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We analyse the full shape of anisotropic clustering measurements from the extended Baryon Oscillation Spectroscopic Survey quasar sample together with the combined galaxy sample from the Baryon Oscillation Spectroscopic Survey. We obtain constraints on the cosmological parameters independent of the Hubble parameter h for the extensions of the Lambda cold dark matter (ΛCDM) models, focusing on cosmologies with free dark energy equation of state parameter w. We combine the clustering constraints with those from the latest cosmic microwave background data from Planck to obtain joint constraints for these cosmologies for w and the additional extension parameters – its time evolution w a, the physical curvature density ω K and the neutrino mass sum ∑ m ν. Our joint constraints are consistent with a flat ΛCDM cosmological model within 68  per cent confidence limits. We demonstrate that the Planck data are able to place tight constraints on the clustering amplitude today, σ12, in cosmologies with varying w and present the first constraints for the clustering amplitude for such cosmologies, which is found to be slightly higher than the ΛCDM value. Additionally, we show that when we vary w and allow for non-flat cosmologies and the physical curvature density is used, Planck prefers a curved universe at 4σ significance, which is ∼2σ higher than when using the relative curvature density ΩK. Finally, when w is varied freely, clustering provides only a modest improvement (of 0.021 eV) on the upper limit of ∑ m ν. [ABSTRACT FROM AUTHOR]

Tells are multi-layered, archaeological mounds representing anthropogenic landforms common in arid regions. In such contexts, the preservation of the archaeological record is mined by ongoing climate changes, shift in land use, and intense human overgrazing. Such natural and human-driven factors tune the response of archaeological soils and sediments to erosion. Geomorphology offers a plethora of tools for mapping natural and anthropogenic landforms and evaluating their response to unremitting weathering, erosional and depositional processes. Here, we present a geomorphological investigation on two anthropogenic mounds in the Kurdistan Region of Iraq, with a special focus on the ongoing erosional processes mining their slope stability and threatening the preservation of the local archaeological landscape. Applying the revised universal soil loss equation model for soil loess derived from UAV imagery and implemented with geoarchaeological investigation, we assess the erosion rate along anthropogenic mounds and estimate the risk of losing archaeological deposits. We argue that a large-scale application of our approach in arid and semi-arid regions may improve our ability to (i) estimate the rate of soil and/or archaeological sediments loss, (ii) propose mitigation strategies to prevent the dismantling of the archaeological record, and (iii) schedule archaeological operations in areas of moderate to extreme erosion risk. [ABSTRACT FROM AUTHOR]

In this paper, we present COMET , a Gaussian process emulator of the galaxy power spectrum multipoles in redshift space. The model predictions are based on one-loop perturbation theory and we consider two alternative descriptions of redshift-space distortions: one that performs a full expansion of the real- to redshift-space mapping, as in recent effective field theory models, and another that preserves the non-perturbative impact of small-scale velocities by means of an effective damping function. The outputs of COMET can be obtained at arbitrary redshifts, for arbitrary fiducial background cosmologies, and for a large parameter space that covers the shape parameters ω c , ω b , and ns , as well as the evolution parameters h ,  As , Ω K , w 0, and wa. This flexibility does not impair COMET 's accuracy, since we exploit an exact degeneracy between the evolution parameters that allows us to train the emulator on a significantly reduced parameter space. While the predictions are sped up by two orders of magnitude, validation tests reveal an accuracy of |$0.1\, {{\ \rm per\ cent}}$| for the monopole and quadrupole (⁠|$0.3\, {{\ \rm per\ cent}}$| for the hexadecapole), or alternatively, better than |$0.25\, \sigma$| for all three multipoles in comparison to statistical uncertainties expected for the Euclid survey with a tenfold increase in volume. We show that these differences translate into shifts in mean posterior values that are at most of the same size, meaning that COMET can be used with the same confidence as the exact underlying models. COMET is a publicly available python package that also provides the tree-level bispectrum multipoles and Gaussian covariance matrices. [ABSTRACT FROM AUTHOR]

We present the result of the geomorphological mapping of the central sector of the Kurdistan Region of Iraq. Therein, landscape evolution was mostly overseen by the regional geodynamic, related to the Arabia-Eurasia convergence, and in the Quaternary, regional climate fluctuations contributed to shaping landforms. The combination of such processes affected the distribution, types, and evolution of landforms (related to structural, hillslope, fluvial, and karst processes), with a noteworthy influence on the development of the local drainage network, which belongs to Tigris River catchment. The Great Zab and Little Zab Rivers – the main left tributaries of Tigris River – progressively cut anticline ridges growing in the area. Our analyses suggest that the structural deformation of the Zagros also controlled the evolution of the low-order channels of the hydrographic network. Since the Holocene, landforms dynamic was altered by intense human exploitation of the landscape and increased fluctuations between arid and humid conditions. [ABSTRACT FROM AUTHOR]

