93 research outputs found

    WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

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    In this paper, we introduce a new NLP task -- generating short factual articles with references for queries by mining supporting evidence from the Web. In this task, called WebBrain, the ultimate goal is to generate a fluent, informative, and factually-correct short article (e.g., a Wikipedia article) for a factual query unseen in Wikipedia. To enable experiments on WebBrain, we construct a large-scale dataset WebBrain-Raw by extracting English Wikipedia articles and their crawlable Wikipedia references. WebBrain-Raw is ten times larger than the previous biggest peer dataset, which can greatly benefit the research community. From WebBrain-Raw, we construct two task-specific datasets: WebBrain-R and WebBrain-G, which are used to train in-domain retriever and generator, respectively. Besides, we empirically analyze the performances of the current state-of-the-art NLP techniques on WebBrain and introduce a new framework ReGen, which enhances the generation factualness by improved evidence retrieval and task-specific pre-training for generation. Experiment results show that ReGen outperforms all baselines in both automatic and human evaluations.Comment: Codes in https://github.com/qhjqhj00/WebBrai

    KMT-2022-BLG-2397: Brown Dwarf at the Upper Shore of the Einstein Desert

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    We measure the Einstein radius of the single-lens microlensing event KMT-2022-BLG-2397 to be theta_E=24.8 +- 3.6 uas, placing it at the upper shore of the Einstein Desert, 9 < theta_E / uas < 25, between free-floating planets (FFPs) and bulge brown dwarfs (BDs). In contrast to the six BD (25 < theta_E < 50) events presented by Gould+22, which all had giant-star source stars, KMT-2022-BLG-2397 has a dwarf-star source, with angular radius theta_* ~ 0.9 uas. This prompts us to study the relative utility of dwarf and giant sources for characterizing FFPs and BDs from finite-source point-lens (FSPL) microlensing events. We find `dwarfs' (including main-sequence stars and subgiants) are likely to yield twice as many theta_E measurements for BDs and a comparable (but more difficult to quantify) improvement for FFPs. We show that neither current nor planned experiments will yield complete mass measurements of isolated bulge BDs, nor will any other planned experiment yield as many theta_E measurements for these objects as KMT. Thus, the currently anticipated 10-year KMT survey will remain the best way to study bulge BDs for several decades to come.Comment: 45 pages, 9 Figures, submitted to AAS Journal

    KMT-2021-BLG-1122L: The first microlensing triple stellar system

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    We systematically inspect the microlensing data acquired by the KMTNet survey during the previous seasons in order to find anomalous lensing events for which the anomalies in the lensing light curves cannot be explained by the usual binary-lens or binary-source interpretations. From the inspection, we find that interpreting the three lensing events OGLE-2018-BLG-0584, KMT-2018-BLG-2119, and KMT-2021-BLG-1122 requires four-body (lens+source) models, in which either both the lens and source are binaries (2L2S event) or the lens is a triple system (3L1S event). Following the analyses of the 2L2S events presented in \citet{Han2023}, here we present the 3L1S analysis of the KMT-2021-BLG-1122. It is found that the lens of the event KMT-2021-BLG-1122 is composed of three masses, in which the projected separations (normalized to the angular Einstein radius) and mass ratios between the lens companions and the primary are (s2,q2)(1.4,0.53)(s_2, q_2)\sim (1.4, 0.53) and (s3,q3)(1.6,0.24)(s_3, q_3) \sim (1.6, 0.24). By conducting a Bayesian analysis, we estimate that the masses of the individual lens components are (M1,M2,M3)(0.47M,0.24M,0.11M)(M_1, M_2, M_3)\sim (0.47\,M_\odot, 0.24\,M_\odot, 0.11\,M_\odot). The companions are separated in projection from the primary by (a,2,a,3)(3.5,4.0)(a_{\perp,2}, a_{\perp,3})\sim (3.5, 4.0)~AU. The lens of KMT-2018-BLG-2119 is the first triple stellar system detected via microlensing.Comment: 8 pages, 7 figures, 2 table

