the highest observed brightness
temperature on the Europa nightside. If heat flow from a subsurface liquid water reservoir causes the thermal
anomaly, its depth is ≈1.8–2 km, under simple modeling assumptions, consistent with scenarios in which a liquid
water reservoir has formed within a thick ice shell. Models that favor thin regions within the ice shell that connect
directly to the ocean, however, cannot be excluded, nor modifications to surface thermal inertia by subsurface
activity. Alternatively, vapor deposition surrounding an active vent could increase the thermal inertia of the surface
and cause the thermal anomaly. This candidate plume region may offer a promising location for an initial
characterization of Europa’s internal water and ice and for seeking evidence of Europa’s habitability.
Long term safety of geological co2 storage: lessons from Bravo Dome Natural CO2 reservoir - Marc Hesse, University of Texas at Austin, at UKCCSRC specialist meeting Flow and Transport for CO2 Storage, 29-30 October 2015
Modelling Fault Reactivation, Induced Seismicity, and Leakage During Underground CO2 Injection, Jonny Rutquvist - Geophysical Modelling for CO2 Storage, Leeds, 3 November 2015
International Journal of Research in Engineering and Science is an open access peer-reviewed international forum for scientists involved in research to publish quality and refereed papers. Papers reporting original research or experimentally proved review work are welcome. Papers for publication are selected through peer review to ensure originality, relevance, and readability.
Transfer velocities for a suite of trace gases of emerging biogeochemical im...Martin Johnson
Authors M. T. Johnson, P. S. Liss, T.G. Bell and C.Hughes and J. Woeltjen
Paper given at the 6th International Symposium on Gas Transfer at Water Surfaces, Kyoto, Japan, May 2010.
Annual atmospheric corrosion rate and dose-response function for carbon steel...Carlos Arroyave
This paper presents an assessment on the behavior of plain carbon steel exposure to the atmosphere of Bogotá. The main climate and environmental parameters, including relative humidity (RH), temperature (T), sulphur dioxide deposition (DSO2) and particulate matter deposition (DPM) were measured. Furthermore, mass loss of AISI/SAE 1006 plain carbon steel coupons was measured along one year. In this case, coupons were exposed in eight test sites located across the city of Bogotá. Results show that the corrosion rate of carbon steel is less than 35 μm yr–1 after one year. It was found that the west part of the city has the greatest aggressivity, which has the highest levels of DPM and DSO2, related with the characteristics of the anthropogenic activities distribution across the city. A dose-response function of plain carbon steel exposure to the atmosphere of Bogotá, based on RH, T and DSO2, was obtained.
Studying and Comparing Sensing Capability of Single Walled Carbon Nanotubes f...IJERA Editor
In this study sensing capability of single walled carbon nanotubes (SWCNTs), of both zigzag (5, 0) and
armchair (4, 4) models were investigated for adsorption of O2 and N2 molecules were investigated using density
functional theory (DFT) method. Using this computational method, it is possible to obtain much more data to
apply in medical science and industrial technologies. Geometrical optimization have carried out using standard
set and B3LYP/6-311G* basis set of Gaussian 98 program. Those parts of SWCNT which have demonstrated
more contribution in adsorption energy, ΔEads (eV) were studied and compared. Electronic configurations were
discussed and the results were interpreted
Este proyecto recorriendo y aprendiendo por el Valle del Cauca "Fortaleciendo nuestras raíces" se trabajara con estudiantes del grado sexto del colegio parroquial santiago apostol.
Long term safety of geological co2 storage: lessons from Bravo Dome Natural CO2 reservoir - Marc Hesse, University of Texas at Austin, at UKCCSRC specialist meeting Flow and Transport for CO2 Storage, 29-30 October 2015
Modelling Fault Reactivation, Induced Seismicity, and Leakage During Underground CO2 Injection, Jonny Rutquvist - Geophysical Modelling for CO2 Storage, Leeds, 3 November 2015
International Journal of Research in Engineering and Science is an open access peer-reviewed international forum for scientists involved in research to publish quality and refereed papers. Papers reporting original research or experimentally proved review work are welcome. Papers for publication are selected through peer review to ensure originality, relevance, and readability.
Transfer velocities for a suite of trace gases of emerging biogeochemical im...Martin Johnson
Authors M. T. Johnson, P. S. Liss, T.G. Bell and C.Hughes and J. Woeltjen
Paper given at the 6th International Symposium on Gas Transfer at Water Surfaces, Kyoto, Japan, May 2010.
Annual atmospheric corrosion rate and dose-response function for carbon steel...Carlos Arroyave
This paper presents an assessment on the behavior of plain carbon steel exposure to the atmosphere of Bogotá. The main climate and environmental parameters, including relative humidity (RH), temperature (T), sulphur dioxide deposition (DSO2) and particulate matter deposition (DPM) were measured. Furthermore, mass loss of AISI/SAE 1006 plain carbon steel coupons was measured along one year. In this case, coupons were exposed in eight test sites located across the city of Bogotá. Results show that the corrosion rate of carbon steel is less than 35 μm yr–1 after one year. It was found that the west part of the city has the greatest aggressivity, which has the highest levels of DPM and DSO2, related with the characteristics of the anthropogenic activities distribution across the city. A dose-response function of plain carbon steel exposure to the atmosphere of Bogotá, based on RH, T and DSO2, was obtained.
Studying and Comparing Sensing Capability of Single Walled Carbon Nanotubes f...IJERA Editor
In this study sensing capability of single walled carbon nanotubes (SWCNTs), of both zigzag (5, 0) and
armchair (4, 4) models were investigated for adsorption of O2 and N2 molecules were investigated using density
functional theory (DFT) method. Using this computational method, it is possible to obtain much more data to
apply in medical science and industrial technologies. Geometrical optimization have carried out using standard
set and B3LYP/6-311G* basis set of Gaussian 98 program. Those parts of SWCNT which have demonstrated
more contribution in adsorption energy, ΔEads (eV) were studied and compared. Electronic configurations were
discussed and the results were interpreted
Este proyecto recorriendo y aprendiendo por el Valle del Cauca "Fortaleciendo nuestras raíces" se trabajara con estudiantes del grado sexto del colegio parroquial santiago apostol.
