Photometric redshift calibration with self-organising maps
A&A, 637 (2020) A100
Published online: 2020-05-28
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https://doi.org/10.1088/1475-7516/2021/03/067
KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis
B. Joachimi, C.-A. Lin, M. Asgari, et al.Astronomy & Astrophysics 646 A129 (2021)
https://doi.org/10.1051/0004-6361/202038831
Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies
J Myles, A Alarcon, A Amon, et al.Monthly Notices of the Royal Astronomical Society 505 (3) 4249 (2021)
https://doi.org/10.1093/mnras/stab1515
Magnification bias in galaxy surveys with complex sample selection functions
Maximilian von Wietersheim-Kramsta, Benjamin Joachimi, Jan Luca van den Busch, et al.Monthly Notices of the Royal Astronomical Society 504 (1) 1452 (2021)
https://doi.org/10.1093/mnras/stab1000
KiDS-1000 Cosmology: Constraints beyond flat ΛCDM
Tilman Tröster, Marika Asgari, Chris Blake, et al.Astronomy & Astrophysics 649 A88 (2021)
https://doi.org/10.1051/0004-6361/202039805
Strong detection of the CMB lensing and galaxy weak lensing cross-correlation from ACT-DR4,PlanckLegacy, and KiDS-1000
Naomi Clare Robertson, David Alonso, Joachim Harnois-Déraps, et al.Astronomy & Astrophysics 649 A146 (2021)
https://doi.org/10.1051/0004-6361/202039975
KiDS-1000 cosmology: Cosmic shear constraints and comparison between two point statistics
Marika Asgari, Chieh-An Lin, Benjamin Joachimi, et al.Astronomy & Astrophysics 645 A104 (2021)
https://doi.org/10.1051/0004-6361/202039070
KiDS-1000 catalogue: Weak gravitational lensing shear measurements
Benjamin Giblin, Catherine Heymans, Marika Asgari, et al.Astronomy & Astrophysics 645 A105 (2021)
https://doi.org/10.1051/0004-6361/202038850
The growth of density perturbations in the last ∼10 billion years from tomographic large-scale structure data
Carlos García-García, Jaime Ruiz-Zapatero, David Alonso, et al.Journal of Cosmology and Astroparticle Physics 2021 (10) 030 (2021)
https://doi.org/10.1088/1475-7516/2021/10/030
KiDS+VIKING-450: An internal-consistency test for cosmic shear tomography with a colour-based split of source galaxies
Shun-Sheng Li, Konrad Kuijken, Henk Hoekstra, et al.Astronomy & Astrophysics 646 A175 (2021)
https://doi.org/10.1051/0004-6361/202039254
KiDS-1000 catalogue: Redshift distributions and their calibration
H. Hildebrandt, J. L. van den Busch, A. H. Wright, et al.Astronomy & Astrophysics 647 A124 (2021)
https://doi.org/10.1051/0004-6361/202039018
Probing galaxy bias and intergalactic gas pressure with KiDS Galaxies-tSZ-CMB lensing cross-correlations
Ziang Yan, Ludovic van Waerbeke, Tilman Tröster, et al.Astronomy & Astrophysics 651 A76 (2021)
https://doi.org/10.1051/0004-6361/202140568
Geometry versus growth
Jaime Ruiz-Zapatero, Benjamin Stölzner, Benjamin Joachimi, et al.Astronomy & Astrophysics 655 A11 (2021)
https://doi.org/10.1051/0004-6361/202141350
Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case
Massimo Brescia, Stefano Cavuoti, Oleksandra Razim, et al.Frontiers in Astronomy and Space Sciences 8 (2021)
https://doi.org/10.3389/fspas.2021.658229
CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology
M Aguena, C Avestruz, C Combet, et al.Monthly Notices of the Royal Astronomical Society 508 (4) 6092 (2021)
https://doi.org/10.1093/mnras/stab2764
Testing KiDS cross-correlation redshifts with simulations
J. L. van den Busch, H. Hildebrandt, A. H. Wright, et al.Astronomy & Astrophysics 642 A200 (2020)
https://doi.org/10.1051/0004-6361/202038835
Euclid preparation
V. Guglielmo, R. Saglia, F. J. Castander, et al.Astronomy & Astrophysics 642 A192 (2020)
https://doi.org/10.1051/0004-6361/202038334
KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear
S. Joudaki, H. Hildebrandt, D. Traykova, et al.Astronomy & Astrophysics 638 L1 (2020)
https://doi.org/10.1051/0004-6361/201936154
KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps
Angus H. Wright, Hendrik Hildebrandt, Jan Luca van den Busch, et al.Astronomy & Astrophysics 640 L14 (2020)
https://doi.org/10.1051/0004-6361/202038389
Analytic marginalization of N(z) uncertainties in tomographic galaxy surveys
Boryana Hadzhiyska, David Alonso, Andrina Nicola and Anže SlosarJournal of Cosmology and Astroparticle Physics 2020 (10) 056 (2020)
https://doi.org/10.1088/1475-7516/2020/10/056
Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model – Application to realistic N-body simulations
Alex Alarcon, Carles Sánchez, Gary M Bernstein and Enrique GaztañagaMonthly Notices of the Royal Astronomical Society 498 (2) 2614 (2020)
https://doi.org/10.1093/mnras/staa2478
Propagating sample variance uncertainties in redshift calibration: simulations, theory, and application to the COSMOS2015 data
Carles Sánchez, Marco Raveri, Alex Alarcon and Gary M BernsteinMonthly Notices of the Royal Astronomical Society 498 (2) 2984 (2020)
https://doi.org/10.1093/mnras/staa2542