Zobrazeno 1 - 10
of 11 907
pro vyhledávání: '"A O'Dea"'
Autor:
L McClenachan, T Rick, RH Thurstan, A Trant, PS Alagona, HK Alleway, C Armstrong, R Bliege Bird, NT Rubio-Cisneros, M Clavero, AC Colonese, K Cramer, AO Davis, J Drew, MM Early-Capistrán, G Gil-Romera, M Grace, MBA Hatch, E Higgs, K Hoffman, JBC Jackson, A Jerardino, MJ LeFebvre, HK Lotze, RS Mohammed, N Morueta-Holme, C Munteanu, AM Mychajliw, B Newsom, A O’Dea, D Pauly, P Szabó, J Torres, J Waldman, C West, L Xu, H Yasuoka, PSE zu Ermgassen, KS Van Houtan
Publikováno v:
Endangered Species Research, Vol 54, Pp 285-310 (2024)
Historical ecology draws on a broad range of information sources and methods to provide insight into ecological and social change, especially over the past ∼12000 yr. While its results are often relevant to conservation and restoration, insights fr
Externí odkaz:
https://doaj.org/article/1a6a94dcabfe49059bc0e8c5d0582aad
Autor:
O'Dea, Nicholas, Sriram, Adithya
Quantum scars are nonthermal eigenstates that prevent thermalization of initial states with weight on the scars. When the scar states are equally spaced in energy, superpositions of scars show oscillating local observables that can be detected in exp
Externí odkaz:
http://arxiv.org/abs/2410.11822
The performance of quantum error correcting (QEC) codes are often studied under the assumption of spatio-temporally uniform error rates. On the other hand, experimental implementations almost always produce heterogeneous error rates, in either space
Externí odkaz:
http://arxiv.org/abs/2409.03325
We introduce a family of classical stochastic processes describing diffusive particles undergoing branching and long-range annihilation in the presence of a parity constraint. The probability for a pair-annihilation event decays as a power-law in the
Externí odkaz:
http://arxiv.org/abs/2409.03280
Autor:
Kiehlmann, Sebastian, De La Parra, Philipe Vergara, Sullivan, Andrew, Synani, A., Liodakis, Ioannis, Readhead, Anthony, Graham, Matthew, Begelman, Mitchell, Blandford, Roger, Chatziioannou, Katerina, Ding, Yuanze, Harrison, Fiona, Homan, D., Hovatta, Talvikki, Kulkarni, Shrinivas, Lister, Matthew, Maiolino, Roberto, Max-Moerbeck, Walter, Molina, B., Mroz, Przemyslaw, O'Dea, Christopher, Pavlidou, Vasiliki, Pearson, Timothy J., Aller, Margo, Lawrence, C., Lazio, T. Joseph, O'Neill, S., Prince, Thomas, Ravi, Vikram, Reeves, Rodrigo, Tassis, Konstantinos, Vallisneri, Michele, Zensus, J.
Haystack and Owens Valley Radio Observatory (OVRO) observations recently revealed strong sinusoidal total flux density variations that maintained coherence between 1975 and 2021 in the blazar PKS 2131-021 ($z=1.283)$. This was interpreted as possible
Externí odkaz:
http://arxiv.org/abs/2407.09647
Autor:
Stanghellini, C., Orienti, M., Spingola, C., Zanichelli, A., Dallacasa, D., Cassaro, P., O'Dea, C. P., Baum, S. A., Pérez-Torres, M.
The long-standing question concerning Jetted Sub-Galactic Size (JSS) radio sources is whether they will evolve into large radio galaxies, die before escaping the host galaxy, or remain indefinitely confined to their compact size. Our main goal is to
Externí odkaz:
http://arxiv.org/abs/2407.02029
Topologically-ordered phases are stable to local perturbations, and topological quantum error-correcting codes enjoy thresholds to local errors. We connect the two notions of stability by constructing classical statistical mechanics models for decodi
Externí odkaz:
http://arxiv.org/abs/2406.15757
Autor:
O'Dea, Nicholas
Level statistics are a useful probe for detecting symmetries and distinguishing integrable and non-integrable systems. I show by way of several examples that level statistics detect the presence of generalized symmetries that go beyond conventional l
Externí odkaz:
http://arxiv.org/abs/2406.03983
Autor:
Vantyghem, A. N., Galvin, T. J., Sebastian, B., O'Dea, C. P., Gordon, Y. A., Boyce, M., Rudnick, L., Polsterer, K., Andernach, Heinz, Dionyssiou, M., Venkataraman, P., Norris, R., Baum, S. A., Wang, X. R., Huynh, M.
Modern wide field radio surveys typically detect millions of objects. Techniques based on machine learning are proving to be useful for classifying large numbers of objects. The self-organizing map (SOM) is an unsupervised machine learning algorithm
Externí odkaz:
http://arxiv.org/abs/2404.10109
Autor:
Sebastian, Biny, Caproni, Anderson, Kharb, Preeti, Nayana, A. J., Ali, Arshi, Rubinur, K., O'Dea, Christopher P., Baum, Stefi, Nandi, Sumana
Identifying methods to discover dual AGN has proven to be challenging. Several indirect tracers have been explored in the literature, including X/S-shaped radio morphologies and double-peaked (DP) emission lines in the optical spectra. However, the d
Externí odkaz:
http://arxiv.org/abs/2402.12521