Zobrazeno 1 - 10
of 654
pro vyhledávání: '"Szymański, Piotr"'
Autor:
Kołaczek-Szymański, Piotr A., Łojko, Piotr, Pigulski, Andrzej, Różański, Tomasz, Moździerski, Dawid
The evolution of massive stars is heavily influenced by their binarity, and the massive eccentric binary system MACHO 80.7443.1718 (ExtEV) serves as a prime example. This study explores whether the light variability of ExtEV, observed near the perias
Externí odkaz:
http://arxiv.org/abs/2411.05469
Autor:
Pigulski, Andrzej, Kołaczek-Szymański, Piotr A., Święch, Marta, Łojko, Piotr, Kowalski, Kacper J.
Blue large-amplitude pulsators (BLAPs) are a newly discovered group of compact pulsating stars whose origin needs to be explained. Of the existing evolutionary scenarios that could lead to the formation of BLAPs, there are two in which BLAPs are the
Externí odkaz:
http://arxiv.org/abs/2410.19093
Software development support tools have been studied for a long time, with recent approaches using Large Language Models (LLMs) for code generation. These models can generate Python code for data science and machine learning applications. LLMs are he
Externí odkaz:
http://arxiv.org/abs/2410.04617
Blue large-amplitude pulsators (BLAPs) are a recently discovered group of hot stars pulsating in radial modes. Their origin needs to be explained, and several scenarios for their formation have already been proposed. We investigate whether BLAPs can
Externí odkaz:
http://arxiv.org/abs/2410.00154
We study the effectiveness of regional lockdown strategies to mitigate the spread of a pathogen across regional units, in the following called cities, within a country or region for a single infection wave. The heterogeneity in the epidemically relev
Externí odkaz:
http://arxiv.org/abs/2402.03100
Autor:
Gramacki, Piotr, Leśniara, Kacper, Raczycki, Kamil, Woźniak, Szymon, Przymus, Marcin, Szymański, Piotr
Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into micro-regions using multiple algorithms and train an embedding model us
Externí odkaz:
http://arxiv.org/abs/2310.13098
Autor:
Kołaczek-Szymański, Piotr Antoni, Łojko, Piotr, Pigulski, Andrzej, Różański, Tomasz, Moździerski, Dawid
Publikováno v:
A&A 686, A199 (2024)
Evolution of massive stars is dominated by interactions within binary systems. Therefore, it is necessary to investigate all forms of interaction in binary systems that may affect the evolution of the components. One of such laboratories is the massi
Externí odkaz:
http://arxiv.org/abs/2309.16532
With a recent influx of voice generation methods, the threat introduced by audio DeepFake (DF) is ever-increasing. Several different detection methods have been presented as a countermeasure. Many methods are based on so-called front-ends, which, by
Externí odkaz:
http://arxiv.org/abs/2306.01428
Autor:
Leśniara, Kacper, Szymański, Piotr
Recent years brought advancements in using neural networks for representation learning of various language or visual phenomena. New methods freed data scientists from hand-crafting features for common tasks. Similarly, problems that require consideri
Externí odkaz:
http://arxiv.org/abs/2304.13865
Publikováno v:
A&A 671, A22 (2023)
Massive and intermediate-mass stars reside in binary systems much more frequently than low-mass stars. Binaries containing massive main-sequence (MS) component(s) are often characterised by eccentric orbits, and can be observed as eccentric ellipsoid
Externí odkaz:
http://arxiv.org/abs/2301.00733