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Search for two-neutrino double-beta decay of^(136)Xe to the 0^(+)_(1)excited state of 136Ba with the complete EXO-200 dataset

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Chinese Physics C 2023年第10期47卷 1-9页

作者： S.Al Kharusi G.Anton I.Badhrees P.S.Barbeau D.Beck V.Belov T.Bhatta m.breidenbach T.Brunner G.F.Cao W.R.Cen C.Chambers B.Cleveland m.Coon A.Craycraft T.Daniels L.Darroch S.J.Daugherty J.Davis S.Delaquis A.Der mesrobian-Kabakian R.DeVoe J.Dilling A.Dolgolenko m.J.Dolinski J.Echevers W.Fairbank Jr. D.Fairbank J.Farine S.Feyzbakhsh P.Fierlinger Y.S.Fu D.Fudenberg P.Gautam R.Gornea G.Gratta C.Hall E.V.Hansen J.Hoessl P.Hufschmidt m.Hughes A.Iverson A.Jamil C.Jessiman m.J.Jewell A.Johnson A.Karelin L.J.Kaufman T.Koffas R.Krücken A.Kuchenkov K.S.Kumar Y.Lan A.Larson B.G.Lenardo D.S.Leonard G.S.Li S.Li Z.Li C.Licciardi Y.H.Lin R.macLellan T.mcElroy T.michel B.mong D.C.moore K.murray O.Njoya O.Nusair A.Odian I.Ostrovskiy A.Perna A.Piepke A.Pocar F.Retière A.L.Robinson P.C.Rowson J.Runge S.Schmidt D.Sinclair K.Skarpaas A.K.Soma V.Stekhanov m.Tarka S.Thibado J.Todd T.Tolba T.I.Totev R.Tsang B.Veenstra V.Veeraraghavan P.Vogel J.-L.Vuilleumier m.Wagenpfeil J.Watkins m.Weber L.J.Wen U.Wichoski G.Wrede S.X.Wu Q.Xia D.R.Yahne L.Yang Y.-R.Yen O.Ya.Zeldovich T.Ziegler 无 Physics Department McGill UniversityMontrealQuebec H3A 2T8Canada Erlangen Centre for Astroparticle Physics(ECAP) Friedrich-Alexander-University Erlangen-NürnbergErlangen 91058Germany Physics Department Carleton UniversityOttawaOntario K1S 5B6Canada Department of Physics Duke Universityand Triangle Universities Nuclear Laboratory(TUNL)DurhamNorth Carolina 27708USA Physics Department University of IllinoisUrbana-ChampaignIllinois 61801USA Institute for Theoretical and Experimental Physics named by A.I.Alikhanov of National Research Centre“Kurchatov Institute” Moscow 117218Russia Department of Physics University of South DakotaVermillionSouth Dakota 57069USA SLAC National Accelerator Laboratory Menlo ParkCalifornia 94025USA TRIUmF VancouverBritish Columbia V6T 2A3Canada Institute of High Energy Physics Beijing 100049China Department of Physics Laurentian UniversitySudburyOntario P3E 2C6Canada Physics Department Colorado State UniversityFort CollinsColorado 80523USA Department of Physics and Physical Oceanography University of North Carolina at WilmingtonWilmingtonNC 28403USA Physics Department and CEEm Indiana UniversityBloomingtonIndiana 47405USA Physics Department Stanford UniversityStanfordCalifornia 94305USA Department of Physics Drexel UniversityPhiladelphiaPennsylvania 19104USA Amherst Center for Fundamental Interactions and Physics Department University of MassachusettsAmherstMA 01003USA Technische Universität münchen Physikdepartment and Excellence Cluster UniverseGarching 80805Germany Physics Department University of MarylandCollege ParkMaryland 20742USA Department of Physics and Astronomy University of AlabamaTuscaloosaAlabama 35487USA Wright Laboratory Department of PhysicsYale UniversityNew HavenConnecticut 06511USA IBS Center for Underground Physics Daejeon 34126Korea Department of Physics and Astronomy Stony Brook UniversitySUNYStony BrookNew York 11794USA Kellogg Lab CaltechPasadenaCalifornia 91125USA LHEP Albert Einstein CenterUniversi

A new search for two-neutrino double-beta(2νββ)decay of^(136)Xe to the 0+1 excited state of 136Ba is performed with the full EXO-200 dataset.A deep learning-based convolutional neural network is used to discriminate signal from background *** detection efficiency is increased relative to previous searches by EXO-200 by more than a factor of *** the addition of the Phase II dataset taken with an upgraded detector,the median 90%confidence level half-life sensitivity of 2νββdecay to the 0+1 state of 136Ba is 2.9×10^(24)yr using a total^(136)Xe exposure of 234.1 kg *** statistically significant evidence for 2νββdecay to the 0^(+)_(1)state is observed,leading to a lower limit of T2ν1/2(0^(+)→0^(+)_(1))>1.4×10^(24)yr at 90%confidence level,improved by 70%relative to the current world's best constraint.

