27 citations · 121 across the 24 of their papers we have counts for
8 papers · 1 filter
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…
Broadband Polarized Radio Emission Detected from Starlink Satellites Below 100 MHz with NenuFAR
X. Zhang, P. Zarka, C. Viou +16
This study evaluates the impact of Starlink satellites on low-frequency radio astronomy below 100 MHz, focusing on challenges on data processing and scientific goals. We conducted…
Near-field imaging of local interference in radio interferometric data: Impact on the redshifted 21 cm power spectrum
S. Munshi, F. G. Mertens, L. V. E. Koopmans +24
Radio-frequency interference (RFI) is a major systematic limitation in radio astronomy, particularly for science cases requiring high sensitivity, such as 21 cm cosmology. Traditio…
The Dark Ages Explorer (DEX): a filled-aperture ultra-long wavelength radio interferometer on the lunar far side
C. D. Brinkerink, M. J. Arts, M. J. Bentum +21
The measurement of the spatial fluctuations of the neutral hydrogen 21 cm signal arising during the Dark Ages and Cosmic Dawn periods of our Universe (z from 200 to 10) holds the p…
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…
Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using Data-driven Systematic Effect Model
Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens +11
Neutral hydrogen (HI) serves as a crucial probe for the Cosmic Dawn and the Epoch of Reionization (EoR). Actual observations of the 21-cm signal often encounter challenges such as…
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
R. Pearce-Casey, B. C. Nagam, J. Wilde +204
The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…