Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Lessa, André"'
Autor:
Altakach, Mohammad Mahdi, Kraml, Sabine, Lessa, Andre, Narasimha, Sahana, Pascal, Timothée, Ramos, Camila, Villamizar, Yoxara, Waltenberger, Wolfgang
SModelS is a public tool for fast reinterpretation of LHC searches for new physics based on a large database of simplified model results. While previous versions were limited to models with a Z2-type symmetry, such as R-parity conserving supersymmetr
Externí odkaz:
http://arxiv.org/abs/2409.12942
Autor:
Hallin, Anna, Kasieczka, Gregor, Kraml, Sabine, Lessa, André, Moureaux, Louis, von Schwartz, Tore, Shih, David
We develop a machine learning method for mapping data originating from both Standard Model processes and various theories beyond the Standard Model into a unified representation (latent) space while conserving information about the relationship betwe
Externí odkaz:
http://arxiv.org/abs/2407.20315
Publikováno v:
Phys.Rev.D 110 (2024) 1, 015031
Conversion-driven freeze-out is an appealing mechanism to explain the observed relic density while naturally accommodating the null-results from direct and indirect detection due to a very weak dark matter coupling. Interestingly, the scenario predic
Externí odkaz:
http://arxiv.org/abs/2404.16086
Autor:
Altakach, Mohammad Mahdi, Kraml, Sabine, Lessa, Andre, Narasimha, Sahana, Pascal, Timothée, Reymermier, Théo, Waltenberger, Wolfgang
Publikováno v:
SciPost Phys. 16, 101 (2024)
Electroweak-inos, superpartners of the electroweak gauge and Higgs bosons, play a special role in supersymmetric theories. Their intricate mixing into chargino and neutralino mass eigenstates leads to a rich phenomenology, which makes it difficult to
Externí odkaz:
http://arxiv.org/abs/2312.16635
Autor:
Araz, Jack Y., Buckley, Andy, Kasieczka, Gregor, Kieseler, Jan, Kraml, Sabine, Kvellestad, Anders, Lessa, Andre, Procter, Tomasz, Raklev, Are, Reyes-Gonzalez, Humberto, Rolbiecki, Krzysztof, Sekmen, Sezen, Unel, Gokhan
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practica
Externí odkaz:
http://arxiv.org/abs/2312.14575
Autor:
Lessa, André, Sanz, Verónica
Publikováno v:
JHEP 04 107 (2024)
We present a new way to interpret Top Standard Model measurements going beyond the SMEFT framework. Instead of the usual paradigm in Top EFT, where the main effects come from tails in momenta distributions, we propose an interpretation in terms of ne
Externí odkaz:
http://arxiv.org/abs/2312.00670
Autor:
Altakach, Mohammad Mahdi, Kraml, Sabine, Lessa, Andre, Narasimha, Sahana, Pascal, Timothée, Waltenberger, Wolfgang
Publikováno v:
SciPost Phys. 15, 185 (2023)
We present version 2.3 of SModelS, a public tool for the fast reinterpretation of LHC searches for new physics on the basis of simplified-model results. The main new features are a database update with the latest available experimental results for fu
Externí odkaz:
http://arxiv.org/abs/2306.17676
Autor:
Bailey, Stephen, Bierlich, Christian, Buckley, Andy, Butterworth, Jon, Cranmer, Kyle, Feickert, Matthew, Heinrich, Lukas, Huebl, Axel, Kraml, Sabine, Kvellestad, Anders, Lange, Clemens, Lessa, Andre, Lassila-Perini, Kati, Nattrass, Christine, Neubauer, Mark S., Sekmen, Sezen, Stark, Giordon, Watt, Graeme
We make the case for the systematic, reliable preservation of event-wise data, derived data products, and executable analysis code. This preservation enables the analyses' long-term future reuse, in order to maximise the scientific impact of publicly
Externí odkaz:
http://arxiv.org/abs/2203.10057
Autor:
Lessa, André Filipe Lourenço
Estágio realizado na Qimonda e orientado pelo Eng.ª Teresa Carreiro
Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 2008
Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 2008
Externí odkaz:
http://hdl.handle.net/10216/59945
Autor:
Alguero, Gaël, Heisig, Jan, Khosa, Charanjit, Kraml, Sabine, Kulkarni, Suchita, Lessa, Andre, Reyes-González, Humberto, Waltenberger, Wolfgang, Wongel, Alicia
We present version 2 of SModelS, a program package for the fast reinterpretation of LHC searches for new physics on the basis of simplified model results. The major novelty of the SModelS v2 series is an extended topology description with a flexible
Externí odkaz:
http://arxiv.org/abs/2112.00769