Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Canameras, Raoul"'
Autor:
Cañameras, Raoul
Les galaxies amplifiées par lentillage gravitationnel fort offrent une opportunité exceptionnelle pour caractériser la formation stellaire intense au sein des galaxies poussiéreuses les plus distantes. Dans les cas les plus favorables, il est pos
Externí odkaz:
http://www.theses.fr/2016SACLS237/document
Autor:
He, Zizhao, Li, Rui, Shu, Yiping, Tortora, Crescenzo, Er, Xinzhong, Canameras, Raoul, Schuldt, Stefan, Napolitano, Nicola R., N, Bharath Chowdhary, Chen, Qihang, Li, Nan, Feng, Haicheng, Deng, Limeng, Li, Guoliang, Koopmans, L. V. E., Dvornik, Andrej
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, thousands of SL-QSO systems can be discovered expectedly, leading to unp
Externí odkaz:
http://arxiv.org/abs/2409.17471
Autor:
Schuldt, Stefan, Canameras, Raoul, Andika, Irham T., Bag, Satadru, Melo, Alejandra, Shu, Yiping, Suyu, Sherry H., Taubenberger, Stefan, Grillo, Claudio
We have performed a systematic search for galaxy-scale strong lenses using Hyper Suprime-Cam imaging data, focusing on lenses in overdense environments. To identify these lens candidates, we exploit our neural network from HOLISMOKES VI, which is tra
Externí odkaz:
http://arxiv.org/abs/2405.20383
Autor:
More, Anupreeta, Canameras, Raoul, Jaelani, Anton T., Shu, Yiping, Ishida, Yuichiro, Wong, Kenneth C., Inoue, Kaiki Taro, Schuldt, Stefan, Sonnenfeld, Alessandro
Efficient algorithms are being developed to search for strong gravitational lens systems owing to increasing large imaging surveys. Neural networks have been successfully used to discover galaxy-scale lens systems in imaging surveys such as the Kilo
Externí odkaz:
http://arxiv.org/abs/2405.12975
Autor:
Bag, Satadru, Huber, Simon, Suyu, Sherry H., Arendse, Nikki, Andika, Irham Taufik, Canameras, Raoul, Kim, Alex, Linder, Eric, Lodha, Kushal, Melo, Alejandra, More, Anupreeta, Schuldt, Stefan, Shafieloo, Arman
Strong-gravitationally lensed supernovae (LSNe) are promising probes for providing absolute distance measurements using gravitational lens time delays. Spatially unresolved LSNe offer an opportunity to enhance the sample size for precision cosmology.
Externí odkaz:
http://arxiv.org/abs/2404.15389
Autor:
Jaelani, Anton T., More, Anupreeta, Wong, Kenneth C., Inoue, Kaiki T., Chao, Dani C. -Y., Premadi, Premana W., Cañameras, Raoul
We apply a novel model based on convolutional neural networks (CNNs) to identify gravitationally-lensed galaxies in multi-band imaging of the Hyper Suprime Cam Subaru Strategic Program (HSC-SSP) Survey. The trained model is applied to a parent sample
Externí odkaz:
http://arxiv.org/abs/2312.07333
Autor:
Holloway, Philip, Marshall, Philip J., Verma, Aprajita, More, Anupreeta, Cañameras, Raoul, Jaelani, Anton T., Ishida, Yuichiro, Wong, Kenneth C.
The arrival of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), Euclid-Wide and Roman wide area sensitive surveys will herald a new era in strong lens science in which the number of strong lenses known is expected to rise from
Externí odkaz:
http://arxiv.org/abs/2311.07455
Autor:
Lemon, Cameron, Courbin, Frédéric, More, Anupreeta, Schechter, Paul, Cañameras, Raoul, Delchambre, Ludovic, Leung, Calvin, Shu, Yiping, Spiniello, Chiara, Hezaveh, Yashar, Klüter, Jonas, McMahon, Richard
Strong gravitational lenses provide unique laboratories for cosmological and astrophysical investigations, but they must first be discovered - a task that can be met with significant contamination by other astrophysical objects and asterisms. Here we
Externí odkaz:
http://arxiv.org/abs/2310.13466
Autor:
Andika, Irham Taufik, Suyu, Sherry H., Cañameras, Raoul, Melo, Alejandra, Schuldt, Stefan, Shu, Yiping, Eilers, Anna-Christina, Jaelani, Anton Timur, Yue, Minghao
Publikováno v:
A&A 678, A103 (2023)
Quasars experiencing strong lensing offer unique viewpoints on subjects related to the cosmic expansion rate, the dark matter profile within the foreground deflectors, and the quasar host galaxies. Unfortunately, identifying them in astronomical imag
Externí odkaz:
http://arxiv.org/abs/2307.01090
Autor:
Rojas, Karina, Collett, Thomas E., Ballard, Daniel, Magee, Mark R., Birrer, Simon, Buckley-Geer., Elizabeth, Chan, James H. H., Clément, Benjamin, Diego, José M., Gentile, Fabrizio, González, Jimena, Joseph, Rémy, Mastache, Jorge, Schuldt, Stefan, Tortora, Crescenzo, Verdugo, Tomás, Verma, Aprajita, Daylan, Tansu, Millon, Martin, Jackson, Neal, Dye, Simon, Melo, Alejandra, Mahler, Guillaume, Ogando, Ricardo L. C., Courbin, Frédéric, Fritz, Alexander, Herle, Aniruddh, Barroso, Javier A. Acevedo, Cañameras, Raoul, Cornen, Claude, Dhanasingham, Birendra, Glazebrook, Karl, Martinez, Michael N., Ryczanowski, Dan, Savary, Elodie, Góis-Silva, Filipe, Ureña-López, L. Arturo, Wiesner, Matthew P., Wilde, Joshua, Calçada, Gabriel Valim, Cabanac, Rémi, Pan, Yue, Sierra, Isaac, Despali, Giulia, Cavalcante-Gomes, Micaele V., Macmillan, Christine, Maresca, Jacob, Grudskaia, Aleksandra, O'Donnell, Jackson H., Paic, Eric, Niemiec, Anna, de la Bella, Lucia F., Bromley, Jane, Williams, Devon M., More, Anupreeta, Levine, Benjamin C.
We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25$\%$ of the project. During the classification
Externí odkaz:
http://arxiv.org/abs/2301.03670