scispace - formally typeset
Search or ask a question
Institution

Brookhaven National Laboratory

FacilityUpton, New York, United States
About: Brookhaven National Laboratory is a facility organization based out in Upton, New York, United States. It is known for research contribution in the topics: Quantum chromodynamics & Scattering. The organization has 18828 authors who have published 39450 publications receiving 1782061 citations. The organization is also known as: BNL.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the temperature dependence of the screening radius, as obtained from lattice QCD, is compared with the J/ψ radius calculated in charmomium models, and the feasibility to detect this effect clearly in the dilepton mass spectrum is examined.

2,416 citations

Journal ArticleDOI
TL;DR: An integrated model of drug addiction that encompasses intoxication, bingeing, withdrawal, and craving is proposed, and results imply that addiction connotes cortically regulated cognitive and emotional processes, which result in the overvaluing of drug reinforcers, the undervalued of alternative rein forcers, and deficits in inhibitory control for drug responses.
Abstract: OBJECTIVE: Studies of the neurobiological processes underlying drug addiction primarily have focused on limbic subcortical structures. Here the authors evaluated the role of frontal cortical structures in drug addiction. METHOD: An integrated model of drug addiction that encompasses intoxication, bingeing, withdrawal, and craving is proposed. This model and findings from neuroimaging studies on the behavioral, cognitive, and emotional processes that are at the core of drug addiction were used to analyze the involvement of frontal structures in drug addiction. RESULTS: The orbitofrontal cortex and the anterior cingulate gyrus, which are regions neuroanatomically connected with limbic structures, are the frontal cortical areas most frequently implicated in drug addiction. They are activated in addicted subjects during intoxication, craving, and bingeing, and they are deactivated during withdrawal. These regions are also involved in higher-order cognitive and motivational functions, such as the ability to tr...

2,415 citations

Journal ArticleDOI
Shadab Alam1, Metin Ata2, Stephen Bailey3, Florian Beutler3, Dmitry Bizyaev4, Dmitry Bizyaev5, Jonathan Blazek6, Adam S. Bolton7, Joel R. Brownstein7, Angela Burden8, Chia-Hsun Chuang2, Chia-Hsun Chuang9, Johan Comparat9, Antonio J. Cuesta10, Kyle S. Dawson7, Daniel J. Eisenstein11, Stephanie Escoffier12, Héctor Gil-Marín13, Héctor Gil-Marín14, Jan Niklas Grieb15, Nick Hand16, Shirley Ho1, Karen Kinemuchi5, D. Kirkby17, Francisco S. Kitaura2, Francisco S. Kitaura3, Francisco S. Kitaura16, Elena Malanushenko5, Viktor Malanushenko5, Claudia Maraston18, Cameron K. McBride11, Robert C. Nichol18, Matthew D. Olmstead19, Daniel Oravetz5, Nikhil Padmanabhan8, Nathalie Palanque-Delabrouille, Kaike Pan5, Marcos Pellejero-Ibanez20, Marcos Pellejero-Ibanez21, Will J. Percival18, Patrick Petitjean22, Francisco Prada9, Francisco Prada21, Adrian M. Price-Whelan23, Beth Reid16, Beth Reid3, Sergio Rodríguez-Torres9, Sergio Rodríguez-Torres21, Natalie A. Roe3, Ashley J. Ross6, Ashley J. Ross18, Nicholas P. Ross24, Graziano Rossi25, Jose Alberto Rubino-Martin20, Jose Alberto Rubino-Martin21, Shun Saito15, Salvador Salazar-Albornoz15, Lado Samushia26, Ariel G. Sánchez15, Siddharth Satpathy1, David J. Schlegel3, Donald P. Schneider27, Claudia G. Scóccola28, Claudia G. Scóccola9, Claudia G. Scóccola29, Hee-Jong Seo30, Erin Sheldon31, Audrey Simmons5, Anže Slosar31, Michael A. Strauss23, Molly E. C. Swanson11, Daniel Thomas18, Jeremy L. Tinker32, Rita Tojeiro33, Mariana Vargas Magaña34, Mariana Vargas Magaña1, Jose Alberto Vazquez31, Licia Verde, David A. Wake35, David A. Wake36, Yuting Wang18, Yuting Wang37, David H. Weinberg6, Martin White3, Martin White16, W. Michael Wood-Vasey38, Christophe Yèche, Idit Zehavi39, Zhongxu Zhai33, Gong-Bo Zhao18, Gong-Bo Zhao37 
TL;DR: In this article, the authors present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III.
Abstract: We present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III. Our combined galaxy sample comprises 1.2 million massive galaxies over an effective area of 9329 deg^2 and volume of 18.7 Gpc^3, divided into three partially overlapping redshift slices centred at effective redshifts 0.38, 0.51 and 0.61. We measure the angular diameter distance and Hubble parameter H from the baryon acoustic oscillation (BAO) method, in combination with a cosmic microwave background prior on the sound horizon scale, after applying reconstruction to reduce non-linear effects on the BAO feature. Using the anisotropic clustering of the pre-reconstruction density field, we measure the product D_MH from the Alcock–Paczynski (AP) effect and the growth of structure, quantified by fσ_8(z), from redshift-space distortions (RSD). We combine individual measurements presented in seven companion papers into a set of consensus values and likelihoods, obtaining constraints that are tighter and more robust than those from any one method; in particular, the AP measurement from sub-BAO scales sharpens constraints from post-reconstruction BAOs by breaking degeneracy between D_M and H. Combined with Planck 2016 cosmic microwave background measurements, our distance scale measurements simultaneously imply curvature Ω_K = 0.0003 ± 0.0026 and a dark energy equation-of-state parameter w = −1.01 ± 0.06, in strong affirmation of the spatially flat cold dark matter (CDM) model with a cosmological constant (ΛCDM). Our RSD measurements of fσ_8, at 6 per cent precision, are similarly consistent with this model. When combined with supernova Ia data, we find H_0 = 67.3 ± 1.0 km s^−1 Mpc^−1 even for our most general dark energy model, in tension with some direct measurements. Adding extra relativistic species as a degree of freedom loosens the constraint only slightly, to H_0 = 67.8 ± 1.2 km s^−1 Mpc^−1. Assuming flat ΛCDM, we find Ω_m = 0.310 ± 0.005 and H_0 = 67.6 ± 0.5 km s^−1 Mpc^−1, and we find a 95 per cent upper limit of 0.16 eV c^−2 on the neutrino mass sum.

