1,274 research outputs found
Herschel-HIFI observations of H2O, NH3 and N2H+ toward high-mass starless and proto-stellar clumps identified by the Hi-GAL survey
Our present understanding of high-mass star formation still remains very
schematic. In particular, it is not yet clear how much of the difference
between low-mass and high-mass star formation occurs during the earliest star
formation phases. The chemical characteristics of massive cold clumps, and the
comparison with those of their low-mass counterparts, could provide crucial
clues about the exact role that chemistry plays in differentiating the early
phases of low-mass and high-mass star formation. Water, in particular, is a
unique probe of physical and chemical conditions in star-forming regions. Using
the HIFI instrument of Herschel we have observed the ortho-NH3 (1_0-0_0)
(572GHz), ortho-H2O (1_10-1_01) (557GHz) and N2H+ (6-5) (559GHz) lines toward a
sample of high-mass starless and proto-stellar clumps selected from the
"Herschel} Infrared Galactic Plane Survey" (Hi-GAL). We compare our results to
previous studies of low-mass and high-mass proto-stellar objects. At least one
of the three molecular lines was detected in 4 (out of 35) and 7 (out of 17)
objects in the l=59deg and l=30deg galactic regions, respectively. All detected
sources are proto-stellar. The water spectra are complex and consist of several
kinematic components, identified through a Gaussian decomposition, and in a few
sources inverse and regular P-Cygni profiles have been detected. All water line
profiles of the l=59deg region are dominated by a broad Gaussian emission
feature, indicating that the bulk of the water emission arises in outflows. No
such broad emission is detected toward the l=30deg objects. The ammonia line in
some cases also shows line wings and an inverse P-Cygni profile, thus
confirming that NH3 rotational transitions can be used to probe the dynamics of
high-mass star forming regions. Both bolometric and water line luminosity
increase with the continuum temperature.Comment: This paper includes 7 main figures and 6 tables, in addition to the
figures with the spectra of the individual sources which are presented as
on-line material. Accepted for publication on Astronomy and Astrophysic
Wide field CO J = 3->2 mapping of the Serpens Cloud Core
Context. Outflows provide indirect means to get an insight on diverse star
formation associated phenomena. On scales of individual protostellar cores,
outflows combined with intrinsic core properties can be used to study the mass
accretion/ejection process of heavily embedded protostellar sources. Methods.
An area comprising 460"x230" of the Serpens cloud core has been mapped in 12 CO
J = 3\to 2 with the HARP-B heterodyne array at the James Clerk Maxwell
Telescope; J = 3\to 2 observations are more sensitive tracers of hot outflow
gas than lower J CO transitions; combined with the high sensitivity of the
HARP-B receptors outflows are sharply outlined, enabling their association with
individual protostellar cores. Results. Most of ~20 observed outflows are found
to be associated with known protostellar sources in bipolar or unipolar
configurations. All but two outflow/core pairs in our sample tend to have a
projected orientation spanning roughly NW-SE. The overall momentum driven by
outflows in Serpens lies between 3.2 and 5.1 x 10^(-1) M\odot km s^(-1), the
kinetic energy from 4.3 to 6.7 x 10^(43) erg and momentum flux is between 2.8
and 4.4 x 10^(-4) M\odot km s^(-1) yr^(-1). Bolometric luminosities of
protostellar cores based on Spitzer photometry are found up to an order of
magnitude lower than previous estimations derived with IRAS/ISO data.
Conclusions. We confirm the validity of the existing correlations between the
momentum flux and bolometric luminosity of Class I sources for the homogenous
sample of Serpens, though we suggest that they should be revised by a shift to
lower luminosities. All protostars classified as Class 0 sources stand well
above the known Class I correlations, indicating a decline in momentum flux
between the two classes.Comment: 15 pages, 10 figures, accepted for publication in A&
High SiO abundance in the HH212 protostellar jet
Previous SiO maps of the innermost regions of HH212 set strong constraints on
the structure and origin of this jet. They rule out a fast wide-angle wind, and
tentatively favor a magneto-centrifugal disk wind launched out to 0.6 AU. We
aim to assess the SiO content at the base of the HH212 jet to set an
independent constraint on the location of the jet launch zone with respect to
the dust sublimation radius. We present the first sub-arcsecond (0"44x0"96) CO
map of the HH212 jet base, obtained with the IRAM Plateau de Bure
Interferometer. Combining this with previous SiO(5-4) data, we infer the
CO(2-1) opacity and mass-flux in the high-velocity jet and arrive at a much
tighter lower limit to the SiO abundance than possible from the (optically
thick) SiO emission alone. Gas-phase SiO at high velocity contains at least 10%
of the elemental silicon if the jet is dusty, and at least 40% if the jet is
dust-free, if CO and SiO have similar excitation temperatures. Such a high SiO
content is challenging for current chemical models of both dust-free winds and
dusty interstellar shocks. Updated chemical models (equatorial dust-free winds,
highly magnetized dusty shocks) and observations of higher J CO lines are
required to elucidate the dust content and launch radius of the HH212
high-velocity jet.Comment: 4 pages, 2 figure
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
One of the challenges in modeling cognitive events from electroencephalogram
(EEG) data is finding representations that are invariant to inter- and
intra-subject differences, as well as to inherent noise associated with such
data. Herein, we propose a novel approach for learning such representations
from multi-channel EEG time-series, and demonstrate its advantages in the
context of mental load classification task. First, we transform EEG activities
into a sequence of topology-preserving multi-spectral images, as opposed to
standard EEG analysis techniques that ignore such spatial information. Next, we
train a deep recurrent-convolutional network inspired by state-of-the-art video
classification to learn robust representations from the sequence of images. The
proposed approach is designed to preserve the spatial, spectral, and temporal
structure of EEG which leads to finding features that are less sensitive to
variations and distortions within each dimension. Empirical evaluation on the
cognitive load classification task demonstrated significant improvements in
classification accuracy over current state-of-the-art approaches in this field.Comment: To be published as a conference paper at ICLR 201
First evidence for molecular interfaces between outflows and ambient clouds in high-mass star-forming regions?
