collaborators

12 papers

astro-ph.IM2026

QUIJOTE scientific results - XX. Commissioning and First Results from the Thirty and Forty Gigahertz Instrument (TFGI)

M. Fernández-Torreiro, J. A. Rubiño-Martín, R. T. Génova-Santos +16

We present the commissioning and first results of the Thirty and Forty Gigahertz Instrument (TFGI), which observes the sky at 31 and 41 GHz with angular resolutions of 21' and 18'…

astro-ph.GA2026

Galactic Science with the LiteBIRD satellite: Spectral characterization of diffuse Galactic polarized emission at the angular power spectrum level

S. Vinzl, J. Aumont, L. Vacher +108

Detection of primordial -mode polarization in the cosmic microwave background (CMB) from tensor perturbations generated during inflation is a major scientific goal of future CMB…

astro-ph.GA2026

Spatial Variations of Polarized Synchrotron Emission in the QUIJOTE MFI Data using Neural Networks

J. M. Casas, L. Bonavera, J. González-Nuevo +7

Polarized synchrotron emission from ultra-relativistic electrons spiraling the Galactic magnetic field has become one of the most relevant emissions in the Interstellar medium thes…

astro-ph.GA2026

Probing Anomalous Microwave Emission with the Square Kilometre Array

Matías Vidal, Simón Casassus, Roke Cepeda-Arroita +15

Anomalous microwave emission (AME) represents an excess of radiation in the 10-60 GHz range, distinct from synchrotron, free-free, or thermal dust emission. Although most commonly…

astro-ph.CO2026

Forecasting synchrotron spectral parameters with QUIJOTE-MFI2 in combination with Planck and WMAP

Ana Almeida, José Alberto Rubiño-Martín, Roke Cepeda-Arroita +2

We present a parametric component separation forecast for the QUIJOTE-MFI2 instrument (10-20 GHz), assessing its impact on constraining polarised synchrotron emission at

astro-ph.GA2026

Spectral Signatures of Spinning Dust from Grain Ensembles in Diverse Environments: A Combined Theoretical and Observational Study

Zheng Zhang, Jens Chluba, Roke Cepeda-Arroita +1

Recent observations of anomalous microwave emission (AME) reveal spectral features that are not readily reproduced by spinning dust models. We examine how dust grain distributions…