Modelling the Quasi-Periodic Oscillations and Their Respective Time Lags in Neutro...
Grant number: | 16/09831-0 |
Support Opportunities: | Regular Research Grants |
Start date: | February 01, 2017 |
End date: | January 31, 2019 |
Field of knowledge: | Physical Sciences and Mathematics - Astronomy - Stellar Astrophysics |
Principal Investigator: | Rodolfo Valentim da Costa Lima |
Grantee: | Rodolfo Valentim da Costa Lima |
Host Institution: | Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF). Universidade Federal de São Paulo (UNIFESP). Campus Diadema. Diadema , SP, Brazil |
Abstract
Neutron Stars (NSs) are the final stages of "life" of stars with different initial masses, knowledge of NSs populations is essential for understanding evolutionary ways of the progenitor stars, equations of state models and information about the matter in extreme density systems and temperature. For NSs, the mass is the main parameter observed that can be inferred by different methods: Shapiro Delay and Mass Function (Kepler's Third Law). Through Bayesian Inference and parameterization using gaussians can infer masses "canonical" to the NSs groups. Using the database http://stellarcollapse.org/nsmasses available on the network (Figure 2), containing the mass and the measured deviations and different methods published by several authors, the analysis allows inferring these paths and estimate the characteristic masses and other relevant parameters (core density, for example). The project proposes to study the distribution of masses of ENs from public domain data, to infer the mass scale and the existence of a maximum value for ENs. (AU)
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