1,116 research outputs found
The cosmological information of shear peaks: beyond the abundance
We study the cosmological information of weak lensing (WL) peaks, focusing on
two other statistics besides their abundance: the stacked tangential-shear
profiles and the peak-peak correlation function. We use a large ensemble of
simulated WL maps with survey specifications relevant to future missions like
Euclid and LSST, to explore the three peak probes. We find that the correlation
function of peaks with high signal-to-noise (S/N) measured from fields of size
144 sq. deg. has a maximum of ~0.3 at an angular scale ~10 arcmin. For peaks
with smaller S/N, the amplitude of the correlation function decreases, and its
maximum occurs on smaller angular scales. We compare the peak observables
measured with and without shape noise and find that for S/N~3 only ~5% of the
peaks are due to large-scale structures, the rest being generated by shape
noise. The covariance matrix of the probes is examined: the correlation
function is only weakly covariant on scales < 30 arcmin, and slightly more on
larger scales; the shear profiles are very correlated for theta > 2 arcmin,
with a correlation coefficient as high as 0.7. Using the Fisher-matrix
formalism, we compute the cosmological constraints for {Om_m, sig_8, w, n_s}
considering each probe separately, as well as in combination. We find that the
correlation function of peaks and shear profiles yield marginalized errors
which are larger by a factor of 2-4 for {Om_m, sig_8} than the errors yielded
by the peak abundance alone, while the errors for {w, n_s} are similar. By
combining the three probes, the marginalized constraints are tightened by a
factor of ~2 compared to the peak abundance alone, the least contributor to the
error reduction being the correlation function. This work therefore recommends
that future WL surveys use shear peaks beyond their abundance in order to
constrain the cosmological model.Comment: 15 pages, 10 figures, submitted to MNRA
Nurses Alumni Association Bulletin, Fall 1999
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Towards optimal estimation of the galaxy power spectrum
The galaxy power spectrum encodes a wealth of information about cosmology and the matter fluctuations. Its unbiased and optimal estimation is therefore of great importance. In this paper, we generalize the framework of Feldman et al. (1994) to take into account the fact that galaxies are not simply a Poisson sampling of the underlying dark matter distribution. Besides finite survey-volume effects and flux limits, our optimal estimation scheme incorporates several of the key tenets of galaxy formation: galaxies form and reside exclusively in dark matter haloes; a given dark matter halo may host several galaxies of various luminosities; galaxies inherit part of their large-scale bias from their host halo. Under these broad assumptions, we prove that the optimal weights do not explicitly depend on galaxy luminosity, other than through defining the maximum survey volume and effective galaxy density at a given position. Instead, they depend on the bias associated with the host halo; the first and second factorial moments of the halo occupation distribution; a selection function, which gives the fraction of galaxies that can be observed in a halo of mass M at position {r} in the survey; and an effective number density of galaxies. If one wishes to reconstruct the matter power spectrum, then, provided the model is correct, this scheme provides the only unbiased estimator. The practical challenges with implementing this approach are also discussed
Nurses Alumni Association Bulletin, Fall 1998
1998-1999 Meeting Date Calendar
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What do cluster counts really tell us about the Universe?
