Miguel Crispim Romão
Miguel Crispim Romão
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BSMArt 2: simpler and faster parameter space scans
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Fernando Abreu de Souza
,
Nuno Filipe Castro
,
Miguel Crispim Romão
,
Mark D. Goodsell
,
Farid Ibrahimov
,
Werner Porod
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arXiv
Toward decision-aware AI for LSST-scale time-domain astronomy
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C. R. Bom
,
others
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arXiv
Two Flavon Froggatt-Nielsen Models with Genetic Algorithms
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Miguel Crispim Romão
,
Stephen F. King
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arXiv
Machine Learning insights on the Z3 3HDM with Dark Matter
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Fernando Abreu de Souza
,
Rafael Boto
,
Miguel Crispim Romão
,
Pedro N. de Figueiredo
,
Jorge C. Romão
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arXiv
Quantifying vacuum-like jets in heavy-ion collisions: a machine learning study
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Miguel Crispim Romão
,
João Arruda Gonçalves
,
Jose Guilherme Milhano
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DOI
arXiv
Sensitivity to new physics phenomena in anomaly detection: A study of untunable hyperparameters
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Fernando Abreu de Souza
,
Maura Barros
,
Nuno F. Castro
,
Miguel Crispim Romão
,
Céu Neiva
,
Rute Pedro
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DOI
arXiv
Symbolic Regression and Differentiable Fits in Beyond the Standard Model Physics
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Shehu AbdusSalam
,
Steven Abel
,
Deaglan Bartlett
,
Miguel Crispim Romão
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DOI
arXiv
Anomaly detection to identify transients in LSST time series data
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Miguel Crispim Romão
,
Djuna Croon
,
Daniel Godines
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DOI
arXiv
Dark classification matters: searching for primordial black holes with LSST
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Miguel Crispim Romão
,
Djuna Croon
,
Benedict Crossey
,
Daniel Godines
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DOI
arXiv
Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms
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Fernando Abreu de Souza
,
Nuno Filipe Castro
,
Miguel Crispim Romão
,
Werner Porod
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DOI
arXiv
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