Browsing by Author "Lahav, O."

Now showing items 1-6 of 6

    • Chronos: A NIR spectroscopic galaxy survey to probe the most fundamental stages of galaxy evolution 

      Ferreras, I.; Cropper, M.; Sharples, R.; Bland-Hawthorn, J.; Bruzual, G.; Charlot, S.; Conselice, C. J.; Driver, S.; Dunlop, J.; Hopkins, A. M.; Kaviraj, S.; Kitching, T.; Barbera, F. La; Lahav, O.; Pasquali, A.; Serjeant, S.; Silk, J.; Windhorst, R. (2021-07-18)
      We propose a dedicated, ultra-deep spectroscopic survey in the near infrared (NIR), that will target a mass-limited sample of galaxies during two of the most fundamental epochs of cosmic evolution: the formation of the ...

    • Decoding the spectra of SDSS early-type galaxies : New indicators of age and recent star formation 

      Rogers, B.; Ferreras, I.; Lahav, O.; Bernardi, M.; Kaviraj, S.; Yi, S.K. (2007-12-01)
      We apply principal component analysis (PCA) to a sample of early-type galaxies from the Sloan Digital Sky Survey (SDSS) in order to infer differences in their star formation histories from their unresolved stellar populations. ...

    • The EChO science case 

      Tinetti, Giovanna; Drossart, Pierre; Eccleston, Paul; Hartogh, Paul; Isaak, Kate; Linder, Martin; Lovis, Christophe; Micela, Giusi; Ollivier, Marc; Puig, Ludovic; Ribas, Ignasi; Snellen, Ignas; Allard, Bruce Swinyard France; Barstow, Joanna; Cho, James; Coustenis, Athena; Cockell, Charles; Correia, Alexandre; Decin, Leen; Kok, Remco de; Deroo, Pieter; Encrenaz, Therese; Forget, Francois; Glasse, Alistair; Griffith, Caitlin; Guillot, Tristan; Koskinen, Tommi; Lammer, Helmut; Leconte, Jeremy; Maxted, Pierre; Mueller-Wodarg, Ingo; Nelson, Richard; North, Chris; Pallé, Enric; Pagano, Isabella; Piccioni, Guseppe; Pinfield, D.J.; Selsis, Franck; Sozzetti, Alessandro; Stixrude, Lars; Tennyson, Jonathan; Turrini, Diego; Beaulieu, Mariarosa Zapatero-Osorio Jean-Philippe; Grodent, Denis; Guedel, Manuel; Luz, David; Nørgaard-Nielsen, Hans Ulrik; Ray, Tom; Rickman, Hans; Selig, Avri; Banaszkiewicz, Mark Swain Marek; Barlow, Mike; Bowles, Neil; Branduardi-Raymont, Graziella; Foresto, Vincent Coudé du; Gerard, Jean-Claude; Gizon, Laurent; Hornstrup, Allan; Jarchow, Christopher; Kerschbaum, Franz; Kovacs, Géza; Lagage, Pierre-Olivier; Lim, Tanya; Lopez-Morales, Mercedes; Malaguti, Giuseppe; Pace, Emanuele; Pascale, Enzo; Vandenbussche, Bart; Wright, Gillian; Adriani, Gonzalo Ramos Zapata Alberto; Azzollini, Ruymán; Balado, Ana; Bryson, Ian; Burston, Raymond; Colomé, Josep; Foresto, Vincent Coudé du; Crook, Martin; Giorgio, Anna Di; Griffin, Matt; Hoogeveen, Ruud; Ottensamer, Roland; Irshad, Ranah; Middleton, Kevin; Morgante, Gianluca; Pinsard, Frederic; Rataj, Mirek; Reess, Jean-Michel; Savini, Giorgio; Schrader, Jan-Rutger; Stamper, Richard; Abe, Berend Winter L.; Abreu, M.; Achilleos, N.; Ade, P.; Adybekian, V.; Affer, L.; Agnor, C.; Agundez, M.; Alard, C.; Alcala, J.; Prieto, C. Allende; Floriano, F. J. Alonso; Altieri, F.; Iglesias, C. A. Alvarez; Amado, P.; Andersen, A.; Aylward, A.; Baffa, C.; Bakos, G.; Ballerini, P.; Banaszkiewicz, M.; Barber, R. J.; Barrado, D.; Barton, E. J.; Batista, V.; Bellucci, G.; Avilés, J. A. Belmonte; Berry, D.; Bézard, B.; Biondi, D.; Błęcka, M.; Boisse, I.; Bonfond, B.; Bordé, P.; Börner, P.; Bouy, H.; Brown, L.; Buchhave, L.; Budaj, J.; Bulgarelli, A.; Burleigh, M.; Cabral, A.; Capria, M. T.; Cassan, A.; Cavarroc, C.; Cecchi-Pestellini, C.; Cerulli, R.; Chadney, J.; Chamberlain, S.; Charnoz, S.; Jessen, N. Christian; Ciaravella, A.; Claret, A.; Claudi, R.; Coates, A.; Cole, R.; Collura, A.; Cordier, D.; Covino, E.; Danielski, C.; Damasso, M.; Deeg, H. J.; Delgado-Mena, E.; Vecchio, C. Del; Demangeon, O.; Sio, A. De; Wit, J. De; Dobrijévic, M.; Doel, P.; Dominic, C.; Dorfi, E.; Eales, S.; Eiroa, C.; Contreras, M. Espinoza; Esposito, M.; Eymet, V.; Fabrizio, N.; Fernández, M.; Castella, B. Femenía; Figueira, P.; Filacchione, G.; Fletcher, L.; Focardi, M.; Fossey, S.; Fouqué, P.; Frith, J.; Galand, M.; Gambicorti, L.; Gaulme, P.; López, R. J. García; Garcia-Piquer, A.; Gear, W.; Gerard, J. -C.; Gesa, L.; Giani, E.; Gianotti, F.; Gillon, M.; Giro, E.; Giuranna, M.; Gomez, H.; Gomez-Leal, I.; Hernandez, J. Gonzalez; Merino, B. González; Graczyk, R.; Grassi, D.; Guardia, J.; Guio, P.; Gustin, J.; Hargrave, P.; Haigh, J.; Hébrard, E.; Heiter, U.; Heredero, R. L.; Herrero, E.; Hersant, F.; Heyrovsky, D.; Hollis, M.; Hubert, B.; Hueso, R.; Israelian, G.; Iro, N.; Irwin, P.; Jacquemoud, S.; Jones, G.; Jones, H.R.A.; Justtanont, K.; Kehoe, T.; Kerschbaum, F.; Kerins, E.; Kervella, P.; Kipping, D.; Koskinen, T.; Krupp, N.; Lahav, O.; Laken, B.; Lanza, N.; Lellouch, E.; Leto, G.; Goldaracena, J. Licandro; Lithgow-Bertelloni, C.; Liu, S. J.; Cicero, U. Lo; Lodieu, N.; Lognonné, P.; Lopez-Puertas, M.; Lopez-Valverde, M. A.; Rasmussen, I. Lundgaard; Luntzer, A.; Machado, P.; MacTavish, C.; Maggio, A.; Maillard, J. -P.; Magnes, W.; Maldonado, J.; Mall, U.; Marquette, J.-B.; Mauskopf, P.; Massi, F.; Maurin, A. -S.; Medvedev, A.; Michaut, C.; Miles-Paez, P.; Montalto, M.; Rodríguez, P. Montañés; Monteiro, M.; Montes, D.; Morais, H.; Morales, J. C.; Morales-Calderón, M.; Morello, G.; Martín, A. Moro; Moses, J.; Bedon, A. Moya; Alcaino, F. Murgas; Oliva, E.; Orton, G.; Palla, F.; Pancrazzi, M.; Pantin, E.; Parmentier, V.; Parviainen, H.; Ramírez, K. Y. Peña; Peralta, J.; Perez-Hoyos, S.; Petrov, R.; Pezzuto, S.; Pietrzak, R.; Pilat-Lohinger, E.; Piskunov, N.; Prinja, R.; Prisinzano, L.; Polichtchouk, I.; Poretti, E.; Radioti, A.; Ramos, A. A.; Rank-Lüftinger, T.; Read, P.; Readorn, K.; López, R. Rebolo; Rebordão, J.; Rengel, M.; Rezac, L.; Rocchetto, M.; Rodler, F.; Béjar, V. J. Sánchez; Lavega, A. Sanchez; Sanromá, E.; Santos, N.; Forcada, J. Sanz; Scandariato, G.; Schmider, F. -X.; Scholz, A.; Scuderi, S.; Sethenadh, J.; Shore, S.; Showman, A.; Sicardy, B.; Sitek, P.; Smith, A.; Soret, L.; Sousa, S.; Stiepen, A.; Stolarski, M.; Strazzulla, G.; Tabernero, H. M; Tanga, P.; Tecsa, M.; Temple, J.; Terenzi, L.; Tessenyi, M.; Testi, L.; Thompson, S.; Thrastarson, H.; Tingley, B. W.; Trifoglio, M.; Torres, J. Martín; Tozzi, A.; Turrini, D.; Varley, R.; Vakili, F.; Val-Borro, M. de; Valdivieso, M. L.; Venot, O.; Villaver, E.; Vinatier, S.; Viti, S.; Waldmann, I.; Waltham, D.; Ward-Thompson, D.; Waters, R.; Watkins, C.; Watson, D.; Wawer, P.; Wawrzaszk, A.; White, G.; Widemann, T.; Winek, W.; Wiśniowski, T.; Yelle, R.; Yung, Y.; Yurchenko, S.N. (2015-12-01)
      The discovery of almost 2000 exoplanets has revealed an unexpectedly diverse planet population. Observations to date have shown that our Solar System is certainly not representative of the general population of planets in ...

