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J. H. Kim

Bio: J. H. Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 73, co-authored 566 publications receiving 23052 citations. Previous affiliations of J. H. Kim include Seoul National University Hospital & Samsung Medical Center.


Papers
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Journal ArticleDOI
16 Oct 2017-Nature
TL;DR: The detection of X-ray emission at a location coincident with the kilonova transient provides the missing observational link between short γ-ray bursts and gravitational waves from neutron-star mergers, and gives independent confirmation of the collimated nature of the γ,ray-burst emission.
Abstract: Detection of X-ray emission at a location coincident with the kilonova transient of the gravitational-wave event GW170817 provides the missing observational link between short gamma-ray bursts and gravitational waves from neutron-star mergers. Merging neutron stars are potential sources of gravitational waves and have long been predicted to produce jets of material as part of a low-luminosity transient known as a 'kilonova'. There is growing evidence that neutron-star mergers also give rise to short, hard gamma-ray bursts. A group of papers in this issue report observations of a transient associated with the gravitational-wave event GW170817—a signature of two neutron stars merging and a gamma-ray flash—that was detected in August 2017. The observed gamma-ray, X-ray, optical and infrared radiation signatures support the predictions of an outflow of matter from double neutron-star mergers and present a clear origin for gamma-ray bursts. Previous predictions differ over whether the jet material would combine to form light or heavy elements. These papers now show that the early part of the outflow was associated with lighter elements whereas the later observations can be explained by heavier elements, the origins of which have been uncertain. However, one paper (by Stephen Smartt and colleagues) argues that only light elements are needed for the entire event. Additionally, Eleonora Troja and colleagues report X-ray observations and radio emissions that suggest that the 'kilonova' jet was observed off-axis, which could explain why gamma-ray-burst detections are seen as dim. A long-standing paradigm in astrophysics is that collisions—or mergers—of two neutron stars form highly relativistic and collimated outflows (jets) that power γ-ray bursts of short (less than two seconds) duration1,2,3. The observational support for this model, however, is only indirect4,5. A hitherto outstanding prediction is that gravitational-wave events from such mergers should be associated with γ-ray bursts, and that a majority of these bursts should be seen off-axis, that is, they should point away from Earth6,7. Here we report the discovery observations of the X-ray counterpart associated with the gravitational-wave event GW170817. Although the electromagnetic counterpart at optical and infrared frequencies is dominated by the radioactive glow (known as a ‘kilonova’) from freshly synthesized rapid neutron capture (r-process) material in the merger ejecta8,9,10, observations at X-ray and, later, radio frequencies are consistent with a short γ-ray burst viewed off-axis7,11. Our detection of X-ray emission at a location coincident with the kilonova transient provides the missing observational link between short γ-ray bursts and gravitational waves from neutron-star mergers, and gives independent confirmation of the collimated nature of the γ-ray-burst emission.

727 citations

Journal ArticleDOI
Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam1, Ece Aşılar1  +2212 moreInstitutions (157)
TL;DR: A fully-fledged particle-flow reconstruction algorithm tuned to the CMS detector was developed and has been consistently used in physics analyses for the first time at a hadron collider as mentioned in this paper.
Abstract: The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic τ decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8\TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions.

719 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2283 moreInstitutions (141)
TL;DR: Combined fits to CMS UE proton–proton data at 7TeV and to UEProton–antiproton data from the CDF experiment at lower s, are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton-proton collisions at 13.
Abstract: New sets of parameters ("tunes") for the underlying-event (UE) modeling of the PYTHIA8, PYTHIA6 and HERWIG++ Monte Carlo event generators are constructed using different parton distribution functions. Combined fits to CMS UE data at sqrt(s) = 7 TeV and to UE data from the CDF experiment at lower sqrt(s), are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton-proton collisions at 13 TeV. In addition, it is investigated whether the values of the parameters obtained from fits to UE observables are consistent with the values determined from fitting observables sensitive to double-parton scattering processes. Finally, comparisons of the UE tunes to "minimum bias" (MB) events, multijet, and Drell-Yan (q q-bar to Z / gamma* to lepton-antilepton + jets) observables at 7 and 8 TeV are presented, as well as predictions of MB and UE observables at 13 TeV.