The Challenged Learner | Bryan Akers | EDU 594 SAUAkersFitness
This is my EDU 594 Major Project #1 Presentation. For more information, check out my webpage www.thechallengedlearner.weebly.com on Learning Delays and my action plan for educators in working with these students.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
The future life span of Earth’s oxygenated atmosphereSérgio Sacani
Earth’s modern atmosphere is highly oxygenated and is a remotely detectable signal of
its surface biosphere. However, the lifespan of oxygen-based biosignatures in Earth’s
atmosphere remains uncertain, particularly for the distant future. Here we use a
combined biogeochemistry and climate model to examine the likely timescale of
oxygen-rich atmospheric conditions on Earth. Using a stochastic approach, we find that
the mean future lifespan of Earth’s atmosphere, with oxygen levels more than 1% of the
present atmospheric level, is 1.08 ± 0.14 billion years (1σ). The model projects that a
deoxygenation of the atmosphere, with atmospheric O2 dropping sharply to levels
reminiscent of the Archaean Earth, will most probably be triggered before the inception
of moist greenhouse conditions in Earth’s climate system and before the extensive loss
of surface water from the atmosphere. We find that future deoxygenation is an
inevitable consequence of increasing solar fluxes, whereas its precise timing is
modulated by the exchange flux of reducing power between the mantle and the ocean–
atmosphere–crust system. Our results suggest that the planetary carbonate–silicate cycle
will tend to lead to terminally CO2-limited biospheres and rapid atmospheric
deoxygenation, emphasizing the need for robust atmospheric biosignatures applicable
to weakly oxygenated and anoxic exoplanet atmospheres and highlighting the potential
importance of atmospheric organic haze during the terminal stages of planetary
habitability.
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsSérgio Sacani
Theoretical predictions and observational data indicate a class of sub-Neptune exoplanets may have water-rich interiors
covered by hydrogen-dominated atmospheres. Provided suitable climate conditions, such planets could host surface
liquid oceans. Motivated by recent JWST observations of K2-18 b, we self-consistently model the photochemistry and
potential detectability of biogenic sulfur gases in the atmospheres of temperate sub-Neptune waterworlds for the first
time. On Earth today, organic sulfur compounds produced by marine biota are rapidly destroyed by photochemical
processes before they can accumulate to significant levels. Domagal-Goldman et al. suggest that detectable biogenic
sulfur signatures could emerge in Archean-like atmospheres with higher biological production or low UV flux. In this
study, we explore biogenic sulfur across a wide range of biological fluxes and stellar UV environments. Critically, the
main photochemical sinks are absent on the nightside of tidally locked planets. To address this, we further perform
experiments with a 3D general circulation model and a 2D photochemical model (VULCAN 2D) to simulate the global
distribution of biogenic gases to investigate their terminator concentrations as seen via transmission spectroscopy. Our
models indicate that biogenic sulfur gases can rise to potentially detectable levels on hydrogen-rich water worlds, but
only for enhanced global biosulfur flux (20 times modern Earth’s flux). We find that it is challenging to identify DMS
at 3.4 μm where it strongly overlaps with CH4, whereas it is more plausible to detect DMS and companion byproducts,
ethylene (C2H4) and ethane (C2H6), in the mid-infrared between 9 and 13 μm.
Unified Astronomy Thesaurus concepts: Exoplanet atmospheres (487); Exoplanet
Large scale mass_distribution_in_the_illustris_simulationSérgio Sacani
Observations at low redshifts thus far fail to account for all of the baryons expected in the
Universe according to cosmological constraints. A large fraction of the baryons presumably
resides in a thin and warm–hot medium between the galaxies, where they are difficult to observe
due to their low densities and high temperatures. Cosmological simulations of structure
formation can be used to verify this picture and provide quantitative predictions for the distribution
of mass in different large-scale structure components. Here we study the distribution
of baryons and dark matter at different epochs using data from the Illustris simulation. We
identify regions of different dark matter density with the primary constituents of large-scale
structure, allowing us to measure mass and volume of haloes, filaments and voids. At redshift
zero, we find that 49 per cent of the dark matter and 23 per cent of the baryons are within
haloes more massive than the resolution limit of 2 × 108 M⊙. The filaments of the cosmic
web host a further 45 per cent of the dark matter and 46 per cent of the baryons. The remaining
31 per cent of the baryons reside in voids. The majority of these baryons have been transported
there through active galactic nuclei feedback. We note that the feedback model of Illustris
is too strong for heavy haloes, therefore it is likely that we are overestimating this amount.
Categorizing the baryons according to their density and temperature, we find that 17.8 per cent
of them are in a condensed state, 21.6 per cent are present as cold, diffuse gas, and 53.9 per cent
are found in the state of a warm–hot intergalactic medium.
Hot Earth or Young Venus? A nearby transiting rocky planet mysterySérgio Sacani
Venus and Earth provide astonishingly different views of the evolution of a rocky planet, raising the question of why these two rock y worlds evolv ed so differently. The recently disco v ered transiting Super-Earth LP 890-9c (TOI-4306c, SPECULOOS-2c) is a key to the question. It circles a nearby M6V star in 8.46 d. LP890-9c receives similar flux as modern Earth, which puts it very close to the inner edge of the Habitable Zone (HZ), where models differ strongly in their prediction of how long rocky planets can hold onto their water. We model the atmosphere of a hot LP890-9c at the inner edge of the HZ, where the planet could sustain several very different environments. The resulting transmission spectra differ considerably between a hot, wet exo-Earth, a steamy planet caught in a runaway greenhouse, and an exo-Venus. Distinguishing these scenarios from the planet’s spectra will provide critical new insights into the evolution of hot terrestrial planets into exo-Venus. Our model and spectra are available online as a tool to plan observations. They show that observing LP890-9c can provide key insights into the evolution of a rocky planet at the inner edge of the HZ as well as the long-term future of Earth.
MASSIVE PHOTON HYPOTHESIS OPENS DOORS TO NEW FIELDS OF RESEARCHijrap
Mass, an inherent property of matter, is calculated directly for the photon particle from the very classical
principles of the kinetic theory of gases. It is not an end result with no perspective nor other outcome.
Quite the opposite, a single ponderable tiny photon frees the mind of old ways of thinking and opens up
new paths to a broad field of investigation where the very large can then be described and explained by the
very small. This reality of a non-zero mass suddenly shows up in the interpretation of many experiments
which become clear and simple to comprehend. Besides, that same key particle has the potential to unlock
and solve some long lasting major observational issues or enigmas. All this converges upon its
acknowledgement and acceptance.
Inverse Compton cooling limits the brightness temperature of the radiating plasma to a maximum of
1011.5 K. Relativistic boosting can increase its observed value, but apparent brightness temperatures
much in excess of 1013 K are inaccessible using ground-based very long baseline interferometry (VLBI)
at any wavelength. We present observations of the quasar 3C 273, made with the space VLBI mission
RadioAstron on baselines up to 171,000 km, which directly reveal the presence of angular structure as
small as 26 µas (2.7 light months) and brightness temperature in excess of 1013 K. These measurements
challenge our understanding of the non-thermal continuum emission in the vicinity of supermassive
black holes and require a much higher Doppler factor than what is determined from jet apparent
kinematics.
Keywords: galaxies: active — galaxies: jets — radio continuum: galaxies — techniques: interferometric
— quasars: individual (3C 273)
Formation of diamonds in laser-compressed hydrocarbons at planetary interior ...Sérgio Sacani
The effects of hydrocarbon reactions and diamond precipitation
on the internal structure and evolution of icy giant planets
such as Neptune and Uranus have been discussed for more than
three decades1. Inside these celestial bodies, simple hydrocarbons
such as methane, which are highly abundant in the atmospheres2,
are believed to undergo structural transitions3,4 that
release hydrogen from deeper layers and may lead to compact
stratified cores5–7. Indeed, from the surface towards the core,
the isentropes of Uranus and Neptune intersect a temperature–
pressure regime in which methane first transforms into a
mixture of hydrocarbon polymers8, whereas, in deeper layers, a
phase separation into diamond and hydrogen may be possible.
