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Intrinsic alignment (IA) modelling and photometric redshift estimation are two of the main sources of systematic uncertainty in weak lensing surveys. We investigate the impact of redshift errors and their interplay with different IA models. Generally, errors on the mean δz and on the width σz of the redshift bins can both lead to biases in cosmological constraints. We find that such biases can, however, only be partially resolved by marginalizing over δz and σz . For Stage-III surveys, δz and σz cannot be well constrained due to limited statistics. The resulting biases are thus sensitive to prior volume effects. For Stage-IV surveys, we observe that marginalizing over the redshift parameters has an impact and reduces the bias. We derive requirements on the uncertainty of σz and δz for both Stage-III and Stage-IV surveys. We assume that the redshift systematic errors on S 8 should be less than half of the statistical errors, and the median bias should be smaller than 0.25σ. We find that the uncertainty on δz has to be ≲ 0.025 for the NLA IA model with a Stage-III survey. We find no requirement threshold for σz since the requirements are met even for our maximum prior width of 0.3. For the TATT IA model, the uncertainty on δz has to be ≲ 0.02 and the uncertainty on σz has to be ≲ 0.2. Current redshift precision of Stage-III surveys is therefore high enough to meet these requirements. For Stage-IV surveys, systematic effects will be more important due to the higher statistical precision. In this case, the uncertainty on δz has to be ≲ 0.005 and the uncertainty on σz should be ≲ 0.1, with no significant dependence on the IA model. This required high precision will be a challenge for the redshift calibration of these future surveys. Finally, we investigate whether the interplay between redshift systematics and IA modelling can explain the S 8-tension between cosmic shear results and CMB measurements. We find that this is unlikely to explain the current S 8-tension. The code that was used to conduct this analysis is publicly available.[refrigerator: https://cosmo-gitlab.phys.ethz.ch/cosmo_public/refrigerator.], Journal of Cosmology and Astroparticle Physics, 2023 (1), ISSN:1475-7516

Large sets of matter density simulations are becoming increasingly important in large-scale structure cosmology. Matter power spectra emulators, such as the Euclid Emulator and CosmicEmu, are trained on simulations to correct the non-linear part of the power spectrum. Map-based analyses retrieve additional non-Gaussian information from the density field, whether through human-designed statistics such as peak counts, or via machine learning methods such as convolutional neural networks. The simulations required for these methods are very resource-intensive, both in terms of computing time and storage. This creates a computational bottleneck for future cosmological analyses, as well as an entry barrier for testing new, innovative ideas in the area of cosmological information retrieval. Map-level density field emulators, based on deep generative models, have recently been proposed to address these challenges. In this work, we present a novel mass map emulator of the KiDS-1000 survey footprint, which generates noise-free spherical maps in a fraction of a second. It takes a set of cosmological parameters (ΩM, σ8) as input and produces a consistent set of 5 maps, corresponding to the KiDS-1000 tomographic redshift bins. To construct the emulator, we use a conditional generative adversarial network architecture and the spherical convolutional neural network DeepSphere, and train it on N-body-simulated mass maps. We compare its performance using an array of quantitative comparison metrics: angular power spectra Cℓ, pixel/peaks distributions, Cℓ correlation matrices, and Structural Similarity Index. Overall, the average agreement on these summary statistics is, Journal of Cosmology and Astroparticle Physics, 2022 (12), ISSN:1475-7516

The article concerns the effects of the Russian embargo on apple producers in Poland. Scientific literature is quite poor in this field, mainly information articles in industry literature and media information are available. The literature was reviewed in this respect and two studies (questionnaire and interview) were carried out. The information obtained allowed us to draw conclusions about the very large negative impact of the embargo on the apple market and to learn about its characteristics. New markets do not generate sufficient demand, in 2018 apple prices dropped below production costs, but this does not reflect in a drop in prices in stores, which means that price speculations take place, and the situation is used by realtors. It is necessary to quickly return to the Russian market, because soon it will be unrecoverable for Polish fruit farmers. It is also necessary to put pressure on the European Union's policy, because nowadays it is the Polish farmers who bear its effects to the greatest extent., DOI 10.22630/PRS.2019.19.2.23

