2014
DOI: 10.1051/0004-6361/201424236
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Water in low-mass star-forming regions withHerschel

Abstract: Aims. Our aim is to determine the critical parameters in water chemistry and the contribution of water to the oxygen budget by observing and modelling water gas and ice for a sample of eleven low-mass protostars, for which both forms of water have been observed. Methods. A simplified chemistry network, which is benchmarked against more sophisticated chemical networks, is developed that includes the necessary ingredients to determine the water vapour and ice abundance profiles in the cold, outer envelope in whi… Show more

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Cited by 32 publications
(66 citation statements)
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“…HCO + can be destroyed through reactions with H 2 O (e.g. Jørgensen et al 2013) Schmalzl et al 2014) could be suppressing the HCO + abundance in the outflow. This would explain why it is a poorer tracer of the outflow than might otherwise be expected.…”
Section: Envelopementioning
confidence: 99%
“…HCO + can be destroyed through reactions with H 2 O (e.g. Jørgensen et al 2013) Schmalzl et al 2014) could be suppressing the HCO + abundance in the outflow. This would explain why it is a poorer tracer of the outflow than might otherwise be expected.…”
Section: Envelopementioning
confidence: 99%
“…The overproduction of H 2 O ice may be due to a lack of grainsurface reactions in our chemical network, which tend to drain A102, page 6 of 12 oxygen out of H 2 O and convert it to other species (Schmalzl et al 2014). N 2 H + 1-0 probably suffers from our choice of a spherically symmetric envelope model.…”
Section: Models Vs Observationsmentioning
confidence: 99%
“…We also assumed perfect symmetry, which of course is questionable in massive objects. Schmalzl et al (2014) have used a small (N reactions) chemical network (SWaN) to predict realistic water abundance profiles for low-mass protostellar envelopes, which have significantly improved the HIFI water line modeling for low-mass protostellar cores. Applying this chemistry network to our highmass protostellar objects is very difficult because several crucial input parameters are not well known or are not optimized for high-mass protostars (e.g., the large amounts of UV photons produced by the massive object).…”
Section: Abundance Structurementioning
confidence: 99%