686 citations

Journal ArticleDOI
Arang Rhie1, Shane A. McCarthy2, Shane A. McCarthy3, Olivier Fedrigo4, Joana Damas5, Giulio Formenti4, Sergey Koren1, Marcela Uliano-Silva6, William Chow2, Arkarachai Fungtammasan, J. H. Kim7, Chul Hee Lee7, Byung June Ko7, Mark Chaisson8, Gregory Gedman4, Lindsey J. Cantin4, Françoise Thibaud-Nissen1, Leanne Haggerty9, Iliana Bista3, Iliana Bista2, Michelle Smith2, Bettina Haase4, Jacquelyn Mountcastle4, Sylke Winkler10, Sylke Winkler11, Sadye Paez4, Jason T. Howard, Sonja C. Vernes11, Sonja C. Vernes12, Sonja C. Vernes13, Tanya M. Lama14, Frank Grützner15, Wesley C. Warren16, Christopher N. Balakrishnan17, Dave W Burt18, Jimin George19, Matthew T. Biegler4, David Iorns, Andrew Digby, Daryl Eason, Bruce C. Robertson20, Taylor Edwards21, Mark Wilkinson22, George F. Turner23, Axel Meyer24, Andreas F. Kautt24, Andreas F. Kautt25, Paolo Franchini24, H. William Detrich26, Hannes Svardal27, Hannes Svardal28, Maximilian Wagner29, Gavin J. P. Naylor30, Martin Pippel11, Milan Malinsky31, Milan Malinsky2, Mark Mooney, Maria Simbirsky, Brett T. Hannigan, Trevor Pesout32, Marlys L. Houck33, Ann C Misuraca33, Sarah B. Kingan34, Richard Hall34, Zev N. Kronenberg34, Ivan Sović34, Christopher Dunn34, Zemin Ning2, Alex Hastie, Joyce V. Lee, Siddarth Selvaraj, Richard E. Green32, Nicholas H. Putnam, Ivo Gut35, Jay Ghurye36, Erik Garrison32, Ying Sims2, Joanna Collins2, Sarah Pelan2, James Torrance2, Alan Tracey2, Jonathan Wood2, Robel E. Dagnew8, Dengfeng Guan3, Dengfeng Guan37, Sarah E. London38, David F. Clayton19, Claudio V. Mello39, Samantha R. Friedrich39, Peter V. Lovell39, Ekaterina Osipova11, Farooq O. Al-Ajli40, Farooq O. Al-Ajli41, Simona Secomandi42, Heebal Kim7, Constantina Theofanopoulou4, Michael Hiller43, Yang Zhou, Robert S. Harris44, Kateryna D. Makova44, Paul Medvedev44, Jinna Hoffman1, Patrick Masterson1, Karen Clark1, Fergal J. Martin9, Kevin L. Howe9, Paul Flicek9, Brian P. Walenz1, Woori Kwak, Hiram Clawson32, Mark Diekhans32, Luis R Nassar32, Benedict Paten32, Robert H. S. Kraus11, Robert H. S. Kraus24, Andrew J. Crawford45, M. Thomas P. Gilbert46, M. Thomas P. Gilbert47, Guojie Zhang, Byrappa Venkatesh48, Robert W. Murphy49, Klaus-Peter Koepfli50, Beth Shapiro51, Beth Shapiro32, Warren E. Johnson50, Warren E. Johnson52, Federica Di Palma53, Tomas Marques-Bonet, Emma C. Teeling54, Tandy Warnow55, Jennifer A. Marshall Graves56, Oliver A. Ryder33, Oliver A. Ryder57, David Haussler32, Stephen J. O'Brien58, Jonas Korlach34, Harris A. Lewin5, Kerstin Howe2, Eugene W. Myers11, Eugene W. Myers10, Richard Durbin3, Richard Durbin2, Adam M. Phillippy1, Erich D. Jarvis4, Erich D. Jarvis51 
National Institutes of Health1, Wellcome Trust Sanger Institute2, University of Cambridge3, Rockefeller University4, University of California, Davis5, Leibniz Association6, Seoul National University7, University of Southern California8, European Bioinformatics Institute9, Dresden University of Technology10, Max Planck Society11, University of St Andrews12, Radboud University Nijmegen13, University of Massachusetts Amherst14, University of Adelaide15, University of Missouri16, East Carolina University17, University of Queensland18, Clemson University19, University of Otago20, University of Arizona21, Natural History Museum22, Bangor University23, University of Konstanz24, Harvard University25, Northeastern University26, National Museum of Natural History27, University of Antwerp28, University of Graz29, University of Florida30, University of Basel31, University of California, Santa Cruz32, Zoological Society of San Diego33, Pacific Biosciences34, Pompeu Fabra University35, University of Maryland, College Park36, Harbin Institute of Technology37, University of Chicago38, Oregon Health & Science University39, Monash University Malaysia Campus40, Qatar Airways41, University of Milan42, Goethe University Frankfurt43, Pennsylvania State University44, University of Los Andes45, Norwegian University of Science and Technology46, University of Copenhagen47, Agency for Science, Technology and Research48, Royal Ontario Museum49, Smithsonian Institution50, Howard Hughes Medical Institute51, Walter Reed Army Institute of Research52, University of East Anglia53, University College Dublin54, University of Illinois at Urbana–Champaign55, La Trobe University56, University of California, San Diego57, Nova Southeastern University58
28 Apr 2021-Nature
TL;DR: The Vertebrate Genomes Project (VGP) as mentioned in this paper is an international effort to generate high quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.
Abstract: High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species1-4. To address this issue, the international Genome 10K (G10K) consortium5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.

