7,029 research outputs found

    The new interaction suggested by the anomalous 8^8Be transition sets a rigorous constraint on the mass range of dark matter

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    The WIMPs are considered one of the favorable dark matter (DM) candidates, but as the upper bounds on the interactions between DM and standard model (SM) particles obtained by the upgraded facilities of DM direct detections get lower and lower. Researchers turn their attentions to search for less massive DM candidates, i.e. light dark matter of MeV scale. The recently measured anomalous transition in 8^8Be suggests that there exists a vectorial boson which may mediate the interaction between DM and SM particles. Based on this scenario, we combine the relevant cosmological data to constrain the mass range of DM, and have found that there exists a model parameter space where the requirements are satisfied, a range of 10.4≲mϕ≲10.4 \lesssim m_{\phi} \lesssim 16.7 MeV for scalar DM, and 13.6≲mV≲13.6 \lesssim m_{V} \lesssim 16.7 MeV for vectorial DM is demanded. Then a possibility of directly detecting such light DM particles via the DM-electron scattering is briefly studied in this framework.Comment: 13 Pages, 7 figures, references added, version accepted by journa

    Study on radiative decays of DsJβˆ—(2860)D^*_{sJ}(2860) and Ds1βˆ—(2710)D^*_{s1}(2710) into DsD_s by means of LFQM

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    The observed resonance peak around 2.86 GeV has been carefully reexamined by the LHCb collaboration and it is found that under the peak there reside two states Ds1βˆ—(2860)D^*_{s1}(2860) and Ds3βˆ—(2860)D^*_{s3}(2860) which are considered as 13D1(csΛ‰)1^3D_1(c\bar s) and 13D3(csΛ‰)1^3D_3(c\bar s) with slightly different masses and total widths. Thus, the earlier assumption that the resonance Ds1βˆ—(2710)D^*_{s1}(2710) was a 1D1D state should not be right. We suggest to measure the partial widths of radiative decays of DsJβˆ—(2860)D^*_{sJ}(2860) and Ds1βˆ—(2710)D^*_{s1}(2710) to confirm their quantum numbers. We would consider Ds1βˆ—(2710)D^*_{s1}(2710) as 23S12^3S_1 or a pure 13D11^3D_1 state, or their mixture and respectively calculate the corresponding branching ratios as well as those of DsJβˆ—(2860)D^*_{sJ}(2860). The future precise measurement would provide us information to help identifying the structures of those resonances .Comment: 8 pages, 4 figures, 1 tabl

    Thoracic Disease Identification and Localization with Limited Supervision

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    Accurate identification and localization of abnormalities from radiology images play an integral part in clinical diagnosis and treatment planning. Building a highly accurate prediction model for these tasks usually requires a large number of images manually annotated with labels and finding sites of abnormalities. In reality, however, such annotated data are expensive to acquire, especially the ones with location annotations. We need methods that can work well with only a small amount of location annotations. To address this challenge, we present a unified approach that simultaneously performs disease identification and localization through the same underlying model for all images. We demonstrate that our approach can effectively leverage both class information as well as limited location annotation, and significantly outperforms the comparative reference baseline in both classification and localization tasks.Comment: Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018). V1: CVPR submission; V2: +supplementary; V3: CVPR camera-ready; V4: correction, update reference baseline results according to their latest post; V5: minor correction; V6: Identification results using NIH data splits and various image model
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