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The dwarf spheroidal galaxies (dSphs) satellites of the Milky Way (MW) are nearby astrophysical laboratories to study the nature of dark matter (DM). We present some properties of the DM halos of the three classical dSphs Fornax, Sculptor and Leo I,
Externí odkaz:
http://arxiv.org/abs/2411.05084
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Accurate estimation of greenhouse gas (GHG) is essential to meet carbon neutrality targets, particularly through the calculation of direct CO2 emissions from electricity generation. This work reviews and compares emission factor-based methods for acc
Externí odkaz:
http://arxiv.org/abs/2411.13663
A theory based on the superposition principle is developed to uncover the basic physics of the wave behavior in a finite grating of N unit cells. The theory reveals that bound states in the continuum (BICs) of infinite quality factor (Q-factor) can b
Externí odkaz:
http://arxiv.org/abs/2411.12374
Lifted probabilistic inference exploits symmetries in a probabilistic model to allow for tractable probabilistic inference with respect to domain sizes of logical variables. We found that the current state-of-the-art algorithm to construct a lifted r
Externí odkaz:
http://arxiv.org/abs/2411.11730
To protect users from data breaches and phishing attacks, service providers typically implement two-factor authentication (2FA) to add an extra layer of security against suspicious login attempts. However, since 2FA can sometimes hinder user experien
Externí odkaz:
http://arxiv.org/abs/2411.11551
This paper studies a type of periodic utility maximization problems for portfolio management in incomplete stochastic factor models with convex trading constraints. The portfolio performance is periodically evaluated on the relative ratio of two adja
Externí odkaz:
http://arxiv.org/abs/2411.13579
In this study, we investigate the stability of the greybody factor of Hayward black holes by adding a small bump to the effective potential. Considering the greybody factor is a function of frequency, we define the so-called $\mathcal{G}$-factor and
Externí odkaz:
http://arxiv.org/abs/2411.07734
Lifting uses a representative of indistinguishable individuals to exploit symmetries in probabilistic relational models, denoted as parametric factor graphs, to speed up inference while maintaining exact answers. In this paper, we show how lifting ca
Externí odkaz:
http://arxiv.org/abs/2411.07006
Matrix factor models have been growing popular dimension reduction tools for large-dimensional matrix time series. However, the heteroscedasticity of the idiosyncratic components has barely received any attention. Starting from the pseudo likelihood
Externí odkaz:
http://arxiv.org/abs/2411.06423