Here we show experimental evidence for this phase separation
process obtained by in situ X-ray diffraction from polystyrene
(C8H8)n samples dynamically compressed to conditions around
150 GPa and 5,000 K; these conditions resemble the environment
around 10,000 km below the surfaces of Neptune and
Uranus9. Our findings demonstrate the necessity of high pressures
for initiating carbon–hydrogen separation3 and imply
that diamond precipitation may require pressures about ten
times as high as previously indicated by static compression
experiments4,8,10. Our results will inform mass–radius relationships
of carbon-bearing exoplanets11, provide constraints for
their internal layer structure and improve evolutionary models
of Uranus and Neptune, in which carbon–hydrogen separation
could influence the convective heat transport7.
3D stellar evolution: hydrodynamic simulations of a complete burning phase in...Sérgio Sacani
Our knowledge of stellar evolution is driven by one-dimensional (1D) simulations. 1D models, however, are severely limited by uncertainties on the exact behaviour of many multidimensional phenomena occurring inside stars, affecting their structure and e volution. Recent adv ances in computing resources have allowed small sections of a star to be reproduced with multi-D hydrodynamic models, with an unprecedented degree of detail and realism. In this work, we present a set of 3D simulations of a conv ectiv e neon-burning shell in a 20 M star run for the first time continuously from its early development through to complete fuel exhaustion, using unaltered input conditions from a 321D-guided 1D stellar model. These simulations help answer some open questions in stellar physics. In particular, they show that conv ectiv e re gions do not grow indefinitely due to entrainment of fresh material, but fuel consumption pre v ails o v er entrainment, so when fuel is e xhausted conv ection also starts decaying. Our results show convergence between the multi-D simulations and the new 321D-guided 1D model, concerning the amount of conv ectiv e boundary mixing to include in stellar models. The size of the conv ectiv e zones in a star strongly affects its structure and e volution; thus, re vising their modelling in 1D will have important implications for the life and fate of stars. This will thus affect theoretical predictions related to nucleosynthesis, supernova explosions, and compact remnants.
1. arXiv:0909.4337v1[astro-ph.GA]24Sep2009
Astronomy & Astrophysics manuscript no. hnco˙18sep c ESO 2009
September 24, 2009
The abundance of HNCO and its use as a diagnostic of
environment
D M. Tideswell1, G. A. Fuller1, T. J. Millar2, and A. J. Markwick1
1
Jodrell Bank Centre for Astrophysics, Alan Turing Building, School of Physics and Astronomy, The University of Manchester,
Oxford Road, Manchester M13 9PL, UK.
2
Astrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast, Belfast, BT7 1NN, UK.
Received ** / Accepted **
ABSTRACT
Aims. We aim to investigate the chemistry and gas phase abundance of HNCO and the variation of the HNCO/CS abundance ratio as
a diagnostic of the physics and chemistry in regions of massive star formation.
Methods. A numerical-chemical model has been developed which self-consistently follows the chemical evolution of a hot core.
The model comprises of two distinct stages. The first stage follows the isothermal, modified free-fall collapse of a molecular dark
cloud. This is immediately followed by an increase in temperature which represents the switch on of a central massive star and the
subsequent evolution of the chemistry in a hot, dense gas cloud (the hot core). During the collapse phase, gas species are allowed to
accrete on to grain surfaces where they can participate in further reactions. During the hot core phase surface species thermally desorb
back in to the ambient gas and further chemical evolution takes place. For comparison, the chemical network was also used to model
a simple dark cloud and photodissociation regions.
Results. Our investigation reveals that HNCO is inefficiently formed when only gas-phase formation pathways are considered in
the chemical network with reaction rates consistent with existing laboratory data. This is particularly true at low temperatures but
also in regions with temperatures up to ∼200 K. Using currently measured gas phase reaction rates, obtaining the observed HNCO
abundances requires its formation on grain surfaces - similar to other ‘hot core’ species such as CH3OH. However our model shows
that the gas phase HNCO in hot cores is not a simple direct product of the evaporation of grain mantles. We also show that the
HNCO/CS abundance ratio varies as a function of time in hot cores and can match the range of values observed. This ratio is not
unambiguously related to the ambient UV field as been suggested - our results are inconsistent with the hypothesis of Mart´ın et al
(2008). In addition, our results show that this ratio is extremely sensitive to the initial sulphur abundance. We find that the ratio grows
monotonically with time with an absolute value which scales approximately linearly with the S abundance at early times.
Key words. Astrochemistry - Stars: formation - ISM: hot molecular cores
1. Introduction
The molecule HNCO (isocyanic acid) was first detected in the
interstellar medium over 30 years ago (Snyder & Buhl 1972) in
the Sgr B2 molecular cloud complex where its distribution was
found to be spatially extended with relatively strong emission.
Since its discovery, HNCO has been subsequently observed in
several other molecular clouds, including the dark cloud TMC-
1 (e.g. Brown 1981; Goldsmith et al. 1982; Jackson et al. 1984).
In the survey of 18 molecular clouds conducted by Jackson et al.
(1984), HNCO emission was detected in seven sources with
an average excitation temperature of 12 K, suggesting that this
molecule was tracing cold gas. Jackson et al. (1984) proposed
that HNCO was a dense gas tracer due to the coincidence of
the emission with regions of high density (n 106
cm−3
).
A larger survey of 81 molecular clouds was conducted by
Zinchenko et al. (2000). They reported a 70% detection rate with
typical fractional abundances relative to the total hydrogen num-
ber density, nH, of ∼ 10−9
and a wide range of rotational temper-
atures from 10 K to 500 K. Three of the objects were mapped and
showed the emission region to be compact and centrally peaked.
Isocyanic acid has also been detected in hot cores
(HCs), the sites of early stage, high mass star-formation
including G34.3+0.15 (MacDonald et al. 1996), W3(H2O)
(Helmich & van Dishoeck 1997) and Sgr B2; in the N,M and
NW cores (Nummelin et al. 2000). A survey towards seven
high-mass star forming regions by Bisschop et al. (2007) iden-
tified HNCO with fractional abundances relative to nH of be-
tween 6.4×10−9
and 5.4×10−8
and excitation temperatures from
64 K to 278 K. The observations suggested that HNCO can
also trace much warmer gas - consistent with the findings of
Zinchenko et al. (2000) and as such could be a potential indi-
cator of star formation activity.
A recent multitransition study of 13 molecular clouds to-
wards the Galactic Centre was conducted by Mart´ın et al.
(2008). The sources were selected to represent a range of phys-
ical conditions and included photodissociation regions (PDRs)
along with HCs and giant molecular clouds. Mart´ın et al. (2008)
compared the CS abundance, a species used as a dense gas
tracer and is regarded as a tracer of star formation sites
(Bronfman et al. 1996), to that of HNCO for each of the sources.
