3,104 research outputs found
Advances in prevention and therapy of neonatal dairy calf diarrhoea : a systematical review with emphasis on colostrum management and fluid therapy
Neonatal calf diarrhoea remains the most common cause of morbidity and mortality in preweaned dairy calves worldwide. This complex disease can be triggered by both infectious and non-infectious causes. The four most important enteropathogens leading to neonatal dairy calf diarrhoea are Escherichia coli, rota-and coronavirus, and Cryptosporidium parvum. Besides treating diarrhoeic neonatal dairy calves, the veterinarian is the most obvious person to advise the dairy farmer on prevention and treatment of this disease. This review deals with prevention and treatment of neonatal dairy calf diarrhoea focusing on the importance of a good colostrum management and a correct fluid therapy
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Payment instruments, finance and development
This paper studies the effects of a payment technology innovation (mobile money) on entrepreneurship and economic development in a quantitative dynamic general equilibrium model. In the model mobile money dominates fiat money as a medium of exchange, since it avoids the risk of theft, but comes with electronic transaction costs. We show that entrepreneurs with higher productivity and access to trade credit are more likely to adopt mobile money as a payment instrument vis-a-vis suppliers. Calibrating the stationary equilibrium of the model to match firm-level data from Kenya, we show significant quantitative implications of mobile money for entrepreneurial growth and macroeconomic development
DESI Mock Challenge: Halo and galaxy catalogs with the bias assignment method
We present a novel approach to the construction of mock galaxy catalogues for
large-scale structure analysis based on the distribution of dark matter halos
obtained with effective bias models at the field level. We aim to produce mock
galaxy catalogues capable of generating accurate covariance matrices for a
number of cosmological probes that are expected to be measured in current and
forthcoming galaxy redshift surveys (e.g. two- and three-point statistics). We
use the bias assignment method (BAM) to model the statistics of halo
distribution through a learning algorithm using a few detailed -body
simulations, and approximated gravity solvers based on Lagrangian perturbation
theory. Using specific models of halo occupation distributions, we generate
galaxy mocks with the expected number density and central-satellite fraction of
emission-line galaxies, which are a key target of the DESI experiment. BAM
generates mock catalogues with per cent accuracy in a number of summary
statistics, such as the abundance, the two- and three-point statistics of halo
distributions, both in real and redshift space. In particular, the mock galaxy
catalogues display accuracy in the multipoles of the power
spectrum up to scales of . We show that covariance
matrices of two- and three-point statistics obtained with BAM display a similar
structure to the reference simulation. BAM offers an efficient way to produce
mock halo catalogues with accurate two- and three-point statistics, and is able
to generate a variety of multi-tracer catalogues with precise covariance
matrices of several cosmological probes. We discuss future developments of the
algorithm towards mock production in DESI and other galaxy-redshift surveys.
(Abridged)Comment: Accepted for publication at A&
Intrinsic alignment as an RSD contaminant in the DESI survey
We measure the tidal alignment of the major axes of luminous red galaxies (LRGs) from the Legacy Imaging Survey and use it to infer the artificial redshift-space distortion signature that will arise from an orientation-dependent, surface-brightness selection in the Dark Energy Spectroscopic Instrument (DESI) survey. Using photometric redshifts to downweight the shape–density correlations due to weak lensing, we measure the intrinsic tidal alignment of LRGs. Separately, we estimate the net polarization of LRG orientations from DESI’s fibre-magnitude target selection to be of order 10-2 along the line of sight. Using these measurements and a linear tidal model, we forecast a 0.5 per cent fractional decrease on the quadrupole of the two-point correlation function for projected separations of 40–80 h-1 Mpc. We also use a halo catalogue from the ABACUSSUMMIT cosmological simulation suite to reproduce this false quadrupole
Intrinsic Alignment as an RSD Contaminant in the DESI Survey
We measure the tidal alignment of the major axes of Luminous Red Galaxies
(LRGs) from the Legacy Imaging Survey and use it to infer the artificial
