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Neutron Stars populations: bayesian statistics tools

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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Scientific publications (11)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
VALENTIM, R.; JESUS, J. F.. Entropy and creation cold dark matter models. ASTRONOMISCHE NACHRICHTEN, v. 340, n. 1-3, SI, p. 105-107, . (16/09831-0, 17/05859-0)
JESUS, J. F.; VALENTIM, R.; ESCOBAL, A. A.; PEREIRA, S. H.; BENNDORF, D.. Gaussian processes reconstruction of the dark energy potential. Journal of Cosmology and Astroparticle Physics, v. N/A, n. 11, p. 14-pg., . (16/09831-0, 21/01089-1)
LAPOLA, M. M.; MORAES, P. H. R. S.; DE PAULA, W.; JESUS, J. F.; VALENTIM, R.; MALHEIRO, M.. Induced equation of state for the universe epochs constrained by the hubble parameter. CHINESE JOURNAL OF PHYSICS, v. 72, p. 159-175, . (16/09831-0, 15/08476-0, 18/20689-7, 17/05859-0)
JESUS, J. F.; GREGORIO, T. M.; ANDRADE-OLIVEIRA, F.; VALENTIM, R.; MATOS, C. A. O.. Bayesian correction of H(z) data uncertainties. Monthly Notices of the Royal Astronomical Society, v. 477, n. 3, p. 2867-2873, . (13/26258-4, 16/09831-0, 17/05859-0)
VALENTIM, R.; JESUS, J. F.. Thermodynamic constraints on matter creation models. EUROPEAN PHYSICAL JOURNAL C, v. 80, n. 11, . (17/05859-0, 16/09831-0, 13/26258-4)
JESUS, J. F.; VALENTIM, R.; MORAES, P. H. R. S.; MALHEIRO, M.. Kinematic constraints on spatial curvature from supernovae Ia and cosmic chronometers. Monthly Notices of the Royal Astronomical Society, v. 500, n. 2, p. 2227-2235, . (17/05859-0, 16/09831-0)
VALENTIM, R.; JESUS, J. F.. Entropy and creation cold dark matter models. ASTRONOMISCHE NACHRICHTEN, v. 340, n. 1-3, p. 3-pg., . (16/09831-0, 17/05859-0)
JESUS, J. F.; VALENTIM, R.; ESCOBAL, A. A.; PEREIRA, S. H.. Gaussian process estimation of transition redshift. Journal of Cosmology and Astroparticle Physics, v. N/A, n. 4, p. 16-pg., . (16/09831-0, 17/05859-0)
JESUS, J. F.; VALENTIM, R.; ANDRADE-OLIVERA, F.. Bayesian analysis of CCDM models. Journal of Cosmology and Astroparticle Physics, n. 9, . (13/26258-4, 16/09831-0, 17/05859-0)
JESUS, J. F.; VALENTIM, R.; ESCOBAL, A. A.; PEREIRA, S. H.. Gaussian process estimation of transition redshift. Journal of Cosmology and Astroparticle Physics, n. 4, . (16/09831-0, 17/05859-0)
JESUS, J. F.; VALENTIM, R.; ANDRADE-OLIVERA, F.. Bayesian analysis of CCDM models. Journal of Cosmology and Astroparticle Physics, v. N/A, n. 9, p. 16-pg., . (16/09831-0, 17/05859-0, 13/26258-4)