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Institution

Taras Shevchenko National University of Kyiv

EducationKyiv, Ukraine
About: Taras Shevchenko National University of Kyiv is a education organization based out in Kyiv, Ukraine. It is known for research contribution in the topics: Crystal structure & Magnetic field. The organization has 10137 authors who have published 13444 publications receiving 104691 citations. The organization is also known as: National University of Kyiv & Taras Shevchenko University.


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Journal ArticleDOI
TL;DR: In this article, the authors presented an all-sky catalog of 451 nearby galaxies, each having an individual distance estimate D 10 Mpc or a radial velocity VLG -17.0, which contribute about 4% to the local luminosity density, and roughly 10% to 15% to local H I mass density.
Abstract: We present an all-sky catalog of 451 nearby galaxies, each having an individual distance estimate D 10 Mpc or a radial velocity VLG -17.0, which contribute about 4% to the local luminosity density, and roughly 10%–15% to the local H I mass density. The H I mass-to-luminosity and the H I mass-to-total (indicative) mass ratios increase systematically from giant galaxies toward dwarfs, reaching maximum values about 5 in solar units for the most tiny objects. For the Local Volume disklike galaxies, their H I masses and angular momentum follow Zasov's linear relation, expected for rotating gaseous disks being near the threshold of gravitational instability, favorable for active star formation. We found that the mean local luminosity density exceeds 1.7–2.0 times the global density, in spite of the presence of the Tully void and the absence of rich clusters in the Local Volume. The mean local H I density is 1.4 times its "global" value derived from the H I Parkes Sky Survey. However, the mean local baryon density Ωb(< 8 Mpc) = 2.3% consists of only a half of the global baryon density, Ωb = (4.7 ± 0.6)% (Spergel et al., published in 2003). The mean-square pairwise difference of radial velocities is about 100 km s-1 for spatial separations within 1 Mpc, increasing to ~300 km s-1 on a scale of ~3 Mpc. also We calculated the integral area of the sky occupied by the neighboring galaxies. Assuming the H I size of spiral and irregular galaxies to be 2.5 times their standard optical diameter and ignoring any evolution effect, we obtain the expected number of the line-of-sight intersections with the H I galaxy images to be dn/dz ~ 0.4, which does not contradict the observed number of absorptions in QSO spectra.

