Cristian Peña

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CONTEXT Refugee survivors of torture in the United Kingdom have multiple problems, of which pain may be underrecognized, given the high prevalence recorded in similar populations in Denmark. OBJECTIVES To establish in a UK sample the prevalence of persistent pain and to investigate associations between specific pains and torture methods. METHODS A(More)
Current and future high energy physics particle colliders are capable to provide instantaneous luminosities of 1034 cm-2s-1 and above. The high center of mass energy, the large number of simultaneous collision of beam particles in the experiments and the very high repetition rates of the collision events pose huge challenges. They result in extremely high(More)
Many practical applications are used in set covering problems (SCP), in this research, we used to solve SCP: the binary Fruit Fly Optimization algorithms. This algorithm is divided in four phases: initiation, smell based search local vision based search and global vision based search. The metaheuristic is based by the knowledge from the foraging behavior of(More)
In this paper, we propose a Modified Binary Firefly Algorithm to solve different instances of the Set Covering Problem (SCP). The Set Covering Problem is considered a classic combinatorial optimization problem, belonging to the class NP-hard problem [8] and have many practical applications. In this paper we consider applying Modified Binary Firefly(More)
Particle colliders operating at high luminosities present challenging environments for high energy physics event reconstruction and analysis. We discuss how timing information, with a precision on the order of 10 ps, can aid in the reconstruction of physics events under such conditions. We present calorimeter based timing measurements from test beam(More)
The Phase-II upgrades to the Large Hadron Collider will introduce a variety of new measurement devices to the CMS, including the High-Granularity Calorimeter (HGCAL). The increase in luminosity from these LHC upgrades will also have the undesired side effect of vastly increasing pileup to a level at which the current machine learning vertex selection(More)