The role of He and Ar isotopes in tracing the source of ore fluids has aroused great attention of the broad masses of the geological researchers. On the basis of lots of test and measurement of He and Ar isotopes in s...The role of He and Ar isotopes in tracing the source of ore fluids has aroused great attention of the broad masses of the geological researchers. On the basis of lots of test and measurement of He and Ar isotopes in sulfides from Au, Ag polymetallic ore deposits in northern China, statistics has been made on the published He and Ar isotope data from 27 gold deposits, 13 silver polymetallic ore deposits, 8 polymetallic ore deposits, 1 rare-earth deposit, 3 oceanic incrustations, 3 volcanic springs and their wall rocks and granites. The statistical results indicate that the 3 He/ 4 Ar (×10-6 ) values of the Au, Ag polymetallic ore deposits are within the range of 0.24 9.39, with an average of 3.34×10-6 ; the He/Ar values, 0.007 6.01,with an average of 2.37; the 40 Ar/ 36 Ar values, 265.75 2361, with an average of 699.0; the 4 He/ 40 Ar values, 0.0020 643.86, with an average of 5.85, the 3 He/ 4 Ar (×10-6 ) values of gneiss and granite surrounding the mining area, 0.001 1.79, with an average of 1.00×10-6 , reflecting great differences in source. Mantle-source He in 48 Au, Ag polymetallic ore deposits accounts for 4.55% 83.06%, averaging 29.91%. It falls near the mantle-source region which can be seen in the He isotopic concentration diagram and the 3 He/ 4 He(R/Ra) 40 Ar/ 36 Ar plot. Studies suggested that the ore-forming materials for endogenic Au, Ag polymetallic ore deposits should be derived from the deep interior of the Earth, and with the multi-stage evolution of mantle plumes the deep-seated ore fluids would be transported from the deep interior of the Earth to the shallow levels. During this process the mixing of crust/mantle-source fluids would inevitably occur, therefore, the value range always lies between the mantle and the crust.展开更多
Camera pose estimation with respect to target scenes is an important technology for superimposing virtual information in augmented reality(AR). However, it is difficult to estimate the camera pose for all possible vie...Camera pose estimation with respect to target scenes is an important technology for superimposing virtual information in augmented reality(AR). However, it is difficult to estimate the camera pose for all possible view angles because feature descriptors such as SIFT are not completely invariant from every perspective. We propose a novel method of robust camera pose estimation using multiple feature descriptor databases generated for each partitioned viewpoint, in which the feature descriptor of each keypoint is almost invariant. Our method estimates the viewpoint class for each input image using deep learning based on a set of training images prepared for each viewpoint class. We give two ways to prepare these images for deep learning and generating databases. In the first method, images are generated using a projection matrix to ensure robust learning in a range of environments with changing backgrounds.The second method uses real images to learn a given environment around a planar pattern. Our evaluation results confirm that our approach increases the number of correct matches and the accuracy of camera pose estimation compared to the conventional method.展开更多
After determining that sulfur is the main mineralizer of ore forming fluid of Ailaoshan gold mineralization belt in west Yunnan Province of China, the S, He and Ar isotope compositions and geological events related to...After determining that sulfur is the main mineralizer of ore forming fluid of Ailaoshan gold mineralization belt in west Yunnan Province of China, the S, He and Ar isotope compositions and geological events related to gold mineralization are studied. It is revealed that the ore forming fluid of the belt is a mixture of high temperature S rich deep seated fluid and low temperature S depleted meteoric groundwater. That the gold mineralization occurred in early Himalayan period resulted dominantly from the mantle degassing which was associated with the crust extension at that time. The forming and evolving process of ore forming fluid can be determined as: S rich deep seated fluid ascended and added to S depleted meteogenic fluid cycling in shallow fracture systems of the belt in early Himalayan period →the S depleted meteogenic fluid converted to the mixing fluid containing sufficient S→gold in surrounding rocks was extracted by the mixing fluid, and then precipitated at a suitable place to form the gold deposits.展开更多
文摘The role of He and Ar isotopes in tracing the source of ore fluids has aroused great attention of the broad masses of the geological researchers. On the basis of lots of test and measurement of He and Ar isotopes in sulfides from Au, Ag polymetallic ore deposits in northern China, statistics has been made on the published He and Ar isotope data from 27 gold deposits, 13 silver polymetallic ore deposits, 8 polymetallic ore deposits, 1 rare-earth deposit, 3 oceanic incrustations, 3 volcanic springs and their wall rocks and granites. The statistical results indicate that the 3 He/ 4 Ar (×10-6 ) values of the Au, Ag polymetallic ore deposits are within the range of 0.24 9.39, with an average of 3.34×10-6 ; the He/Ar values, 0.007 6.01,with an average of 2.37; the 40 Ar/ 36 Ar values, 265.75 2361, with an average of 699.0; the 4 He/ 40 Ar values, 0.0020 643.86, with an average of 5.85, the 3 He/ 4 Ar (×10-6 ) values of gneiss and granite surrounding the mining area, 0.001 1.79, with an average of 1.00×10-6 , reflecting great differences in source. Mantle-source He in 48 Au, Ag polymetallic ore deposits accounts for 4.55% 83.06%, averaging 29.91%. It falls near the mantle-source region which can be seen in the He isotopic concentration diagram and the 3 He/ 4 He(R/Ra) 40 Ar/ 36 Ar plot. Studies suggested that the ore-forming materials for endogenic Au, Ag polymetallic ore deposits should be derived from the deep interior of the Earth, and with the multi-stage evolution of mantle plumes the deep-seated ore fluids would be transported from the deep interior of the Earth to the shallow levels. During this process the mixing of crust/mantle-source fluids would inevitably occur, therefore, the value range always lies between the mantle and the crust.
文摘Camera pose estimation with respect to target scenes is an important technology for superimposing virtual information in augmented reality(AR). However, it is difficult to estimate the camera pose for all possible view angles because feature descriptors such as SIFT are not completely invariant from every perspective. We propose a novel method of robust camera pose estimation using multiple feature descriptor databases generated for each partitioned viewpoint, in which the feature descriptor of each keypoint is almost invariant. Our method estimates the viewpoint class for each input image using deep learning based on a set of training images prepared for each viewpoint class. We give two ways to prepare these images for deep learning and generating databases. In the first method, images are generated using a projection matrix to ensure robust learning in a range of environments with changing backgrounds.The second method uses real images to learn a given environment around a planar pattern. Our evaluation results confirm that our approach increases the number of correct matches and the accuracy of camera pose estimation compared to the conventional method.
文摘After determining that sulfur is the main mineralizer of ore forming fluid of Ailaoshan gold mineralization belt in west Yunnan Province of China, the S, He and Ar isotope compositions and geological events related to gold mineralization are studied. It is revealed that the ore forming fluid of the belt is a mixture of high temperature S rich deep seated fluid and low temperature S depleted meteoric groundwater. That the gold mineralization occurred in early Himalayan period resulted dominantly from the mantle degassing which was associated with the crust extension at that time. The forming and evolving process of ore forming fluid can be determined as: S rich deep seated fluid ascended and added to S depleted meteogenic fluid cycling in shallow fracture systems of the belt in early Himalayan period →the S depleted meteogenic fluid converted to the mixing fluid containing sufficient S→gold in surrounding rocks was extracted by the mixing fluid, and then precipitated at a suitable place to form the gold deposits.