853 citations

Journal ArticleDOI
Sergey Alekhin, Wolfgang Altmannshofer1, Takehiko Asaka2, Brian Batell3, Fedor Bezrukov4, Kyrylo Bondarenko5, Alexey Boyarsky5, Ki-Young Choi6, Cristóbal Corral7, Nathaniel Craig8, David Curtin9, Sacha Davidson10, Sacha Davidson11, André de Gouvêa12, Stefano Dell'Oro, Patrick deNiverville13, P. S. Bhupal Dev14, Herbi K. Dreiner15, Marco Drewes16, Shintaro Eijima17, Rouven Essig18, Anthony Fradette13, Björn Garbrecht16, Belen Gavela19, Gian F. Giudice3, Mark D. Goodsell20, Mark D. Goodsell21, Dmitry Gorbunov22, Stefania Gori1, Christophe Grojean23, Alberto Guffanti24, Thomas Hambye25, Steen Honoré Hansen24, Juan Carlos Helo26, Juan Carlos Helo7, Pilar Hernández27, Alejandro Ibarra16, Artem Ivashko5, Artem Ivashko28, Eder Izaguirre1, Joerg Jaeckel29, Yu Seon Jeong30, Felix Kahlhoefer, Yonatan Kahn31, Andrey Katz3, Andrey Katz32, Andrey Katz33, Choong Sun Kim30, Sergey Kovalenko7, Gordan Krnjaic1, Valery E. Lyubovitskij34, Valery E. Lyubovitskij35, Valery E. Lyubovitskij36, Simone Marcocci, Matthew McCullough3, David McKeen37, Guenakh Mitselmakher38, Sven Moch39, Rabindra N. Mohapatra9, David E. Morrissey40, Maksym Ovchynnikov28, Emmanuel A. Paschos, Apostolos Pilaftsis14, Maxim Pospelov1, Maxim Pospelov13, Mary Hall Reno41, Andreas Ringwald, Adam Ritz13, Leszek Roszkowski, Valery Rubakov, Oleg Ruchayskiy24, Oleg Ruchayskiy17, Ingo Schienbein42, Daniel Schmeier15, Kai Schmidt-Hoberg, Pedro Schwaller3, Goran Senjanovic43, Osamu Seto44, Mikhail Shaposhnikov17, Lesya Shchutska38, J. Shelton45, Robert Shrock18, Brian Shuve1, Michael Spannowsky46, Andrew Spray47, Florian Staub3, Daniel Stolarski3, Matt Strassler33, Vladimir Tello, Francesco Tramontano48, Anurag Tripathi, Sean Tulin49, Francesco Vissani, Martin Wolfgang Winkler15, Kathryn M. Zurek50, Kathryn M. Zurek51 
Perimeter Institute for Theoretical Physics1, Niigata University2, CERN3, University of Connecticut4, Leiden University5, Korea Astronomy and Space Science Institute6, Federico Santa María Technical University7, University of California, Santa Barbara8, University of Maryland, College Park9, Claude Bernard University Lyon 110, University of Lyon11, Northwestern University12, University of Victoria13, University of Manchester14, University of Bonn15, Technische Universität München16, École Polytechnique Fédérale de Lausanne17, Stony Brook University18, Autonomous University of Madrid19, Centre national de la recherche scientifique20, University of Paris21, Moscow Institute of Physics and Technology22, Autonomous University of Barcelona23, University of Copenhagen24, Université libre de Bruxelles25, University of La Serena26, University of Valencia27, Taras Shevchenko National University of Kyiv28, Heidelberg University29, Yonsei University30, Princeton University31, University of Geneva32, Harvard University33, University of Tübingen34, Tomsk Polytechnic University35, Tomsk State University36, University of Washington37, University of Florida38, University of Hamburg39, TRIUMF40, University of Iowa41, University of Grenoble42, International Centre for Theoretical Physics43, Hokkai Gakuen University44, University of Illinois at Urbana–Champaign45, Durham University46, University of Melbourne47, University of Naples Federico II48, York University49, Lawrence Berkeley National Laboratory50, University of California, Berkeley51
TL;DR: It is demonstrated that the SHiP experiment has a unique potential to discover new physics and can directly probe a number of solutions of beyond the standard model puzzles, such as neutrino masses, baryon asymmetry of the Universe, dark matter, and inflation.
Abstract: This paper describes the physics case for a new fixed target facility at CERN SPS. The SHiP (search for hidden particles) experiment is intended to hunt for new physics in the largely unexplored domain of very weakly interacting particles with masses below the Fermi scale, inaccessible to the LHC experiments, and to study tau neutrino physics. The same proton beam setup can be used later to look for decays of tau-leptons with lepton flavour number non-conservation, $\tau \to 3\mu $ and to search for weakly-interacting sub-GeV dark matter candidates. We discuss the evidence for physics beyond the standard model and describe interactions between new particles and four different portals—scalars, vectors, fermions or axion-like particles. We discuss motivations for different models, manifesting themselves via these interactions, and how they can be probed with the SHiP experiment and present several case studies. The prospects to search for relatively light SUSY and composite particles at SHiP are also discussed. We demonstrate that the SHiP experiment has a unique potential to discover new physics and can directly probe a number of solutions of beyond the standard model puzzles, such as neutrino masses, baryon asymmetry of the Universe, dark matter, and inflation.

