Zobrazeno 1 - 10
of 1 019
pro vyhledávání: '"P. Aleo"'
Autor:
Voloshina, A. S., Lavrukhina, A. D., Pruzhinskaya, M. V., Malanchev, K. L., Ishida, E. E. O., Krushinsky, V. V., Aleo, P. D., Gangler, E., Kornilov, M. V., Korolev, V. S., Russeil, E., Semenikhin, T. A., Sreejith, S., Volnova, A. A.
In this paper, we explore the possibility of detecting M-dwarf flares using data from the Zwicky Transient Facility data releases (ZTF DRs). We employ two different approaches: the traditional method of parametric fit search and a machine learning al
Externí odkaz:
http://arxiv.org/abs/2404.07812
Autor:
Aleo, P. D., Engel, A. W., Narayan, G., Angus, C. R., Malanchev, K., Auchettl, K., Baldassare, V. F., Berres, A., de Boer, T. J. L., Boyd, B. M., Chambers, K. C., Davis, K. W., Esquivel, N., Farias, D., Foley, R. J., Gagliano, A., Gall, C., Gao, H., Gomez, S., Grayling, M., Jones, D. O., Lin, C. -C., Magnier, E. A., Mandel, K. S., Matheson, T., Raimundo, S. I., Shah, V. G., Soraisam, M. D., de Soto, K. M., Vicencio, S., Villar, V. A., Wainscoat, R. J.
We present LAISS (Lightcurve Anomaly Identification and Similarity Search), an automated pipeline to detect anomalous astrophysical transients in real-time data streams. We deploy our anomaly detection model on the nightly ZTF Alert Stream via the AN
Externí odkaz:
http://arxiv.org/abs/2404.01235
Autor:
Russeil, E., Malanchev, K. L., Aleo, P. D., Ishida, E. E. O., Pruzhinskaya, M. V., Gangler, E., Lavrukhina, A. D., Volnova, A. A., Voloshina, A., Semenikhin, T., Sreejith, S., Kornilov, M. V., Korolev, V. S.
We present Rainbow, a physically motivated framework which enables simultaneous multi-band light curve fitting. It allows the user to construct a 2-dimensional continuous surface across wavelength and time, even in situations where the number of obse
Externí odkaz:
http://arxiv.org/abs/2310.02916
The next generation of wide-field deep astronomical surveys will deliver unprecedented amounts of images through the 2020s and beyond. As both the sensitivity and depth of observations increase, more blended sources will be detected. This reality can
Externí odkaz:
http://arxiv.org/abs/2307.05826
Autor:
Gagliano, Alexander, Contardo, Gabriella, Foreman-Mackey, Daniel, Malz, Alex I., Aleo, Patrick D.
Substantial effort has been devoted to the characterization of transient phenomena from photometric information. Automated approaches to this problem have taken advantage of complete phase-coverage of an event, limiting their use for triggering rapid
Externí odkaz:
http://arxiv.org/abs/2305.08894
Autor:
Coulter, D. A., Jones, D. O., McGill, P., Foley, R. J., Aleo, P. D., Bustamante-Rosell, M. J., Chatterjee, D., Davis, K. W., Dickinson, C., Engel, A., Gagliano, A., Jacobson-Galán, W. V., Kilpatrick, C. D., Kutcka, J., Saux, X. K. Le, Pan, Y. -C., Quiñonez, P. J., Rojas-Bravo, C., Siebert, M. R., Taggart, K., Tinyanont, S., Wang, Q.
The modern study of astrophysical transients has been transformed by an exponentially growing volume of data. Within the last decade, the transient discovery rate has increased by a factor of ~20, with associated survey data, archival data, and metad
Externí odkaz:
http://arxiv.org/abs/2303.02154
Autor:
C Pérez-Ingidua, AB Rivas-Paterna, C González-Perrino, E Aleo-Luján, A Ascaso-del-Rio, L Laredo-Velasco, A Portolés-Pérez, E Vargas-Castrillón
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Paediatric patients are especially prone to experiencing adverse drug reactions (ADRs), and the surgical environment gathers many conditions for such reactions to occur. Additionally, little information exists in the literature on
Externí odkaz:
https://doaj.org/article/bb3b6c086acc40258ae2b77b99167854
Autor:
Aleo, P. D., Malanchev, K., Sharief, S., Jones, D. O., Narayan, G., Foley, R. J., Villar, V. A., Angus, C. R., Baldassare, V. F., Bustamante-Rosell, M. J., Chatterjee, D., Cold, C., Coulter, D. A., Davis, K. W., Dhawan, S., Drout, M. R., Engel, A., French, K. D., Gagliano, A., Gall, C., Hjorth, J., Huber, M. E., Jacobson-Galán, W. V., Kilpatrick, C. D., Langeroodi, D., Mandel, K. S., Margutti, R., Matasić, F., McGill, P., Pierel, J. D. R., Ramirez-Ruiz, E., Ransome, C. L., Rojas-Bravo, C., Siebert, M. R., Smith, K. W., de Soto, K. M., Stroh, M. C., Tinyanont, S., Taggart, K., Ward, S. M., Wojtak, R., Auchettl, K., Blanchard, P. K., de Boer, T. J. L., Boyd, B. M., Carroll, C. M., Chambers, K. C., DeMarchi, L., Dimitriadis, G., Dodd, S. A., Earl, N., Farias, D., Gao, H., Gomez, S., Grayling, M., Grillo, C., Hayes, E. E., Hung, T., Izzo, L., Khetan, N., Law-Smith, J. A. P., LeBaron, N., Lin, C. -C., Luo, Y., Magnier, E. A., Matthews, D., O'Grady, A. J. G., Pan, Y. -C., Politsch, C. A., Raimundo, S. I., Rest, A., Ridden-Harper, R., Sarangi, A., Smartt, S. J., Terreran, G., Thorp, S., Vazquez, J., Wainscoat, R. J., Wang, Q., Wasserman, A. R., Yadavalli, S. K., Yarza, R., Zenati, Y.
We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multi-color Pan-STARRS1 (PS1) griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host-galaxy associations, redshifts, spectroscopic
Externí odkaz:
http://arxiv.org/abs/2211.07128
Autor:
Malanchev, Konstantin, Kornilov, Matwey V., Pruzhinskaya, Maria V., Ishida, Emille E. O., Aleo, Patrick D., Korolev, Vladimir S., Lavrukhina, Anastasia, Russeil, Etienne, Sreejith, Sreevarsha, Volnova, Alina A., Voloshina, Anastasiya, Krone-Martins, Alberto
We describe the SNAD Viewer, a web portal for astronomers which presents a centralized view of individual objects from the Zwicky Transient Facility's (ZTF) data releases, including data gathered from multiple publicly available astronomical archives
Externí odkaz:
http://arxiv.org/abs/2211.07605
Autor:
Pruzhinskaya, Maria V., Ishida, Emille E. O., Novinskaya, Alexandra K., Russeil, Etienne, Volnova, Alina A., Malanchev, Konstantin L., Kornilov, Matwey V., Aleo, Patrick D., Korolev, Vladimir S., Krushinsky, Vadim V., Sreejith, Sreevarsha, Gangler, Emmanuel
Publikováno v:
A&A 672, A111 (2023)
We provide the first results from the complete SNAD adaptive learning pipeline in the context of a broad scope of data from large-scale astronomical surveys. The main goal of this work is to explore the potential of adaptive learning techniques in ap
Externí odkaz:
http://arxiv.org/abs/2208.09053