32 research outputs found

    L dwarfs detection from SDSS images using improved Faster R-CNN

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    We present a data-driven approach to automatically detect L dwarfs from Sloan Digital Sky Survey(SDSS) images using an improved Faster R-CNN framework based on deep learning. The established L dwarf automatic detection (LDAD) model distinguishes L dwarfs from other celestial objects and backgrounds in SDSS field images by learning the features of 387 SDSS images containing L dwarfs. Applying the LDAD model to the SDSS images containing 93 labeled L dwarfs in the test set, we successfully detected 83 known L dwarfs with a recall rate of 89.25% for known L dwarfs. Several techniques are implemented in the LDAD model to improve its detection performance for L dwarfs,including the deep residual network and the feature pyramid network. As a result, the LDAD model outperforms the model of the original Faster R-CNN, whose recall rate of known L dwarfs is 80.65% for the same test set. The LDAD model was applied to detect L dwarfs from a larger validation set including 843 labeled L dwarfs, resulting in a recall rate of 94.42% for known L dwarfs. The newly identified candidates include L dwarfs, late M and T dwarfs, which were estimated from color (i-z) and spectral type relation. The contamination rates for the test candidates and validation candidates are 8.60% and 9.27%, respectively. The detection results indicate that our model is effective to search for L dwarfs from astronomical images.Comment: 12 pages, 10 figures, accepted to be published in A

    Excitation-wavelength-dependent small polaron trapping of photoexcited carriers in Ī±-Fe_2O_3

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    Small polaron formation is known to limit ground-state mobilities in metal oxide photocatalysts. However, the role of small polaron formation in the photoexcited state and how this affects the photoconversion efficiency has yet to be determined. Here, transient femtosecond extreme-ultraviolet measurements suggest that small polaron localization is responsible for the ultrafast trapping of photoexcited carriers in haematite (Ī±-Fe_2O_3). Small polaron formation is evidenced by a sub-100ā€‰fs splitting of the Fe 3p core orbitals in the Fe M_(2,3) edge. The small polaron formation kinetics reproduces the triple-exponential relaxation frequently attributed to trap states. However, the measured spectral signature resembles only the spectral predictions of a small polaron and not the pre-edge features expected for mid-gap trap states. The small polaron formation probability, hopping radius and lifetime varies with excitation wavelength, decreasing with increasing energy in the t_(2g) conduction band. The excitation-wavelength-dependent localization of carriers by small polaron formation is potentially a limiting factor in haematiteā€™s photoconversion efficiency

    Excitation-wavelength-dependent small polaron trapping of photoexcited carriers in Ī±-Fe_2O_3

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    Small polaron formation is known to limit ground-state mobilities in metal oxide photocatalysts. However, the role of small polaron formation in the photoexcited state and how this affects the photoconversion efficiency has yet to be determined. Here, transient femtosecond extreme-ultraviolet measurements suggest that small polaron localization is responsible for the ultrafast trapping of photoexcited carriers in haematite (Ī±-Fe_2O_3). Small polaron formation is evidenced by a sub-100ā€‰fs splitting of the Fe 3p core orbitals in the Fe M_(2,3) edge. The small polaron formation kinetics reproduces the triple-exponential relaxation frequently attributed to trap states. However, the measured spectral signature resembles only the spectral predictions of a small polaron and not the pre-edge features expected for mid-gap trap states. The small polaron formation probability, hopping radius and lifetime varies with excitation wavelength, decreasing with increasing energy in the t_(2g) conduction band. The excitation-wavelength-dependent localization of carriers by small polaron formation is potentially a limiting factor in haematiteā€™s photoconversion efficiency

    Solution processed low power organic field-effect transistor bio-chemical sensor of high transconductance efficiency

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    Developing organic field-effect transistor (OFET) biosensors for customizable detection of biomarkers for many diseases would provide a low-cost and convenient tool for both biological studies and clinical diagnosis. In this work, design principles of the OFET transducer for biosensors were derived to relate the signal-to-noise ratio (SNR) to the device-performance parameters. Steep subthreshold swing (SS), proper threshold voltage (Vth), good-enough bias-stress stability, and mechanical durability are shown to be the key prerequisites for realizing OFET bio-sensors of high transconductance efficiency (gm/ID) for largeĀ SNR. Combining a low trap-density channel and a high-k/low-kĀ gate dielectric layer, low-temperature (<100ā€‰Ā°C) solution-processed flexible OFETs can meet the performance requirements to maximize theĀ gm/ID. An extended gate-structure OFET biosensor was further implemented for label-free detection of miR-21, achieving a detection limit below 10ā€‰pM with high selectivity at a low operation voltage (<1ā€‰V)

    Fixed-Time Synchronization for Different Dimensional Complex Network Systems with Unknown Parameters via Adaptive Control

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    This article is related to the issue of fixed-time synchronization of different dimensional complex network systems with unknown parameters. Two suitable adaptive controllers and dynamic parameter estimations are proposed such that the complex network driving and response systems can be synchronized in the settling time. Based on fixed-time control theory and Lyapunov functional method, novel sufficient conditions are provided to guarantee the synchronization within the fixed times, and the settling times are explicitly evaluated, which are independent of the initial synchronization errors. Finally, a numerical example is given to illustrate the effectiveness of the proposed control algorithms

    Fe<sub>3</sub>O<sub>4</sub>ā€“Graphite Composites as a Microwave Absorber with Bimodal Microwave Absorption

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    Microwave absorption in the low-frequency region is a major challenge in the development of carbon-based absorbers. Fe3O4ā€“graphite composites with both low-frequency region and high-frequency region absorption were prepared through a facile solvothermal method. The electromagnetic properties and impedance matching characteristics of the samples were regulated by changing the dosage of graphite. Interestingly, an excellent bimodal microwave absorption (MA) performance was obtained when the molar ratio of iron and graphite was 3:10 (Fe3O4ā€“2PG). With the optimal matching thickness of 4 mm, the Fe3O4ā€“2PG sample shows good performances with respect to the effective absorption bandwidth of 3.3 GHz; the minimum reflection loss (RLmin) in C-band (4ā€“8 GHz) is āˆ’40.6 dB, and its RLmin in Ku-band (12ā€“18 GHz) is āˆ’29.82 dB. The good bimodal MA performance of Fe3O4ā€“2PG could be attributed to the synergistic effects and interfacial polarization between Fe3O4 nanoparticles and graphite. Furthermore, Fe3O4ā€“2PG and Fe3O4ā€“1PG have electromagnetic absorption peaks in both the C-band and Ku-band, which broaden the absorption band of electromagnetic waves, which is beneficial to solve the problem of 5 G electromagnetic radiation. Therefore, the research results have special significance for the radiation interference of 5 G technology and the shielding absorption of C-band radar waves
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