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20212026
most citedAnalyzing the Galactic pulsar distribution with machine learning

12 citations · 29 across the 10 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

astro-ph.HE2026

Connecting radio pulsars, magnetars, and XDINSs in a unified evolutionary framework using simulation-based inference

Michele Ronchi, Celsa Pardo-Araujo, Vanessa Graber +7

Understanding the Galactic population of isolated neutron stars within a unified framework provides key insights into their birth properties, evolutionary pathways, and the connect…

astro-ph.HE2026

Understanding the Neutron Star Population with the SKAO Telescopes

L. Levin, M. Bagchi, M. Burgay +12

The known population of non-accreting neutron stars is ever growing and currently consists of more than 3500 sources. Pulsar surveys with the SKAO telescopes will greatly increase…

astro-ph.HE2026

Probing Neutron Star Interiors and the Properties of Cold Ultra-dense Matter with the SKAO

Avishek Basu, Vanessa Graber, Marcus E. Lower +19

Matter inside neutron stars is compressed to densities several times greater than nuclear saturation density, while maintaining low temperatures and large asymmetries between neutr…

astro-ph.HE2026

Long Period Transients (LPTs): a comprehensive review

Nanda Rea, Natasha Hurley-Walker, Manisha Caleb

Long Period Transients (LPTs) are a recently identified class of sources characterized by periodic radio bursts lasting seconds to minutes, with flux densities that might reach sev…

astro-ph.HE2026

Magnetar fraction in Core-Collapse Supernovae

Celsa Pardo-Araujo, Nanda Rea, Michele Ronchi +1

Magnetars are extreme neutron stars powered by ultra-strong magnetic fields ( Gauss) and are compelling engines for some of the most powerful extragalactic transients…