Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation5citations
  • 2014X-ray and Weak Lensing Masses for a Sample of 50 Relaxed and Non-Relaxed Clusters of Galaxiescitations
  • 2012The Gemini Cluster Astrophysics Spectroscopic Survey (GCLASS): The Role of Environment and Self-regulation in Galaxy Evolution at z ~ 1318citations

Places of action

Chart of shared publication
Mahdavi, Andisheh
1 / 1 shared
Van Dokkum, Pieter
1 / 2 shared
Franx, Marijn
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Ellingson, Erica
1 / 1 shared
Lacy, Mark
1 / 4 shared
Surace, Jason
1 / 4 shared
Rettura, Alessandro
1 / 1 shared
Lidman, Chris
1 / 1 shared
Webb, Tracy
1 / 1 shared
Nantais, Julie
1 / 1 shared
Hicks, Amalia
1 / 1 shared
Muzzin, Adam
1 / 1 shared
Wilson, Gillian
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Noble, Allison
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Yee, H. K. C.
1 / 1 shared
Gilbank, David
1 / 1 shared
Demarco, Ricardo
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Balogh, Michael
1 / 1 shared
Chart of publication period
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2014
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Co-Authors (by relevance)

  • Mahdavi, Andisheh
  • Van Dokkum, Pieter
  • Franx, Marijn
  • Ellingson, Erica
  • Lacy, Mark
  • Surace, Jason
  • Rettura, Alessandro
  • Lidman, Chris
  • Webb, Tracy
  • Nantais, Julie
  • Hicks, Amalia
  • Muzzin, Adam
  • Wilson, Gillian
  • Noble, Allison
  • Yee, H. K. C.
  • Gilbank, David
  • Demarco, Ricardo
  • Balogh, Michael
OrganizationsLocationPeople

article

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

  • Vandenbusch, J. L.
  • Vela, Pablo Fosalba
  • Norberg, P.
  • Sevilla-Noarbe, I.
  • Hoekstra, Henk
  • Siudek, Malgorzata
  • Casas, R.
  • Miquel, R.
  • Sanchez, Eusebio
  • Tortorelli, Luca
  • Fernandez, E.
  • Garcia-Bellido, Juan
  • Gaztanaga, E.
  • Baugh, Carlton
  • Cabayol, L.
  • Wittje, A.
  • Gonzalez, Elizabeth
  • Padilla, C.
  • Koonkor, S.
  • Eriksen, M.
  • Carretero, J.
  • Navarro Gironés, David
  • Renard, Pablo
  • Tallada-Crespì, P.
  • Helly, J. C.
  • Castander, Francisco Javier
  • Vicente-Albendea, Juan De
  • Hildebrandt, H.
Abstract

<jats:title>ABSTRACT</jats:title><jats:p>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.</jats:p>

Topics
  • impedance spectroscopy
  • simulation
  • strength