Results 1 to 10 of about 1,710 (86)

Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment [PDF]

Journal of High Energy Physics, 2022
This paper presents updated Monte Carlo configurations used to model the production of single electroweak vector bosons (W, Z/γ∗) in association with jets in proton-proton collisions for the ATLAS experiment at the Large Hadron Collider.
G. Aad, B. Abbott, D. Abbott, A. Abed Abud, K. Abeling, D. Abhayasinghe, S. H. Abidi, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, A. Abusleme Hoffman, B. Acharya, B. Achkar, L. Adam, C. Adam Bourdarios, L. Adamczyk, L. Adamek, S. Addepalli, J. Adelman, A. Adiguzel, S. Adorni, T. Adye, A. Affolder, Y. Afik, C. Agapopoulou, M. N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, J. A. Aguilar-Saavedra, A. Ahmad, F. Ahmadov, W. S. Ahmed, X. Ai, G. Aielli, I. Aizenberg, M. Akbiyik, T. Åkesson, A. Akimov, K. Al Khoury, G. Alberghi, J. Albert, P. Albicocco, M. Alconada Verzini, S. Alderweireldt, M. Aleksa, I. Aleksandrov, C. Alexa, T. Alexopoulos, A. Alfonsi, F. Alfonsi, M. Alhroob, B. Ali, S. Ali, M. Aliev, G. Alimonti, C. Allaire, B. Allbrooke, P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, E. Alunno Camelia, M. Alvarez Estevez, M. Alviggi, Y. Amaral Coutinho, A. Ambler, L. Ambroz, C. Amelung, D. Amidei, S. Amor Dos Santos, S. Amoroso, K. Amos, C. Amrouche, V. Ananiev, C. Anastopoulos, N. Andari, T. Andeen, J. Anders, S. Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A. Anisenkov, A. Annovi, C. Antel, M. Anthony, E. Antipov, M. Antonelli, D. Antrim, F. Anulli, M. Aoki, J. Aparisi Pozo, M. Aparo, L. Aperio Bella, N. Aranzabal, V. Araujo Ferraz, C. Arcangeletti, A. Arce, E. Arena, J. Arguin, S. Argyropoulos, J. Arling, A. Armbruster, A. Armstrong, O. Arnaez, H. Arnold, Z. Arrubarrena Tame, G. Artoni, H. Asada, K. Asai, S. Asai, N. Asbah, E. Asimakopoulou, L. Asquith, J. Assahsah, K. Assamagan, R. Astalos, R. Atkin, M. Atkinson, N. B. Atlay, H. Atmani, P. Atmasiddha, K. Augsten, S. Auricchio, V. Austrup, G. Avner, G. Avolio, M. Ayoub, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, P. Bagnaia, M. Bahmani, A. Bailey, V. R. Bailey, J. Baines, C. Bakalis, O. Baker, P. Bakker, E. Bakos, D. Bakshi Gupta, S. Balaji, R. Balasubramanian, E. Baldin, P. Balek, E. Ballabene, F. Balli, L. Baltes, W. Balunas, J. Balz, E. Banas, M. Bandieramonte, A. Bandyopadhyay, S. Bansal, L. Barak, E. Barberio, D. Barberis, M. Barbero, G. Barbour, K. N. Barends, T. Barillari, M. Barisits, J. Barkeloo, T. Barklow, R. Barnett, P. Baron, A. Baroncelli, G. Barone, A. Barr, L. Barranco Navarro, F. Barreiro, J. Barreiro Guimarães da Costa, U. Barron, S. Barsov, F. Bartels, R. Bartoldus, G. Bartolini, A. Barton, P. Bartos, A. Basalaev, A. Basan, M. Baselga, I. Bashta, A. Bassalat, M. Basso, C. Basson, R. Bates, S. Batlamous, J. Batley, B. Batool, M. Battaglia, M. Bauce, F. Bauer, P. Bauer, A. Bayirli, J. Beacham, T. Beau, P. Beauchemin, F. Becherer, P. Bechtle, H. Beck, K. Becker, C. Becot, A. Beddall, V. Bednyakov, C. Bee, T. Beermann, M. Begalli, M. Begel, A. Behera, J. Behr, C. Beirao Da Cruz E Silva, J. F. Beirer, F. Beisiegel, M. Belfkir, G. Bella, L. Bellagamba, A. Bellerive, P. Bellos, K. Beloborodov, K. Belotskiy, N. Belyaev, D. Benchekroun, Y. Benhammou, D. Benjamin, M. Benoit, J. Bensinger, S. Bentvelsen, L. Beresford, M. Beretta, D. Berge, E. Bergeaas