2,413 citations

Journal ArticleDOI
TL;DR: SDSS-III as mentioned in this paper is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars.
Abstract: Building on the legacy of the Sloan Digital Sky Survey (SDSS-I and II), SDSS-III is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars. In keeping with SDSS tradition, SDSS-III will provide regular public releases of all its data, beginning with SDSS DR8 (which occurred in Jan 2011). This paper presents an overview of the four SDSS-III surveys. BOSS will measure redshifts of 1.5 million massive galaxies and Lya forest spectra of 150,000 quasars, using the BAO feature of large scale structure to obtain percent-level determinations of the distance scale and Hubble expansion rate at z 100 per resolution element), H-band (1.51-1.70 micron) spectra of 10^5 evolved, late-type stars, measuring separate abundances for ~15 elements per star and creating the first high-precision spectroscopic survey of all Galactic stellar populations (bulge, bar, disks, halo) with a uniform set of stellar tracers and spectral diagnostics. MARVELS will monitor radial velocities of more than 8000 FGK stars with the sensitivity and cadence (10-40 m/s, ~24 visits per star) needed to detect giant planets with periods up to two years, providing an unprecedented data set for understanding the formation and dynamical evolution of giant planet systems. (Abridged)

2,265 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented the final report from a series of precision measurements of the muon anomalous magnetic moment, a(mu)=(g-2)/2.54 ppm, which represents a 14-fold improvement compared to previous measurements at CERN.
Abstract: We present the final report from a series of precision measurements of the muon anomalous magnetic moment, a(mu)=(g-2)/2. The details of the experimental method, apparatus, data taking, and analysis are summarized. Data obtained at Brookhaven National Laboratory, using nearly equal samples of positive and negative muons, were used to deduce a(mu)(Expt)=11659208.0(5.4)(3.3)x10(-10), where the statistical and systematic uncertainties are given, respectively. The combined uncertainty of 0.54 ppm represents a 14-fold improvement compared to previous measurements at CERN. The standard model value for a(mu) includes contributions from virtual QED, weak, and hadronic processes. While the QED processes account for most of the anomaly, the largest theoretical uncertainty, approximate to 0.55 ppm, is associated with first-order hadronic vacuum polarization. Present standard model evaluations, based on e(+)e(-) hadronic cross sections, lie 2.2-2.7 standard deviations below the experimental result.

2,207 citations


Authors

Showing all 18948 results

NameH-indexPapersCitations
H. S. Chen1792401178529
Nora D. Volkow165958107463
David H. Adams1551613117783
Todd Adams1541866143110
Jay Roberts1521562120516
Jongmin Lee1502257134772
Andrew White1491494113874
Th. Müller1441798125843
Alexander Milov142114393374
Alexander Belyaev1421895100796
Gunther Roland1411471100681
Mingshui Chen1411543125369
David Lynn139104490913
Kaushik De1391625102058
Xin Chen1391008113088
Network Information
Related Institutions (5)
Lawrence Berkeley National Laboratory
66.5K papers, 4.1M citations

94% related

Max Planck Society
406.2K papers, 19.5M citations

90% related

Stony Brook University
68.2K papers, 3M citations

88% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

88% related

Massachusetts Institute of Technology
268K papers, 18.2M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022188
20211,205
20201,327
20191,306
20181,198