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19922026
Showing 2021 · astro-ph.IMShow all

36 papers · 2 filters

astro-ph.IM2021★ 21 cited

Daily monitoring of scattered light noise due to microseismic variability at the Virgo interferometer

Alessandro Longo, Stefano Bianchi, Guillermo Valdes +2

Data acquired by the Virgo interferometer during the second part of the O3 scientific run, referred to as O3b, were analysed with the aim of characterising the onset and time evolu…

astro-ph.IM2021★ 6 cited

Radio wavefront of very inclined extensive air-showers: a simulation study for extended and sparse radio arrays

Valentin Decoene, Olivier Martineau-Huynh, Matias Tueros

Radio-detection is becoming an established technique for the detection of air showers induced by cosmic particles. This is in particular true at the highest energies, where very la…

astro-ph.IM2021★ 4 cited

Probing the role of magnetic fields in star-forming filaments: NIKA2-Pol commissioning results toward OMC-1

H. Ajeddig, R. Adam, P. Ade +43

Dust polarization observations are a powerful, practical tool to probe the geometry (and to some extent, the strength) of magnetic fields in star-forming regions. In particular, Pl…

astro-ph.IM2021★ 1 cited

PANCO2: a new software to measure pressure profiles from resolved thermal SZ observations

Florian Kéruzoré, Emmanuel Artis, Juan-Francisco Macías-Pérez +4

We have developed a new software to perform the measurement of galaxy cluster pressure profiles from high angular resolution thermal SZ observations. The code allows the user to ta…

astro-ph.IM2021★ 1 cited

Observations with KIDs Interferometer Spectrum Survey(KISS)

A. Fasano, A. Catalano, J. F. Macías-Pérez +33

We describe the preliminary on-sky results of the KIDs Interferometer Spectrum Survey (KISS), a spectral imager with a 1 deg field of view (FoV). The instrument operates in the ran…

astro-ph.IM2021★ 31 cited

Fink: early supernovae Ia classification using active learning

Marco Leoni, Emille E. O. Ishida, Julien Peloton +1

We describe how the Fink broker early supernova Ia classifier optimizes its ML classifications by employing an active learning (AL) strategy. We demonstrate the feasibility of impl…