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Institution

Tata Institute of Fundamental Research

EducationMumbai, Maharashtra, India
About: Tata Institute of Fundamental Research is a education organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topics: Magnetization & Large Hadron Collider. The organization has 7786 authors who have published 21742 publications receiving 622368 citations. The organization is also known as: TIFR.


Papers
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Journal ArticleDOI
S. Schael1, R. Barate2, R. Brunelière2, D. Buskulic2  +1672 moreInstitutions (143)
TL;DR: In this paper, the results of the four LEP experiments were combined to determine fundamental properties of the W boson and the electroweak theory, including the branching fraction of W and the trilinear gauge-boson self-couplings.

684 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2134 moreInstitutions (142)
TL;DR: The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays, and no significant deviations are found.
Abstract: Properties of the Higgs boson with mass near 125 GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include gamma gamma, ZZ, WW, tau tau, bb, and mu mu pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1 inverse femtobarns at 7 TeV and up to 19.7 inverse femtobarns at 8 TeV. From the high-resolution gamma gamma and ZZ channels, the mass of the Higgs boson is determined to be 125.02 +0.26 -0.27 (stat) +0.14 -0.15 (syst) GeV. For this mass value, the event yields obtained in the different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is 1.00 +/- 0.09 (stat) +0.08 -0.07 (theo) +/- 0.07 (syst) at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. No significant deviations are found.

677 citations

Journal ArticleDOI
TL;DR: The evidence now available shows that tobacco smoke is a multipotent carcinogenic mixture that can cause cancer in many different organs, and exposure to secondhand tobacco Smoke is also carcinogenic for the human lung.
Abstract: During the 1950s, the evidence was clearly sufficient to establish the carcinogenicity of tobacco smoking (1). By the end of the 1950s, convincing evidence linking smoking with lung cancer and other cancers had been obtained from case–control and cohort studies, carcinogens had been identified in tobacco smoke, and cigarette smoke condensate had been shown to cause tumors when painted on the skin of mice. Since then, the numbers of deaths attributable to tobacco smoking have sharply increased, reflecting the heavy smoking patterns of previous decades. It has been estimated that tobacco smoking is currently responsible for approximately 30% of all cancer deaths in developed countries, and that if current smoking patterns persist, an epidemic of cancer attributable to tobacco smoking is expected to occur in developing countries (2). In addition, smoking causes even more deaths from vascular, respiratory, and other diseases than from cancer, so that, in total, tobacco smoking is estimated to account for approximately 4–5 million deaths a year worldwide. This number is projected to increase to approximately 10 million a year by 2030. Thus, if current smoking patterns continue, there will be more than 1 billion deaths attributable to tobacco smoking in the 21 century compared with approximately 100 million deaths in the 20 century (2). The only other causes of disease with such rapidly increasing impact are those associated with human immunodeficiency virus infection and, perhaps, obesity in Western countries (2). In this commentary, we review the evidence regarding the carcinogenicity of tobacco smoke that has accumulated during the last 16 years since the publication of Monograph 38 of the International Agency for Research on Cancer (IARC) in 1986 (3) to the updating of that monograph (Monograph 83) in 2002 (4). The evidence now available shows that tobacco smoke is a multipotent carcinogenic mixture that can cause cancer in many different organs. In addition, exposure to secondhand tobacco smoke (i.e., involuntary or passive smoking by persons who do not smoke) is also carcinogenic for the human lung. This commentary, written by the epidemiologists who participated in the 2002 IARC Working Group for the preparation of the IARC Monograph 83 (4), is based on the substantial body of evidence reviewed for that purpose. It represents, however, solely the views of the authors.

671 citations

Journal ArticleDOI
M. Huschle1, T. Kuhr2, M. Heck1, P. Goldenzweig1  +218 moreInstitutions (64)
TL;DR: In this paper, the branching fraction ratio R(D)(()*()) of (B) over bar → D-(*())tau(-)(nu)over bar (tau) relative to (B), where l = e or mu, was measured using the full Belle data sample.
Abstract: We report a measurement of the branching fraction ratios R(D)(()*()) of (B) over bar -> D-(*())tau(-)(nu) over bar (tau) relative to (B) over bar -> D-(*())l(-)(nu) over barl (where l = e or mu) using the full Belle data sample of 772 x 10(6)B (B) over bar pairs collected at the Upsilon(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider. The measured values are R(D) = 0.375 +/- 0.064(stat) +/- 0.026(syst) and R(D*) = 0.293 +/- 0.038 (stat) +/- 0.015 (syst). The analysis uses hadronic reconstruction of the tag-side B meson and purely leptonic t decays. The results are consistent with earlier measurements and do not show a significant deviation from the standard model prediction.

652 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a mathematical framework to model random blockages and analyze their impact on cellular network performance, and showed that the probability of a link not intersecting by any blockages decays exponentially with the link length.
Abstract: Large-scale blockages such as buildings affect the performance of urban cellular networks, especially at higher frequencies. Unfortunately, such blockage effects are either neglected or characterized by oversimplified models in the analysis of cellular networks. Leveraging concepts from random shape theory, this paper proposes a mathematical framework to model random blockages and analyze their impact on cellular network performance. Random buildings are modeled as a process of rectangles with random sizes and orientations whose centers form a Poisson point process on the plane. The distribution of the number of blockages in a link is proven to be a Poisson random variable with parameter dependent on the length of the link. Our analysis shows that the probability that a link is not intersected by any blockages decays exponentially with the link length. A path loss model that incorporates the blockage effects is also proposed, which matches experimental trends observed in prior work. The model is applied to analyze the performance of cellular networks in urban areas with the presence of buildings, in terms of connectivity, coverage probability, and average rate. Our results show that the base station density should scale superlinearly with the blockage density to maintain the network connectivity. Our analyses also show that while buildings may block the desired signal, they may still have a positive impact on the SIR coverage probability and achievable rate since they can block significantly more interference.

650 citations


Authors

Showing all 7857 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Suvadeep Bose154960129071
Subir Sarkar1491542144614
Sw. Banerjee1461906124364
Dipanwita Dutta1431651103866
Ajit Kumar Mohanty141112493062
Tariq Aziz138164696586
Andrew Mehta1371444101810
Suchandra Dutta134126587709
Kajari Mazumdar134129594253
Bobby Samir Acharya1331121100545
Gobinda Majumder133152387732
Eric Conte132120684593
Prashant Shukla131134185287
Alessandro Montanari131138793071
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
2022128
2021939
20201,085
20191,100
20181,040