Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Carvalho, Valéria"'
We present a neural network classification model for detecting the presence of hyperonic degrees of freedom in neutron stars. The models take radii and/or tidal deformabilities as input and give the probability for the presence of hyperons in the neu
Externí odkaz:
http://arxiv.org/abs/2409.12684
In this work, we study the effect of strong magnetic fields on the equation of state (EoS) of warm, homogeneous, Neutron Star (NS) matter in beta equilibrium. NS matter is described within a relativistic mean field (RMF) approximation, including both
Externí odkaz:
http://arxiv.org/abs/2407.03113
Publikováno v:
Phys. Rev. D 109, 103032 (2024)
We explore the anomaly detection framework based on Normalizing Flows (NF) models introduced in \cite{PhysRevC.106.065802} to detect the presence of a large (destabilising) dense matter phase transition in neutron star (NS) observations of masses and
Externí odkaz:
http://arxiv.org/abs/2403.09398
Publikováno v:
Phys. Rev. D 109, 123038 (2024)
This study is devoted to the inference problem of extracting the nuclear matter properties directly from a set of mass-radius observations. We employ Bayesian neural networks (BNNs), which is a probabilistic model capable of estimating the uncertaint
Externí odkaz:
http://arxiv.org/abs/2401.05770
Publikováno v:
Phys. Rev. D 108, 043031 (2023)
We exploit the great potential offered by Bayesian Neural Networks (BNNs) to directly decipher the internal composition of neutron stars (NSs) based on their macroscopic properties. By analyzing a set of simulated observations, namely NS radius and t
Externí odkaz:
http://arxiv.org/abs/2306.06929
Autor:
Ramos, Bruna1,2 (AUTHOR) minohrah@gmail.com, Carvalho, Valéria1 (AUTHOR) elianapinto@iec.gov.br, da Silva, Eliana1 (AUTHOR) maria_freitas17@hotmail.com, Freitas, Maria1 (AUTHOR) landesonbarros@iec.gov.br, Barros, Landeson Junior1 (AUTHOR) maissasantos@iec.gov.br, Santos, Maissa1 (AUTHOR) jamillapantoja@iec.gov.br, Pantoja, Jamilla Augusta1 (AUTHOR) erciliagoncalves@iec.gov.br, Gonçalves, Ercília1 (AUTHOR) joaquimneto@iec.gov.br, Nunes Neto, Joaquim1 (AUTHOR) josejr@iec.gov.br, Junior, José Wilson1 (AUTHOR) durvalvieira@iec.gov.br, Vieira, Durval1 (AUTHOR) danieldias@iec.gov.br, Dias, Daniel1 (AUTHOR) anacecilia@iec.gov.br, Cruz, Ana Cecília1 (AUTHOR) brunonunes@iec.gov.br, Nunes, Bruno1 (AUTHOR) spatroca@gmail.com, Silva, Sandro1 (AUTHOR) carinefaragao@gmail.com, Aragão, Carine1 (AUTHOR) liviamartins@iec.gov.br, Casseb, Alexandre3 (AUTHOR) alexcasseb@yahoo.com.br, Martins, Lívia1 (AUTHOR)
Publikováno v:
Viruses (1999-4915). Sep2024, Vol. 16 Issue 9, p1355. 14p.
The extraction of the nuclear matter properties from neutron star (NS) observations is nowadays an important issue, in particular, the properties that characterize the symmetry energy which are essential to describe correctly asymmetric nuclear matte
Externí odkaz:
http://arxiv.org/abs/2209.09085
Autor:
Teixeira, Bruna N., Albernaz, Fabiana P., Oliveira, Andréa C., Gomes, Andre Marco O., Carvalho, Valéria L., Carvalho, Carlos Alberto M.
Publikováno v:
In Microbial Pathogenesis December 2024 197
Autor:
Carvalho, Valéria L.1 (AUTHOR) valeriacarvalho@iec.gov.br, Prakoso, Dhani2 (AUTHOR) dhaniprakoso@yahoo.com, Schwarz, Erika R.3 (AUTHOR), Logan, Tracey D.4 (AUTHOR), Nunes, Bruno Tardelli Diniz1 (AUTHOR), Beachboard, Sarah E.5 (AUTHOR), Long, Maureen T.5,6 (AUTHOR) valeriacarvalho@iec.gov.br
Publikováno v:
Viruses (1999-4915). Mar024, Vol. 16 Issue 3, p350. 12p.
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