7 papers
Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology
Jorge Alda, Jacobo Asorey, Alejandro Mir +1
The paper presents a machine‑learning framework using gradient‑boosted regression trees (XGBoost) to emulate complex, non‑Gaussian likelihoods for global fits in high‑energy physic…
Cosmology from Nx2pt Analyses of SKAO Wide-Area Surveys
Ian Harrison, Ziad Sakr, Giulia Piccirilli +7
The paper forecasts how combined analyses of galaxy clustering, weak lensing, galaxy‑galaxy lensing and 21 cm intensity mapping from SKA‑Mid surveys can measure ΛCDM parameters to…
Beyond ÎCDM with the SKA Observatory -- I: Probing Gravity on Cosmological Scales
S. Camera, C. Addis, S. L. Guedezounme +26
General relativity (GR) is currently the best description of the gravitational interaction at our disposal and is one of the foundations of the concordance cosmological model. For…
EMU: Cross-correlating EMU Pilot Survey 1 with Dark Energy Survey to validate the radio galaxy bias and redshift distribution
Chandra Shekhar Saraf, David Parkinson, Jacobo Asorey +6
Radio continuum galaxy surveys can provide a relatively fast map of the projected distribution of structure in the Universe, at the cost of lacking information about the radial dis…
Cosmology from Clustering of Continuum Galaxies
Jacobo Asorey, Catherine L. Hale, Sebastian von Hausegger +6
The distribution of radio continuum galaxies is a useful, fast, and accessible probe of the matter distribution in the Universe, enlightening us about the Universe's initial condit…
Revisiting CDM extensions in light of re-analyzed CMB data
Jacobo Asorey, Javier de Cruz Pérez
In the last years with the increasing precision in cosmological observations we have been able to establish a standard model of cosmology, the so-called CDM, but also find some…