They found that the ratio of the abundance of HNCO to that
of CS (as traced by 13
CS) was smaller for regions in which
the FUV radiation is enhanced (PDRs), perhaps indicating that
HNCO is more sensitive than CS to FUV photodissociation.
The HNCO/CS ratio was systematically smaller in PDR-like
regions by approximately two orders of magnitude than in the
giant clouds. HCs were found to have intermediate values.
It was therefore proposed that the HNCO/CS abundance ra-
tio may provide a useful tool in distinguishing between shock
2. 2 D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment
and radiation (FUV) activity in molecular clouds. However, the
Mart´ın et al. (2008) survey only observed a limited sample to-
wards the Galactic Centre and before the usefulness of this pos-
sible tracer can be established more complete surveys and a the-
oretical understanding of the processes involved are desirable.
Since the detection of HNCO there has been much specu-
lation as to how this molecule forms but there have been few
chemical models developed which incorporate an HNCO reac-
tion network. Some authors have considered formation only in
the gas phase (e.g. Turner et al. 1999; Iglesias 1977) whilst oth-
ers have modelled the molecule’s formation on grain surfaces
(e.g. Garrod et al. 2008). Here we reconsider these processes and
motivated by the observations of Mart´ın et al. (2008), construct
a model for a hot core including both gas phase and grain surface
formation and destruction of HNCO. We set out to model both
the HNCO abundance and the HNCO/CS ratio as a function of
time for such a region. We also aim to explore the response of
the gas-phase formation of HNCO to changing physical condi-
tions. Besides modelling HNCO in hot cores, simple models of
a dark cloud and PDRs are also presented for comparison.
2. Model descriptions
Our hot core model consists of two distinct stages. The first stage
is the collapsing cloud (CC) phase which follows the isothermal
collapse of a dark molecular cloud whilst the second stage fol-
lows the evolution at constant density and a specified tempera-
ture - this is the HC phase. Along with the CC and HC models
simple dark cloud (DC) and PDR models were also produced.
These models were similar to the HC models in that no collapse
was included but different physical conditions were used. All the
models described in this paper were single point models.
2.1. Physical model
The CC model begins at a time t = 0 with an homogeneous dark
molecular cloud at a temperature, T and an initial total hydro-
gen number density of 2×104
cm−3
. The total hydrogen number
density is defined as nH = 2n(H2) + n(H) and is equal to the
cloud’s density. It was assumed that the cloud was shielded by a
visual extinction, Av, of 15 magnitudes and the standard Galactic
UV radiation field and cosmic ray ionisation rates were adopted.
These physical conditions were chosen to be representative of
a typical Galactic molecular cloud (e.g. Millar & Herbst 1990).
The cloud was then allowed to collapse isothermally following
the modified free-fall collapse formula (see Spitzer 1978);
dn(t)
dt
= B
n(t)4
no
1/3
24πGmHno
n(t)
no
1/3
− 1
1/2
cm−3
s−1
, (1)
where B is the retardation factor and a value of 0.7 was adopted
following Rawlings et al. (1992), no is the initial cloud density
(total hydrogen number density) prior to the collapse being ini-
tiated, G is the Universal Gravitational constant and mH is the
atomic mass of hydrogen.
The collapse was halted once nH = 2 × 107
cm−3
which oc-
curs after approximately 5×105
years. This density was chosen
to be representative of a typical hot core. As soon as this density
was reached the model terminated and this was considered to be
the end of the CC stage. The final chemical states of these col-
lapse models were used as the initial chemistry of the subsequent
hot core phases. A summary of the physical parameters adopted
for the seven CC models used in this work is given in Table 1.
Table 1. Summary of the seven collapsing cloud models. T is
the isothermal temperature of the collapse.
Model T (K) HNCO formation chemistry
CC1 10 All
CC2 10 Gas phase only
CC3 10 Surface only (reactions a,b)
CC4 10 All, reduced sulphur
CC5 20 All
CC6 50 All
CC7 100 All
The HC model represents the second stage of the overall evo-
lution. The HC was considered to be an homogeneous cloud
at the final density reached at the end of the collapse phase,
nH = 2 × 107
cm−3
, in which the Av was high enough that the
influence of external FUV photons is negligible. For the duration
of the HC model these physical conditions remained fixed.
A total of 10 HC models were produced. Models 1 through
4 all had the same physical conditions including a temperature
of 200 K, meant to represent the heating by a newly formed cen-
tral star. The four models differ in their chemical networks. On
the other hand, models 5 to 10 all had the same chemistry but
differing temperatures (the temperature of the initial the collaps-
ing clouds for these models also differed). A summary of these
models can be seen in Table 2
In order to follow chemistry on dust surfaces it was neces-
sary to include dust grains in the models. By assuming a gas
mass to dust mass ratio of 100, the dust number density (rela-
tive to nH) was calculated to be 1.33×10−12
. A single population
of spherical dust grains was then assumed with each grain hav-
ing a radius of 10−5
cm. The total number of binding sites on
each grain was approximately 106
assuming a surface density of
7.9×1014
cm−2
.
The DC and PDR models were modelled in a similar fashion
to the HC. The physical conditions were kept constant in each
case and no collapse was included. The DC was modelled using
a T = 10 K, nH = 2 × 104
cm−3
and an Av = 15, whilst the
PDR model adopted conditions representative of the Horsehead
nebula (Habart et al. 2005); T = 50 K, nH = 2 × 104
cm−3
, Av =
1 and an enhanced FUV radiation field equal to 60 times the in-
terstellar value as used in all the other models. In order to mimic
the effects of self-shielding of H2 and CO, which is not explic-
itly included in the code, the photodissociation rates for both
these species were set to zero in the PDR models. All the DC
and PDR models produced in this work are also summarised in
Table 2. A range of PDR models were run to demonstrate the ef-
fect of different aspects of the HNCO chemistry, different densi-
ties and different initial chemical compositions, either atomic or
evolved from a collapsing cloud. A very dense PDR with an ini-
tially evolved chemistry such as models PDR4 and PDR5 were
explored to represent clumps exposed to the UV radiation from
a very nearby young massive star.
2.2. Chemical model
For the CC and DC models, along with PDR1, PDR2 and PDR3,
all species were initially present in their elemental (atomic)
form. The only exception was hydrogen which was assumed to
be predominantly molecular with only a small fraction present
as atoms. These initial abundances (relative to nH) are given in
Table 3. For the HC models, along with PDR4 and PDR5, an
evolved initial chemistry was used. The initial abundances at
3. D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment 3
Table 2. Summary of the dark cloud (DC), hot core (HC) and PDR models used to model the time dependent HNCO gas-phase
abundance. T is the gas-phase temperature and nH is the total hydrogen number density (both held constant). The initial chemistry
was either atomic, where all species (except H) were in their elemental form, or evolved, where abundances from a collapsed cloud
(CC) model were used. The collapsing cloud models are listed in a separate table.
