| 1. |
- Crovisier, J., et al.
(författare)
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The chemical composition of 9P/tempel 1 from radio observations
- 2009
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Ingår i: ESO Astrophysics Symposia. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1431-2433 .- 1611-6143. - 9783540769583 ; 2009, s. 243-248
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Konferensbidrag (refereegranskat)abstract
- In 2005, as part of a world-wide multi-wavelength investigation of comet 9P/Tempel 1 in support to the Deep Impact mission, we conducted radio spectroscopic observations with the Nançay radio telescope, the Odin satellite, the CSO 10-m and the IRAM 30-m telescopes. We report here our results concerning the chemical composition of the comet. The relative abundances of the detected species (H2O, CH3OH, H2S, HCN) or their upper limits (CO, H2CO, CS) are comparable to the mean values observed in other comets. No significant changes of the outgassing rates (except possibly for CH3OH) or of the molecular abundances were observed following the impact.
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| 2. |
- Abramowicz, Marek A, 1945
(författare)
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Super-Eddington black hole accretion: Polish doughnuts and slim disks
- 2005
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Ingår i: In: Growing black holes: accretion in a cosmological context. Proceedings of the MPA/ESO/MPE/USM Joint Astronomy Conference held at Garching, Germany, 21-25 June 2004. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1431-2433. - 3540252754 - 9783540252757 ; , s. 257-273
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Is there an upper limit to the accretion rate dot M, preventing astrophysical black holes to swallow all the matter infalling into them? Many astrophysicists are convinced that the answer to this fundamental question should be: yes, the limit exist and it is given by the standard Eddington accretion rate.
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| 3. |
- Kristensen, Fredrik, et al.
(författare)
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Background segmentation beyond RGB
- 2006
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Ingår i: Computer Vision – ACCV 2006 / Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1611-3349 .- 0302-9743. - 9783540312444 ; 3852, s. 602-612
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Konferensbidrag (refereegranskat)abstract
- To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Crimson algorithm. This paper investigates how different color spaces affect the segmentation result in terms of noise and shadow sensitivity. Shadows are especially problematic since they not only distort shape but can also result in falsely connected objects that will complicate tracking and classification. Therefore, a new decision kernel for the segmentation algorithm is presented. This kernel alters the probability of foreground detection to reduce shadows and to increase the chance of correct segmentation for objects with a skin tone color, e.g. faces.
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