Indicadores de rendimiento en los Grand Slams de tenis

The objective of this research is to characterize the differences in performance indicators of Grand Slam tennis, in order to identify those technical and tactical behaviors that are more effective in real life playing situations. It is a descriptive and observational study, with a quantitative methodology. The sample was composed of 338 matches, of the absolute individual male category in the 2018 season of three Grand Slam tournaments (Roland Garros, Wimbledon and US Open). The differences in performance indicators in various situational variables (type of tournament, match result, match status and difference between sets) were analyzed through descriptive and inferential analysis. The results showed that there are significant performance indicators and differences in the analyzed tournaments in terms of tournament type, match result, match status and to a lesser extent in the difference between sets. We concluded that performance indicators are specific to each tournament or playing surface, that the importance of taking the initiative is fundamental to winning in tennis and that the form of play does not vary as the match progresses. These findings are of great interest, as they condition their setting for each tournament and the play of the players, establishing different competition strategies. El objetivo de la presente investigación trata de caracterizar las diferencias que se dan en indicadores de rendimiento de los Grand Slams de tenis, con el fin de identificar aquellas conductas técnicas y tácticas que resulten más eficaces en situaciones reales de juego. Se trata de un estudio descriptivo y observacional, de metodología cuantitativa. La muestra estuvo compuesta por 338 partidos, de la categoría individual absoluta masculina en la temporada 2018 de tres torneos Grand Slam (Roland Garros, Wimbledon y Open EEUU). Para ello, se analizaron las diferencias de en los indicadores de rendimiento en diversas variables situacionales (tipo de torneo, resultado del partido, match status y diferencia entre sets) a través de análisis descriptivos e inferenciales. Los resultados mostraron que existen indicadores de rendimiento y diferencias significativas en los torneos analizados en cuanto al tipo de torneo, resultado del partido, match status y en menor medida en la diferencia entre sets. Concluyendo que los indicadores de rendimiento son propios de cada torneo o superficie de juego, que la importancia de llevar la iniciativa es fundamental para ganar en tenis y que la forma de juego no varía según va transcurriendo el partido. Estos hallazgos resultan de gran interés, pues condicionan su puesta a punto para cada torneo y el juego de los tenistas, estableciéndose diferentes estrategias de competición.&nbsp

Chasing Gravitational Waves with the Chereknov Telescope Array

Presented at the 38th International Cosmic Ray Conference (ICRC 2023), 2023 (arXiv:2309.08219)2310.07413International audienceThe detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this gravitational wave event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-high-energy (VHE, > 100GeV) photons which have yet to be detected in coincidence with a gravitational wave signal. The Cherenkov Telescope Array (CTA) is a next-generation VHE observatory which aims to be indispensable in this search, with an unparalleled sensitivity and ability to slew anywhere on the sky within a few tens of seconds. New observing modes and follow-up strategies are being developed for CTA to rapidly cover localization areas of gravitational wave events that are typically larger than the CTA field of view. This work will evaluate and provide estimations on the expected number of of gravitational wave events that will be observable with CTA, considering both on- and off-axis emission. In addition, we will present and discuss the prospects of potential follow-up strategies with CTA

Chasing Gravitational Waves with the Chereknov Telescope Array

Presented at the 38th International Cosmic Ray Conference (ICRC 2023), 2023 (arXiv:2309.08219)2310.07413International audienceThe detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this gravitational wave event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-high-energy (VHE, > 100GeV) photons which have yet to be detected in coincidence with a gravitational wave signal. The Cherenkov Telescope Array (CTA) is a next-generation VHE observatory which aims to be indispensable in this search, with an unparalleled sensitivity and ability to slew anywhere on the sky within a few tens of seconds. New observing modes and follow-up strategies are being developed for CTA to rapidly cover localization areas of gravitational wave events that are typically larger than the CTA field of view. This work will evaluate and provide estimations on the expected number of of gravitational wave events that will be observable with CTA, considering both on- and off-axis emission. In addition, we will present and discuss the prospects of potential follow-up strategies with CTA

Chasing Gravitational Waves with the Chereknov Telescope Array

Presented at the 38th International Cosmic Ray Conference (ICRC 2023), 2023 (arXiv:2309.08219)2310.07413International audienceThe detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this gravitational wave event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-high-energy (VHE, > 100GeV) photons which have yet to be detected in coincidence with a gravitational wave signal. The Cherenkov Telescope Array (CTA) is a next-generation VHE observatory which aims to be indispensable in this search, with an unparalleled sensitivity and ability to slew anywhere on the sky within a few tens of seconds. New observing modes and follow-up strategies are being developed for CTA to rapidly cover localization areas of gravitational wave events that are typically larger than the CTA field of view. This work will evaluate and provide estimations on the expected number of of gravitational wave events that will be observable with CTA, considering both on- and off-axis emission. In addition, we will present and discuss the prospects of potential follow-up strategies with CTA

Performance of a proposed event-type based analysis for the Cherenkov Telescope Array

The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs). An alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. In this approach, events are divided into sub-samples based on their reconstruction quality, and a set of IRFs is calculated for each sub-sample. The sub-samples are then combined in a joint analysis, treating them as independent observations. This leads to an improvement in performance parameters such as sensitivity, angular and energy resolution. Data loss is reduced since lower quality events are included in the analysis as well, rather than discarded. In this study, machine learning methods will be used to classify events according to their expected angular reconstruction quality. We will report the impact on CTA high-level performance when applying such an event-type classification, compared to the classical procedure