Model T (K) nH (cm−3
) Initial chemistry HNCO formation chemistry
DC1 10 2.0×104
Atomic Reaction c only
DC2 10 2.0×104
Atomic Reactions c,d,e and f
DC3 10 2.0×104
Atomic Reactions d,e,f and g
DC4 10 2.0×104
Atomic Reactions c,d,e,f and g
HC1 200 2.0×107
CC1 All
HC2 200 2.0×107
CC2 Gas phase only
HC3 200 2.0×107
CC3 Surface only (reactions a,b)
HC4 200 2.0×107
CC4 All
HC5 20 2.0×107
CC5 All
HC6 20 2.0×107
CC1 All
HC7 50 2.0×107
CC6 All
HC8 50 2.0×107
CC1 All
HC9 100 2.0×107
CC7 All
HC10 100 2.0×107
CC1 All
PDR1 50 2.0×104
Atomic All
PDR2 50 2.0×104
Atomic Gas phase only
PDR3 50 2.0×104
Atomic Surface only (reactions a,b)
PDR4 50 2.0×107
CC1 All
PDR5 50 2.4×105
CC1 All
the start of these models used the abundances taken from a CC
model. All the HC models and PDR4 used abundances taken
from a CC at the final density, 2 × 107
cm−3
, whereas PDR5
used abundances from a CC model at an earlier stage in the col-
lapse. In this case the density reached in the collapse was equal
2.4 × 105
cm−3
.
For all the models, once the chemistry had been initialised,
the subsequent evolution of all species was followed via a chem-
ical reaction network. This network included both reactions in
the gas phase and on dust grain surfaces, along with the coupling
mechanisms of accretion and thermal desorption only.
The gas-phase chemistry included all the reactions from
the latest UMIST database for astrochemistry (UDfA1
),
Rate06 (Woodall et al. 2007). For the grain-surface chem-
istry over 200 reactions were included from Allen & Robinson
(1977), Hasegawa et al. (1992) and Hasegawa & Herbst (1993).
Reactions on the surface were treated using the modified rate
equation method as used by Ruffle & Herbst (2000).
In order to more completely model the HNCO gas-phase
abundance some additional chemistry was included. Five surface
reactions involving HNCO were taken from the expanded OSU
gas-grain reaction network (Garrod et al. 2008) comprising of a
single formation path (reaction b in Table 4) plus four destruc-
tion mechanisms. This surface chemistry was complemented
by some gas phase reactions (also from Garrod et al. 2008)
which followed the destruction of four new species (HNCHO,
HNCOCHO, HNCONH and HNCOOH) formed from surface
processing of HNCO. The destruction of HNCO in the gas phase
was also included. This followed the treatment of Turner et al.
(1999) and included the reactions between HNCO and the fol-
lowing species; H+
, H+
3 , He+
, C+
, H3O+
, CO+
, HCO+
, OCN+
and HNCO+
. The rate coefficients for these reactions were taken
from the ion-neutral reaction database compiled by Anicich
(2004). The photodestruction of HNCO by FUV photons and
cosmic ray induced photodissociation was also incorporated
(Gredel et al. 1989; Roberge et al. 1991). Reactions with ions,
1
UDfA; www.udfa.net
particularly H+
3 and He+
dominate the destruction of HNCO in
both dark clouds and hot cores.
Two gas-phase formation reactions for HNCO were added
(reactions c and d in Table 4). The first reaction (c) is a neutral-
neutral reaction whilst the second (d) is the dissociative recom-
bination of H2NCO+
. For reaction c the rate coefficient is poorly
known. Turner et al. (1999) adopted a value of 10−13
cm3
s−1
in
their dark cloud model. However the energy barrier for this re-
action may be much larger than suggested by this number and as
such this reaction may only become significant in regions much
warmer than dark clouds. The rate coefficient for this reaction
has been measured but only at temperatures above 300 K (see
the NIST chemical kinetics database2
). A fit to the available data
provides an expression for the temperature dependent rate coef-
ficient;
k(T) = 1.5 × 10−11
× exp
−4465
T
cm3
s−1
, (2)
where T is the temperature. At 10 K this gives a consider-
ably smaller value than that used by Turner et al. (1999). We
used model DC1 to examine how the rate of reaction c affects
the HNCO abundance - the model was run several times, each
time using a different value for the rate coefficient ranging from
10−22
cm3
s−1
to 10−8
cm3
s−1
(increasing the value by two or-
ders of magnitude each time). For all other models in which re-
action c was included the rate was calculated using Equation 2.
Three further reactions were added that form ‘parent’ species
needed for the formation of HNCO. Reactions e and f are ion-
neutral reactions that are the first two reactions in a three stage
process. The actual formation of HNCO in this reaction chan-
nel is via reaction d (Iglesias 1977). The rates of these reac-
tions are calculated using the Langevin rate. The final reaction
(g) is a charge exchange reaction between He+
and OCN which
produces OCN+
. This reaction represents a third, new, reaction
2
The NIST chemical kinetics database;
http://kinetics.nist.gov/kinetics/index.jsp
4. 4 D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment
Table 3. Standard initial chemical abundances relative to the to-
tal hydrogen number density; Y(X) = n(X)/nH.
Y(X) Y(X) Y(X)
H2 0.5 H 1.00 × 10−6
He 0.1
C 1.32 × 10−4
N 7.50 × 10−5
O 3.19 × 10−4
S 1.86 × 10−5
Si+
2.46 × 10−7
Fe+
1.50 × 10−8
Table 4. Key reactions included in the chemical network relevant
to the formation of HNCO as included in the chemical network.
The prefix G denotes surface species. AR77;Allen & Robinson
(1977), GWH08;Garrod et al. (2008), TTH99; Turner et al.
(1999), I77; Iglesias (1977)
Label Reaction Reference
a GOCN + GH → GHNCO AR77
b GNH + GCO → GHNCO GWH08
c OCN + H2 → HNCO + H TTH99
d H2NCO+
+ e−
→ HNCO + H I77
e H2 + OCN+
→ HNCO+
+ H I77
f H2 + HNCO+
→ H2NCO+
+ H I77
g He+
+ OCN → He + OCN+
-
channel between these two species since the UDfA already con-
tains two reactions between He+
and OCN. A rate coefficient
of 10−9
cm3
s−1
was adopted for reaction g - representative of
charge exchange reactions.
All models were allowed to evolve chemically for 107
years,
except for the collapsing cloud models which were stopped once
the final density was reached.
3. Results
3.1. Gas phase formation of HNCO in dark clouds
For the first part of our investigation, using DC1, we explored
the effect the rate coefficient for reaction c has on the abundance
of HNCO in the gas phase. Figure 1 shows the HNCO abun-
dance along with that of OCN for a range assumed rate coeffi-
cients for reaction c. For a rate coefficient of 10−18
cm3
s−1
and
above it is possible to achieve HNCO abundances within the ob-
served range of 1.4×10−10
to 5.4×10−8
(MacDonald et al. 1996;
Bisschop et al. 2007). Equation 2 implies that for the ∼ 4500 K
barrier which laboratory data (NIST) infer for this reaction, tem-
peratures above 277 K are required to reach this value of the rate
coefficient for reaction c. Alternatively for this reaction to be ef-
fective at a gas temperature of 10 K, the barrier would have to be
less than ∼ 165 K, much lower than measurements indicate. In
other words, at the temperatures of dark molecular clouds these
reactions do not occur.
