Browsing by Author "Roman, J."

Now showing 1 - 5 of 5
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    Evaluación de la técnica Xpert® MTB/RIF para la detección de Mycobacterium tuberculosis complex en muestras extra-pulmonares
    (2017) García Cañete, Patricia; Balcells Marty, María Elvira; Castillo, C.; Miranda, C.; Geoffroy, E.; Roman, J.; Wozniak Banchero, Aniela
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    Evaluación de un sistema automatizado de siembra de orinas para urocultivos
    (2014) Bustamante, V.; Meza, P.; Roman, J.; García Cañete, Patricia
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    Impacto de una técnica automatizada rápida en la identificación de SAMR/ERV en pacientes trasladados desde otros centros hospitalarios
    (2013) Rojas González, Álvaro Miguel; Potin Santander, Marcela Patricia; Coria, C.; Roman, J.; García Cañete, Patricia
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    Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images
    (2022) Martin, G.; Bazkiaei, A. E.; Spavone, M.; Iodice, E.; Mihos, J. C.; Montes, M.; Benavides, J. A.; Brough, S.; Carlin, J. L.; Collins, C. A.; Duc, P. A.; Gomez, F. A.; Galaz, G.; Hernandez-Toledo, H. M.; Jackson, R. A.; Kaviraj, S.; Knapen, J. H.; Martinez-Lombilla, C.; McGee, S.; O'Ryan, D.; Prole, D. J.; Rich, R. M.; Roman, J.; Shah, E. A.; Starkenburg, T. K.; Watkins, A. E.; Zaritsky, D.; Pichon, C.; Armus, L.; Bianconi, M.; Buitrago, F.; Busa, I; Davis, F.; Demarco, R.; Desmons, A.; Garcia, P.; Graham, A. W.; Holwerda, B.; Hon, D. S-H; Khalid, A.; Klehammer, J.; Klutse, D. Y.; Lazar, I; Nair, P.; Noakes-Kettel, E. A.; Rutkowski, M.; Saha, K.; Sahu, N.; Sola, E.; Vazquez-Mata, J. A.; Vera-Casanova, A.; Yoon, I
    Tidal features in the outskirts of galaxies yield unique information about their past interactions and are a key prediction of the hierarchical structure formation paradigm. The Vera C. Rubin Observatory is poised to deliver deep observations for potentially millions of objects with visible tidal features, but the inference of galaxy interaction histories from such features is not straightforward. Utilizing automated techniques and human visual classification in conjunction with realistic mock images produced using the NewHorizon cosmological simulation, we investigate the nature, frequency, and visibility of tidal features and debris across a range of environments and stellar masses. In our simulated sample, around 80 per cent of the flux in the tidal features around Milky Way or greater mass galaxies is detected at the 10-yr depth of the Legacy Survey of Space and Time (30-31 mag arcsec(-2)), falling to 60 per cent assuming a shallower final depth of 29.5 mag arcsec(-2). The fraction of total flux found in tidal features increases towards higher masses, rising to 10 per cent for the most massive objects in our sample (M-* similar to 10(11.5) M-circle dot). When observed at sufficient depth, such objects frequently exhibit many distinct tidal features with complex shapes. The interpretation and characterization of such features varies significantly with image depth and object orientation, introducing significant biases in their classification. Assuming the data reduction pipeline is properly optimized, we expect the Rubin Observatory to be capable of recovering much of the flux found in the outskirts of Milky Way mass galaxies, even at intermediate redshifts (z < 0.2).
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    Presencia de Bordetella holmesii en brote epidémico de coqueluche en Chile
    (2013) Miranda, C.; Wozniak Banchero, Aniela; Castillo, C.; Geoffroy, E.; Porte, L.; Roman, J.; Potin Santander, Marcela Patricia; García Cañete, Patricia