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From the 1 of 7 linked papers with an AI index.

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7 papers

astro-ph.CO2026

Reconstructing the kinematics of Laniakea using Type Ia Supernovae

Francesco Sorrenti, Erick Pastén, Leonardo Giani

The paper presents a method to infer the expansion and shear of the Laniakea supercluster by analyzing monopole, dipole, and quadrupole components of Type Ia supernova luminosity d…

astro-ph.CO2026

Skipping the rungs! Calibrating distance indicators through their clustering with galaxies

Madeline L. Cross-Parkin, Leonardo Giani, Cullan Howlett +1

We show that angular cross-correlations between distance indicators and galaxy redshift catalogues, when interpreted within an assumed cosmological model, can constrain potential b…

astro-ph.CO2026

Dark siren cross-correlations and the sensitivity of to methodological choices

Madeline L. Cross-Parkin, Cullan Howlett, Leonardo Giani +2

Gravitational wave sources act as absolute distance indicators, making them powerful probes of the present-day expansion rate of the Universe, . The cross-correlation method c…

astro-ph.CO2026

An effective -Szekeres modelling of the local Universe with Cosmicflows-4

Marco Galoppo, Leonardo Giani, Morag Hills +1

We develop an effective description of the local cosmic environment, namely, for redshift , to quantify the bias induced by local structure on cosmological observab…

astro-ph.CO2026

The velocity coherence scale: a novel probe of cosmic homogeneity and a potential standard ruler

Leonardo Giani, Cullan Howlett, Chris Blake +2

We introduce the velocity coherence scale , the scale at which the spherical volume average of the trace of the velocity correlation tensor transitions from scaling faster tha…

astro-ph.CO2025

The matter with(in) CPL

Leonardo Giani, Rodrigo Von Marttens, Oliver Fabio Piattella

We introduce a two-parameter phenomenological extension of the CDM model in which the equation of state parameter of the ``dust'' fluid becomes different from zero for redshift…