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Using the SourceXtractor++ package for data reduction
M. Kümmel, A. Álvarez-Ayllón, E. Bertin +4
The Euclid satellite is an ESA mission scheduled for launch in September 2023. To optimally perform critical stages of the data reduction, such as object detection and morphology d…
Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes
J. Prat, G. Zacharegkas, Y. Park +112
Recent cosmological analyses with large-scale structure and weak lensing measurements, usually referred to as 32pt, had to discard a lot of signal-to-noise from small scale…
The Dark Energy Survey Year 3 high redshift sample: Selection, characterization and analysis of galaxy clustering
C. Sánchez, A. Alarcon, G. M. Bernstein +97
The fiducial cosmological analyses of imaging galaxy surveys like the Dark Energy Survey (DES) typically probe the Universe at redshifts . This is mainly because of the limi…
Mapping Variations of Redshift Distributions with Probability Integral Transforms
J. Myles, D. Gruen, A. Amon +66
We present a method for mapping variations between probability distribution functions and apply this method within the context of measuring galaxy redshift distributions from imagi…
Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies
Euclid Collaboration, E. Merlin, M. Castellano +218
The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…
Dark Energy Survey Year 3 results: Magnification modeling and impact on cosmological constraints from galaxy clustering and galaxy-galaxy lensing
J. Elvin-Poole, N. MacCrann, S. Everett +93
We study the effect of magnification in the Dark Energy Survey Year 3 analysis of galaxy clustering and galaxy-galaxy lensing, using two different lens samples: a sample of Luminou…