367 research outputs found
High-contrast spectroscopy of SCR J1845-6357 B
Spectral characterization of sub-stellar companions is essential to
understand their composition and formation processes. However, the large
contrast ratio of the brightness of each object to that of its parent star
limits our ability to extract a clean spectrum, free from any significant
contribution from the star. During the development of the long slit
spectroscopy (LSS) mode of IRDIS, the dual-band imager and spectrograph of
SPHERE, we proposed a data analysis method to estimate and remove the
contributions of the stellar spectrum. This method has never been tested on
real data because of the lack of instrumentation capable of combining adaptive
optics (AO), coronagraphy, and LSS. Nonetheless, a similar attenuation of the
star can be obtained using a particular observing configuration. Test data were
acquired using the AO-assisted spectrograph VLT/NACO. We obtained new J- and
H-band spectra of SCR J1845-6357 B, a T6 companion to a nearby (3.85\pm0.02 pc)
M8 star. This system is a well-suited benchmark as it is relatively wide
(~1.0") with a modest contrast ratio (~4 mag), and a previously published JHK
spectrum is available for reference. We demonstrate that (1) our method is
efficient at estimating and removing the stellar contribution, (2) it allows to
properly recover the spectral shape of the companion, and (3) it is essential
to obtain an unbiased estimation of physical parameters. We also show that the
slit configuration associated with this method allows us to use long exposure
times with high throughput producing high signal-to-noise ratio data. However,
the signal of the companion gets over-subtracted, particularly in our J-band
data, compelling us to use a fake companion spectrum to estimate and compensate
for the loss of flux. Finally, we report a new astrometric measurement of the
position of the companion (sep = 0.817", PA = 227.92 deg).Comment: 11 pages, 8 figures, 4 tables. Accepted for publication in A&
The Empirical Mass-Luminosity Relation for Low Mass Stars
This work is devoted to improving empirical mass-luminosity relations and
mass-metallicity-luminosity relation for low mass stars. For these stars,
observational data in the mass-luminosity plane or the
mass-metallicity-luminosity space subject to non-negligible errors in all
coordinates with different dimensions. Thus a reasonable weight assigning
scheme is needed for obtaining more reliable results. Such a scheme is
developed, with which each data point can have its own due contribution.
Previous studies have shown that there exists a plateau feature in the
mass-luminosity relation. Taking into account the constraints from the
observational luminosity function, we find by fitting the observational data
using our weight assigning scheme that the plateau spans from 0.28 to 0.50
solar mass. Three-piecewise continuous improved mass-luminosity relations in K,
J, H and V bands, respectively, are obtained. The visual
mass-metallicity-luminosity relation is also improved based on our K band
mass-luminosity relation and the available observational metallicity data.Comment: 8 pages, 2 figures. Accepted for publication in Astrophysics & Space
Scienc
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A Short and Engaging Adaptive Working-Memory Intervention for Children with Developmental Language Disorder: Effects on Language and Working Memory
Recent research has suggested that working-memory training interventions may benefit children with developmental language disorder (DLD). The current study investigated a short and engaging adaptive working-memory intervention that targeted executive skills and aimed to improve both language comprehension and working-memory abilities in children with DLD. Forty-seven 6- to 10-year-old children with DLD were randomly allocated to an executive working-memory training intervention (n = 24) or an active control group (n = 23). A pre-test/intervention/post-test/9-month-follow-up design was used. Outcome measures included assessments of language (to evaluate far transfer of the training) and working memory (to evaluate near transfer of the training). Hierarchical multiple regression analyses controlling for pre-intervention performance and age found the group to be a significant predictor of sentence comprehension and of performance on six untrained working-memory measures at post-intervention and 9-month follow-up. Children in the intervention group showed significantly higher language comprehension and working-memory scores at both time points than children in the active control group. The intervention programme showed the potential to improve working memory and language comprehension in children with DLD and demonstrated several advantages: it involved short sessions over a short period, caused little disruption in the school day, and was enjoyed by children
Towards a fully consistent Milky Way disc model: Part 1 The local model based on kinematic and photometric data
We present a fully consistent evolutionary disc model of the solar cylinder.
The model is based on a sequence of stellar sub-populations described by the
star formation history (SFR) and the dynamical heating law (given by the
age-velocity dispersion relation AVR). The combination of kinematic data from
Hipparcos and the finite lifetimes of main sequence (MS) stars enables us to
determine the detailed vertical disc structure independent of individual
stellar ages and only weakly dependent on the IMF. The disc parameters are
determined by applying a sophisticated best fit algorithm to the MS star
velocity distribution functions in magnitude bins. We find that the AVR is well
constrained by the local kinematics, whereas for the SFR the allowed range is
larger. A simple chemical enrichment model is included in order to fit the
local metallicity distribution of G dwarfs. In our favoured model A the power
law index of the AVR is 0.375 with a minimum and maximum velocity dispersion of
5.1 km/s and 25.0 km/s, respectively. The SFR shows a maximum 10 Gyr ago and
declines by a factor of four to the present day value of 1.5 M_sun/pc^2/Gyr. A
best fit of the IMF leads to power-law indices of -1.46 below and -4.16 above
1.72 M_sun avoiding a kink at 1 M_sun. An isothermal thick disc component with
local density of ~6% of the stellar density is included. A thick disc
containing more than 10% of local stellar mass is inconsistent with the local
kinematics of K and M dwarfs.Comment: 20 pages, 18 figs., accepted by MNRA
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Response to 'No Evidence Against Sketch Reinstatement of Context, Verbal Labels or Registered Intermediaries'
Fine-tuning language models to find agreement among humans with diverse preferences
Recent work in large language modeling (LLMs) has used fine-tuning to align
outputs with the preferences of a prototypical user. This work assumes that
human preferences are static and homogeneous across individuals, so that
aligning to a a single "generic" user will confer more general alignment. Here,
we embrace the heterogeneity of human preferences to consider a different
challenge: how might a machine help people with diverse views find agreement?
