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
693.932 People People

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Show results for 693.932 people that are selected by your search filters.

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Naji, M.
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  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2018A new physical interpretation of optical and infrared variability in quasars124citations
  • 2016The AllWISE Motion Survey, Part 295citations
  • 2011z ~ 4 Hα Emitters in the Great Observatories Origins Deep Survey: Tracing the Dominant Mode for Growth of Galaxies153citations
  • 2006The Hubble Deep Field-North SCUBA Super-map - IV. Characterizing submillimetre galaxies using deep Spitzer imaging313citations

Places of action

Chart of shared publication
Jun, Hyunsung D.
1 / 1 shared
Lang, Dustin
1 / 1 shared
Drake, Andrew J.
1 / 1 shared
Meisner, Aaron M.
1 / 1 shared
Assef, Roberto J.
1 / 1 shared
Ford, K. E. Saavik
1 / 1 shared
Graham, Matthew
1 / 1 shared
Ross, Nicholas P.
1 / 1 shared
Dey, Arjun
1 / 2 shared
Mckernan, Barry
1 / 1 shared
Logsdon, Sarah E.
1 / 1 shared
Kirkpatrick, J. Davy
1 / 1 shared
Martin, Emily C.
1 / 1 shared
Sheppard, Scott S.
1 / 1 shared
Lansbury, George B.
1 / 1 shared
Fajardo-Acosta, Sergio
1 / 1 shared
Faherty, Jacqueline K.
1 / 1 shared
Cushing, Michael C.
1 / 1 shared
Kellogg, Kendra
1 / 1 shared
Schneider, Adam C.
1 / 1 shared
Gelino, Christopher R.
1 / 1 shared
Wright, Edward L.
1 / 2 shared
Greco, Jennifer
1 / 1 shared
Mace, Gregory N.
1 / 1 shared
Eisenhardt, Peter R. M.
1 / 1 shared
Cutri, Roc M.
1 / 1 shared
Conrow, Tim
1 / 1 shared
Mclean, Ian S.
1 / 1 shared
Schurr, Steven D.
1 / 1 shared
Shim, Hyunjin
1 / 1 shared
Yan, Chi-Hung
1 / 2 shared
Dickinson, Mark
2 / 7 shared
Chary, Ranga-Ram
2 / 3 shared
Spinrad, Hyron
1 / 1 shared
Lin, Lihwai
1 / 2 shared
Scott, Douglas
1 / 2 shared
Pope, Alexandra
1 / 2 shared
Macdonald, Emily
1 / 2 shared
Borys, Colin
1 / 1 shared
Morrison, Glenn
1 / 2 shared
Alexander, David M.
1 / 4 shared
Frayer, David
1 / 1 shared
Daddi, Emanuele
1 / 4 shared
Sajina, Anna
1 / 2 shared
Chart of publication period
2018
2016
2011
2006

Co-Authors (by relevance)

  • Jun, Hyunsung D.
  • Lang, Dustin
  • Drake, Andrew J.
  • Meisner, Aaron M.
  • Assef, Roberto J.
  • Ford, K. E. Saavik
  • Graham, Matthew
  • Ross, Nicholas P.
  • Dey, Arjun
  • Mckernan, Barry
  • Logsdon, Sarah E.
  • Kirkpatrick, J. Davy
  • Martin, Emily C.
  • Sheppard, Scott S.
  • Lansbury, George B.
  • Fajardo-Acosta, Sergio
  • Faherty, Jacqueline K.
  • Cushing, Michael C.
  • Kellogg, Kendra
  • Schneider, Adam C.
  • Gelino, Christopher R.
  • Wright, Edward L.
  • Greco, Jennifer
  • Mace, Gregory N.
  • Eisenhardt, Peter R. M.
  • Cutri, Roc M.
  • Conrow, Tim
  • Mclean, Ian S.
  • Schurr, Steven D.
  • Shim, Hyunjin
  • Yan, Chi-Hung
  • Dickinson, Mark
  • Chary, Ranga-Ram
  • Spinrad, Hyron
  • Lin, Lihwai
  • Scott, Douglas
  • Pope, Alexandra
  • Macdonald, Emily
  • Borys, Colin
  • Morrison, Glenn
  • Alexander, David M.
  • Frayer, David
  • Daddi, Emanuele
  • Sajina, Anna
OrganizationsLocationPeople

article

The Hubble Deep Field-North SCUBA Super-map - IV. Characterizing submillimetre galaxies using deep Spitzer imaging

  • Scott, Douglas
  • Pope, Alexandra
  • Macdonald, Emily
  • Borys, Colin
  • Morrison, Glenn
  • Alexander, David M.
  • Frayer, David
  • Daddi, Emanuele
  • Stern, Daniel
  • Dickinson, Mark
  • Sajina, Anna
  • Chary, Ranga-Ram
Abstract

We present spectral energy distributions (SEDs), Spitzer colours, and infrared (IR) luminosities for 850-μm selected galaxies in the Great Observatories Origins Deep Survey Northern (GOODS-N) field. Using the deep Spitzer Legacy images and new data and reductions of the Very Large Array-Hubble Deep Field (VLA-HDF) radio data, we find statistically secure counterparts for 60 per cent (21/35) of our submillimetre (submm) sample, and identify tentative counterparts for another 12 objects. This is the largest sample of submm galaxies with statistically secure counterparts detected in the radio and with Spitzer. Half of the secure counterparts have spectroscopic redshifts, while the other half have photometric redshifts. We find that in most cases the 850-μm emission is dominated by a single 24-μm source, with a median flux density of 241μJy, leading to a median 24-to-850-μm flux density ratio of 0.040. A composite rest-frame SED shows that the submm sources peak at longer wavelengths than those of local ultraluminous infrared galaxies (ULIRGs). Using a basic grey-body model, 850-μm selected galaxies appear to be cooler than local ULIRGs of the same luminosity. This demonstrates the strong selection effects, both locally and at high redshift, which may lead to an incomplete census of the ULIRG population. The SEDs of submm galaxies are also different from those of their high-redshift neighbours, the near-IR selected BzK galaxies, whose mid-IR-to-radio SEDs are more like those of local ULIRGs. Using 24-μm, 850-μm and 1.4-GHz observations, we fit templates that span the mid-IR through radio to derive the integrated IR luminosity (LIR) of the submm galaxies and find a median value of L<SUB>IR</SUB>(8-1000μm) = 6.0 × 10<SUP>12</SUP> L<SUB>solar</SUB>. By themselves, 24-μm and radio fluxes are able to predict L<SUB>IR</SUB> reasonably well because they are relatively insensitive to temperature. However, the submm flux by itself consistently overpredicts L<SUB>IR</SUB> when using spectral templates which obey the local ULIRG temperature-luminosity relation. The shorter Spitzer wavelengths sample the stellar bump at the redshifts of the submm sources, and we find that the Spitzer photometry alone provides a model-independent estimate of the redshift, σ[∆z/(1 + z)] = 0.07. The median redshift for our secure submm counterparts is 2.0. Using X-ray and mid-IR data, only 5 per cent of our secure counterparts (1/21) show strong evidence for an active galactic nucleus dominating the LIR....

Topics
  • density
  • impedance spectroscopy
  • composite