Institute for Fundamental Physics of the Universe

J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning

F. Quispe-Huaynasi, F. Roig, V. Loaiza-Tacuri +25

The selection of candidates belonging to rare or underrepresented stellar populations, as well as novel objects, is essential for spectroscopic follow-up. In this work, we demonstr…

The ViSta method for optimized stacking of broadband interferometric data in the Fourier domain

Martina Torsello, Marcella Massardi, Elisabetta Liuzzo +3

We present the optimized version of ViSta, a visibility-domain stacking method that combines interferometric observations in the Fourier domain from radio to sub-millimeter wavelen…

OpenGadget3 GPU solver tests

A. Ragagnin, G. S. Karademir, F. Groth +6

We present an in-depth evaluation of the scalability and accuracy of the GPU porting of the N-body code for hydrodynamic cosmological simulations \og. While technical details of ou…

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems

Euclid Collaboration, S. H. Vincken, K. Rojas +302

We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…

Euclid: An automated system to match Rubin transient alerts to Euclid observations

C. Duffy, I. M. Hook, C. M. Gutierrez +150

The Vera C. Rubin observatory is expected to produce 10 million transient alerts per night in ugrizy filters, whilst Euclid is a visible to near-infrared space telescope engaged in…

Euclid. Properties and performance of the NISP signal estimator

Euclid Collaboration, F. Cogato, B. Kubik +292

The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…

Euclid Structural-Thermal-Optical Performance

Euclid Collaboration, A. Anselmi, R. Laureijs +290

The Euclid system performance is defined in terms of image quality metrics tuned to the weak gravitational lensing (WL) cosmological probe. WL induces stringent requirements on the…

astro-ph.IM2025★ 1 cited

The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation

Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27

We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

M. D. Lepinzan, G. Lacopo, D. Goz +5

In this work we present the porting to Graphics Processing Units (GPUs, using OpenMP target directives) and optimization of a key module within the cosmological {\pinocchio} code,…

astro-ph.IM2025★ 1 cited

Needlets and foreground removal for SKAO hydrogen intensity maps

Bianca De Caro, Isabella P. Carucci, Stefano Camera +2

Intensity Mapping (IM) of the 21-cm line of the neutral hydrogen (\textsc{Hi}) has become a compelling new technique to map the large-scale structure of the Universe. One of the ma…

NASIM: Revealing the low surface brightness Universe from legacy VISTA data

Elham Saremi, Ignacio Trujillo, Mohammad Akhlaghi +5

Near-infrared imaging is a powerful technique in observational astronomy, but the bright background, primarily from the Earthś atmosphere, makes the detection of faint features par…

Euclid preparation. Overview of Euclid infrared detector performance from ground tests

Euclid Collaboration, B. Kubik, R. Barbier +341

The paper describes the objectives, design and findings of the pre-launch ground characterisation campaigns of the Euclid infrared detectors. The pixel properties, including baseli…

Euclid VI. NISP-P optical ghosts

Euclid Collaboration, K. Paterson, M. Schirmer +309

The Near-Infrared Spectrometer and Photometer (NISP) onboard Euclid includes several optical elements in its path, which introduce artefacts into the data from non-nominal light pa…

On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe

R. Aurvik, M. Galloway, E. Gjerløw +107

We assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors…

A Simulation Framework for the LiteBIRD Instruments

M. Tomasi, L. Pagano, A. Anand +111

LiteBIRD, the Lite (Light) satellite for the study of $B$ -mode polarization and Inflation from cosmic background Radiation Detection, is a space mission focused on primordial cosmo…

On beam characterization of ground-based CMB radio telescopes using UAV-mounted sources: application to the QUIJOTE TFGI and plans for LSPE-Strip

Fabio Paonessa, Lorenzo Ciorba, Giuseppe Addamo +22

The Large Scale Polarization Explorer (LSPE) project, funded by the Italian Space Agency (ASI), includes the development of LSPE-Strip, a ground-based radio telescope for observing…

Euclid preparation: The NISP spectroscopy channel, on ground performance and calibration

Euclid Collaboration, W. Gillard, T. Maciaszek +356

ESA's Euclid cosmology mission relies on the very sensitive and accurately calibrated spectroscopy channel of the Near-Infrared Spectrometer and Photometer (NISP). With three opera…

astro-ph.IM2025★ 8 cited

Euclid Quick Data Release (Q1): From spectrograms to spectra: the SIR spectroscopic Processing Function

Euclid Collaboration, Y. Copin, M. Fumana +348

The Euclid space mission aims to investigate the nature of dark energy and dark matter by mapping the large-scale structure of the Universe. A key component of Euclid's observation…