We fine-tune a 70 billion parameter LLM to generate statements that maximize
the expected approval for a group of people with potentially diverse opinions.
Human participants provide written opinions on thousands of questions touching
on moral and political issues (e.g., "should we raise taxes on the rich?"), and
rate the LLM's generated candidate consensus statements for agreement and
quality. A reward model is then trained to predict individual preferences,
enabling it to quantify and rank consensus statements in terms of their appeal
to the overall group, defined according to different aggregation (social
welfare) functions. The model produces consensus statements that are preferred
by human users over those from prompted LLMs (>70%) and significantly
outperforms a tight fine-tuned baseline that lacks the final ranking step.
Further, our best model's consensus statements are preferred over the best
human-generated opinions (>65%). We find that when we silently constructed
consensus statements from only a subset of group members, those who were
excluded were more likely to dissent, revealing the sensitivity of the
consensus to individual contributions. These results highlight the potential to
use LLMs to help groups of humans align their values with one another
The Iron abundance in Galactic Planetary Nebulae
We constrain the iron abundance in a sample of 33 low-ionization Galactic
planetary nebulae (PNe) using [Fe III] lines and correcting for the
contribution of higher ionization states with ionization correction factors
(ICFs) that take into account uncertainties in the atomic data. We find very
low iron abundances in all the objects, suggesting that more than 90% of their
iron atoms are condensed onto dust grains. This number is based on the solar
iron abundance and implies a lower limit on the dust-to-gas mass ratio, due
solely to iron, of M_dust/M_gas>1.3x10^{-3} for our sample. The depletion
factors of different PNe cover about two orders of magnitude, probably
reflecting differences in the formation, growth, or destruction of their dust
grains. However, we do not find any systematic difference between the gaseous
iron abundances calculated for C-rich and O-rich PNe, suggesting similar iron
depletion efficiencies in both environments. The iron abundances of our sample
PNe are similar to those derived following the same procedure for a group of 10
Galactic H II regions. These high depletion factors argue for high depletion
efficiencies of refractory elements onto dust grains both in molecular clouds
and AGB stars, and low dust destruction efficiencies both in interstellar and
circumstellar ionized gas.Comment: Accepted for publication in ApJ. 15 pages, 4 Postscript figures,
corrected typos, Tables 2 and 3 correcte
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Executive functioning, motor difficulties and developmental coordination disorder
The current study assessed a comprehensive range of executive functions (EFs) in children with poor motor skills, comparing profiles of children with a diagnosis of developmental coordination disorder (DCD) and those identified with motor difficulties (MD). Children in both groups performed more poorly than typically-developing controls on nonverbal measures of working memory, inhibition, planning and fluency, but not on tests of switching. The similar patterns of strengths and weaknesses in children with MD and DCD have important implications for parents, teachers and clinicians, as children with MD may struggle with EF tasks even though their motor difficulties are not identified
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Eyewitness identification in child witnesses on the autism spectrum
Background. Although there is increasing interest in the capabilities of children with autism at different stages of the criminal justice process, there is little research into how well this group perform when asked to identify perpetrators from identification lineups. This is despite theoretical and empirical literature suggesting that autistic children experience face recognition memory difficulties.
Method. As part of a broader study into eyewitness memory skills, 50 children with autism and 162 children with typical development (TD) (all with IQs > 69) watched a mock crime event (either live or on a video) involving two male perpetrators. One week later, their eyewitness identification skills were compared, with children asked to identify the perpetrators from two ecologically valid video lineups. The children were also assessed on a standardised face memory task.
Results. When asked to identify perpetrators in the video lineups, in many respects the autistic children performed at an equivalent level to the TD children. This was despite the TD children outperforming the autistic children on the standardized face memory task.
Conclusions. These preliminary findings suggest that group differences between autistic and TD children may not always emerge on an ecologically valid, real world eyewitness identification lineup task, despite autistic children showing poorer performance on a standardized face memory task. However, as identification performance in both groups was low, it remains important for future research to identify how to scaffold eyewitness identification performance in both children with and without an autism diagnosis
PG 1115+080: variations of the A2/A1 flux ratio and new values of the time delays
We report the results of our multicolor observations of PG 1115+080 with the
1.5-m telescope of the Maidanak Observatory (Uzbekistan, Central Asia) in
2001-2006. Monitoring data in filter R spanning the 2004, 2005 and 2006 seasons
(76 data points) demonstrate distinct brightness variations of the source
quasar with the total amplitude of almost 0.4 mag. Our R light curves have
shown image C leading B by 16.4d and image (A1+A2) by 12d that is inconsistent
with the previous estimates obtained by Schechter et al. in 1997 - 24.7d
between B and C and 9.4d between (A1+A2) and C. The new values of time delays
in PG 1115+080 must result in larger values for the Hubble constant, thus
reducing difference between its estimates taken from the gravitational lenses
and with other methods. Also, we analyzed variability of the A2/A1 flux ratio,
as well as color changes in the archetypal "fold" lens PG 1115+080. We found
the A1/A2 flux ratio to grow during 2001-2006 and to be larger at longer
wavelengths. In particular, the A2/A1 flux ratio reached 0.85 in filter I in
2006. We also present evidence that both the A1 and A2 images might have
undergone microlensing during 2001-2006, with the descending phase for A1 and
initial phase for A2. We find that the A2/A1 flux ratio anomaly in PG 1115 can
be well explained both by microlensing and by finite distance of the source
quasar from the caustic fold.Comment: 14 pages, 7 figures, 8 tables, Accepted for publication in MNRA
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