7 research outputs found
Galaxy redshift surveys selected by neutral hydrogen using FAST
We discuss the possibility of performing a substantial spectroscopic galaxy
redshift survey selected via the 21cm emission from neutral hydrogen using the
Five-hundred metre Aperture Spherical Telescope (FAST) to be built in China. We
consider issues related to the estimation of the source counts and
optimizations of the survey, and discuss the constraints on cosmological models
that such a survey could provide. We find that a survey taking around two years
could detect ~10^7 galaxies with an average redshift of ~0.15 making the survey
complementary to those already carried out at optical wavelengths. These
conservative estimates have used the z=0 HI mass function and have ignored the
possibility of evolution. The results could be used to constrain Gamma =
(Omega_m h) to 5 per cent and the spectral index, n_s, to 7 per cent
independent of cosmic microwave background data. If we also use simulated power
spectra from the Planck satellite, we can constrain w to be within 5 per cent
of -1.Comment: 13 pages, 15 figures, Accepted by MNRAS, minor correction
Analysing Large Scale Structure: I. Weighted Scaling Indices and Constrained Randomisation
The method of constrained randomisation is applied to three-dimensional
simulated galaxy distributions. With this technique we generate for a given
data set surrogate data sets which have the same linear properties as the
original data whereas higher order or nonlinear correlations are not preserved.
The analysis of the original and surrogate data sets with measures, which are
sensitive to nonlinearities, yields information about the existence of
nonlinear correlations in the data. We demonstrate how to generate surrogate
data sets from a given point distribution, which have the same linear
properties (power spectrum) as well as the same density amplitude distribution.
We propose weighted scaling indices as a nonlinear statistical measure to
quantify local morphological elements in large scale structure. Using
surrogates is is shown that the data sets with the same 2-point correlation
functions have slightly different void probability functions and especially a
different set of weighted scaling indices. Thus a refined analysis of the large
scale structure becomes possible by calculating local scaling properties
whereby the method of constrained randomisation yields a vital tool for testing
the performance of statistical measures in terms of sensitivity to different
topological features and discriminative power.Comment: 10 pages, 5 figures, accepted for publication in MNRA
Interventions that address institutional child maltreatment: an evidence and gap map.
Purpose: This evidence and gap map collates evidence reporting on the effectiveness of interventions aimed to prevent, disclose, respond to, or treat child maltreatment occurring in institutional settings.
Methods: A comprehensive and systematic literature search identified primary studies and systematic reviews meeting the review’s eligibility criteria. Literature screening, data extraction and critical appraisals were undertaken independently by multiple reviewers. Data extracted and reported from the included studies included information about the institutional setting, target population, type of maltreatment, intervention type and outcomes.
Results: Seventy-three studies were identified, including 11 systematic reviews and 62 primary studies. Overall, the methodological quality of the studies was low to moderate. Most evaluated curriculum-based interventions delivered in educational settings, primarily aimed at preventing sexual abuse. Fewer studies examined other institutional settings or intervention types.
Conclusions: This review highlights a need for high-quality studies evaluating a more diverse range of interventions across more varied institutional contexts