We present new observations of the Cep A East region of massive star formation and describe an extended and dynamically distinct feature not previously recognized. This feature is present in emission from H2CS, OCS, CH3OH, and HDO at −5.5 km s−1 but is not traced by the conventional tracers of star-forming regions, H2S, SO2, SO, and CS. The feature is extended up to at least 0.1 pc. We show that the feature is neither a hot core nor a shocked outflow. However, the chemistry of the feature is consistent with predictions from a model of an eroding interface between a fast wind and a dense core; mixing between the two media occurs in the interface on a timescale of 10–50 yr. If these observations are confirmed by detailed maps and by detections in species also predicted to be abundant (e.g., HCO+, H2CO, and NH3), this feature would be the first detection of such an interface in regions of massive star formation. An important implication of the model is that a significant reservoir of sulfur in grain mantles is required to be in the form of OCS
Molecular ions in the protostellar shock L1157-B1
We perform a complete census of molecular ions with an abundance larger than
1e-10 in the protostellar shock L1157-B1 by means of an unbiased
high-sensitivity survey obtained with the IRAM-30m and Herschel/HIFI. By means
of an LVG radiative transfer code the gas physical conditions and fractional
abundances of molecular ions are derived. The latter are compared with
estimates of steady-state abundances in the cloud and their evolution in the
shock calculated with the chemical model Astrochem. We detect emission from
HCO+, H13CO+, N2H+, HCS+, and, for the first time in a shock, from HOCO+, and
SO+. The bulk of the emission peaks at blueshifted velocity, ~ 0.5-3 km/s with
respect to systemic, has a width of ~ 4-8 km/s, and is associated with the
outflow cavities (T_kin ~ 20-70 K, n(H2) ~ 1e5 cm-3). Observed HCO+ and N2H+
abundances are in agreement with steady-state abundances in the cloud and with
their evolution in the compressed and heated gas in the shock for cosmic rays
ionization rate Z = 3e-16 s-1. HOCO+, SO+, and HCS+ observed abundances,
instead, are 1-2 orders of magnitude larger than predicted in the cloud; on the
other hand they are strongly enhanced on timescales shorter than the shock age
(~2000 years) if CO2, S or H2S, and OCS are sputtered off the dust grains in
the shock. The performed analysis indicates that HCO+ and N2H+ are a fossil
record of pre-shock gas in the outflow cavity, while HOCO+, SO+, and HCS+ are
effective shock tracers and can be used to infer the amount of CO2 and
sulphur-bearing species released from dust mantles in the shock. The observed
HCS+ (and CS) abundance indicates that OCS should be one of the main sulphur
carrier on grain mantles. However, the OCS abundance required to fit the
observations is 1-2 orders of magnitude larger than observed. Further studies
are required to fully understand the chemistry of sulphur-bearing species.Comment: 12 pages, 5 figures, accepted by A&
BCN20000: dermoscopic lesions in the wild
This article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Clínic in Barcelona. With this dataset, we aim to study the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions found in hard-to-diagnose locations (nails and mucosa), large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. The BCN20000 will be provided to the participants of the ISIC Challenge 2019 [8], where they will be asked to train algorithms to classify dermoscopic images of skin cancer automatically.Peer ReviewedPreprin
First Abundance Measurement of Organic Molecules in the Atmosphere of HH 212 Protostellar Disk
HH 212 is one of the well-studied protostellar systems, showing the first
vertically resolved disk with a warm atmosphere around the central protostar.
Here we report a detection of 9 organic molecules (including newly detected
ketene, formic acid, deuterated acetonitrile, methyl formate, and ethanol) in
the disk atmosphere, confirming that the disk atmosphere is, for HH 212, the
chemically rich component, identified before at a lower resolution as a
"hot-corino". More importantly, we report the first systematic survey and
abundance measurement of organic molecules in the disk atmosphere within
40 au of the central protostar. The relative abundances of these molecules are
similar to those in the hot corinos around other protostars and in Comet
Lovejoy. These molecules can be either (i) originally formed on icy grains and
then desorbed into gas phase or (ii) quickly formed in the gas phase using
simpler species ejected from the dust mantles. The abundances and spatial
distributions of the molecules provide strong constraints on models of their
formation and transport in star formation. These molecules are expected to form
even more complex organic molecules needed for life and deeper observations are
needed to find them.Comment: 12 pages, 4 figure
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