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Pushpalatha C. Bhat

Publications and source records attributed to Pushpalatha C. Bhat.

11 recordsLinked to original sources
arXiv2022

Strategy for Understanding the Higgs Physics: The Cool Copper Collider

A program to build a lepton-collider Higgs factory, to precisely measure the couplings of the Higgs boson to other particles, followed by a higher energy run to establish the Higgs self-coupling and expand the new physics reach, is widely recognized as a primary focus of modern particle physics. We propose a strategy that focuses on a new technology and preliminary estimates suggest that can lead to a compact, affordable machine. New technology investigations will provide much needed enthusiasm for our field, resulting in trained workforce. This cost-effective, compact design, with technologies useful for a broad range of other accelerator applications, could be realized as a project in the US. Its technology innovations, both in the accelerator and the detector, will offer unique and exciting opportunities to young scientists. Moreover, cost effective compact designs, broadly applicable to other fields of research, are more likely to obtain financial support from our funding agencies.

hep-ex↗
arXiv2020

Particle Physics at Accelerators in the United States and Asia

Particle physics experiments in the United States and Asia have greatly contributed to the understanding of elementary particles and their interactions. With the recent discovery of the Higgs boson at CERN, interest in the development of next-generation colliders has been rekindled. A linear electron-positron collider in Japan and a circular collider in China have been proposed for precision studies of the Higgs boson. In addition to the Higgs programme, new accelerator-based long-baseline neutrino mega-facilities are being built in the United States and Japan. Here, we outline the present status of key particle physics programmes at accelerators and future plans in the United States and Asia that largely complement approaches being explored in the European Strategy for Particle Physics Update. We encourage the pursuit of this global approach, reaching beyond regional boundaries for optimized development and operations of major accelerator facilities worldwide, to ensure active and productive future of the field.

hep-ex↗
arXiv2019

Report of the International Committee for Future Accelerators

The International Committee for Future Accelerators (ICFA) has been in existence for well over four decades. Its mission is to facilitate international collaboration in the construction and use of accelerators for high energy physics. This report presents, after a brief introduction, some recent activities of ICFA and its panels. The International Linear Collider (ILC) and its current status are briefly discussed.

physics.acc-ph↗
arXiv2018

Optimizing Event Selection with the Random Grid Search

The random grid search (RGS) is a simple, but efficient, stochastic algorithm to find optimal cuts that was developed in the context of the search for the top quark at Fermilab in the mid-1990s. The algorithm, and associated code, have been enhanced recently with the introduction of two new cut types, one of which has been successfully used in searches for supersymmetry at the Large Hadron Collider. The RGS optimization algorithm is described along with the recent developments, which are illustrated with two examples from particle physics. One explores the optimization of the selection of vector boson fusion events in the four-lepton decay mode of the Higgs boson and the other optimizes SUSY searches using boosted objects and the razor variables.

hep-ph↗
arXiv2007

Bayesian Learning of Neural Networks for Signal/Background Discrimination in Particle Physics

Neural networks are used extensively in classification problems in particle physics research. Since the training of neural networks can be viewed as a problem of inference, Bayesian learning of neural networks can provide more optimal and robust results than conventional learning methods. We have investigated the use of Bayesian neural networks for signal/background discrimination in the search for second generation leptoquarks at the Tevatron, as an example. We present a comparison of the results obtained from the conventional training of feedforward neural networks and networks trained with Bayesian methods.

physics.data-an↗
arXiv2004

Fermilab Collider Run II: Accelerator Status and Upgrades

Fermilab will continue to maintain its pre-eminent position in the world of High Energy Physics, with a unique opportunity to make unprecedented studies of the top quark and major discoveries, until the Large Hadron collider (LHC) at CERN becomes operational near the end of the decade. Run II is well underway with major accelerator and detector upgrades since Run I. A program of further upgrades to the accelerator complex will result in an integrated luminosity of 4-8 fb-1 per experiment, by the year 2009.

hep-ex↗
arXiv2001

Advanced Analysis Methods in High Energy Physics

During the coming decade, high energy physics experiments at the Fermilab Tevatron and around the globe will use very sophisticated equipment to record unprecedented amounts of data in the hope of making major discoveries that may unravel some of Nature's deepest mysteries. The discovery of the Higgs boson and signals of new physics may be around the corner. The use of advanced analysis techniques will be crucial in achieving these goals. I will discuss some of the novel methods of analysis that could prove to be particularly valuable for finding evidence of any new physics, for improving precision measurements and for exploring parameter spaces of theoretical models.

hep-ex↗
arXiv2001

New Directions in Data Analysis

In the next decade, high energy physicists will use very sophisticated equipment to record unprecedented amounts of data in the hope of making major advances in our understanding of particle phenomena. Some of the signals of new physics will be small, and the use of advanced analysis techniques will be crucial for optimizing signal to noise ratio. I will discuss new directions in data analysis and some novel methods that could prove to be particularly valuable for finding evidence of any new physics, for improving precision measurements and for exploring parameter spaces of theoretical models.

hep-ex↗
arXiv2000

Strategy for discovering a low-mass Higgs boson at the Fermilab Tevatron

We have studied the potential of the CDF and DZero experiments to discover a low-mass Standard Model Higgs boson, during Run II, via the processes $p\bar{p}$ -> WH -> $\ellνb\bar{b}$, $p\bar{p}$ -> ZH -> $\ell^{+}\ell^{-}b\bar{b}$ and $p\bar{p}$ -> ZH ->$ν\barν b\bar{b}$. We show that a multivariate analysis using neural networks, that exploits all the information contained within a set of event variables, leads to a significant reduction, with respect to {\em any} equivalent conventional analysis, in the integrated luminosity required to find a Standard Model Higgs boson in the mass range 90 GeV/c**2 < M_H < 130 GeV/c**2. The luminosity reduction is sufficient to bring the discovery of the Higgs boson within reach of the Tevatron experiments, given the anticipated integrated luminosities of Run II, whose scope has recently been expanded.

hep-ph↗
arXiv1995

Search for the Top Quark at D0 using Multivariate Methods

We report on the search for the top quark in proton-antiproton collisions at the Fermilab Tevatron in the di-lepton and lepton+jets channels using multivariate methods. An H-matrix analysis of the e-mu data corresponding to an integrated luminosity of about 13.5 pb-1 yields one event with a likelihood to be a top event (assuming top mass of 180 GeV/c**2) that is 10 times more than WW and 18 times more than Z -> tau tau. A neural network analysis of e+jets channel with about 48 pb-1 of data shows an excess of events in the signal region and yields a cross-section for top-antitop production of 6.7 +/- 2.3(stat.) pb, assuming a top mass of 200 GeV/c**2. A PDE analysis of e+jets data gives results consistent with the above.

hep-ex↗