6,523 research outputs found
Combining spectroscopic and photometric surveys using angular cross-correlations II: Parameter constraints from different physical effects
Future spectroscopic and photometric surveys will measure accurate positions
and shapes of an increasing number of galaxies. In the previous paper of this
series we studied the effects of Redshift Space Distortions (RSD), baryon
acoustic oscillations (BAO) and Weak gravitational Lensing (WL) using angular
cross-correlation. Here, we provide a new forecast that explores the
contribution of including different observables, physical effects (galaxy bias,
WL, RSD, BAO) and approximations (non-linearities, Limber approximation,
covariance between probes). The radial information is included by using the
cross-correlation of separate narrow redshift bins. For the auto correlation
the separation of galaxy pairs is mostly transverse, while the
cross-correlations also includes a radial component. We study how this
information adds to our figure of merit (FoM), which includes the dark energy
equation of state and the growth history, parameterized by . We
show that the Limber approximation and galaxy bias are the most critical
ingredients to the modelling of correlations. Adding WL increases our FoM by
4.8, RSD by 2.1 and BAO by 1.3. We also explore how overlapping surveys perform
under the different assumption and for different figures of merit. Our
qualitative conclusions depend on the survey choices and scales included, but
we find some clear tendencies that highlight the importance of combining
different probes and can be used to guide and optimise survey strategies
Unimodular Trees versus Einstein Trees
The maximally helicity violating (MHV) tree level scattering amplitudes
involving three, four or five gravitons are worked out in Unimodular Gravity.
They are found to coincide with the corresponding amplitudes in General
Relativity. This a remarkable result, insofar as both the propagators and the
vertices are quite different in both theories.Comment: 20 pages, 5 figure
Modeling the angular correlation function and its full covariance in Photometric Galaxy Surveys
Near future cosmology will see the advent of wide area photometric galaxy
surveys, like the Dark Energy Survey (DES), that extent to high redshifts (z ~
1 - 2) but with poor radial distance resolution. In such cases splitting the
data into redshift bins and using the angular correlation function ,
or the power spectrum, will become the standard approach to extract
cosmological information or to study the nature of dark energy through the
Baryon Acoustic Oscillations (BAO) probe. In this work we present a detailed
model for at large scales as a function of redshift and bin width,
including all relevant effects, namely nonlinear gravitational clustering,
bias, redshift space distortions and photo-z uncertainties. We also present a
model for the full covariance matrix characterizing the angular correlation
measurements, that takes into account the same effects as for and
also the possibility of a shot-noise component and partial sky coverage.
Provided with a large volume N-body simulation from the MICE collaboration we
built several ensembles of mock redshift bins with a sky coverage and depth
typical of forthcoming photometric surveys. The model for the angular
correlation and the one for the covariance matrix agree remarkably well with
the mock measurements in all configurations. The prospects for a full shape
analysis of at BAO scales in forthcoming photometric surveys such
as DES are thus very encouraging.Comment: 23 pages, 21 figures Revised version accepted by MNRAS. Description
of mocks re-structured. Mocks including redshift distortions and Photo-z
publicly available at http://www.ice.cat/mic
Cosmological constraints from multiple tracers in spectroscopic surveys
We use the Fisher matrix formalism to study the expansion and growth history
of the Universe using galaxy clustering with 2D angular cross-correlation
tomography in spectroscopic or high resolution photometric redshift surveys.
The radial information is contained in the cross correlations between narrow
redshift bins. We show how multiple tracers with redshift space distortions
cancel sample variance and arbitrarily improve the constraints on the dark
energy equation of state and the growth parameter in the
noiseless limit. The improvement for multiple tracers quickly increases with
the bias difference between the tracers, up to a factor in
. We model a magnitude limited survey with realistic
density and bias using a conditional luminosity function, finding a factor
1.3-9.0 improvement in -- depending on global
density -- with a split in a halo mass proxy. Partly overlapping redshift bins
improve the constraints in multiple tracer surveys a factor in
. This findings also apply to photometric surveys,
where the effect of using multiple tracers is magnified. We also show large
improvement on the FoM with increasing density, which could be used as a
trade-off to compensate some possible loss with radial resolution.Comment: 20 pages, 15 figure
The Business Cycles of Balance-of-Payment Crises: A Revision of Mundellan Framework
In his seminal 1960 article Robert Mundell proposed a model of balance-of-payments crises in which confidence in the continuation of a currency peg depended on the observed holdings of central bank foreign reserves. We examine the implications of a reformulation of this view from the perspective of an equilibrium business cycle model in which the probability of devaluation is an endogenous variable conditioned on foreign reserves. The model explains some business cycle regularities of exchange-rate-based stabilizations while also producing devaluation probabilities that capture some features of devaluation probabilities estimated in the data. The analysis aims to explain both the real effects and the collapse of temporary fixed-exchange-rate regimes in an unified framework, and provides an economic interpretation for the evidence that foreign reserves are a robust leading indicator of currency crises.
Devaluation Risk and the Syndrome of Exchange-Rate-Based Stabilizations
This paper shows that the risk of devaluation can be an important factor accounting for the stylized facts of exchange-rate-based stabilizations. This conclusion follows from studying the quantitative implications of a two-sector equilibrium business cycle model of a small open economy calibrated to Mexico's 1987-1994 stabilization plan. In the model a time-variant interest rate differential that acts as a stochastic tax on money demand, labor supply, investment, and saving. Under incomplete markets, this tax induces endogenous state-contingent wealth effects via fiscal adjustment and suboptimal investment. Devaluation risk entails large welfare costs in this environment.
Interactions between Eriosyce villicumensis (Cactaceae) and shrubs: a study case in the hyper arid Monte desert of Argentina
Se estudió la distribución espacial intraespecífica e interespecífica de Eriosyce villicumensis (Rausch) Katt. en tres unidades fisiográficas y a microescala bajo los arbustos. Se analizó la influencia de los arbustos en la radiación fotosintéticamente activa y temperatura del suelo. La distribución intraespecífica de E. villicumensis resultó aleatoria. La distribución interespecífica estuvo asociada con Larrea cuneifolia y/o Zuccagnia punctata, observándose disminución de asociación desde el centro al borde de los arbustos, coincidiendo con los gradientes de luz y temperatura detectados bajo los arbustos. En ambientes desérticos, la interacción entre especies es una estrategia que permite la supervivencia de varias especies.The spatial intraspecific and interspecific distribution of Eriosyce villicumensis (Rausch) Katt. was studied in three physiographic units and at micro-scale under shrubs. The influence of shrubs on photosynthetically active radiation and on soil temperature was analyzed. The intraspecific distribution of E. villicumensis was random. The interspecific distribution was highly associated with Larrea cuneifolia and/or Zuccagnia punctata, observing decreasing association from the centre toward the edge of shrub canopies, coinciding with both the light and temperature gradients detected under those shrubs. In desert environments, the interaction between species is a strategy that allows survival of several plants.Fil: Almiron, Martin Guillermo. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martinez Carretero, Eduardo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentin
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