    Mass Production of 2021 KMTNet Microlensing Planets II

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    We continue our program of publishing all planets (and possible planets) found by eye in 2021 Korea Microlensing Telescope Network (KMTNet) online data. We present 4 planets, (KMT-2021-BLG-0712Lb, KMT-2021-BLG-0909Lb, KMT-2021-BLG-2478Lb, and KMT-2021-BLG-1105Lb), with planet-host mass ratios in the range -3.3 < log q < -2.2. This brings the total of secure, by-eye, 2021 KMTNet planets to 16, including 8 in this series. The by-eye sample is an important check of the completeness of semi-automated detections, which are the basis for statistical analyses. One of the planets, KMT-2021-BLG-1105Lb, is blended with a relatively bright (I,V)(18.9,21.6)(I,V)\sim (18.9,21.6) star that may be the host. This could be verified immediately by high-resolution imaging. If so, the host is an early G dwarf, and the planet could be characterized by radial-velocity observations on 30m class telescopes

    KMT-2021-BLG-2010Lb, KMT-2022-BLG-0371Lb, and KMT-2022-BLG-1013Lb: Three microlensing planets detected via partially covered signals

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    We inspect 4 microlensing events KMT-2021-BLG-1968, KMT-2021-BLG-2010, KMT-2022-BLG-0371, and KMT-2022-BLG-1013, for which the light curves exhibit partially covered short-term central anomalies. We conduct detailed analyses of the events with the aim of revealing the nature of the anomalies. We test various models that can give rise to the anomalies of the individual events including the binary-lens (2L1S) and binary-source (1L2S) interpretations. Under the 2L1S interpretation, we thoroughly inspect the parameter space to check the existence of degenerate solutions, and if they exist, we test the feasibility of resolving the degeneracy. We find that the anomalies in KMT-2021-BLG-2010 and KMT-2022-BLG-1013 are uniquely defined by planetary-lens interpretations with the planet-to-host mass ratios of q2.8×103q\sim 2.8\times 10^{-3} and 1.6×103\sim 1.6\times 10^{-3}, respectively. For KMT-2022-BLG-0371, a planetary solution with a mass ratio q4×104q\sim 4\times 10^{-4} is strongly favored over the other three degenerate 2L1S solutions with different mass ratios based on the χ2\chi^2 and relative proper motion arguments, and a 1L2S solution is clearly ruled out. For KMT-2021-BLG-1968, on the other hand, we find that the anomaly can be explained either by a planetary or a binary-source interpretation, making it difficult to firmly identify the nature of the anomaly. From the Bayesian analyses of the identified planetary events, we estimate that the masses of the planet and host are (Mp/MJ,Mh/M)=(1.070.68+1.15,0.370.23+0.40)(M_{\rm p}/M_{\rm J}, M_{\rm h}/M_\odot) = (1.07^{+1.15}_{-0.68}, 0.37^{+0.40}_{-0.23}), (0.260.11+0.13,0.630.28+0.32)(0.26^{+0.13}_{-0.11}, 0.63^{+0.32}_{-0.28}), and (0.310.16+0.46,0.180.10+0.28)(0.31^{+0.46}_{-0.16}, 0.18^{+0.28}_{-0.10}) for KMT-2021-BLG-2010L, KMT-2022-BLG-0371L, and KMT-2022-BLG-1013L, respectively.Comment: 12 pages, 17 figure

    Systematic KMTNet Planetary Anomaly Search. IV. Complete Statistical Sample of 2019 Prime-Field Microlensing Planets

