691 research outputs found
Modelling line emission of deuterated H_3^+ from prestellar cores
Context: The depletion of heavy elements in cold cores of interstellar
molecular clouds can lead to a situation where deuterated forms of H_3^+ are
the most useful spectroscopic probes of the physical conditions.
Aims: The aim is to predict the observability of the rotational lines of
H_2D^+ and D_2H^+ from prestellar cores.
Methods: Recently derived rate coefficients for the H_3^+ + H_2 isotopic
system were applied to the "complete depletion" reaction scheme to calculate
abundance profiles in hydrostatic core models. The ground-state lines of
H_2D^+(o) (372 GHz) and D_2H^+(p) (692 GHz) arising from these cores were
simulated. The excitation of the rotational levels of these molecules was
approximated by using the state-to-state coefficients for collisions with H_2.
We also predicted line profiles from cores with a power-law density
distribution advocated in some previous studies.
Results: The new rate coefficients introduce some changes to the complete
depletion model, but do not alter the general tendencies. One of the
modifications with respect to the previous results is the increase of the D_3^+
abundance at the cost of other isotopologues. Furthermore, the present model
predicts a lower H_2D^+ (o/p) ratio, and a slightly higher D_2H^+ (p/o) ratio
in very cold, dense cores, as compared with previous modelling results. These
nuclear spin ratios affect the detectability of the submm lines of H_2D^+(o)
and D_2H^+(p). The previously detected H_2D^+ and D_2H^+ lines towards the core
I16293E, and the H_2D^+ line observed towards Oph D can be reproduced using the
present excitation model and the physical models suggested in the original
papers.Comment: 10 pages, 11 Figures; ver2: updated some of the Figures, added some
references, added an entry to acknowledgement
A study of the -/- ratio in low-mass star forming regions
We use the deuteration of - to probe the physical
parameters of starless and protostellar cores, related to their evolutionary
states, and compare it to the -deuteration in order to
study possible differences between the deuteration of C- and N-bearing species.
We observed the main species -, the singly and doubly
deuterated species - and -, as
well as the isotopologue - toward 10 starless
cores and 5 protostars in the Taurus and Perseus Complexes. We examined the
correlation between the
(-)/(-) ratio and the dust
temperature along with the column density and the CO depletion
factor. The resulting
(-)/(-) ratio is within the
error bars consistent with in all starless cores with detected
-. This also accounts for the protostars except for the
source HH211, where we measure a high deuteration level of . The
deuteration of follows the same trend but is considerably
higher in the dynamically evolved core L1544. Toward the protostellar cores the
coolest objects show the largest deuterium fraction in
-. We show that the deuteration of
- can trace the early phases of star formation and is
comparable to that of . However, the largest
- deuteration level is found toward protostellar cores,
suggesting that while - is mainly frozen onto dust
grains in the central regions of starless cores, active deuteration is taking
place on ice
Calculating the 3D magnetic field of ITER for European TBM studies
The magnetic perturbation due to the ferromagnetic test blanket modules
(TBMs) may deteriorate fast ion confinement in ITER. This effect must be
quantified by numerical studies in 3D. We have implemented a combined finite
element method (FEM) -- Biot-Savart law integrator method (BSLIM) to calculate
the ITER 3D magnetic field and vector potential in detail. Unavoidable geometry
simplifications changed the mass of the TBMs and ferritic inserts (FIs) up to
26%. This has been compensated for by modifying the nonlinear ferromagnetic
material properties accordingly. Despite the simplifications, the computation
geometry and the calculated fields are highly detailed. The combination of
careful FEM mesh design and using BSLIM enables the use of the fields
unsmoothed for particle orbit-following simulations. The magnetic field was
found to agree with earlier calculations and revealed finer details. The vector
potential is intended to serve as input for plasma shielding calculations.Comment: In proceedings of the 28th Symposium on Fusion Technolog
Nitrogen fractionation towards a pre-stellar core traces isotope-selective photodissociation
Context. Isotopologue abundance ratios are important to understand the evolution of astrophysical objects and ultimately the origins of a planetary system such as our own. With nitrogen being a fundamental ingredient of pre-biotic material, understanding its chemistry and inheritance is of fundamental importance to understand the formation of the building blocks of life.
Aims. We aim to study the 14N/15N ratio in HCN, HNC, and CN across the prototypical pre-stellar core L1544. This study allows us to test the proposed fractionation mechanisms for nitrogen.
Methods. We present here single-dish observations of the ground state rotational transitions of the 13C and 15N isotopologues of HCN, HNC, and CN with the IRAM 30 m telescope. We analyse their column densities and compute the 14N/15N ratio map across the core for HCN. The 15N fractionation of CN and HNC is computed towards different offsets across L1544.
Results. The 15 N-fractionation map of HCN towards a pre-stellar core is presented here for the first time. Our map shows a very clear decrease in the 14N/15N ratio towards the southern edge of L1544, where carbon chain molecules present a peak, strongly suggesting that isotope-selective photodissociation has a strong effect on the fractionation of nitrogen across pre-stellar cores. The 14N/15N ratio in CN measured towards four positions across the core also shows a decrease towards the south-east of the core, while HNC shows the opposite behaviour. We also measured the 12CN/13CN ratio towards four positions across the core.
