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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Stereophotoclinometry for OSIRIS-REx Spacecraft Navigation5citations
  • 2023Post-flight Evaluation of Lidar-based Digital Terrain Models for OSIRIS-REx Navigation at Bennu3citations
  • 2013Ballistic spin transport in exciton gases20citations

Places of action

Chart of shared publication
Wibben, Daniel
1 / 1 shared
Nelson, Derek
1 / 1 shared
Pelgrift, John
1 / 1 shared
Lessac-Chenen, Erik
1 / 1 shared
Gaskell, Robert
1 / 2 shared
Lauretta, Dante
2 / 4 shared
Antreasian, Peter
2 / 2 shared
Mccarthy, Leilah
2 / 2 shared
Geeraert, Jeroen
2 / 2 shared
Moreau, Michael
1 / 1 shared
Weirich, John
1 / 3 shared
Williams, Bobby
1 / 1 shared
Getzandanner, Kenneth
1 / 2 shared
Ashman, Benjamin
1 / 1 shared
Sahr, Eric
1 / 1 shared
Vladimirova, Maria
1 / 5 shared
Butov, Leonid
1 / 1 shared
Liew, Timothy
1 / 1 shared
Jouault, Benoit
1 / 5 shared
Kavokin, Alexey
1 / 2 shared
Chart of publication period
2023
2013

Co-Authors (by relevance)

  • Wibben, Daniel
  • Nelson, Derek
  • Pelgrift, John
  • Lessac-Chenen, Erik
  • Gaskell, Robert
  • Lauretta, Dante
  • Antreasian, Peter
  • Mccarthy, Leilah
  • Geeraert, Jeroen
  • Moreau, Michael
  • Weirich, John
  • Williams, Bobby
  • Getzandanner, Kenneth
  • Ashman, Benjamin
  • Sahr, Eric
  • Vladimirova, Maria
  • Butov, Leonid
  • Liew, Timothy
  • Jouault, Benoit
  • Kavokin, Alexey
OrganizationsLocationPeople

article

Post-flight Evaluation of Lidar-based Digital Terrain Models for OSIRIS-REx Navigation at Bennu

  • Geeraert, Jeroen
  • Leonard, Jason
  • Lauretta, Dante
  • Antreasian, Peter
  • Mccarthy, Leilah
Abstract

<jats:title>Abstract</jats:title><jats:p>The Origins, Spectral Interpretation, Resource Identification, and Security–Regolith Explorer (OSIRIS-REx) spacecraft spent more than 2 yr characterizing near-Earth asteroid (101955) Bennu. The OSIRIS-REx Laser Altimeter (OLA) was responsible for producing the most accurate reconstruction of the asteroid’s surface—down to a global resolution of around 5 cm with a data precision of ±1.25 cm. However, the best-quality global OLA digital terrain model (DTM), version 21 (v21), was not available for navigation during proximity operations, nor was the utility of this model evaluated for processing images and altimeter data for navigation. The focus of this paper is the post-flight assessment of the final OLA v21 DTM, its performance for navigation-related analysis, and estimates of corrections needed for the DTM and measurement models. We created 15 cm resolution maplets for processing optical navigation (OpNav) data, and 5 cm resolution DTMs for processing altimeter data, to estimate a combined spacecraft trajectory over five phases of the mission. Our estimated corrections to the OLA instrument model produce altimeter data residuals with a precision of 7.12 cm (1<jats:italic>σ</jats:italic>;one standard deviation from the mean). The OpNav maplets produce image residuals at 0.2 px (1<jats:italic>σ</jats:italic>) and estimated landmark locations accurate to ±6 cm, outperforming DTM navigation-related performance requirements. Finally, our estimate of the global DTM scale is more precise and within 1.1<jats:italic>σ</jats:italic> of previously reported values. We find that a slight discrepancy persists between the image and altimeter data, with image data suggesting that the DTM is too small by 0.049%, but nevertheless is exceptional for navigation.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • phase