159 research outputs found
At-Risk in the Virtual Classroom: a Handbook for Student Success
Online education, also known as the virtual classroom , has proliferated in the United States, as well as in much of the world, in the last few years. Indeed, virtual schooling is one of the fastest-growing areas in K-12 education. In its 2005 report, the National Center for Education Statistics found that 36% of all school districts had students participating in virtual courses, for a total of 300,000 students, and this number is projected to explode in the next decade. (Roblyer, 2006, p. 32). Many students who are considered at-risk are looking to the virtual classroom as an alternative to the traditional classroom where they were not successful. Yet the virtual classroom, while offering many advantages to at-risk students, also presents new challenges for this type of student. This paper will examine both the positives and negatives for the at-risk learner, and present strategies to help parents of at-risk students decide whether an online education is best for their student
Diverse Structural Evolution at z > 1 in Cosmologically Simulated Galaxies
From mock Hubble Space Telescope images, we quantify non-parametric
statistics of galaxy morphology, thereby predicting the emergence of
relationships among stellar mass, star formation, and observed rest-frame
optical structure at 1 < z < 3. We measure automated diagnostics of galaxy
morphology in cosmological simulations of the formation of 22 central galaxies
with 9.3 < log10 M_*/M_sun < 10.7. These high-spatial-resolution zoom-in
calculations enable accurate modeling of the rest-frame UV and optical
morphology. Even with small numbers of galaxies, we find that structural
evolution is neither universal nor monotonic: galaxy interactions can trigger
either bulge or disc formation, and optically bulge-dominated galaxies at this
mass may not remain so forever. Simulated galaxies with M_* > 10^10 M_sun
contain relatively more disc-dominated light profiles than those with lower
mass, reflecting significant disc brightening in some haloes at 1 < z < 2. By
this epoch, simulated galaxies with specific star formation rates below 10^-9.7
yr^-1 are more likely than normal star-formers to have a broader mix of
structural types, especially at M_* > 10^10 M_sun. We analyze a cosmological
major merger at z ~ 1.5 and find that the newly proposed MID morphology
diagnostics trace later merger stages while G-M20 trace earlier ones. MID is
sensitive also to clumpy star-forming discs. The observability time of typical
MID-enhanced events in our simulation sample is less than 100 Myr. A larger
sample of cosmological assembly histories may be required to calibrate such
diagnostics in the face of their sensitivity to viewing angle, segmentation
algorithm, and various phenomena such as clumpy star formation and minor
mergers.Comment: 23 pages, 16 figures, MNRAS accepted versio
Beyond Spheroids and Discs: Classifications of CANDELS Galaxy Structure at 1.4 < z < 2 via Principal Component Analysis
Important but rare and subtle processes driving galaxy morphology and
star-formation may be missed by traditional spiral, elliptical, irregular or
S\'ersic bulge/disk classifications. To overcome this limitation, we use a
principal component analysis of non-parametric morphological indicators
(concentration, asymmetry, Gini coefficient, , multi-mode, intensity
and deviation) measured at rest-frame -band (corresponding to HST/WFC3 F125W
at 1.4 ) galaxy morphologies. Principal component analysis (PCA) quantifies
the correlations between these morphological indicators and determines the
relative importance of each. The first three principal components (PCs) capture
75 per cent of the variance inherent to our sample. We interpret the
first principal component (PC) as bulge strength, the second PC as dominated by
concentration and the third PC as dominated by asymmetry. Both PC1 and PC2
correlate with the visual appearance of a central bulge and predict galaxy
quiescence. PC1 is a better predictor of quenching than stellar mass, as as
good as other structural indicators (S\'ersic-n or compactness). We divide the
PCA results into groups using an agglomerative hierarchical clustering method.
