Browsing by Author "Hajdu, G."
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- ItemA machine learned classifier for RR Lyrae in the VVV survey(2016) Elorrieta López, Felipe; Eyheramendy Duerr, Susana; Jordán Colzani, Andrés Cristóbal; Dekany, Istvan; Catelan, Márcio; Angeloni, Rodolfo; Alonso, J.; Contreras, R.; Gran, F.; Hajdu, G.; Espinoza, N.; Saito, R.; Minniti, D.
- ItemAn UXor among FUors: Extinction-related Brightness Variations of the Young Eruptive Star V582 Aur(2018) Abraham, P.; Kospal, A.; Kun, M.; Feher, O.; Zsidi, G.; Acosta-Pulido, J. A.; Carnerero, M. I.; Garcia-Alvarez, D.; Moor, A.; Cseh, B.; Hajdu, G.; Hanyecz, O.; Kelemen, J.; Kriskovics, L.; Marton, G.; Mezo, Gy.; Molnar, L.; Ordasi, A.; R
- ItemBlazhko modulation in the infrared(2018) Jurcsik, J.; Hajdu, G.; Dekany, Istvan; Nuspl, J.; Catelan, Márcio; Grebel, E. K.
- ItemDiscovery of a pair of classical cepheids in an invisible cluster beyond the galactic bulge(2015) Dekany, Istvan; Minniti, D.; Hajdu, G.; Alonso-Garcia, J.; Hempel, Maren; Palma, T.; Catelan, Márcio; Gieren Waiblinger, Wolfgang Paul; Majaess, D.
- ItemMilky Way metallicity gradient from Gaia DR2 F/1O double-mode Cepheids(2018) Lemasle, B.; Hajdu, G.; Kovtyukh, V.; Inno, L.; Grebel, E. K.; Catelan, Márcio; Bono, G.; François, P.; Kniazev, A.; da Silva, R.; Storm, J.
- ItemNear-Field Cosmology with RR Lyrae Variable Stars: a first view of substructure in the southern sky(2016) Navarrete, C.; Duffau, S.; Vivas, A. K.; Catelan, Márcio; Hajdu, G.; Torrealba, G.; Cortés, C.; Belokurov, V.; Koposov, S.; Drake, A. J.We present the current status of the spectroscopic follow-up of a large number of RR Lyrae (RRL) halo overdensity candidates recently found by Torrealba et al. (2015) using southern-hemisphere data from the Catalina Real-time Transient Survey (CRTS). Characterizing the individual RRL stars in these overdensities is crucial to confirm them as real halo substructures. Low-resolution spectra have been obtained for RRL stars in 11 different overdensities, using the SOAR and Magellan telescopes. Radial velocities and metallicities have been derived so far for 123 and 99 RRL stars, respectively....
- ItemNew galactic multi-mode cepheids from the ASAS-SN survey(2018) Jurcsik, J.; Hajdu, G.; Catelan, Márcio
- ItemPeriod change rates of Large Magellanic Cloud Cepheids using mesa(2022) Espinoza-Arancibia, F.; Catelan, Márcio; Hajdu, G.; Rodríguez-Segovia, N.; Boggiano, G.; Joachimi, K.; Muñoz-López, C.; Órdenes-Huanca, C.; Orquera-Rojas, C.; Torres, P.; Valenzuela-Navarro, Á.
- ItemPeriod-change rates in Large Magellanic Cloud Cepheids revisited(2021) Rodríguez-Segovia, N.; Hajdu, G.; Catelan, Márcio; Espinoza-Arancibia, F.; Boggiano, G.; Cenzano, C.; Garcés, E. H.; Joachimi, K.; Muñoz-López, C.; Órdenes-Huanca, C.; Orquera-Rojas, C.; Torres, P.; Valenzuela-Navarro, Á.
- ItemThe VVV Templates Project(2014) Contreras Ramos, R.; Catelan, Marcio; Gran, F.; Navarrete, C.; Angeloni, R.; Alonso-García, J.; Dékány, I.; Hajdu, G.; Hempel, M.; Jordán, A.; Townsend, B.; Borissova, J.; Navarro, C.; Pichara, K.; Eyheramendy, S.Until now, stellar variability in the near-IR has been a relatively ill-explored research field. In particular, the number of high-quality light curves is very limited and, even worse, many variability classes have not yet been observed in a sufficiently extensive way in the near-IR, so that good light curves are entirely lacking for some such classes. Since VVV is the first ever large survey dedicated to stellar variability in the near-infrared, the first problem we had to face has thus been the construction of a proper statistically significant database of high-quality (i.e., template) near-IR light curves for a significant sample of stars taken to be representative of the different variability classes under study. The main purpose of the VVV Templates Project is thus to build a large database of well-defined, high-quality, near-IR light curves for variable stars of different types, which will form the basis of the VVV automated classification algorithms...
- ItemThe VVV Templates Project Towards an automated classification of VVV light-curves I. Building a database of stellar variability in the near-infrared(2014) Angeloni, Rodolfo; Contreras, R.; Catelan, Márcio; Dekany, Istvan; Gran Merino, Felipe Eduardo; Alonso García, J.; Hempel, Maren; Navarrete Silva, Camila Andrea; Andrews, H.; Beamin, J.; Berger Silva, Christian; Espinoza, N.; Eyheramendy Duerr, Susana; Hajdu, G.; Hempel, A.; Ita, Y.; Jordán Colzani, Andrés Cristóbal; Minniti, D.; Townsend, B.