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- National ObservatoryBR701 papers
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6 papers · 2 filters
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…
J-PLUS: Turning Off the Bright Stars
Sepideh Eskandarlou, Mohammad Akhlaghi, Johan H. Knapen +23
Photometric surveys require precise point spread function (PSF) characterization, as it varies across filters and is crucial for accurate photometry and low surface brightness (LSB…
On the use of the Derivative Approximation for Likelihoods for Gravitational Wave Inference
Josiel Mendonça Soares de Souza, Miguel Quartin
Posterior inference on the more than a dozen parameters governing a gravitational wave (GW) event is challenging. A typical MCMC analysis can take around CPU hours, and next…
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…
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…