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From the 1 of 8 linked papers with an AI index.

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8 papers

astro-ph.CO2026

SPT-3G D1: Foreground-Robust Lensing Templates for Primordial Gravitational Wave Searches

Y. Nakato, W. L. K. Wu, Y. Omori +92

Gravitational lensing of the cosmic microwave background (CMB) generates B-mode polarization that acts as a source of contamination to searches for B modes generated by primordial…

astro-ph.HE2026

Polarization Angle Swings in Blazars Detected in the Millimeter-wave with the South Pole Telescope

A. Simpson, E. Anderes, A. J. Anderson +93

We present the first systematic search for electric vector position angle (EVPA) swings in the millimeter-wave (mm-wave) emission of blazars, using five years of observations from…

astro-ph.CO2026

SPT-3G D1: A Measurement of Secondary Cosmic Microwave Background Anisotropy Power

P. Chaubal, N. Huang, C. L. Reichardt +104

The authors present new measurements of the small‑scale CMB temperature power spectrum from two years of SPT‑3G data, using 95, 150, and 220 GHz observations to constrain thermal a…

astro-ph.CO2026

Measurement of the Full Shape of the Thermal Sunyaev-Zeldovich Power Spectrum from South Pole Telescope and {\it Herschel}-SPIRE Observations

S. Raghunathan, P. A. R. Ade, D. Anbajagane +139

We present a measurement of the full shape of the power spectrum of the thermal Sunyaev-Zeldovich (tSZ) effect down to arcminute scales using cosmic microwave background (CMB) data…

astro-ph.GA2026

GASTON-GP: Source catalogue and millimetre variability of massive protostellar objects

Ji-Xuan Zhou, Nicolas Peretto, A. J. Rigby +56

The processes governing protostellar mass growth remain debated, although episodic accretion is now understood as a key feature of protostellar evolution across all masses. Luminos…

stat.ML2026

Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models

Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré +4

Deep generative models (DGMs) compress high-dimensional data but often entangle distinct physical factors in their latent spaces. We present an auxiliary-variable-guided framework…