Constança Providência

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Full Professor

University of Coimbra

Portugal

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About

Constança Providência is a Full Professor at the University of Coimbra, Portugal. Her research encompasses various aspects of astrophysics and nuclear physics, particularly focusing on neutron star behavior, the equation of state, and the role of dark matter. Recent publications include studies on neutron star mass constraints, quark stars, light clusters in nuclear matter, and applications of machine learning in astrophysics.

Recent Grants

Grant: Close

Recuperação do Centro de Física da Universidade de Coimbra

Open Date: 2019-01-01

Close Date: 2019-12-01

Grant: Close

Estrelas de neutrões magnetizadas: equação de estado, propriedades e estrutura de magnetars

Open Date: 2018-05-01

Close Date:

Grant: Close

Recuperação do Centro de Física da Universidade de Coimbra

Open Date: 2016-05-01

Close Date: 2018-12-01

Grant: Close

Compact stars: labs of nuclear and particle physics

Open Date: 2012-07-01

Close Date: 2014-06-30

Grant: Close

Compact stars: labs of nuclear and particle physics

Open Date: 2012-07-01

Close Date: 2014-06-01

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Collaborators (6)

Violetta Sagun

University of Southampton

UNITED KINGDOM

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Thomas Klahn

Associate Professor

California State University, Long Beach

UNITED STATES

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Jose Antonio Font Roda

Full Professor

University of Valencia

SPAIN

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Chikako Ishizuka

Assistant professor

Tokyo Institute of Technology

JAPAN

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Afonso Ávila

University of Coimbra

PORTUGAL

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Pedro Costa

Auxiliary Professor

University of Coimbra

PORTUGAL

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Constança Providência

Research Interests

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Contact this professor

About

Recent Grants

Articles (30)

Constraints on maximum neutron star mass from protoneutron star evolution

Comparing strange and nonstrange quark stars within resummed QCD at NLO

Light clusters as a possible source of crustal impurities: A quasi-particle approach

Inferring the equation of state from neutron star observables via machine learning

Feasibility study of a dark matter admixed neutron star based on recent observational constraints

Impact of the scalar isovector δ meson on the description of nuclear matter and neutron star properties

Calibrating the Medium Effects of Light Clusters in Heavy-Ion Collisions

Collective modes in relativistic cold asymmetric nuclear matter within the covariant Vlasov approach

Constraining neutron star matter from the slope of the mass-radius curves

Unified neutron star equations of state calibrated to nuclear properties

Astrophysics and nuclear physics informed interactions in dense matter: Inclusion of PSR J0437-4715

From neutron star observations to nuclear matter properties: A machine learning approach

Detecting the third family of compact stars with normalizing flows

Implications of comprehensive nuclear and astrophysics data on the equations of state of neutron star matter

Implications of comprehensive nuclear and astrophysics data on the equations of state of neutron star matter

The Impact of Asymmetric Dark Matter on the Thermal Evolution of Nucleonic and Hyperonic Compact Stars

Exploring robust correlations between fermionic dark matter model parameters and neutron star properties: A two-fluid perspective

Rapid neutron star cooling triggered by dark matter

Detecting hyperons in neutron stars: A machine learning approach

Constraining the high-density behavior of nuclear symmetry energy with direct Urca processes

Temperature and strong magnetic field effects in dense matter

Decoding neutron star observations: Revealing composition through Bayesian neural networks

The Effects of Self-interacting Bosonic Dark Matter on Neutron Star Properties

Nonstrange quark stars within resummed QCD

Spanning the full range of neutron star properties within a microscopic description

Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks

CompOSE reference manual

Δ baryons in neutron stars

Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models

Inferring the nuclear symmetry energy at suprasaturation density from neutrino cooling

Collaborators (6)

Violetta Sagun

Thomas Klahn

Jose Antonio Font Roda

Chikako Ishizuka

Afonso Ávila

Pedro Costa

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