Edgar Carrera Jarrin

The Pixel Luminosity Telescope is a silicon pixel detector dedicated to luminosity measurement at the CMS experiment at the LHC. It is located approximately 1.75 m from the interaction point and arranged into 16 "telescopes", with eight telescopes installed around the beam pipe at either end of the detector and each telescope composed of three individual silicon sensor planes. The per-bunch instantaneous luminosity is measured by counting events where all three planes in the telescope register a hit, using a special readout at the full LHC bunch-crossing rate of 40 MHz. The full pixel information is read out at a lower rate and can be used to determine calibrations, corrections, and systematic uncertainties for the online and offline measurements. This paper details the commissioning, operational history, and performance of the detector during Run 2 (2015-18) of the LHC, as well as preparations for Run 3, which will begin in 2022.

The CMS experiment at CERN has released research-quality data from particle collisions at the LHC since 2014. Almost all data from the first LHC run in 2010–2012 with the corresponding simulated samples are now in the public domain, and several scientific studies have been performed using these data. This paper summarizes the available data and tools, reviews the challenges in using them in research, and discusses measures to improve their usability.

This article presents a comprehensive investigation into the effectiveness of supervised deep learning techniques for classifying the outcome of high-energy particle collisions using CMS Open Data. The research primarily focuses on the conversion of particle and jet position and momentum information into images, followed by the application of convolutional neural networks (CNNs) to classify various particle processes. Two distinct scenarios are considered. The first scenario involves classifying images for processes that generate a known resonance with invariant masses at different energy ranges. The second scenario focuses on identifying signal and background processes with similar final states. Furthermore, alternative CNN architectures are evaluated based on their performance metrics within each scenario. The trained neural network models with the best performance metrics are subsequently employed for classifying real collision data.

a Space Weather Laboratory was deployed at Marambio base in the Antarctic Peninsula.The main instrument installed was a cosmic ray detector based on water Cherenkov radiation.This detector is the first permanent Antarctic node of LAGO Collaboration (Latin American Giant Observatory).LAGO Project is an extended Astroparticle Observatory and it is mainly oriented to basic research in three branches of Astroparticle physics: the Extreme Universe, Space Weather phenomena, and Atmospheric Radiation at ground level.LAGO Space Weather program is directed towards the study of how the variations of the flux of secondary cosmic rays at ground level are linked with the heliospheric and geomagnetic modulations.Observations made during 2019 and 2020 are presented here.We analyze the effect of barometric pressure and local temperature in the count rate.The corrected count rate observed with the water Cherenkov detector is compared with observations of Oulu neutron monitor which has similar rigidity cut-off than the Marambio site.

Atmospheric conditions affect the development of cascades of secondary particles produced by primary cosmic rays.Global Data Assimilation System, implementing atmospheric models based on meteorological measurements and numerical weather predictions, could significantly improve the outcomes of the simulations for extensive air showers.In this work, we present a methodology to simulate the effect of the atmospheric models in secondary particle flux at the Earth's surface.The method was implemented for Bucaramanga-Colombia, using ARTI: a complete computational framework developed by the Latin American Giant Observatory Collaboration to estimate the particle spectra on Water Cherenkov Detectors depending on the geographical coordinates.We observe differences in the total flux that varies monthly concerning the subtropical summer atmospheric profile as preliminary results.

Solar activity was intense in September 2017 and its effects were observed in different detectors placed at the Earth's surface. Three halo Coronal Mass Ejections (CME) hit the planet and caused magnetic storms. The effects of the CMEs on the flux of galactic cosmic rays at ground level were observed by the Tanca detector, which is one of the water-Cherenkov detectors (WCD) that make up the Latin American Giant Observatory (LAGO). In this paper we present the detection of Forbush events observed by Tanca during the month of September 2017. This WCD is installed on the campus of the University of Campinas, in Brazil, having three photomultiplier tubes that detect Cherenkov photons produced by cosmic radiation in 11400 liters of ultra pure water. We present the description and performance of the experimental apparatus and the observation on days 6$^{\textrm{th}}$, 8$^{\textrm{th}}$ and 13$^{\textrm{th}}$ of the Forbush events originated by the CMEs. A decrease in the cosmic rays flux due to a stream inTeraction region was also observed on 14$^{\rm{th}}$ September. These results were compared with observations made by neutron monitors and indices of the Earth’s magnetic activity.