We study the covariance matrix of the cluster mass function in cosmology. We adopt a two-line attack: first, we employ the counts-in-cells framework to derive an analytic expression for the covariance of the mass function. Secondly, we use a large ensemble of N-body simulations in the Λ cold dark matter framework to test this. Our theoretical results show that the covariance can be written as the sum of two terms: a Poisson term, which dominates in the limit of rare clusters; and a sample variance term, which dominates for more abundant clusters. Our expressions are analogous to those of Hu & Kravtsov for multiple cells and a single mass tracer. Calculating the covariance depends on: the mass function and bias of clusters, and the variance of mass fluctuations within the survey volume. The predictions show that there is a strong bin-to-bin covariance between measurements. In terms of the cross-correlation coefficient, we find r≳ 0.5 for haloes with M≲ 3 × 1014 h−1 M⊙ at z= 0. Comparison of these predictions with estimates from simulations shows excellent agreement. We use the Fisher matrix formalism to explore the cosmological information content of the counts. We compare the Poisson likelihood model, with the more realistic likelihood model of Lima & Hu, and all terms entering the Fisher matrices are evaluated using the simulations. We find that the Poisson approximation should only be used for the rarest objects, M≳ 5 × 1014 h−1 M⊙, otherwise the information content of a survey of size V∼ 13.5 h−3 Gpc3 would be overestimated, resulting in errors that are nearly two times smaller. As an auxiliary result, we show that the bias of clusters, obtained from the cluster-mass cross-variance, is linear on scales >50 h−1 Mpc, whereas that obtained from the auto-variance is non-linea
Growth and Morphological Responses to Irradiance in Three Forest Understory Species of the C4 Grass Genus Muhlenbergia
This is the publisher's version, also available electronically from: http://www.jstor.org/stable/2995468.Three species of the C4 grass genus Muhlenbergia—M. frondosa, M. sobolifera, and M. schreberi—
were collected from forest understory sites in northeastern Kansas and grown in a growth chamber at 1,500,
150, and 15-25 fjimol m~2 s - 1 photosynthetic photon flux density (PPFD). Leaf, stem, root, and total
biomasses and several morphological and anatomical characteristics were measured after 35-38 days. Results
were compared with similar measurements for M. cuspidata collected from exposed prairie sites. Although
all species grew maximally at the highest PPFD, M. sobolifera grew equally well at medium PPFD.
Few anatomical changes were correlated with changes in PPFD except leaf thickness, which increased with
increasing PPFD. The results indicate that, while the understory species of Muhlenbergia can adjust morphologically
to some extent to shaded environments, they produce more biomass at higher PPFD
Photosynthetic Responses to Irradiance in Three Forest Understory Species of the C4 Grass Genus Muhlenbergia
This is the publisher's official version, also available electronically from: http://www.jstor.org/stable/2995345Three species of the C4 grass genus Muhlenbergia—M.frondosa, M. sobolifera, and Af. schreberi—were
collected from forest understory habitats in Kansas and grown in a growth chamber at 1,500, 150, and 15-
25 |xmol m"2 s"1 photosynthetic photon flux density (PPFD). Assimilation (A), conductance to C02 , intercellular
C02 concentration, chlorophyll (chl) concentrations, and photosystem I electron-transport capacity
were determined and compared with results for Af. cuspidata, which occurs only in open, prairie areas.
All of the shade species exhibited more shade tolerance than the prairie species: they had lower maximum
A, saturation of A, and photosystem I electron transport with respect to PPFD, higher quantum yields that
increased with decreasing growth PPFD, and increasing chl concentrations with decreasing PPFD
Nurses Alumni Association Bulletin, Fall 1996
1996-1997 Meeting Dates Calendar
1997 Annual Luncheon-Meeting Notice Inside
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The President\u27s Message
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Diploma School of Nursing Alumni Association-Mabel C. Prevost Scholarship Report 1995
Women In Military Service For America Memorial Foundation
Operation Support Freedom - Humanitarian Aid to Kiev
The Best Mousetrap - Computers In Nursing
Christmas, As A Prisoner Of War
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The cosmology dependence of weak lensing cluster counts
We present the main results of a numerical study of weak lensing cluster
counting. We examine the scaling with cosmology of the projected-density-peak
mass function. Our main conclusion is that the projected-peak and the
three-dimensional mass functions scale with cosmology in an astonishingly close
way. This means that, despite being derived from a two-dimensional field, the
weak lensing cluster abundance can be used to constrain cosmology in the same
way as the three-dimensional mass function probed by other types of surveys.Comment: 4 pages, 2 figures. Accepted for publication in ApJL. Figure 1
modified, unchanged conclusion
Nurses Alumni Association Bulletin, Fall 1997
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Tribute to Tanya
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History Of The Jefferson Pin
Facts Not Fiction
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Mama Will Protect Me
Happy Birthday
Fiftieth Anniversary
Resume of Minutes of Alumni Association Meetings
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Committee Reports Bulletin By-Laws Development Diploma School of Nursing Alumni Association-Mabel C. Prevost Scholarship Fund Nominating Relief Fund Satellite Social Scholarship
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