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Monthly Notices of the Royal Astronomical Society
Article . 2024 . Peer-reviewed
License: CC BY
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DIGITAL.CSIC
Article . 2024 . Peer-reviewed
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Biblos-e Archivo
Article . 2024
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC 0
Data sources: Datacite
https://dx.doi.org/10.60692/p7...
Other literature type . 2024
Data sources: Datacite
https://dx.doi.org/10.60692/53...
Other literature type . 2024
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The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation

مسح PAU: قيد جديد على نماذج تشكيل المجرات باستخدام علاقة الانزياح نحو اللون الأحمر المرصودة
Authors: G. Manzoni; C. M. Baugh; Peder Norberg; Laura Cabayol; Jan Luca van den Busch; A Wittje; D Navarro-Gironés; +23 Authors

The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation

Abstract

ABSTRACT We use the GALFORM semi-analytical galaxy formation model implemented in the Planck Millennium N-body simulation to build a mock galaxy catalogue on an observer’s past lightcone. The mass resolution of this N-body simulation is almost an order of magnitude better than in previous simulations used for this purpose, allowing us to probe fainter galaxies and hence build a more complete mock catalogue at low redshifts. The high time cadence of the simulation outputs allows us to make improved calculations of galaxy properties and positions in the mock. We test the predictions of the mock against the Physics of the Accelerating Universe Survey, a narrow-band imaging survey with highly accurate and precise photometric redshifts, which probes the galaxy population over a lookback time of 8 billion years. We compare the model against the observed number counts, redshift distribution, and evolution of the observed colours and find good agreement; these statistics avoid the need for model-dependent processing of the observations. The model produces red and blue populations that have similar median colours to the observations. However, the bimodality of galaxy colours in the model is stronger than in the observations. This bimodality is reduced on including a simple model for errors in the GALFORM photometry. We examine how the model predictions for the observed galaxy colours change when perturbing key model parameters. This exercise shows that the median colours and relative abundance of red and blue galaxies provide constraints on the strength of the feedback driven by supernovae used in the model.

Countries
Spain, China (People's Republic of), Netherlands, Spain
Keywords

Relation (database), Astrophysical Simulations, software: simulations; Surveys, Astronomy, software: simulations, FOS: Mechanical engineering, FOS: Physical sciences, Software: simulations, Galaxies: formation, Surveys, Astrophysics, Database, Engineering, galaxies: high-redshift, Astronomical Instrumentation and Spectroscopy, Constraint (computer-aided design), Galaxy formation and evolution, Instrumentation, Theoretical and Computational Physics, Galaxy Formation and Evolution in the Universe, Physics, Galaxies: high-redshift, Galaxies: evolution, Física, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Redshift, Astrophysics - Astrophysics of Galaxies, Computer science, Mechanical engineering, Red shift, Galaxy, Physics and Astronomy, Redshift survey, Astrophysics of Galaxies (astro-ph.GA), Physical Sciences, (cosmology:) large-scale structure of Universe

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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