Conclusions. The uneven illumination of the pre-stellar core L1544 provides clear evidence that 15 N fractionation of HCN and CN is enhanced towards the region more exposed to the interstellar radiation field. Isotope-selective photodissociation of N2 is then a crucial process to understand 15N fractionation, as already found in protoplanetary disks. Therefore, the 15N fractionation in prestellar material is expected to change depending on the environment within which pre-stellar cores are embedded. The 12CN/13CN ratio also varies across the core, but its variation does not affect our conclusions as to the effect of the environment on the fractionation of nitrogen. Nevertheless, the interplay between the carbon and nitrogen fractionation across the core warrants follow-up studies
A large (~1 pc) contracting envelope around the prestellar core L1544
Prestellar cores, the birthplace of Sun-like stars, form from the
fragmentation of the filamentary structure that composes molecular clouds, from
which they must inherit at least partially the kinematics. Furthermore, when
they are on the verge of gravitational collapse, they show signs of subsonic
infall motions. How extended these motions are, which depends on how the
collapse occurs, remains largely unknown. We want to investigate the kinematics
of the envelope that surrounds the prototypical prestellar core L1544, studying
the cloud-core connection. To our aims, we observed the (1-0)
transition in a large map. \hcop is expected to be abundant in the envelope,
making it an ideal probe of the large-scale kinematics in the source. We
modelled the spectrum at the dust peak by means of a non
local-thermodynamical-equilibrium radiative transfer. In order to reproduce the
spectrum at the dust peak, a large () envelope is needed, with
low density (tens of at most) and contraction motions, with an
inward velocity of . We fitted the data cube
using the Hill5 model, which implements a simple model {for the optical depth
and excitation temperature profiles along the line-of-sight,} in order to
obtain a map of the infall velocity. This shows that the infall motions are
extended, with typical values in the range . Our
results suggest that the contraction motions extend in the diffuse envelope
surrounding the core, which is consistent with recent magnetic field
measurements in the source, which showed that the envelope is magnetically
supercritical.Comment: Accepted for publication on ApJ, 24 Oct. 202
Quantitative ultrasound tissue characterization in shoulder and thigh muscles – a new approach
BACKGROUND: The echogenicity patterns of ultrasound scans contain information of tissue composition in muscles. The aim was: (1) to develop a quantitative ultrasound image analysis to characterize tissue composition in terms of intensity and structure of the ultrasound images, and (2) to use the method for characterization of ultrasound images of the supraspinatus muscle, and the vastus lateralis muscle. METHODS: Computerized texture analyses employing first-order and higher-order grey-scale statistics were developed to objectively characterize ultrasound images of m. supraspinatus and m. vastus lateralis from 9 healthy participants. RESULTS: The mean grey-scale intensity was higher in the vastus lateralis muscle (p < 0.05) than in the supraspinatus muscle (average value of middle measuring site 51.4 compared to 35.0). Furthermore, the number of spatially connected and homogeneous regions (blobs) was higher in the vastus lateralis (p < 0.05) than in the supraspinatus (average for m. vastus lateralis: 0.092 mm(-2 )and for m. supraspinatus: 0.016 mm(-2)). CONCLUSION: The higher intensity and the higher number of blobs in the vastus lateralis muscle indicates that the thigh muscle contained more non-contractile components than the supraspinatus muscle, and that the muscle was coarser. The image analyses supplemented each other and gave a more complete description of the tissue composition in the muscle than the mean grey-scale value alone
An automated approach to identify scientific publications reporting pharmacokinetic parameters [version 1; peer review: awaiting peer review]
Pharmacokinetic (PK) predictions of new chemical entities are aided by prior knowledge from other compounds. The development of robust algorithms that improve preclinical and clinical phases of drug development remains constrained by the need to search, curate and standardise PK information across the constantly-growing scientific literature. The lack of centralised, up-to-date and comprehensive repositories of PK data represents a significant limitation in the drug development pipeline.In this work, we propose a machine learning approach to automatically identify and characterise scientific publications reporting PK parameters from in vivo data, providing a centralised repository of PK literature. A dataset of 4,792 PubMed publications was labelled by field experts depending on whether in vivo PK parameters were estimated in the study. Different classification pipelines were compared using a bootstrap approach and the best-performing architecture was used to develop a comprehensive and automatically-updated repository of PK publications. The best-performing architecture encoded documents using unigram features and mean pooling of BioBERT embeddings obtaining an F1 score of 83.8% on the test set. The pipeline retrieved over 121K PubMed publications in which in vivo PK parameters were estimated and it was scheduled to perform weekly updates on newly published articles. All the relevant documents were released through a publicly available web interface (https://app.pkpdai.com) and characterised by the drugs, species and conditions mentioned in the abstract, to facilitate the subsequent search of relevant PK data. This automated, open-access repository can be used to accelerate the search and comparison of PK results, curate ADME datasets, and facilitate subsequent text mining tasks in the PK domain.</ns4:p
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