Astrophysics

The hunt for new pulsating ultraluminous X-ray sources: A clustering approach featured image

The hunt for new pulsating ultraluminous X-ray sources: A clustering approach

Presentation on a clustering approach for discovering new pulsating ultraluminous X-ray sources.

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Nicolò Pinciroli
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Genetic and evolutionary algorithms for finding pulsations featured image

Genetic and evolutionary algorithms for finding pulsations

Presentation on genetic and evolutionary algorithms for finding pulsations in astrophysical data.

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Nicolò Pinciroli
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Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources featured image

Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources

The study of X-ray spectra is crucial to understanding the physical nature of astrophysical sources. Machine learning methods can extract compact and informative representations of …

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Nicolò Pinciroli
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Artificial Intelligence and complex networks in multimodal X-ray astrophysics featured image

Artificial Intelligence and complex networks in multimodal X-ray astrophysics

Invited talk on the use of multimodal data in X-ray astrophysics.

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Nicolò Pinciroli
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An ultraviolet burst oscillation candidate from the low-mass X-ray binary EXO 0748–676 featured image

An ultraviolet burst oscillation candidate from the low-mass X-ray binary EXO 0748–676

X-ray burst oscillations are quasi-coherent periodic signals at frequencies close to the neutron star spin frequency. They are observed during thermonuclear Type I X-ray bursts …

arianna-miraval-zanon
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The hunt for new pulsating ultraluminous X-ray sources: A clustering approach featured image

The hunt for new pulsating ultraluminous X-ray sources: A clustering approach

Context. The discovery of fast and variable coherent signals in a handful of ultraluminous X-ray sources (ULXs) points to the presence of super-Eddington accreting neutron stars, …

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Nicolò Pinciroli
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Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients featured image

Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients

Gravitational lenses are caused by massive astronomical objects that distort space-time, bending light. They can distort transient astrophysical events, such as supernovae (SN), …

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Nicolò Pinciroli
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Counting objects with multimodal multi-output ordinal regression featured image

Counting objects with multimodal multi-output ordinal regression

Talk on AI algorithms for gravitational lenses analysis.

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Nicolò Pinciroli
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Augmenting X-ray Astronomical Representations with Scientific Knowledge through Contrastive Learning featured image

Augmenting X-ray Astronomical Representations with Scientific Knowledge through Contrastive Learning

Astronomers have produced large multimodal datasets that include images, spectra, and time series, and that encode physical information about the observed objects. In addition, a …

juan-rafael-martinez-galarza
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A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7? featured image

A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7?

Ultraluminous X-ray sources (ULX) are extragalactic objects with observed X-ray luminosities largely above the Eddington limit for a 10 M⊙ black hole. Currently, it is believed …

fabio-pintore
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