Mapping the underlying density field, including non-visible dark matter, using weak gravitational lensing measurements is now a standard tool in cosmology. Due to its importance to the science results of current and upcoming surveys, the quality of the convergence reconstruction methods should be well understood. We compare three methods: Kaiser–Squires (KS), Wiener filter, and Glimpse. Kaiser–Squires is a direct inversion, not accounting for survey masks or noise. The Wiener filter is well-motivated for Gaussian density fields in a Bayesian framework. Glimpse uses sparsity, aiming to reconstruct non-linearities in the density field. We compare these methods with several tests using public Dark Energy Survey (DES) Science Verification (SV) data and realistic DES simulations. The Wiener filter and Glimpse offer substantial improvements over smoothed Kaiser–Squires with a range of metrics. Both the Wiener filter and Glimpse convergence reconstructions show a 12 per cent improvement in Pearson correlation with the underlying truth from simulations. To compare the mapping methods’ abilities to find mass peaks, we measure the difference between peak counts from simulated ΛCDM shear catalogues and catalogues with no mass fluctuations (a standard data vector when inferring cosmology from peak statistics); the maximum signal-to-noise of these peak statistics is increased by a factor of 3.5 for the Wiener filter and 9 for Glimpse. With simulations, we measure the reconstruction of the harmonic phases; the phase residuals’ concentration is improved 17 per cent by Glimpse and 18 per cent by the Wiener filter. The correlationbetween reconstructions from data and foreground redMaPPer clusters is increased 18 per cent by the Wiener filter and 32 per cent by Glimpse., Monthly Notices of the Royal Astronomical Society, 479 (3), ISSN:0035-8711, ISSN:1365-2966, ISSN:1365-8711

The paper is an attempt to verify the hypothesis about the positive effects of infrastructure investments on sustainable development of Siedlce city. For this purpose an analysis of selected investment by the city of Siedlce in 2010-2015. Also conducted a study (free interview) with a spokesman for the Office of the City of Siedlce, the aim of which was to verify the individual investments to satisfy the conditions for sustainable development results showed that the biggest investment by the city of Siedlce actually fit in with the idea of sustainable development.

The paper is an attempt to verify the hypothesis about the positive impact of government investment in infrastructure for the development of entrepreneurship in the municipality of Skórzec. For this purpose an analysis of municipal investments in the years 2005-2014. Also conducted a survey among local entrepreneurs, in which they determined the impact of infrastructure investment on the functioning and development of their businesses. The survey results indicate that the impact of infrastructure on the development of local entrepreneurship is relatively large.

Celem artykułu jest ocena preferencji w zakresie usług doradczych dla rolników indywidualnych, świadczonych przez pracowników ośrodków doradztwa rolniczego i firmy prywatne. Na podstawie wyników ankiety przeprowadzonej we wschodniej części województwa mazowieckiego w powiecie węgrowskim stwierdzono, że większość ankietowanych korzysta z doradztwa państwowego – 75% rolników. Prawie 68% ankietowanych osób było zainteresowanych uzyskaniem informacji o instrumentach pomocowych, które mają wpływ na poprawę rentowności gospodarstw. Bardzo dużo uwagi rolnicy skupiali też na nowych technologiach oraz na wyposażeniu technicznym gospodarstw (48% odpowiedzi). Obecna sytuacja polskiego rolnictwa wymaga w dalszym ciągu wsparcia, zarówno przez doradztwo państwowe, jak i prywatne.

Monthly Notices of the Royal Astronomical Society, 464 (4), ISSN:0035-8711, ISSN:1365-2966, ISSN:1365-8711

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model-or machine learning-based photometric redshift methods-ANNZ2, BPZ calibrated against BCC-Ufig simulations, SKYNET, and TPZ-are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z's. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72 +/- 0.01 over the range 0.3 < z < 1.3, we construct three tomographic bins with means of z = {0.45;0.67;1.00}. These bins each have systematic uncertainties delta z