8 papers
Topping-up multilepton plus b-jets anomalies at the LHC with a boson
Ezequiel Alvarez, Aurelio Juste, Manuel Szewc +1
During the last years ATLAS and CMS have reported a number of slight to mild discrepancies in signatures of multileptons plus -jets in analyses such as , $t\bar t W^\…
Containing COVID-19 outbreaks using a Firewall
Ezequiel Alvarez, Leandro Da Rold, Federico Lamagna +1
COVID-19 outbreaks have proven to be very difficult to isolate and extinguish before they spread out. An important reason behind this might be that epidemiological barriers consist…
Learning the latent structure of collider events
Barry M. Dillon, Darius A. Faroughy, Jernej F. Kamenik +1
We describe a technique to learn the underlying structure of collider events directly from the data, without having a particular theoretical model in mind. It allows to infer aspec…
A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer
Ezequiel Alvarez, Federico Lamagna, Manuel Szewc
The appearance of a new dangerous and contagious disease requires the development of a drug therapy faster than what is foreseen by usual mechanisms. Many drug therapy developments…
Intelligent Arxiv: Sort daily papers by learning users topics preference
Ezequiel Alvarez, Federico Lamagna, Cesar Miquel +1
Current daily paper releases are becoming increasingly large and areas of research are growing in diversity. This makes it harder for scientists to keep up to date with current sta…
Topic Model for four-top at the LHC
Ezequiel Alvarez, Federico Lamagna, Manuel Szewc
We study the implementation of a Topic Model algorithm in four-top searches at the LHC as a test-probe of a not ideal system for applying this technique. We study this Topic Model…