    • PHAT: PHoto-z Accuracy Testing 

      Hildebrandt, H.; Arnouts, S.; Capak, P.; Moustakas, L.A.; Wolf, C.; Abdalla, F.B.; Assef, R.J.; Banerji, M.; Benitez, N.; Brammer, G.B.; Budavari, T.; Carliles, S.; Coe, D.; Dahlen, T.; Feldmann, R.; Gerdes, D.; Gillis, B.; Ibert, O.; Kotulla, R.; Lahav, O.; Li, I.H.; Miralles, J.M.; Purger, N.; Schmidt, S.; Singal, J. (2010)
      Context: Photometric redshifts (photo-z’s) have become an essential tool in extragalactic astronomy. Many current and upcoming observing programmes require great accuracy of photo-z’s to reach their scientific goals. Aims: ...

    • The role of environment on the formation of early-type galaxies 

      Rogers, B.; Ferreras, I.; Kaviraj, S.; Pasquali, A.; Bernardi, M.; Lahav, O. (2010-06-01)
      The effect of environment on galaxy formation poses one of the best constraints on the interplay between mass assembly and star formation in galaxies. We present here a detailed study of the stellar populations of a ...

    • Transfer learning for galaxy morphology from one survey to another 

      Sánchez, H. Domínguez; Huertas-Company, M.; Bernardi, M.; Kaviraj, S.; Fischer, J. L.; Abbott, T. M. C.; Abdalla, F. B.; Annis, J.; Avila, S.; Buckley-Geer, E.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Cunha, C. E.; D'Andrea, C. B.; Costa, L. N. da; Davis, C.; Vicente, J. De; Doel, P.; Evrard, A. E.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gschwend, J.; Gutierrez, G.; Hartley, W. G.; Hollowood, D. L.; Honscheid, K.; Hoyle, B.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Maia, M. A. G.; March, M.; Melchior, P.; Menanteau, F.; Miquel, R.; Nord, B.; Plazas, A. A.; Sanchez, E.; Scarpine, V.; Schindler, R.; Schubnell, M.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Walker, A. R.; Zuntz, J. (2018-12-28)
      Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorithms rely on large training samples of ...