647 citations

Journal ArticleDOI
Khachatryan, Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam  +2118 moreInstitutions (3)
TL;DR: In this article, the performance and strategies used in electron reconstruction and selection at CERN LHC are presented based on data corresponding to an integrated luminosity of 19.7 inverse femtobarns, collected in proton-proton collisions at sqrt(s) = 8 TeV.
Abstract: The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 inverse femtobarns, collected in proton-proton collisions at sqrt(s) = 8 TeV at the CERN LHC. The paper focuses on prompt isolated electrons with transverse momenta ranging from about 5 to a few 100 GeV. A detailed description is given of the algorithms used to cluster energy in the electromagnetic calorimeter and to reconstruct electron trajectories in the tracker. The electron momentum is estimated by combining the energy measurement in the calorimeter with the momentum measurement in the tracker. Benchmark selection criteria are presented, and their performances assessed using Z, Upsilon, and J/psi decays into electron-positron pairs. The spectra of the observables relevant to electron reconstruction and selection as well as their global efficiencies are well reproduced by Monte Carlo simulations. The momentum scale is calibrated with an uncertainty smaller than 0.3%. The momentum resolution for electrons produced in Z boson decays ranges from 1.7 to 4.5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material.

633 citations


Cited by
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Journal Article
TL;DR: In this paper, the ATLAS experiment is described as installed in i ts experimental cavern at point 1 at CERN and a brief overview of the expec ted performance of the detector is given.
Abstract: This paper describes the ATLAS experiment as installed in i ts experimental cavern at point 1 at CERN. It also presents a brief overview of the expec ted performance of the detector.

2,798 citations

01 Jan 2011
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

2,187 citations

Journal ArticleDOI
TL;DR: In this article, the first set of parton distribution functions (PDFs) determined with a methodology validated by a closure test is presented, which is based on LO, NLO and NNLO QCD theory and also includes electroweak corrections.
Abstract: We present NNPDF3.0, the first set of parton distribution functions (PDFs) determined with a methodology validated by a closure test. NNPDF3.0 uses a global dataset including HERA-II deep-inelastic inclusive cross-sections, the combined HERA charm data, jet production from ATLAS and CMS, vector boson rapidity and transverse momentum distributions from ATLAS, CMS and LHCb, W+c data from CMS and top quark pair production total cross sections from ATLAS and CMS. Results are based on LO, NLO and NNLO QCD theory and also include electroweak corrections. To validate our methodology, we show that PDFs determined from pseudo-data generated from a known underlying law correctly reproduce the statistical distributions expected on the basis of the assumed experimental uncertainties. This closure test ensures that our methodological uncertainties are negligible in comparison to the generic theoretical and experimental uncertainties of PDF determination. This enables us to determine with confidence PDFs at different perturbative orders and using a variety of experimental datasets ranging from HERA-only up to a global set including the latest LHC results, all using precisely the same validated methodology. We explore some of the phenomenological implications of our results for the upcoming 13 TeV Run of the LHC, in particular for Higgs production cross-sections.

2,028 citations