Model DC2 illustrates how the other gas-phase formation
route (via reaction d) influences the HNCO abundance. Reaction
c was also included in this model and the rate was varied as
before. Figure 2 shows the HNCO and OCN abundances along
with those for OCN+
. A lower limit for the fractional HNCO
abundance (at steady state) is effectively set at 1.1×10−11
. This
corresponds to the DC2 model with a rate cofficient of 0 for re-
action c (the solid red line in Figure 2). In this model HNCO
is underabundant compared to observations by over 2 orders of
magnitude. However, as seen for DC1, when the rate coefficient
for reaction c increases, it is possible to achieve higher abun-
dances. There is however very little difference between DC1 and
DC2 for those models with non-zero rate coefficients for reac-
tion c. Figure 3 shows the gas-phase abundance for the key re-
1e-20
1e-18
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
1000 10000 100000 1e+06 1e+07
FractionalHNCOgasphaseabundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
1000 10000 100000 1e+06 1e+07
FractionalOCNabundance(rel.toHtotaldensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
Fig. 1. Time dependent, gas phase relative abundances for
HNCO (top
) and OCN (bottom) as a function of rate coefficient for reaction c in
a non-collapsing dark cloud (model DC1). All other HNCO formation
pathways are prohibited, both in the gas-phase and on grain surfaces.
Reaction g has rate coefficient of 0.0. The shaded region defines the
range of values for the observed HNCO abundance, 1.4 × 10−10
to 5.4 ×
10−8
.
actants/products involved in the gas-phase production of HNCO
(model DC3). This shows that there is OCN in the gas-phase
but due to the low temperature this is not converted into HNCO.
Instead, at low temperatures HNCO formation through reaction
d (via reactions e and f) clearly dominates. The fourth and final
DC model, DC4, includes all the gas phase formation reactions
listed in Table 4 (but in common with the other DC models,
no grain surface processes) and the reaction rate for reaction c
has been varied. The abundance profiles for this model are seen
in Figure 4. For small values of the rate coefficient of reaction
c, the inclusion of reaction g increases the HNCO abundance.
However, to achieve HNCO abundances in the observable range
for ages less than 106
years, the Turner rate must be greater than
10−16
cm3
s−1
, which would imply temperatures of > 370 K. At
ages greater than ∼ 106
years reaction g appears to be able to
produce sufficient HNCO to match the observations even for a
much reduced rate for reaction c (indeed even a rate of zero).
However interpreting this late time rise in HNCO abundance
needs to be treated with caution as these models only include
gas phase reactions and so do not include the effect on the gas
phase abundance of freeze-out on to the grains which will be
5. D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment 5
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
1000 10000 100000 1e+06 1e+07
FractionalHNCOabundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
0.0001
1000 10000 100000 1e+06 1e+07
FractionalOCNabundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
1e-22
1e-21
1e-20
1e-19
1e-18
1e-17
1e-16
1e-15
1e-14
1000 10000 100000 1e+06 1e+07
FractionalOCN+abundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
Fig. 2. Time dependent, gas phase relative abundances for
HNCO (top), OCN (middle) and OCN+
(bottom) as a function
of rate coefficient for reaction c in a non-collapsing dark cloud
(model DC2). All gas-phase HNCO formation pathways are al-
lowed; grain-surface reactions are prohibited. Reaction g has rate
coefficient of 0.0. The shaded region defines the range of values
for the observed HNCO abundance
very significant at these late times. This peak in HNCO abun-
dance might occur earlier in models of denser clouds, but the
effect of freeze-out on the gas phase abundances would also oc-
cur earlier.
1e-22
1e-20
1e-18
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
1000 10000 100000 1e+06 1e+07
Fractionalabundance(rel.tototalHdensity)
Time (yr)
HNCO
OCN
OCN+
HNCO+
H2NCO+
Fig. 3. Time dependent, gas phase relative abundances for vari-
ous species in a non-collapsing dark cloud using only reactions
d,e and f to produce HNCO (model DC3).
3.2. HNCO in photodissociation regions
Figure 5 shows the results for our PDR models. The HNCO
abundance in PDR regions are even lower than those found in
DC. For the three PDR models with an initially atomic chem-
istry (PDR1, PDR2 and PDR3) the largest late time abundance
of HNCO (10−17
) is produced in the models with gas phase for-
mation (PDR1 and PDR2), but these produce up to 9 orders of
magnitude less HNCO than in a DC model. In model PDR3,
which allows only surface reactions, HNCO is even less abun-
dant, reaching a maximum value of 10−20
. The final two PDR
models are also presented in Figure 5. Both models follow a
similar trend, that is the HNCO abundance is steadily decreas-
ing with time, reaching a plateau at later times. However, the
HNCO abundance in PDR4 is initially larger by about two or-
ders of magnitude than in PDR5, although they ultimately reach
similar abundances of about 2×10−18
. None of the PDR models
ever approach the abundances of HNCO seen in DCs and HCs
- even for the PDR models with start with previously evolved
chemistries (PDR4 and PDR5).
The warmer conditions in these PDR models, largely due to
the reduced optical depth and enhanced radiation field resulting
in the heating of dust grains, lead to faster desorption meaning
that once formed HNCO is never on the grains for long (at the
50 K used in these models the surface lifetime is approximately
100 years) so surface formation is limited. Furthermore, HNCO
is efficiently destroyed by both FUV and cosmic ray induced
photodestruction reactions. At no time during the evolution of
any of our PDR models does the HNCO abundance come close
to the ∼ 10−9
observed by Mart´ın et al. (2008) towards PDR re-
gions. As a consequence of this low HNCO abundance, the ratio
of the abundance of HNCO to the CS abundance in these PDR
models is also many orders of magnitude lower than seen by
Mart´ın et al. (2008) (Fig. 7). The origin of the HNCO observed
by Mart´ın et al. (2008) apparently in PDRs is therefore unclear.
3.3. HNCO in hot cores
Figure 6 shows the HNCO gas-phase abundance as a function
of time for all the hot core models 1 to 10. Only times between
1000 years to 1 Myr (since the HC’s switch-on) are plotted as
6. 6 D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment
1e-14
1e-13
1e-12
1e-11
1e-10
1e-09
1e-08
1e-07
1e-06
1000 10000 100000 1e+06 1e+07
FractionalHNCOabundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
1e-16
1e-14
1e-12
1e-10
1e-08
1e-06
1000 10000 100000 1e+06 1e+07
FractionalOCNabundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
1e-20
1e-19
1e-18
1e-17
1e-16
1e-15
1000 10000 100000 1e+06 1e+07
FractionalOCN+abundance(rel.tototalHdensity)
Time (yr)
k=0.0
k=1E-22
k=1E-20
k=1E-18
k=1E-16
k=1E-14
k=1E-12
k=1E-10
k=1E-8
Fig. 4. Time dependent, gas phase relative abundances for
HNCO (top), OCN (middle) and OCN+
(bottom) as a function
of rate coefficient for reaction c in a non-collapsing dark cloud
(model DC4). All gas-phase HNCO formation pathways are al-
lowed but grain-surface reactions are prohibited. Reaction g has
rate coefficient of 1.0×10−9
cm3
s−1
. The shaded region defines
the range of values for the observed HNCO abundance
HCs are transient objects and are relatively short-lived phases of
high-mass star formation lasting less than 1 Myrs.