Kuutmann, N. Berger, B. Bergmann, L. Bergsten, J. Beringer, S. Berlendis, G. Bernardi, C. Bernius, F. Bernlochner, T. Berry, P. Berta, I. Bertram, O. Bessidskaia Bylund, S. Bethke, A. Betti, A. Bevan, S. Bhatta, D. Bhattacharya, P. Bhattarai, V. Bhopatkar, R. Bi, R. Bianchi, O. Biebel, R. Bielski, N. Biesuz, M. Biglietti, T. Billoud, M. Bindi, A. Bingul, C. Bini, S. Biondi, A. Biondini, C. Birch-sykes, G. Bird, M. Birman, T. Bisanz, J. Biswal, D. Biswas, A. Bitadze, K. Bjørke, I. Bloch, C. Blocker, A. Blue, U. Blumenschein, J. Blumenthal, G. Bobbink, V. Bobrovnikov, M. Boehler, D. Bogavac, A. Bogdanchikov, C. Bohm, V. Boisvert, P. Bokan, T. Bold, M. Bomben, M. Bona, M. Boonekamp, C. Booth, A. Borbély, H. Borecka-Bielska, L. S. Borgna, G. Borissov, Daniela Bortoletto, D. Boscherini, M. Bosman, J. Bossio Sola, K. Bouaouda, J. Boudreau, E. Bouhova-Thacker, D. Boumediene, R. Bouquet, A. Boveia, J. Boyd, D. Boye, I. Boyko, J. Bracinik, N. Brahimi, G. Brandt, O. Brandt, F. Braren, B. Brau, J. Brau, W. Breaden Madden, K. Brendlinger, R. Brener, L. Brenner, R. Brenner, S. Bressler, B. Brickwedde, D. Britton, D. Britzger, I. Brock, G. Brooijmans, W. Brooks, E. Brost, P. Bruckman de Renstrom, B. Brüers, D. Bruncko, A. Bruni, G. Bruni, M. Bruschi, N. Bruscino, L. Bryngemark, T. Buanes, Q. Buat, P. Buchholz, A. Buckley, I. Budagov, M. K. Bugge, O. Bulekov, B. Bullard, S. Burdin, C. Burgard, A. Burger, B. Burghgrave, J. Burr, C. Burton, J. Burzynski, E. L. Busch, V. Büscher, P. Bussey, J. Butler, C. Buttar, J. Butterworth, W. Buttinger, C. Buxo Vazquez, A. Buzykaev, G. Cabras, S. Cabrera Urbán, D. Caforio, Han Cai, V. Cairo, O. Cakir, N. Calace, P. Calafiura, G. Calderini, P. Calfayan, G. Callea, L. Calôba, D. Calvet, S. Calvet, T. Calvet, M. Calvetti, R. Camacho Toro, S. Camarda, D. Camarero Munoz, P. Camarri, M. Camerlingo, D. Cameron, C. Camincher, M. Campanelli, A. Camplani, V. Canale, A. Canesse, M. Cano Bret, J. Cantero, Y. Cao, F. Capocasa, M. Capua, A. Carbone, R. Cardarelli, J. Cardenas, F. Cardillo, G. Carducci, T. Carli, G. Carlino, B. Carlson, E. Carlson, L. Carminati, M. Carnesale, S. Caron, E. Carquin, S. Carrá, G. Carratta, J. Carter, T. Carter, D. Casadei, M. P. Casado, A. Casha, E. G. Castiglia, F. Castillo, L. Castillo García, V. Castillo Gimenez, N. Castro, A. Catinaccio, J. Catmore, V. Cavaliere, N. Cavalli, V. Cavasinni, E. Celebi, F. Celli, M. S. Centonze, K. Cerny, A. Cerqueira, A. Cerri, L. Cerrito, F. Cerutti, A. Cervelli, S. Çetin, Z. Chadi, D. Chakraborty, M. Chala, J. Chan, W. Chan, W. Y. Chan, J. Chapman, B. Chargeishvili, D. Charlton, T. Charman, M. Chatterjee, S. Chekanov, S. Chekulaev, G. Chelkov, A. Chen, B. Chen, C. Chen, H. Chen, J. Chen, S. Chen, S. Chen, X. Chen, Y. Chen, C. Cheng, H. C. Cheng, A. Cheplakov, E. Cheremushkina, E. Cherepanova, R. Cherkaoui El Moursli, E. Cheu, K. Cheung, L. Chevalier, V. Chiarella, G. Chiarelli, G. Chiodini, A. Chisholm, A. Chitan, Y. Chiu, M. Chizhov, K. Choi, A. Chomont, Y. Chou, E. Chow, T. Chowdhury, L. D. Christopher, M. Chu, X. Chu, J. Chudoba, J. Chwastowski, D. Cieri, K. Ciesla, V. Cindro, A. Ciocio, F. Cirotto, Z. Citron, M. Citterio, D. Ciubotaru, B. Ciungu, A. Clark, P. Clark, J. Clavijo Columbie, S. Clawson, C. Clement, L. Clissa   +499 more
semanticscholar   +2 more sources

