Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

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

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Mennella, A.

  • Google
  • 2
  • 11
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2006Planck LFI Data Processing During Instrument Calibration Testscitations
  • 2003The scientific impact of signal quantization on Planck/LFI observationscitations

Places of action

Chart of shared publication
Türler, M.
1 / 4 shared
Rohlfs, R.
1 / 3 shared
Maris, Michele
2 / 2 shared
Morisset, N.
1 / 4 shared
Dupac, X.
1 / 1 shared
Fogliani, S.
1 / 1 shared
Maino, D.
2 / 2 shared
Zacchei, Andrea
1 / 5 shared
Burigana, C.
1 / 2 shared
Pasian, F.
1 / 4 shared
Bersanelli, M.
1 / 2 shared
Chart of publication period
2006
2003

Co-Authors (by relevance)

  • Türler, M.
  • Rohlfs, R.
  • Maris, Michele
  • Morisset, N.
  • Dupac, X.
  • Fogliani, S.
  • Maino, D.
  • Zacchei, Andrea
  • Burigana, C.
  • Pasian, F.
  • Bersanelli, M.
OrganizationsLocationPeople

article

The scientific impact of signal quantization on Planck/LFI observations

  • Maris, Michele
  • Mennella, A.
  • Burigana, C.
  • Maino, D.
  • Pasian, F.
  • Bersanelli, M.
Abstract

The real data processing of the signal observed by the Planck Low Frequency Instrument (LFI) introduces systematic effects in the time ordered data (TOD), maps and, finally, in the reconstruction of the sky angular power spectrum C_l<SUP>sky</SUP>. With analytical and numerical methods we studied the signal quantization of LFI TOD in order to evaluate the possibility to model and remove its effect on the C_l<SUP>sky</SUP> recovery. We find that it introduces a power excess, C_l<SUP>ex</SUP>, only weakly dependent on the multipole l at middle and large l. It can be quite accurately subtracted, leaving an uncertainty, DeltaC_l<SUP>ex</SUP>, of only 1-2% of the RMS uncertainty, Delta C_l<SUP>noise</SUP>, on C_l<SUP>sky</SUP> reconstruction due to the noise power, C_l<SUP>noise</SUP>.

Topics