Unlike S\'ersic, this classification scheme separates compact galaxies from
larger, smooth proto-elliptical systems, and star-forming disk-dominated clumpy
galaxies from star-forming bulge-dominated asymmetric galaxies. Distinguishing
between these galaxy structural types in a quantitative manner is an important
step towards understanding the connections between morphology, galaxy assembly
and star-formation.Comment: 31 pages, 24 figures, accepted for publication in MNRA
Photometric redshifts and quasar probabilities from a single, data-driven generative model
We describe a technique for simultaneously classifying and estimating the
redshift of quasars. It can separate quasars from stars in arbitrary redshift
ranges, estimate full posterior distribution functions for the redshift, and
naturally incorporate flux uncertainties, missing data, and multi-wavelength
photometry. We build models of quasars in flux-redshift space by applying the
extreme deconvolution technique to estimate the underlying density. By
integrating this density over redshift one can obtain quasar flux-densities in
different redshift ranges. This approach allows for efficient, consistent, and
fast classification and photometric redshift estimation. This is achieved by
combining the speed obtained by choosing simple analytical forms as the basis
of our density model with the flexibility of non-parametric models through the
use of many simple components with many parameters. We show that this technique
is competitive with the best photometric quasar classification
techniques---which are limited to fixed, broad redshift ranges and high
signal-to-noise ratio data---and with the best photometric redshift techniques
when applied to broadband optical data. We demonstrate that the inclusion of UV
and NIR data significantly improves photometric quasar--star separation and
essentially resolves all of the redshift degeneracies for quasars inherent to
the ugriz filter system, even when included data have a low signal-to-noise
ratio. For quasars spectroscopically confirmed by the SDSS 84 and 97 percent of
the objects with GALEX UV and UKIDSS NIR data have photometric redshifts within
0.1 and 0.3, respectively, of the spectroscopic redshift; this amounts to about
a factor of three improvement over ugriz-only photometric redshifts. Our code
to calculate quasar probabilities and redshift probability distributions is
publicly available
The SDSS-III Baryon Oscillation Spectroscopic Survey: Quasar Target Selection for Data Release Nine
The SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS), a five-year
spectroscopic survey of 10,000 deg^2, achieved first light in late 2009. One of
the key goals of BOSS is to measure the signature of baryon acoustic
oscillations in the distribution of Ly-alpha absorption from the spectra of a
sample of ~150,000 z>2.2 quasars. Along with measuring the angular diameter
distance at z\approx2.5, BOSS will provide the first direct measurement of the
expansion rate of the Universe at z > 2. One of the biggest challenges in
achieving this goal is an efficient target selection algorithm for quasars over
2.2 < z < 3.5, where their colors overlap those of stars. During the first year
of the BOSS survey, quasar target selection methods were developed and tested
to meet the requirement of delivering at least 15 quasars deg^-2 in this
redshift range, out of 40 targets deg^-2. To achieve these surface densities,
the magnitude limit of the quasar targets was set at g <= 22.0 or r<=21.85.
While detection of the BAO signature in the Ly-alpha absorption in quasar
spectra does not require a uniform target selection, many other astrophysical
studies do. We therefore defined a uniformly-selected subsample of 20 targets
deg^-2, for which the selection efficiency is just over 50%. This "CORE"
subsample will be fixed for Years Two through Five of the survey. In this paper
we describe the evolution and implementation of the BOSS quasar target
selection algorithms during the first two years of BOSS operations. We analyze
the spectra obtained during the first year. 11,263 new z>2.2 quasars were
spectroscopically confirmed by BOSS. Our current algorithms select an average
of 15 z > 2.2 quasars deg^-2 from 40 targets deg^-2 using single-epoch SDSS
imaging. Multi-epoch optical data and data at other wavelengths can further
improve the efficiency and completeness of BOSS quasar target selection.
[Abridged]Comment: 33 pages, 26 figures, 12 tables and a whole bunch of quasars.
Submitted to Ap
Galaxy Zoo: CANDELS barred discs and bar fractions
The formation of bars in disc galaxies is a tracer of the dynamical maturity of the population. Previous studies have found that the incidence of bars in discs decreases from the local Universe to z ~ 1, and by z > 1 simulations predict that bar features in dynamically mature discs should be extremely rare. Here, we report the discovery of strong barred structures in massive disc galaxies at z ~ 1.5 in deep rest-frame optical images from the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey. From within a sample of 876 disc galaxies identified by visual classification in Galaxy Zoo, we identify 123 barred galaxies. Selecting a subsample within the same region of the evolving galaxy luminosity function (brighter than L*), we find that the bar fraction across the redshift range 0.5 †z †2 (fbar = 10.7+6.3 -3.5 per cent after correcting for incompleteness) does not significantly evolve.We discuss the implications of this discovery in the context of existing simulations and our current understanding of the way disc galaxies have evolved over the last 11 billion yearsPeer reviewedFinal Accepted Versio
Major merging history in CANDELS. I. Evolution of the incidence of massive galaxyâgalaxy pairs from z = 3 to z ⌠0
The rate of major galaxyâgalaxy merging is theoretically predicted to steadily increase with redshift during the peak epoch of massive galaxy development (1 †z †3). We use close-pair statistics to objectively study the incidence of massive galaxies (stellar M1 > 2 Ă 1010âMâ) hosting major companions (1 †M1/M2 †4; i.e. 4:1) companions at z > 1. We show that these evolutionary trends are statistically robust to changes in companion proximity. We find disagreements between published results are resolved when selection criteria are closely matched. If we compute merger rates using constant fraction-to-rate conversion factors (Cmerg,pair = 0.6 and Tobs,pair = 0.65âGyr), we find that MR rates disagree with theoretical predictions at z > 1.5. Instead, if we use an evolving Tobs,pair(z) â (1 + z)â2 from Snyder et al., our MR-based rates agree with theory at 0 < z < 3. Our analysis underscores the need for detailed calibration of Cmerg,pair and Tobs,pair as a function of redshift, mass, and companion selection criteria to better constrain the empirical major merger history
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