Located along the Tigris River in the Kurdistan Region of Iraq, the Mosul Dam Reservoir is the second biggest dam of the Near East and represents an important water storage for local human activities. The dam was built between 1981 and 1988 north of the village of Eski Mosul, submerging the course of the Tigris River for c. 100 km. The analysis of historical images derived from declassified Corona satellite imagery acquired between December 1967 and August 1968 reveals the pristine pattern of the Tigris River, including the seasonal changes of its riverbed, shifting across the hydrological year from meandering to anastomosing patterns. Geomorphological mapping based on Corona images allowed us to estimate the seasonal modification of fluvial elements such as the floodplain and point, middle and longitudinal bars. The comparison with Landsat data collected since the 1990s showed the first phases of the basin filling and the control on the present‐day aspect of the lake inherited from the setting of the Tigris channel belt and, more in general, the litho‐structural control over the evolution of the local hydrographic network; we also document the influence of the original Tigris River course on its recent insertion into the lake. Our work allowed reconstruction of the ancient fluvial landscape below the Mosul Dam Lake and the evolution of its riverscape controlled by litho‐structural factors and seasonal variations of the river discharge. Finally, this contribution highlights the relevance of declassified intelligence satellite imagery in interpreting natural geomorphic processes and landforms, today altered by human agency. [ABSTRACT FROM AUTHOR]

We present the analysis of the full shape of anisotropic clustering measurement from the extended Baryon Oscillation Spectroscopic Survey (eBOSS) quasar sample together with the combined galaxy sample from the Baryon Oscillation Spectroscopic Survey (BOSS), re-analysed using an updated recipe for the non-linear matter power spectrum and the non-local bias parameters. We obtain constraints for flat Lambda cold dark matter cosmologies, focusing on the cosmological parameters that are independent of the Hubble parameter h. Our recovered value for the Root Mean Square (RMS) linear perturbation theory variance as measured on the scale of |$12\, {\rm Mpc}$| is σ12 = 0.805 ± 0.049, while using the traditional reference scale of |$8\, h^{-1}\, {\rm Mpc}$| gives σ8 = 0.815 ± 0.044. We quantify the agreement between our measurements and the latest cosmic microwave background data from Planck using the suspiciousness metric, and find them to be consistent within 0.64 ± 0.03σ. Combining our clustering constraints with the 3 × 2pt data sample from the Dark Energy Survey Year 1 release slightly degrades this agreement to the level of 1.54 ± 0.08σ, while still showing an overall consistency with Planck. We furthermore study the effect of imposing a Planck – like prior on the parameters that define the shape of the linear matter power spectrum, and find significantly tighter constraints on the parameters that control the evolution of density fluctuations. In particular, the combination of low-redshift data sets prefers a value of the physical dark energy density ωDE = 0.335 ± 0.011, which is 1.7σ higher than the one preferred by Planck. [ABSTRACT FROM AUTHOR]

We measure the galaxy two- and three-point correlation functions at z = [0.5, 0.7] and z = [0.7, 0.9], from the Public Data Release 2 (PDR2) of the VIMOS Public Extragalactic Redshift Survey (VIPERS). We model the two statistics including a non-linear one-loop model for the two-point function and a tree-level model for the three-point function, and perform a joint likelihood analysis. The entire process and non-linear corrections are tested and validated through the use of the 153 highly realistic VIPERS mock catalogues, showing that they are robust down to scales as small as 10  |$h^{-1} \, \mathrm{Mpc}$|⁠. The mocks are also adopted to compute the covariance matrix that we use for the joint two- and three-point analysis. Despite the limited statistics of the two (volume-limited) subsamples analysed, we demonstrate that such a combination successfully breaks the degeneracy existing at two-point level between clustering amplitude σ8, linear bias b 1, and the linear growth rate of fluctuations f. For the latter, in particular, we measure |$f(z=0.61)=0.64^{+0.55}_{-0.37}$| and f (z = 0.8) = 1.0 ± 1.0, while the amplitude of clustering is found to be σ8(z = 0.61) = 0.50 ± 0.12 and |$\sigma _8(z=0.8)=0.39^{+0.11}_{-0.13}$|⁠. These values are in excellent agreement with the extrapolation of a Planck cosmology. [ABSTRACT FROM AUTHOR]

The Italian Archaeological Expedition in the Erbil Plain (MAIPE) of the University of Milan is experimenting with a GIS project based on the QGIS system. It aims at combining data from survey, excavation, and geomorphological investigation carried out in the two sites of Helawa and Aliawa and the surrounding landscape. The MAIPE GIS is intended as a valuable tool for predictive, distributive, and cross-data analyses considering the complex diachronic development of the area and the results of paleoenvironmental studies at a micro-regional and intra-site scale. [ABSTRACT FROM AUTHOR]