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9,400 results on '"Kumar, Mukesh"'

171. Exploring the Impact of KNN and MLP Classifiers on Valence-Arousal Emotion Recognition Using EEG: An Analysis of DEAP Dataset and EEG Band Representations

Author

Jha, Sonu Kumar, Suvvari, Somaraju, Kumar, Mukesh, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, Ören, Tuncer, editor, Cherif, Amar Ramdane, editor, and Tomar, Ravi, editor

Published
2025
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174. mRNA-encoded Cas13 can be used to treat dengue infections in mice

Author

Basu, Mausumi, Zurla, Chiara, Auroni, Tabassum T., Vanover, Daryll, Chaves, Lorena C. S., Sadhwani, Heena, Pathak, Heather, Basu, Rahul, Beyersdorf, Jared P., Amuda, Oluwatomi O., Elsharkawy, Amany, Mosur, Varun, Arthur, Robert A., Claussen, Henry, Sasser, Loren E., Wroe, Jay A., Peck, Hannah E., Kumar, Mukesh, Brinton, Margo A., and Santangelo, Philip J.

Published
2024
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191. The scale invariant scotogenic model: CDF-II $W$-boson mass and the 95 GeV excesses

Author

Ahriche, Amine, Bellilet, Mohamed Lamine, Khojali, Mohammed Omer, Kumar, Mukesh, and Mulaudzi, Anza-Tshildzi

Subjects
High Energy Physics - Phenomenology
Abstract

The anomalies observed in the $W$ mass measurements at the CDF-II experiments and the excesses seen around 95~GeV at the Large Hadron Collider (LHC) motivate this work, in which we investigate and constrain the parameter space of the Scale Invariant Scotogenic Model with a Majorana dark matter candidate. The scanned parameters are chosen to be consistent with the dark matter relic density and the observed excesses at $\sim95$~GeV signal strength rates in different channels. We found that significant part of the viable space addresses the excess in the channel $\gamma\gamma$, while a tight part can address the excess in both $\gamma\gamma$ and $b\bar{b}$ channels. Furthermore, the model's viable parameters can be probed in both the LHC and future $e^{+}e^{-}$ colliders for di-Higgs production., Comment: 12 pages, 1 table, 4 captioned figures, accepted version to be appear in Physical Review D

Published
2023
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192. Terrestrial Very-Long-Baseline Atom Interferometry: Workshop Summary

Author

Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, and Zupanič, Erik

Subjects
High Energy Physics - Experiment, Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology, Physics - Atomic Physics
Abstract

This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more km-scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions., Comment: Summary of the Terrestrial Very-Long-Baseline Atom Interferometry Workshop held at CERN: https://indico.cern.ch/event/1208783/

Published
2023

197. Impact of Momentum Perturbation on Convective Boundary Layer Turbulence

Author

Kumar, Mukesh, Jonko, Alex, Lassman, William, Mirocha, Jeffrey D, Kosović, Branko, and Banerjee, Tirtha

Subjects
Earth Sciences, Atmospheric Sciences, convective boundary layer, large eddy simulation, nesting, turbulence generation, turbulence kinetic energy budget, Atmospheric sciences, Geoinformatics
Abstract

Mesoscale-to-microscale coupling is an important tool for conducting turbulence-resolving multiscale simulations of realistic atmospheric flows, which are crucial for applications ranging from wind energy to wildfire spread studies. Different techniques are used to facilitate the development of realistic turbulence in the large-eddy simulation (LES) domain while minimizing computational cost. Here, we explore the impact of a simple and computationally efficient Stochastic Cell Perturbation method using momentum perturbation (SCPM-M) to accelerate turbulence generation in boundary-coupled LES simulations using the Weather Research and Forecasting model. We simulate a convective boundary layer (CBL) to characterize the production and dissipation of turbulent kinetic energy (TKE) and the variation of TKE budget terms. Furthermore, we evaluate the impact of applying momentum perturbations of three magnitudes below, up to, and above the CBL on the TKE budget terms. Momentum perturbations greatly reduce the fetch associated with turbulence generation. When applied to half the vertical extent of the boundary layer, momentum perturbations produce an adequate amount of turbulence. However, when applied above the CBL, additional structures are generated at the top of the CBL, near the inversion layer. The magnitudes of the TKE budgets produced by SCPM-M when applied at varying heights and with different perturbation amplitudes are always higher near the surface and inversion layer than those produced by No-SCPM, as are their contributions to the TKE. This study provides a better understanding of how SCPM-M reduces computational costs and how different budget terms contribute to TKE in a boundary-coupled LES simulation.

Published
2024

198. Evaluating the performance of WRF in simulating winds and surface meteorology during a Southern California wildfire event

Author

Kumar, Mukesh, Kosović, Branko, Nayak, Hara P, Porter, William C, Randerson, James T, and Banerjee, Tirtha

Subjects
Earth Sciences, Physical Geography and Environmental Geoscience, Atmospheric Sciences, fire-weather, grid resolution, nesting, PBL scheme, wildfires, WRF, Geology, Geophysics, Physical geography and environmental geoscience
Abstract

The intensity and frequency of wildfires in California (CA) have increased in recent years, causing significant damage to human health and property. In October 2007, a number of small fire events, collectively referred to as the Witch Creek Fire or Witch Fire started in Southern CA and intensified under strong Santa Ana winds. As a test of current mesoscale modeling capabilities, we use the Weather Research and Forecasting (WRF) model to simulate the 2007 wildfire event in terms of meteorological conditions. The main objectives of the present study are to investigate the impact of horizontal grid resolution and planetary boundary layer (PBL) scheme on the model simulation of meteorological conditions associated with a Mega fire. We evaluate the predictive capability of the WRF model to simulate key meteorological and fire-weather forecast parameters such as wind, moisture, and temperature. Results of this study suggest that more accurate predictions of temperature and wind speed relevant for better prediction of wildfire spread can be achieved by downscaling regional numerical weather prediction products to 1 km resolution. Furthermore, accurate prediction of near-surface conditions depends on the choice of the planetary boundary layer parameterization. The MYNN parameterization yields more accurate prediction as compared to the YSU parameterization. WRF simulations at 1 km resolution result in better predictions of temperature and wind speed than relative humidity during the 2007 Witch Fire. In summary, the MYNN PBL parameterization scheme with finer grid resolution simulations improves the prediction of near-surface meteorological conditions during a wildfire event.

Published
2024

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