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    We report the complete statistical planetary sample from the prime fields (Γ2 hr1\Gamma \geq 2~{\rm hr}^{-1}) of the 2019 Korea Microlensing Telescope Network (KMTNet) microlensing survey. We develop the optimized KMTNet AnomalyFinder algorithm and apply it to the 2019 KMTNet prime fields. We find a total of 14 homogeneously selected planets and report the analysis of three planetary events, KMT-2019-BLG-(1042,1552,2974). The planet-host mass ratios, qq, for the three planetary events are 6.34×104,4.89×1036.34 \times 10^{-4}, 4.89 \times 10^{-3} and 6.18×1046.18 \times 10^{-4}, respectively. A Bayesian analysis indicates the three planets are all cold giant planets beyond the snow line of their host stars. The 14 planets are basically uniform in logq\log q over the range 5.0<logq<1.5-5.0 < \log q < -1.5. This result suggests that the planets below qbreak=1.7×104q_{\rm break} = 1.7 \times 10^{-4} proposed by the MOA-II survey may be more common than previously believed. This work is an early component of a large project to determine the KMTNet mass-ratio function, and the whole sample of 2016--2019 KMTNet events should contain about 120 planets.Comment: 7 figures and 7 tables; submitte

    Multiple-Clade H5N1 Influenza Split Vaccine Elicits Broad Cross Protection against Lethal Influenza Virus Challenge in Mice by Intranasal Vaccination

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    Background: The increase in recent outbreaks and unpredictable changes of highly pathogenic avian influenza (HPAI) H5N1 in birds and humans highlights the urgent need to develop a cross-protective H5N1 vaccine. We here report our development of a multiple-clade H5N1 influenza vaccine tested for immunogenicity and efficacy to confer cross-protection in an animal model. Methodology/Principal Findings: Mice received two doses of influenza split vaccine with oil-in-water emulsion adjuvant SP01 by intranasal administration separated by two weeks. Single vaccines (3 mg HA per dose) included rg-A/Vietnam/1203/ 2004(Clade 1), rg-A/Indonesia/05/2005(Clade 2.1), and rg-A/Anhui/1/2005(Clade 2.3.4). The trivalent vaccine contained 1 mg HA per dose of each single vaccine. Importantly, complete cross-protection was observed in mice immunized using trivalent vaccine with oil-in-water emulsion adjuvant SP01 that was subsequently challenged with the lethal A/OT/SZ/097/03 influenza strain (Clade 0), whereas only the survival rate was up to 60 % in single A/Anhui/1/2005 vaccine group. Conclusion/Significance: Our findings demonstrated that the multiple-clade H5N1 influenza vaccine was able to elicit a cross-protective immune response to heterologous HPAI H5N1 virus, thus giving rise to a broadly cross-reactive vaccine to potential prevention use ahead of the strain-specific pandemic influenza vaccine in the event of an HPAI H5N1 influenza outbreak. Also, the multiple-clade adjuvanted vaccine could be useful in allowing timely initiation of vaccination agains

    Systematic KMTNet Planetary Anomaly Search. X. Complete Sample of 2017 Prime-Field Planets

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    We complete the analysis of planetary candidates found by the KMT AnomalyFinder for the 2017 prime fields that cover 13deg2\sim 13\,{\rm deg}^2. We report 3 unambiguous planets: OGLE-2017-BLG-0640, OGLE-2017-BLG-1275, and OGLE-2017-BLG-1237. The first two of these were not previously identified, while the last was not previously published due to technical complications induced by a nearby variable. We further report that a fourth anomalous event, the previously recognized OGLE-2017-BLG-1777, is very likely to be planetary, although its light curve requires unusually complex modeling because the lens and source both have orbiting companions. One of the 3 unambiguous planets, OGLE-2017-BLG-1275 is the first AnomalyFinder discovery that has a {\it Spitzer} microlens parallax measurement, πE0.045±0.015\pi_E \sim 0.045\pm0.015, implying that this planetary system almost certainly lies in the Galactic bulge. In the order listed, the four planetary events have planet-host mass ratios qq, and normalized projected separations ss, of (logq,s)(\log q,s) = (2.31,0.61)(-2.31,0.61), (2.06,0.63/1.09)(-2.06,0.63/1.09), (2.10,1.04)(-2.10,1.04), and (2.86,0.72)(-2.86,0.72). Combined with previously published events, the 2017 AnomalyFinder prime fields contain 11 unambiguous planets with well-measured qq and one very likely candidate, of which 3 are AnomalyFinder discoveries. In addition to these 12, there are three other unambiguous planets with large uncertainties in qq.Comment: 67 pages, 13 figures, 16 table
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