output
20052026
most citedThe Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

5k citations

Showing 2018Show all

26 papers · 1 filter

gr-qc2018★ 38 cited

Gravitational Collapse in General Relativity and in -gravity: A Comparative Study

Artyom V. Astashenok, Karim Mosani, Sergey D. Odintsov +1

We compare the gravitational collapse of homogeneous perfect fluid with various equations of state in the framework of General Relativity and in gravity. We make our calculat…

cs.CV2018★ 1 cited

Deep Reader: Information extraction from Document images via relation extraction and Natural Language

Vishwanath D, Rohit Rahul, Gunjan Sehgal +6

Recent advancements in the area of Computer Vision with state-of-art Neural Networks has given a boost to Optical Character Recognition (OCR) accuracies. However, extracting charac…

nucl-th2018★ 11 cited

Properties of Neutron Stars with hyperon cores in parameterized hydrostatic conditions

Debashree Sen, Kinjal Banerjee, T. K. Jha

Models of neutron stars (NSs) with hyperon cores are constructed with an effective chiral model in mean-field approximation. The hyperon couplings are fixed by reproducing their ex…

math.NA2018★ 2 cited

Three-step alternating iterations for index one matrices

Ashish Kumar Nandi, Jajati Keshari Sahoo, Debasisha Mishra

Iterative methods based on matrix splittings are useful in solving large sparse linear systems. In this direction, proper splittings and its several extensions are used to deal wit…

nucl-th2018★ 15 cited

The nucleon effective mass and its isovector splitting

Tuhin Malik, C. Mondal, B. K. Agrawal +2

Using an energy density functional (EDF) based on the thermodynamic Gibbs-Duhem relation, found equivalent to the standard Skyrme EDF for infinite nuclear matter, it is demonstrate…

nucl-th2018★ 15 cited

Effects of hadron-quark phase transition on properties of Neutron Stars

Debashree Sen, T. K. Jha

We investigate the possible scenario of deconfinement of hyperon rich hadronic matter to quark matter at high densities and the resulting hybrid star (HS) properties are analyzed.…

nucl-th2018★ 9 cited

Deconfinement of non-strange hadronic matter with nucleons and baryons to quark matter in neutron stars

Debashree Sen, T. K. Jha

We explore the possibility of formation of baryons (1232 MeV) in neutron star matter in an effective chiral model within the relativistic mean-field framework. With variation i…

gr-qc2018★ 7 cited

Traversable Wormholes with Exponential Shape Function in Modified Gravity and in General Relativity: A Comparative Study

Gauranga C. Samanta, Nisha Godani, Kazuharu Bamba

We have proposed a novel shape function on which the metric that models traversable wormholes is dependent. Using this shape function, the energy conditions, equation of state and…

gr-qc2018★ 131 cited

Traversable Wormholes and Energy Conditions with Two Different Shape Functions in Gravity

Nisha Godani, Gauranga C. Samanta

Traversable wormholes, tunnel like structures introduced by Morris \& Thorne \cite{morris1}, have a significant role in connection of two different space-times or two different par…

gr-qc2018★ 1 cited

Nonlinear electrodynamics, singularities and accelerated expansion

Gauranga C. Samanta, Shantanu K. Biswal, Kazuharu Bamba

Non-linear electrodynamics coupled to general relativity is investigated. In general relativity, it is observed that the expansion of the universe is accelerating if the source of…

hep-ph2018★ 36 cited

Model-independent Astrophysical Constraints on Leptophilic Dark Matter in the Framework of Tsallis Statistics

Atanu Guha, P. S. Bhupal Dev, Prasanta Kumar Das

We derive model-independent astrophysical constraints on leptophilic dark matter (DM), considering its thermal production in a supernova core and taking into account core temperatu…

cs.CR2018★ 48 cited

An investigation of a deep learning based malware detection system

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

We investigate a Deep Learning based system for malware detection. In the investigation, we experiment with different combination of Deep Learning architectures including Auto-Enco…

cs.CV2018

A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance

Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi +1

Face frontalization is the process of synthesizing frontal facing views of faces given its angled poses. We implement a generative adversarial network (GAN) with spherical linear i…

gr-qc2018

Dark energy in spherically symmetric universe coupled with Brans-Dicke scalar field

Koijam Manihar Singh, Gauranga C. Samanta

The phenomenon of dark energy and its manifestations are studied in a spherically symmetric universe considering the Brans-Dicke scalar tensor theory. In the first model the dark e…

cs.LG2018★ 7 cited

Logical Explanations for Deep Relational Machines Using Relevance Information

Ashwin Srinivasan, Lovekesh Vig, Michael Bain

Our interest in this paper is in the construction of symbolic explanations for predictions made by a deep neural network. We will focus attention on deep relational machines (DRMs,…

hep-ph2018★ 84 cited

Confronting nuclear equation of state in the presence of dark matter using GW170817 observation in relativistic mean field theory approach

Arpan Das, Tuhin Malik, Alekha C. Nayak

We confront admixture of dark matter inside neutron star using gravitational wave constraints coming from binary neutron star merger. We consider a relativistic mean field model in…

cond-mat.mes-hall2018★ 44 cited

2D superconductivity and vortex dynamics in 1T-MoS2

Chithra H. Sharma, Ananthu P. Surendran, Sangeeth S. Varma +1

Two-dimensional (2D) superconductivity is a fascinating phenomenon packed with rich physics and wide technological application. The vortices and their dynamics arising from classic…

nucl-th2018★ 267 cited

GW170817: constraining the nuclear matter equation of state from the neutron star tidal deformability

Tuhin Malik, N. Alam, M. Fortin +5

Constraints set on key parameters of the nuclear matter equation of state (EoS) by the values of the tidal deformability, inferred from GW170817, are examined by using a diverse se…

quant-ph2018★ 252 cited

Open quantum systems with local and collective incoherent processes: Efficient numerical simulation using permutational invariance

Nathan Shammah, Shahnawaz Ahmed, Neill Lambert +2

The permutational invariance of identical two-level systems allows for an exponential reduction in the computational resources required to study the Lindblad dynamics of coupled sp…

quant-ph2018★ 13 cited

Entanglement Breaking Rank and the existence of SIC POVMs

Satish K. Pandey, Vern I. Paulsen, Jitendra Prakash +1

We introduce and study the entanglement breaking rank of an entanglement breaking channel. We show that the entanglement breaking rank of the channel def…

cond-mat.mtrl-sci2018★ 69 cited

Spin-Polarized Tunneling through Chemical Vapor Deposited Multilayer Molybdenum Disulfide

André Dankert, Parham Pashaei, M. Venkata Kamalakar +10

The two-dimensional (2D) semiconductor molybdenum disulfide (MoS2) has attracted widespread attention for its extraordinary electrical, optical, spin and valley related properties.…

cs.CL2018

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation

Adam Poliak, Aparajita Haldar, Rachel Rudinger +4

We present a large-scale collection of diverse natural language inference (NLI) datasets that help provide insight into how well a sentence representation captures distinct types o…

gr-qc2018★ 10 cited

Qualitative behavior of cosmological models combining various matter fields

Parth Shah, Gauranga C. Samanta, Salvatore Capozziello

The late time accelerated expansion of the universe can be realized using scalar fields with given self-interacting potentials. Here we consider a straightforward approach where a…

hep-ph2018★ 1 cited

Constraints on light Dark Matter fermions from relic density consideration and Tsallis statistics

Atanu Guha, Prasanta Kumar Das

The cold dark matter fermions with mass MeV scale, pair produced inside the supernova SN1987A core, can freely stream away from the supernovae and hence contributes to its energy l…