Analytical model of dark energy stars

Banerjee, Ayan; Jasim, M. K.; Pradhan, Anirudh

doi:10.1142/s0217732320500716

Cited by 14 publications

(5 citation statements)

References 49 publications

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“…This article aims to discover the notion of 𝜕𝛩 * 𝐸𝐺𝑅𝑂 -detectability by means of the sensors selection [13][14][15]. The motive of studying conception, there are existent several problems in the real world need to be studied as in [16][17] and for another system types (see [18][19][20]). This means, one maybe devoted to the boundary gradient exponential problem of type detection in 𝜕𝛩 * (see Figure 1) [21].…”

Section: Introductionmentioning

confidence: 99%

Boundary Exponential Gradient Reduced Order Detectability in Neumann Conditions

Al-Bayati,

Al-Shaya,

Al-Saphory

2024

Iraqi Journal of Science

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This work, aims to study and examine the description f the gradient reduced order-strategic sensors of type boundary exponential (-strategic sensors) for completion gradient order-detectability of type boundary exponential (-detectability). Thus, this concept is linked to an estimator in distributed parameter systems (DPSS) in Neumann problem. So,we present numerous consequences regarding to diverse kinds of information, region and conditions of boundary region to allow existence of -detectable systems. In addition,we have estimated at the junction interface that the interior solution isharmonizedwith the exterior solution for -detectable and, we give the relationship between this concept and sensors structures. Finally,we demonstrate some applications with many circumstances f sensor positions.

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Section: Introductionmentioning

confidence: 99%

Boundary Exponential Gradient Reduced Order Detectability in Neumann Conditions

Al-Bayati,

Al-Shaya,

Al-Saphory

2024

Iraqi Journal of Science

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“…In this way, various models of DES were presented over time, most of them referring to the anisotropy parameter and stability of the star. In addition, other definable properties were also studied for it [14][15][16][17]. Of course, it was shown in Ref.…”

Section: Introductionmentioning

confidence: 99%

Effect of massive graviton on dark energy star structure

Tudeshki¹,

Bordbar²,

Panah³

2023

Preprint

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The presence of massive gravitons in the field of massive gravity is considered as an important factor in investigating the structure of compact objects. Hence, we are encouraged to study the dark energy star structure in the Vegh's massive gravity. We consider that the equation of state governing the inner spacetime of the star is the extended Chaplygin gas, and then using this equation of state, we numerically solve the Tolman-Oppenheimer-Volkoff (TOV) equation in massive gravity. In the following, assuming different values of free parameters defined in massive gravity, we calculate the properties of dark energy star such as radial pressure, transverse pressure, anisotropy parameter, and other characteristics. Then, after obtaining the maximum mass and its corresponding radius, we compute redshift and compactness. The obtained results show that for this model of dark energy star, the maximum mass and its corresponding radius depend on the massive gravity's free parameters and anisotropy parameter. These results are consistent with the observational data, and cover the lower mass gap. We also demonstrate that all energy conditions are satisfied for this model, and in the presence of anisotropy, the dark energy star is potentially unstable.

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“…In this study, it is assumed that the pressure of the fluid is positive at the beginning of falling and then, where the star reaches its final stage of collapse, the negative pressure prevails in the system. By expressing the equations of motion in the presence of specific metric potentials Finch and Skea, Banerjee et al [20] were able to provide an exact solution for the dark energy star. The effects of slow rotation on the configuration of a dark energy star with the governing Chaplygin equation of state were investigated by Panotopoulos et al in Ref.…”

Section: Introductionmentioning

confidence: 99%