Zobrazeno 1 - 10
of 1 624
pro vyhledávání: '"R M, Wagner"'
Autor:
Hynes, R. I., Robinson, E. L., Terndrup, D. M., Gandhi, P., Froning, C. S., Starrfield, R. M. Wagner S., Dhillon, V. S., Marsh, T. R.
We present a serendipitous multiwavelength campaign of optical photometry simultaneous with Integral X-ray monitoring of the 2015 outburst of the black hole V404 Cyg. Large amplitude optical variability is generally correlated with X-rays, with lags
Externí odkaz:
http://arxiv.org/abs/1905.00949
Autor:
D. P. K. Banerjee, A. Evans, C. E. Woodward, S. Starrfield, K. Y. L. Su, N. M. Ashok, R. M. Wagner
Publikováno v:
The Astrophysical Journal Letters, Vol 952, Iss 2, p L26 (2023)
V445 Puppis, the only known Galactic helium nova, is a unique test bed to verify supernova (SN) theories in the single-degenerate channel that involve a white dwarf (WD) accreting matter from a helium-rich donor. An estimate of the mass of the helium
Externí odkaz:
https://doaj.org/article/8ecf0f17eafc4e3db7495bee7ef5ec7e
Autor:
Collaboration, H. E. S. S., Abdalla, H., Abramowski, A., Aharonian, F., Benkhali, F. Ait, Andersson, A. G. Akhperjanian T., Arrieta, M., Aubert, P., Backes, M., Balzer, A., Barnard, M., Becherini, Y., Tjus, J. Becker, Bernhard, D. Berge S., Bernlöhr, K., Blackwell, R., Böttcher, M., Boisson, C., Bolmont, J., Bordas, P., Bregeon, J., Brun, F., Brun, P., Bryan, M., Bulik, T., Capasso, M., Casanova, J. Carr S., Cerruti, M., Chakraborty, N., Chalme-Calvet, R., Chaves, R. C. G., Chen, A., Chevalier, J., Chrétien, M., Colafrancesco, S., Cologna, G., Condon, B., Conrad, J., Cui, Y., Davids, I. D., Decock, J., Degrange, B., Deil, C., Devin, J., deWilt, P., Dirson, L., Djannati-Ataï, A., Domainko, W., Donath, A., Drury, L. O'C., Dubus, G., Dutson, K., Dyks, J., Edwards, T., Egberts, K., Eger, P., Ernenwein, J. -P., Eschbach, S., Farnier, C., Fegan, S., Fernandes, M. V., Fiasson, A., Fontaine, G., Förster, A., Funk, S., Füßling, M., Gajdus, S. Gabici M., Gallant, Y. A., Garrigoux, T., Giavitto, G., Giebels, B., Glicenstein, J. F., Gottschall, D., Goyal, A., Grondin, M. -H., Hadasch, D., Hahn, J., Haupt, M., Hawkes, J., Heinzelmann, G., Henri, G., Hermann, G., Hervet, O., Hinton, J. A., Hofmann, W., Hoischen, C., Holler, M., Horns, D., Ivascenko, A., Jacholkowska, A., Jamrozy, M., Janiak, M., Jankowsky, D., Jankowsky, F., Jingo, M., Jogler, T., Jouvin, L., Jung-Richardt, I., Kastendieck, M. A., Katarzyński, K., Katz, U., Kerszberg, D., Khélifi, B., Kieffer, M., King, J., Klepser, S., Klochkov, D., Kluźniak, W., Kolitzus, D., Komin, Nu., Kosack, K., Krakau, S., Kraus, M., Krayzel, F., Krüger, P. P., Laffon, H., Lamanna, G., Lau, J., Lees, J. -P., Lefaucheur, J., Lefranc, V., Lemière, A., Lemoine-Goumard, M., Lenain, J. -P., Leser, E., Lohse, T., Lorentz, M., Liu, R., López-Coto, R., Lypova, I., Marandon, V., Marcowith, A., Mariaud, C., Marx, R., Maurin, G., Maxted, N., Mayer, M., Meintjes, P. J., Meyer, M., Mitchell, A. M. W., Moderski, R., Mohamed, M., Mohrmann, L., Morå, K., Moulin, E., Murach, T., deNaurois, M., Niederwanger, F., Niemiec, J., Oakes, L., O'Brien, P., Odaka, H., Öttl, S., Ohm, S., Ostrowski, M., Oya, I., Padovani, M., Panter, M., Parsons, R. D., Pekeur, N. W., Pelletier, G., Perennes, C., Petrucci, P. -O., Peyaud, B., Pita, Q. Piel S., Poon, H., Prokhorov, D., Prokoph, H., Pühlhofer, G., Punch, M., Quirrenbach, A., Raab, S., Reimer, A., Reimer, O., Renaud, M., delosReyes, R., Rieger, F., Romoli, C., Rosier-Lees, S., Rowell, G., Rudak, B., Rulten, C. B., Sahakian, V., Salek, D., Sanchez, D. A., Santangelo, A., Sasaki, M., Schlickeiser, R., Schüssler, F., Schulz, A., Schwanke, U., Schwemmer, S., Settimo, M., Seyffert, A. S., Shafi, N., Shilon, I., Simoni, R., Sol, H., Spanier, F., Spengler, G., Spies, F., Stawarz, Ł., Steenkamp, R., Stegmann, C., Stinzing, F., Stycz, K., Sushch, I., Tavernet, J. -P., Tavernier, T., Taylor, A. M., Terrier, R., Tibaldo, L., Tiziani, D., Tluczykont, M., Trichard, C., Tuffs, R., Uchiyama, Y., van