scholarly journals Cosmological parameter forecasts by a joint 2D tomographic approach to CMB and galaxy clustering

2021 ◽  
Vol 103 (10) ◽  
Author(s):  
José Ramón Bermejo-Climent ◽  
Mario Ballardini ◽  
Fabio Finelli ◽  
Daniela Paoletti ◽  
Roy Maartens ◽  
...  
Keyword(s):  
Cosmological Parameter ◽  
Galaxy Clustering ◽  
Tomographic Approach

scholarly journals Cosmological parameter constraints from galaxy–galaxy lensing and galaxy clustering with the SDSS DR7

2013 ◽  
Vol 432 (2) ◽  
pp. 1544-1575 ◽  
Author(s):  
Rachel Mandelbaum ◽  
Anže Slosar ◽  
Tobias Baldauf ◽  
Uroš Seljak ◽  
Christopher M. Hirata ◽  
...  
Keyword(s):  
Cosmological Parameter ◽  
Galaxy Clustering ◽  
Parameter Constraints

scholarly journals Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2736
Author(s):  
Zehao Li ◽  
Shunsuke Yoshimoto ◽  
Akio Yamamoto
Keyword(s):  
Inverse Problem ◽  
Theoretical Model ◽  
Low Cost ◽  
Hand Tracking ◽  
Depth Camera ◽  
Capacitance Density ◽  
Evaluation Test ◽  
Density Problem ◽  
Imaging Sensor ◽  
Tomographic Approach

This paper proposes a proximity imaging sensor based on a tomographic approach with a low-cost conductive sheet. Particularly, by defining capacitance density, physical proximity information is transformed into electric potential. A novel theoretical model is developed to solve the capacitance density problem using the tomographic approach. Additionally, a prototype is built and tested based on the model, and the system solves an inverse problem for imaging the capacitance density change that indicates the object’s proximity change. In the evaluation test, the prototype reaches an error rate of 10.0–15.8% in horizontal localization at different heights. Finally, a hand-tracking demonstration is carried out, where a position difference of 33.8–46.7 mm between the proposed sensor and depth camera is achieved at 30 fps.

scholarly journals Quantitative damage imaging in plates based on SH0 mode tomographic approach

2021 ◽  
Vol 1043 (4) ◽  
pp. 042037
Author(s):  
Mubarak Ahmad ◽  
Zenghua Liu ◽  
Abdul Basit ◽  
Wu Bin ◽  
Cunfu He
Keyword(s):  
Damage Imaging ◽  
Tomographic Approach
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