关键词： EXO-200 experiment neutrinoless double beta decay excited state

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A century of National Forest Inventory in Norway–informing past,present,and future decisions

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Forest Ecosystems 2020年第4期7卷 602-620页

作者： Johannes breidenbach Aksel Granhus Gro Hylen Rune Eriksen Rasmus Astrup National Forest Inventory Norwegian Institute of Bioeconomy ResearchÅsNorway

Past:In the early twentieth century,forestry was one of the most important sectors in Norway and an agitateddiscussion about the perceived decline of forest resources due to over-exploitation was *** base thediscussion on facts,the young state of Norway established Landsskogtakseringen–the world’s first National ForestInventory(NFI).Field work started in 1919 and was carried out by *** were recorded on 10m wide stripswith 1–5 km *** quality and land cover categories were recorded along each *** for the firstcounty were published in 1920,and by 1930 most forests below the coniferous tree line were *** 2ndto 5th inventories followed in the years 1937–*** of 1954,temporary sample plot clusters on a 3 km×3 kmgrid were used as sampling ***:The current NFI grid was implemented in the 6th NFI from 1986 to 1993,when permanent plots ona 3 km×3 km grid were established below the coniferous tree *** of the 7th inventory in 1994,the NFIis continuous,and 1/5 of the plots are measured *** trees with a diameter≥5 cm are recorded oncircular,250 m2 *** NFI grid was expanded in 2005 to cover alpine regions with 3 km×9 km and 9km×9 km *** 2012,the NFI grid within forest reserves was doubled along the cardinal *** temporary plots are used periodically to facilitate county-level *** of today,more than 120variables are recorded in the NFI including bilberry cover,drainage status,deadwood,and forest *** are monitored and trees outside forests are ***:Considerable research efforts towards the integration of remote sensing technologies enable thepublication of the Norwegian Forest Resource map since 2015,which is also used for small area estimation atthe municipality *** the analysis side,capacity and software for long term growth and yield prognosisare being ***,we foresee the inclusion of further variables for monitoring ec

关键词： Forest forest annually

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Comparison of estimators of variance for forest inventories with systematic sampling-results from artificial populations

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Forest Ecosystems 2020年第2期7卷 215-233页

作者： Steen magnussen Ronald EmcRoberts Johannes breidenbach Thomas Nord-Larsen Göran Ståhl Lutz Fehrmann Sebastian Schnell 506 West Burnside Road VictoriaBC V8Z 1M5Canada Raspberry Ridge Analytics 15111 Elmcrest Avenue NorthHugoMN 55038USA Norwegian Institute of Bioeconomy Research Høgskolevegen 81431ÅsNorway Department of Geosciences and Natural Resource management University of CopenhagenRolighedsvej 23DK-1958 Frederiksberg CDenmark Department of Forest Resource management Swedish University of Agricultural SciencesUmeåSweden Forest Inventory and Remote Sensing Faculty of Forest SciencesUniversity of GöttingenBüsgenweg 5D37077GöttingenGermany Alfred-möller-Straße 1 Haus 41-4216225 EberswaldeGermany.

Background:Large area forest inventories often use regular grids(with a single random start)of sample locations to ensure a uniform sampling intensity across the space of the surveyed populations.A design-unbiased estimator of variance does not exist for this ***,a quasi-default estimator applicable to simple random sampling(SRS)is used,even if it carries with it the likely risk of overestimating the variance by a practically important *** better exploit the precision of systematic sampling we assess the performance of five estimators of variance,including the quasi *** this study,simulated systematic sampling was applied to artificial populations with contrasting covariance structures and with or without linear *** compared the results obtained with the SRS,matern’s,successive difference replication,Ripley’s,and D’Orazio’s variance ***:The variances obtained with the four alternatives to the SRS estimator of variance were strongly correlated,and in all study settings consistently closer to the target design variance than the estimator for *** latter always produced the greatest *** populations with a near zero spatial autocorrelation,all estimators,performed equally,and delivered estimates close to the actual design ***:Without a linear trend,the SDR and DOR estimators were best with variance estimates more narrowly distributed around the benchmark;yet in terms of the least average absolute deviation,matern’s estimator held a narrow *** a strong or moderate linear trend,matern’s estimator is *** large populations,and a low sampling intensity,the performance of the investigated estimators becomes more similar.

关键词： Spatial autocorrelation Linear trend model based Design biased matern variance Successive difference replication variance Geary contiguity coefficient Random site effects

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Development of an active-site titrant for SARS-CoV-2 main protease as an indispensable tool for evaluating enzyme kinetics

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Acta Pharmaceutica Sinica B 2024年第5期14卷 2349-2357页

作者： Rabea Voget Julian breidenbach Tobias Claff Alexandra Hingst Katharina Sylvester Christian Steinebach Lan Phuong Vu Renato H.Weiße Ulrike Bartz Norbert Sträter Christa E.müller michael Gütschow Pharmaceutical Institute Pharmaceutical&Medicinal ChemistryUniversity of BonnBonn 53121Germany Institute of Bioanalytical Chemistry Center for Biotechnology and BiomedicineLeipzig UniversityLeipzig 04103Germany Department of Natural Sciences University of Applied Sciences Bonn-Rhein-SiegRheinbach 53359Germany

A titrant for the SARS-CoV-2 main protease(m^(pro))was developed that enables,for the first time,the exact determination of the concentration of the enzymatically active m^(pro) by active-site *** covalent binding mode of the tetrapeptidic titrant was elucidated by the determination of the crystal structure of the enzyme–titrant *** fluorogenic substrates of m^(pro),including a prototypical,internally quenched Dabcyl-EDANS peptide,were compared in terms of solubility under typical assay *** exploiting the new titrant,key kinetic parameters for the m^(pro)-catalyzed cleavage of these substrates were determined.

关键词： COVID-19 SARS-CoV-2 main protease Peptide nitriles Fluorogenic substrates Active-site titration X-ray crystallography Inner filter effect

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