der Walt, D. J., vanEldik, C., vanRensburg, C., vanSoelen, B., Vasileiadis, G., Veh, J., Venter, C., Viana, A., Vincent, P., Vink, J., Voisin, F., Völk, H. J., Vuillaume, T., Wadiasingh, Z., Wagner, S. J., Wagner, P., White, R. M. Wagner R., Wierzcholska, A., Willmann, P., Wörnlein, A., Wouters, D., Yang, R., Zabalza, V., Zaborov, D., Zacharias, M., Zdziarski, A. A., Zech, A., Zefi, F., Ziegler, A., Żywucka, N.
Publikováno v:
A&A 598, A39 (2017)
Studying the temporal variability of BL Lac objects at the highest energies provides unique insights into the extreme physical processes occurring in relativistic jets and in the vicinity of super-massive black holes. To this end, the long-term varia
Externí odkaz:
http://arxiv.org/abs/1610.03311
Autor:
Zhao, Feng, Fan, Lin
Publikováno v:
Child & Family Behavior Therapy; 2022, Vol. 44 Issue 4, p372-380, 9p
Autor:
B Kaminsky, A Evans, Ya V Pavlenko, C E Woodward, D P K Banerjee, R D Gehrz, F Walter, S Starrfield, I Ilyin, K G Strassmeier, R M Wagner
We present an analysis of the red giant component of the recurrent nova V3890 Sgr, using data obtained before and after its 2019 eruption. Its effective temperature is $T_{\rm eff}=3050\pm$200 K for $\log{g}=0.7$, although there are modest changes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc5791ede7916af440418c947a98deb3
http://arxiv.org/abs/2207.14721
http://arxiv.org/abs/2207.14721
Autor:
Alexander R. M. Wagner, Anthony Stein
Publikováno v:
SN Computer Science. 3
In the field of rule-based approaches to Machine Learning, the XCS classifier system (XCS) is a well-known representative of the learning classifier systems family. By using a genetic algorithm (GA), the XCS aims at forming rules or so-called classif
Publikováno v:
GECCO Companion
The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop at the GECCO conference where new concepts and results regarding learning classifier systems (LCSs) are presented and discussed. One recurring part of the worksho
Autor:
Anthony Stein, Alexander R. M. Wagner
Publikováno v:
GECCO Companion
In this work, two variants of lexicase selection are examined for their performance improvement potential in the context of XCS variants allowing for continuous-valued inputs. We furthermore propose a niche-specific mode of operation for lexicase sel
Autor:
Anthony Stein, Alexander R. M. Wagner
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030726980
EvoApplications
EvoApplications
The rule-based XCS Classifier System (XCS) aims at forming classifiers which are as general as possible to achieve an optimal performance level. A too high generalization pressure may lead to over-general classifiers degrading the performance of XCS.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e88a0a0253b8e1e6809dfa0961a0fcc
https://doi.org/10.1007/978-3-030-72699-7_44
https://doi.org/10.1007/978-3-030-72699-7_44
Autor:
M Neric, T. R. Marsh, Mark Kennedy, T Augusteijn, Richard Ashley, Rene P. Breton, Colin Littlefield, Paul J. Callanan, Peter M. Garnavich, R. M. Wagner
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Between May 2016 and September 2018, the intermediate polar (IP) FO Aquarii exhibited two distinct low states and one failed low state. We present optical spectroscopy of FO Aquarii throughout this period, making this the first detailed study of an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feeb5f59b9d5ce05343bd5f5a5649242
http://arxiv.org/abs/2005.09656
http://arxiv.org/abs/2005.09656