HC1 includes the complete reaction network described ear-
lier. The HNCO abundance for this model does reached observed
levels. Beyond ∼ 104
yrs values greater than 10−9
are seen and
1e-22
1e-20
1e-18
1e-16
1e-14
1e-12
1000 10000 100000 1e+06 1e+07
FractionalHNCOabundance(rel.tototalHdensity)
Time (yr)
PDR1
PDR2
PDR3
PDR4
PDR5
Fig. 5. Time dependent, relative gas phase abundance of HNCO
for the five PDR models. For comparison the observed value is
between 1.4 × 10−10
abd 5.4 × 10−9
. Note that curves for PDR1
and PDR2 are coincident.
1e-12
1e-11
1e-10
1e-09
1e-08
1e-07
1000 10000 100000 1e+06
FractionalHNCOabundance(rel.tototalHdensity)
Time (yr)
HC1
HC2
HC3
HC4
1e-24
1e-22
1e-20
1e-18
1e-16
1e-14
1e-12
1e-10
1e-08
1000 10000 100000 1e+06
FractionalHNCOabundance(rel.tototalHdensity)
Time (yr)
HC5
HC6
HC7
HC8
HC9
HC10
Fig. 6. Relative HNCO gas-phase abundance as a function of
time for hot core models (HC) 1 - 4 (top) and 5 - 10 (bottom).
a peak of ∼ 2×10−8
is reached at around 0.2-0.3 Myr. For the
model with surface formation only (HC3) the lower observed
limit for HNCO is reached but only beyond 105
yr. The HNCO
abundance in HC4 (which differs from HC1 only in the elemen-
tal sulphur abundance) is almost identical in behaviour as HC1.
7. D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment 7
The major differences are that higher abundances are reached
at slightly earlier times and the peak value of just over 2×10−8
remains for a further 0.1 Myr.
The gas-phase formation only HC model (HC2) shows that
the abundance for HNCO remains relatively flat and never ex-
ceeds a few 10−11
, and even then only at HC ages greater than
0.3 Myr. As discussed above, this indicates that even the rela-
tively high temperatures in hot cores, the gas-phase reactions by
themselves are incapable of producing HNCO at observed lev-
els.
The remaining HC models all had the same chemical net-
works (the full network with all reactions ‘on’), it was only
the initial and final temperatures that differed. In fact for the
sake of comparison three of the models, HC5, HC7 and HC9,
each had a constant temperature during the initial collapse and
throughout subsequent constant density evolution. The first two
models, HC5 and HC6, had the same post-collapse temperature
(20 K), however HC6 used evolved abundances from a cloud
collapsed at 10 K wheras HC5 used abundances from a cloud at
20 K. HC5 never has a fractional HNCO abundance above 10−19
,
whilst HC6 never really exceeds 10−16
. HC6 has consistently
more HNCO throughout - due to a lower temperature collapse
phase temperature. At lower temperatures the rate of thermal
desoprtion is reduced such that the surface chemistry becomes
more efficient. This means there is more NH, CO and OCN on
grain surfaces - the key reactants for the surface formation of
HNCO. For the models presented in this paper, the surface re-
action between OCN and H is more important for the formation
of HNCO than the reaction between CO and NH.
The next two models had post-collapse temperatures of 50 K.
Again, the only difference being the collapse temperature (HC7
with T = 50 K, HC8 with T = 10 K). Both of these mod-
els have higher HNCO abundances compared to HC5 and HC6.
Model HC8 is almost exactly the same as HC1, but HC7 has a
relatively constant fractional abundance of around 10−12
. Model
HC9 had a collapse and post-collapse temperature of 100 K. In
this model the abundance of HNCO is roughly constant. At early
times abundances just greater than 10−11
are seen, falling slowly
to just above 10−12
beyond 0.1 Myr. The final model, HC10, also
has a post-collapse temperature of 100 K but the collapse tem-
perature is 10 K. This has an almost identical abundance profile
as HC8. These results indicate that in order to achieve HNCO
gas-phase abundances similar to those observed, post-collapse
temperatures greater than 50 K are required.
3.4. The abundance of CS
Our models can also be used to investigate the abundance of
CS as function of time in hot cores (and PDRs). A detailed dis-
cussion of the important pathways for the evolution of sulphur-
bearing species, including CS, is given in Millar & Herbst
(1990). As mentioned above, CS is often used as a tracer of
dense gas associated with star formation and Mart´ın et al. (2008)
suggested the use of the ratio of the abundance of HNCO to that
of CS as measure of the importance of UV radiation in a region.
Figures 7 and 8 show the evolution of the abundance of CS
in our PDR and HC models respectively. All three PDR models
which start with atomic compositions (PDR1, PDR2 and PDR3)
show identical behaviour. From its initial value of 2 × 10−10
the
abundance of CS monotomically decreases by a factor of > 10
over the period covered by the model. For PDR4 and PDR5
which start with evolved chemistries the CS abundance also
monotomically decreases from a peak at early times, becoming
approximately constant at later times. The highest abundance of
1e-11
1e-10
1e-09
1e-08
1e-07
1000 10000 100000 1e+06 1e+07
FractionalCSabundance(rel.tototalHdensity)
Time (yr)
PDR1
PDR2
PDR3
PDR4
PDR5
Fig. 7. Time dependent, relative gas phase abundance of CS for
the five PDR models.
1e-10
1e-09
1e-08
1e-07
1e-06
1000 10000 100000 1e+06
FractionalCSabundance(rel.tototalHdensity)
Time (yr)
HC1
HC2
HC3
HC4
Fig. 8. Time dependent, relative gas phase abundance of CS for
four hot core models (HC1-4).
CS in these models occurs are very early times in PDR5, where
the peak abundance of ∼ 10−9
. In the HC models the CS abun-
dance is initially relatively constant, rising to a peak after about
105
yr before rapidly declining thereafter. Comparing models
HC1 and HC4, which has a sulphur abundance ten times smaller
that the other models, shows that the CS abundance throughout
most the evolution of the HC scales nearly directly with the ini-
tial sulphur abundance.