842 citations

Journal ArticleDOI
TL;DR: The ALFALFA project as discussed by the authors uses a two-pass, minimum intrusion, drift scan observing technique that samples the same region of sky at two separate epochs to aid in the discrimination of cosmic signals from noise and terrestrial interference.
Abstract: The recently initiated Arecibo Legacy Fast ALFA (ALFALFA) survey aims to map ~7000 deg2 of the high Galactic latitude sky visible from Arecibo, providing a H I line spectral database covering the redshift range between -1600 and 18,000 km (s-1) with ~5 km s(-1) resolution. Exploiting Arecibo's large collecting area and small beam size, ALFALFA is specifically designed to probe the faint end of the H I mass function in the local universe and will provide a census of H I in the surveyed sky area to faint flux limits, making it especially useful in synergy with wide-area surveys conducted at other wavelengths. ALFALFA will also provide the basis for studies of the dynamics of galaxies within the Local Supercluster and nearby superclusters, allow measurement of the H I diameter function, and enable a first wide-area blind search for local H I tidal features, H I absorbers at z < 0.06, and OH megamasers in the redshift range 0.16 < z < 0.25. Although completion of the survey will require some 5 years, public access to the ALFALFA data and data products will be provided in a timely manner, thus allowing its application for studies beyond those targeted by the ALFALFA collaboration. ALFALFA adopts a two-pass, minimum intrusion, drift scan observing technique that samples the same region of sky at two separate epochs to aid in the discrimination of cosmic signals from noise and terrestrial interference. Survey simulations, which take into account large-scale structure in the mass distribution and incorporate experience with the ALFA system gained from tests conducted during its commissioning phase, suggest that ALFALFA will detect on the order of 20,000 extragalactic H I line sources out to z ~ 0.06, including several hundred with H I masses M(HI) < 10(7.5) M ?.

768 citations

Book
09 Aug 2005
TL;DR: In this article, the authors define limit spaces, limit spaces and limit spaces in algebraic theory, and use them to define Iterated Monodromy groups (IMG) groups.
Abstract: Basic definitions and examples Algebraic theory Limit spaces Orbispaces Iterated monodromy groups Examples and applications Bibliography Index

520 citations

Journal ArticleDOI
06 Feb 2019-Nature
TL;DR: Using a make-on-demand library that contains hundreds-of-millions of molecules, structure-based docking was used to identify compounds that, after synthesis and testing, are shown to interact with AmpC β-lactamase and the D4 dopamine receptor with high affinity.
Abstract: Despite intense interest in expanding chemical space, libraries containing hundreds-of-millions to billions of diverse molecules have remained inaccessible. Here we investigate structure-based docking of 170 million make-on-demand compounds from 130 well-characterized reactions. The resulting library is diverse, representing over 10.7 million scaffolds that are otherwise unavailable. For each compound in the library, docking against AmpC β-lactamase (AmpC) and the D4 dopamine receptor were simulated. From the top-ranking molecules, 44 and 549 compounds were synthesized and tested for interactions with AmpC and the D4 dopamine receptor, respectively. We found a phenolate inhibitor of AmpC, which revealed a group of inhibitors without known precedent. This molecule was optimized to 77 nM, which places it among the most potent non-covalent AmpC inhibitors known. Crystal structures of this and other AmpC inhibitors confirmed the docking predictions. Against the D4 dopamine receptor, hit rates fell almost monotonically with docking score, and a hit-rate versus score curve predicted that the library contained 453,000 ligands for the D4 dopamine receptor. Of 81 new chemotypes discovered, 30 showed submicromolar activity, including a 180-pM subtype-selective agonist of the D4 dopamine receptor. Using a make-on-demand library that contains hundreds-of-millions of molecules, structure-based docking was used to identify compounds that, after synthesis and testing, are shown to interact with AmpC β-lactamase and the D4 dopamine receptor with high affinity.

516 citations


Authors

Showing all 10270 results

NameH-indexPapersCitations
Lesya Shchutska10494848804
Ata Sarajedini6833019901
Yves Mély6236813478
Andrei Slavin6133614019
Ie. Korol6125214685
Maksym Zyzak6014211147
Nazar Stefaniuk6032513333
Yaroslav Filinchuk6030112375
Gopalan Srinivasan5642615299
Anna N. Morozovska5533410306
Emmanuel Stratakis542939982
Andrey S. Klymchenko5424810474
Alexander P. Demchenko541758585
Andrii V. Chumak511618411
Alexey Boyarsky5016910425
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202353
2022161
20211,144
20201,634
20191,485
20181,127