Learning new physics efficiently with nonparametric methods [PDF]

The European Physical Journal C, 2022
We present a machine learning approach for model-independent new physics searches. The corresponding algorithm is powered by recent large-scale implementations of kernel methods, nonparametric learning algorithms that can approximate any continuous ...
M. Letizia, Gianvito Losapio, Marco Rando, G. Grosso, A. Wulzer, M. Pierini, M. Zanetti, L. Rosasco   +7 more
semanticscholar   +1 more source

Simulation of multi-species flow and heat transfer using physics-informed neural networks [PDF]

, 2021
In the present work, singleand segregated-network PINN architectures are applied to predict momentum, species and temperature distributions of a dry air humidification problem in a simple 2D rectangular domain.
R. Laubscher
semanticscholar   +1 more source

Efficient Learning of a One-dimensional Density Functional Theory [PDF]

, 2020
Density functional theory underlies the most successful and widely used numerical methods for electronic structure prediction of solids. However, it has the fundamental shortcoming that the universal density functional is unknown.
Denner, M. Michael, Fischer, Mark H., Neupert, Titus   +2 more
core   +2 more sources

Two physics‐based models for pH‐dependent calculations of protein solubility

Protein Science, 2022
When engineering a protein for its biological function, many physicochemical properties are also optimized throughout the engineering process, and the protein's solubility is among the most important properties to consider.
V. Spassov, H. Kemmish, Lisa Yan
semanticscholar   +1 more source

Removal of copper (II) from aqueous solution using biopolymer-based materials: Theoretical and statistical physics investigation for wastewater treatment

Global NEST International Conference on Environmental Science & Technology, 2023
Pollution from heavy metals is increasingly recognized as a major threat to Earth's ecosystem. Due to the potential economic and ecological consequences, there is an urgent need to develop waste management systems and strategies for disposing of copper ...
Yadav Yadav, Noureddine Elboughdiri, Hana Ferkous, K. Rouibah, Amel Delim, Abir Boublia, JariS. Algethami, M. Alqahtani, Byong-hun Jeon, Yacine Benguerba   +9 more
semanticscholar   +1 more source

Exploring complex pattern formation with convolutional neural networks [PDF]

American Journal of Physics, 2021
Many nonequilibrium systems, such as biochemical reactions and socioeconomic interactions, can be described by reaction-diffusion equations that demonstrate a wide variety of complex spatiotemporal patterns.
Christian Scholz, Sandra S. Scholz
semanticscholar   +1 more source

A-B Transition in Superfluid 3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^3$$\end{document}He and Cosmological Ph [PDF]

Journal of Low Temperature Physics
First-order phase transitions in the very early universe are a prediction of many extensions of the Standard Model of particle physics and could provide the departure from equilibrium needed for a dynamical explanation of the baryon asymmetry of the ...
M. Hindmarsh, J. Sauls, Kuang Zhang, S. Autti, Richard P. Haley, P. J. Heikkinen, Stephan J. Huber, L. Levitin, A. Lopez-Eiguren, Adam J. Mayer, Kari Rummukainen, John Saunders, D. Zmeev   +12 more
semanticscholar   +1 more source

A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pKa Predictions in Proteins

Journal of Chemical Theory and Computation, 2022
Existing computational methods for estimating pKa values in proteins rely on theoretical approximations and lengthy computations. In this work, we use a data set of 6 million theoretically determined pKa shifts to train deep learning models, which are ...
Pedro B. P. S. Reis, Marco Bertolini, F. Montanari, W. Rocchia, M. Machuqueiro, Djork-Arné Clevert   +5 more
semanticscholar   +1 more source

Machine learning, quantum chaos, and pseudorandom evolution

, 2020
By modeling quantum chaotic dynamics with ensembles of random operators, we explore howmachine learning learning algorithms can be used to detect pseudorandom behavior in qubit systems.We analyze samples consisting of pieces of correlation functions and ...
Alves, Daniel W. F., Flynn, Michael O.
core   +1 more source