4. Discussion
Hot core models HC1, HC2 and HC3 demonstrate that gas
phase reactions alone can not produce a high enough abundance
of HNCO to match observations. Reactions on the surfaces of
grains are required. Of the models with a complete HNCO chem-
istry only models HC1, 8 and 10 achieve observed HNCO abun-
dances. (Model HC4 can also match the observed abundance, but
only differs from HC1 in its initial sulphur adundance.) These
models all have a low collapse temperature combined with high
post-collapse (hot core) temperatures. It appears that during the
collapse phase cooler temperatures are essential. (A HC model
identical to HC4, but with an inital collapse phase at 20 K,
rather than 10 K, produces a peak HNCO abundance of only
8. 8 D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment
∼ 3 × 10−14
.) 1000 years into the HC phase, reaching a peak
abundance at ∼ 105
years of only ∼ 10−11
. The cold collapse
allows accretion on to the surface of grains and hence surface
production of HNCO. However, during the hot core phase, high
temperatures are needed to allow the desorption of the surface
species back into the gas-phase. The models with constant tem-
peratures across both stages 1 and 2 of the hot core model are
seemingly incapable of producing HNCO at observed levels.
Interestingly, although grain surface reactions are clearly the
ultimate source of the HNCO, the HNCO abundance does not
follow the expected time dependent behaviour of a typical par-
ent species ejected from grain mantles. In the log-log figures
presented here the relative HNCO abundance is seen to linearly
increase with time (the actual abundance is increasing exponen-
tially with time), reaching a peak value of ∼ 10−8
, consistent
with the peak observed values, after about 2×105
years (Fig. 6).
This growth suggests that the gas phase HNCO is in fact a daugh-
ter product from the species ejected from the grain mantles.
Examining the grain mantle abundances shows that although
it is efficiently formed, HNCO is also rapidly processed to more
complex species. It is the destruction of these species after their
ejection which produces the gas phase HNCO. In our models the
HNCO is allowed to form several daughter products (HNCHO,
HNCOCHO, HNCONH and HNCOOH) on grain surfaces dur-
ing the collapse phase. Once the hot core stage is reached it
is these species that are ejected and subsequently destroyed in
the gas-phase thus returning HNCO. Such a possibility has been
previously suggested by Zinchenko et al. (2000), although these
authors prefered the explanation that the HNCO they observed
was formed in the gas phase in post-shock gas. If the HNCO
in our models was not destroyed on the grains it would be re-
turned to the gas-phase as soon as the temperature is increased
to 200 K with a relative abundance of ∼ 2 × 10−5
. This abun-
dance is several orders of magnitude overabundant compared to
observations.
Based on its excitation temperature Bisschop et al. (2007)
argue that HNCO is a ‘first generation’ species ejected from
grains. Our models indicate that this is not the case and sug-
gest that this association of a molecular species with physical
conditions on the basis of their excitation temperature alone can
be misleading.
4.1. HNCO/CS abundance ratio
The HNCO/CS abundance ratio as a function of time is shown
for the PDR models along with all the HC models in Figure 9.
The PDR models never reach values greater of the HNCO/CS
abundance ratio > 10−6
, orders of magnitude smaller than ob-
served. For model HC1 the ratio increases from about 2 × 10−4
at 103
years, peaking at ∼ 3 around 3 × 105
years. Mart´ın et al.
(2008) observed ratios for HNCO/13
CS in the range ∼ 1 to
∼ 100. Adopting a value of 77 for the abundance ratio to C/13
C
(Wilson & Rood 1994), this would imply HNCO/CS ratios of
∼ 0.013 to ∼ 1.3. The models span this ratio for times between
approximately 104
years to 2 × 105
years showing that the time
dependent evolution of the chemistry of hot cores alone can pro-
duce the entire range of observed HNCO/CS abundance ratios.
Therefore, independent of its effect on the ratio, it is clear that
HNCO/CS is not a unique tracer of UV radiation.
As the figure also shows, the underlaying sulphur abundance
also has a direct effect on the absolute value of the HNCO to CS
abundance ratio. When S is reduced by a factor of 10, for a given
time less than about few times 105
years, the HNCO/CS ratio
increases by a factor of 10. However for these times the evolution
1e-13
1e-12
1e-11
1e-10
1e-09
1e-08
1e-07
1e-06
1000 10000 100000 1e+06 1e+07
HNCO/CSAbundanceratio
Time (yr)
PDR1
PDR2
PDR3
PDR4
PDR5
0.0001
0.001
0.01
0.1
1
10
100
1000 10000 100000 1e+06
HNCO/CSAbundanceratio
Time (yr)
HC1
HC2
HC3
HC4
1e-08
1e-06
0.0001
0.01
1
100
10000
1000 10000 100000 1e+06
HNCO/CSAbundanceratio
Time (yr)
HC5
HC6
HC7
HC8
HC9
HC10
Fig. 9. HNCO/CS abundance ratio as a function of time for PDR
models (top), hot core models 1 - 4 (middle) and hot core models
5 - 10 (bottom). The shaded region defines the upper and lower
limit for the HNCO/CS ratio as found by Mart´ın et al. (2008).
for different sulphur abundances is essentially independent of
abundance. Overall the ratio monotonically increases with time
up to a peak at a few times 105
years. This generally monotonic
behaviour suggests that for a given sulphur abundance this ratio
could act as a ‘chemical clock’ to constrain the ages of sources.
9. D M. Tideswell et al.: The abundance of HNCO and its use as a diagnostic of environment 9
5. Summary
Our model shows that gas phase reactions appear incapable of
producing HNCO in sufficient quantities (even at the ∼ 200K
temperature of hot cores) to match the observed abundance of
this species. However the rate of a key gas phase reaction is
uncertain and new laboratory determination of this rate coeffi-
cient is highly desirable. HNCO can be formed on icy surfaces
by a variety of reactions. Despite the existence of these plausi-
ble mechanisms which can produce sufficient HNCO to match
observations, laboratory data is again missing and should be ob-
tained. Although it is produced on the grain surfaces in poten-
tially large amounts, our models show that the gas phase HNCO
is in fact a daughter product from the breakdown of more com-
plex species to which the HNCO on the grains have been pro-
cessed. This is contrary to recent speculation about the origin of
this species (Bisschop et al. 2007). The model also shows that
in PDRs HNCO can not be directly produced in sufficient quan-
tities to match observations. In hot cores in particular it seems
that surface chemistry during an earlier cold collapse phase fol-
lowed by gas-phase processing (in the post-collapse regime) is
important in the production of HNCO.
The ratio of HNCO to CS evolves strongly as a function of
time while its absolute value is a sensitive function of the sulphur
abundance. Whilst observations have suggested this ratio can be
used to trace different physical conditions, our findings show that
metallicity, choice of chemical network and hot core age can
all also contribute to this value. Indeed, considering that HNCO
contains three heavy elements one may expect the abundance of
HNCO to be highly sensitive to the metallicity of a region.
Acknowledgements. DMT wishes to acknowledge the receipt of an STFC stu-
dentship. Astrophysics at the JBCA and QUB is supported by grants from the
STFC. This work has also been supported by the European Communitys hu-
man potential programme under contract MCRTNCT-512302 (The Molecular
Universe). The authors would like to thank Paul Woods for his excellent proof
reading ability.
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