DeepLSS: Breaking Parameter Degeneracies in Large-Scale Structure with Deep-Learning Analysis of Combined Probes

Autor: Tomasz Kacprzak, Janis Fluri

Publikováno v: Physical Review X, Vol 12, Iss 3, p 031029 (2022)

In classical cosmological analysis of large-scale structure surveys with two-point functions, the parameter measurement precision is limited by several key degeneracies within the cosmology and astrophysics sectors. For cosmic shear, clustering ampli

Externí odkaz: https://doaj.org/article/8889a46ee2394eceb2a5de0ec8a25bb4

Assessing theoretical uncertainties for cosmological constraints from weak lensing surveys

Autor: Ting Tan, Dominik Zürcher, Janis Fluri, Alexandre Refregier, Federica Tarsitano, Tomasz Kacprzak

Publikováno v: Monthly Notices of the Royal Astronomical Society, 522 (3)

Weak gravitational lensing is a powerful probe, which is used to constrain the standard cosmological model and its extensions. With the enhanced statistical precision of current and upcoming surveys, high-accuracy predictions for weak lensing statist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5384d53cf5320dbe79394a0bb70c036c
https://hdl.handle.net/20.500.11850/614383

The Influence of the Russian Embargo on the Economic Situation of Apple Producers in the Eastern Part of the Masovia Province

Autor: Tomasz Kacprzak, Katarzyna Himstedt

Publikováno v: Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego, Vol 19, Iss 2 (2019)

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 review

Externí odkaz: https://doaj.org/article/1a385c15285e4b8bb1424ce3933a9521

The PAU survey: Measurement of narrow-band galaxy properties with approximate bayesian computation

Autor: Luca Tortorelli, Malgorzata Siudek, Beatrice Moser, Tomasz Kacprzak, Pascale Berner, Alexandre Refregier, Adam Amara, Juan García-Bellido, Laura Cabayol, Jorge Carretero, Francisco J. Castander, Juan De Vicente, Martin Eriksen, Enrique Fernandez, Enrique Gaztanaga, Hendrik Hildebrandt, Benjamin Joachimi, Ramon Miquel, Ignacio Sevilla-Noarbe, Cristóbal Padilla, Pablo Renard, Eusebio Sanchez, Santiago Serrano, Pau Tallada-Crespí, Angus H. Wright

Publikováno v: Journal of Cosmology and Astroparticle Physics
Digital.CSIC. Repositorio Institucional del CSIC
instname
Journal of Cosmology and Astroparticle Physics, 2021 (12)

Narrow-band imaging surveys allow the study of the spectral characteristics of galaxies without the need of performing their spectroscopic follow-up. In this work, we forward-model the Physics of the Accelerating Universe Survey (PAUS) narrow-band da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4372178103fd1f6f0e688107d4e2ed1
http://hdl.handle.net/10261/262384

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

Autor: Raphael Sgier, Michaël Defferrard, Tomasz Kacprzak, Nathanaël Perraudin

Publikováno v: Astronomy and Computing, 27

Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learning toolbox and have led to many breakthroughs in Artificial Intelligence. These networks have mostly been developed for regular Euclidean domains such as those supporting images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8112759df40406e6e3c91c75b9549a1f
https://doi.org/10.1016/j.ascom.2019.03.004