3.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Slovak Academy of SciencesSK377 papers
- Centre National de la Recherche ScientifiqueFR328 papers
- University of GroningenNL256 papers
- Instituto de Astrofísica de CanariasES218 papers
- Leiden UniversityNL201 papers
- University of AmsterdamNL199 papers
- Université Paris CitéFR193 papers
- National Institute for AstrophysicsIT192 papers
- Czech Academy of Sciences, Astronomical InstituteCZ181 papers
- Sorbonne UniversitéFR178 papers
- Max Planck Institute for AstronomyDE177 papers
- Goddard Space Flight CenterUS172 papers
18 papers · 2 filters
Lossless compression of simulated radio interferometric visibilities
A. R. Offringa, R. J. van Weeren
Context. Processing radio interferometric data often requires storing forward-predicted model data. In direction-dependent calibration, these data may have a volume an order of mag…
The impact of lunar topography on the 21-cm power spectrum for grid-based arrays : Insights for the Dark-ages EXplorer (DEX)
S. Ghosh, L. V. E. Koopmans, C. Brinkerink +17
The Dark Ages (DA) provides a crucial window into the physics of the infant Universe, with the 21-cm signal offering the only direct probe for mapping out the three-dimensional dis…
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…
AMKID -- a large KID-based camera at the APEX telescope
N. Reyes, A. Weiss, S. J. C. Yates +26
The thermal emission at sub-millimeter wavelengths carries unique information in many astronomical applications ranging from disks and planet formation around young stars, to galax…
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…
The evolution of PUCHEROS from a basic to a competitive tool for stellar astrophysics
Luca Antonucci, Leonardo Vanzi, Abner Zapata +16
We present PUCHEROS +, a new spectrograph developed as an enhanced version of PUCHEROS (Pontificia Universidad Catolica High Echelle Resolution Optical Spectrograph), which was the…
PLATOSpec: a precise spectrograph in support of space missions
P. Kabáth, M. Skarka, A. Hatzes +42
The upcoming space missions that will characterize exoplanets, such as PLATO and Ariel, will collect huge amounts of data that will need to be complemented with ground-based observ…
BGRem: A background noise remover for astronomical images based on a diffusion model
Rodney Nicolaas, Sascha Caron, Fiorenzo Stoppa +4
Context: Astronomical imaging aims to maximize signal capture while minimizing noise. Enhancing the signal-to-noise ratio directly on detectors is difficult and expensive, leading…
Beyond the Clouds: Advanced Data Analysis of a Dutch Sky Quality Meter Network
Farhan R. Shah, Reynier F. Peletier, Jake Noel-Storr +11
Light pollution is an increasing environmental concern, impacting both ecological systems and human health. This report presents an analysis of light pollution data from the washet…
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…
Observation of the Crab Nebula with the Single-Mirror Small-Size Telescope stereoscopic system at low altitude
C. Alispach, A. Araudo, M. Balbo +63
The Single-Mirror Small-Size Telescope (SST-1M) stereoscopic system is composed of two Imaging Atmospheric Cherenkov Telescopes (IACTs) designed for optimal performance for gamma-r…
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…
The Mini-SiTian Array: Optical design
Zi-Jian Han, Zheng-Yang Li, Chao Chen +6
Time-domain astronomy is one of the most important areas. Large sky area, deep-field, and short timescale are the priority of time-domain observations. SiTian is an ambitious groun…
Robust direction-dependent gain-calibration of beam-modelling errors far from the target field
S. A. Brackenhoff, A. R. Offringa, M. Mevius +8
Many astronomical questions require deep, wide-field observations at low radio frequencies. Phased arrays like LOFAR and SKA-low are designed for this, but have inherently unstable…
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…
Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment
A. Bonaldi, P. Hartley, R. Braun +179
We present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organis…
Reducing false positives in strong lens detection through effective augmentation and ensemble learning
Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam +4
This research studies the impact of high-quality training datasets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress th…