redshift-space distortion signature that will arise from an
orientation-dependent, surface-brightness selection in the Dark Energy
Spectroscopic Instrument (DESI) survey. Using photometric redshifts to
down-weight the shape-density correlations due to weak lensing, we measure the
intrinsic tidal alignment of LRGs. Separately, we estimate the net polarization
of LRG orientations from DESI's fiber-magnitude target selection to be of order
10^-2 along the line of sight. Using these measurements and a linear tidal
model, we forecast a 0.2% fractional decrease on the quadrupole of the 2-point
correlation function for projected separations of 40-80 Mpc/h. We also use a
halo catalog from the Abacus Summit cosmological simulation suite to reproduce
this false quadrupole.Comment: 13 pages, 13 figures. Submitted to MNRAS. For an accessible summary
of this paper, see https://cmlamman.github.io/doc/fakeRSD_summary.pd
Planting a Lyman alpha forest on AbacusSummit
The full-shape correlations of the Lyman alpha (Ly α) forest contain a wealth of cosmological information through the Alcock-Paczyński effect. However, these measurements are challenging to model without robustly testing and verifying the theoretical framework used for analysing them. Here, we leverage the accuracy and volume of the N-body simulation suite AbacusSummit to generate high-resolution Ly α skewers and quasi-stellar object (QSO) catalogues. One of the main goals of our mocks is to aid in the full-shape Ly α analysis planned by the Dark Energy Spectroscopic Instrument (DESI) team. We provide optical depth skewers for six of the fiducial cosmology base-resolution simulations (, N = 69123) at z = 2.5. We adopt a simple recipe based on the Fluctuating Gunn-Peterson Approximation (FGPA) for constructing these skewers from the matter density in an N-body simulation and calibrate it against the 1D and 3D Ly α power spectra extracted from the hydrodynamical simulation IllustrisTNG (TNG;, N = 25003). As an important application, we study the non-linear broadening of the baryon acoustic oscillation (BAO) peak and show the cross-correlation between DESI-like QSOs and our Ly α forest skewers. We find differences on small scales between the Kaiser approximation prediction and our mock measurements of the Ly α × QSO cross-correlation, which would be important to account for in upcoming analyses. The AbacusSummit Ly α forest mocks open up the possibility for improved modelling of cross-correlations between Ly α and cosmic microwave background (CMB) lensing and Ly α and QSOs, and for forecasts of the 3-point Ly α correlation function. Our catalogues and skewers are publicly available on Globus via the National Energy Research Scientific Computing Center (NERSC) (full link under the section 'Data Availability')
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Inflation and Dark Energy from spectroscopy at z > 2
The expansion of the Universe is understood to have accelerated during two
epochs: in its very first moments during a period of Inflation and much more
recently, at z < 1, when Dark Energy is hypothesized to drive cosmic
acceleration. The undiscovered mechanisms behind these two epochs represent
some of the most important open problems in fundamental physics. The large
cosmological volume at 2 < z < 5, together with the ability to efficiently
target high- galaxies with known techniques, enables large gains in the
study of Inflation and Dark Energy. A future spectroscopic survey can test the
Gaussianity of the initial conditions up to a factor of ~50 better than our
current bounds, crossing the crucial theoretical threshold of
of order unity that separates single field and
multi-field models. Simultaneously, it can measure the fraction of Dark Energy
at the percent level up to , thus serving as an unprecedented test of
the standard model and opening up a tremendous discovery space
Measurement of the top quark mass using the matrix element technique in dilepton final states
We present a measurement of the top quark mass in pp¯ collisions at a center-of-mass energy of 1.96 TeV at the Fermilab Tevatron collider. The data were collected by the D0 experiment corresponding to an integrated luminosity of 9.7 fb−1. The matrix element technique is applied to tt¯ events in the final state containing leptons (electrons or muons) with high transverse momenta and at least two jets. The calibration of the jet energy scale determined in the lepton+jets final state of tt¯ decays is applied to jet energies. This correction provides a substantial reduction in systematic uncertainties. We obtain a top quark mass of mt=173.93±1.84 GeV
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