TY  - INPR
A1  - Acharya, B. S.
A1  - Actis, M.
A1  - Aghajani, T.
A1  - Agnetta, G.
A1  - Aguilar, J.
A1  - Aharonian, Felix A.
A1  - Ajello, M.
A1  - Akhperjanian, A. G.
A1  - Alcubierre, M.
A1  - Aleksic, J.
A1  - Alfaro, R.
A1  - Aliu, E.
A1  - Allafort, A. J.
A1  - Allan, D.
A1  - Allekotte, I.
A1  - Amato, E.
A1  - Anderson, J.
A1  - Angüner, Ekrem Oǧuzhan
A1  - Antonelli, L. A.
A1  - Antoranz, P.
A1  - Aravantinos, A.
A1  - Arlen, T.
A1  - Armstrong, T.
A1  - Arnaldi, H.
A1  - Arrabito, L.
A1  - Asano, K.
A1  - Ashton, T.
A1  - Asorey, H. G.
A1  - Awane, Y.
A1  - Baba, H.
A1  - Babic, A.
A1  - Baby, N.
A1  - Baehr, J.
A1  - Bais, A.
A1  - Baixeras, C.
A1  - Bajtlik, S.
A1  - Balbo, M.
A1  - Balis, D.
A1  - Balkowski, C.
A1  - Bamba, A.
A1  - Bandiera, R.
A1  - Barber, A.
A1  - Barbier, C.
A1  - Barcelo, M.
A1  - Barnacka, Anna
A1  - Barnstedt, Jürgen
A1  - Barres de Almeida, U.
A1  - Barrio, J. A.
A1  - Basili, A.
A1  - Basso, S.
A1  - Bastieri, D.
A1  - Bauer, C.
A1  - Baushev, Anton N.
A1  - Becerra Gonzalez, J.
A1  - Becherini, Yvonne
A1  - Bechtol, K. C.
A1  - Tjus, J. Becker
A1  - Beckmann, Volker
A1  - Bednarek, W.
A1  - Behera, B.
A1  - Belluso, M.
A1  - Benbow, W.
A1  - Berdugo, J.
A1  - Berger, K.
A1  - Bernard, F.
A1  - Bernardino, T.
A1  - Bernlöhr, K.
A1  - Bhat, N.
A1  - Bhattacharyya, S.
A1  - Bigongiari, C.
A1  - Biland, A.
A1  - Billotta, S.
A1  - Bird, T.
A1  - Birsin, E.
A1  - Bissaldi, E.
A1  - Biteau, Jonathan
A1  - Bitossi, M.
A1  - Blake, S.
A1  - Blanch Bigas, O.
A1  - Blasi, P.
A1  - Bobkov, A. A.
A1  - Boccone, V.
A1  - Boettcher, Markus
A1  - Bogacz, L.
A1  - Bogart, J.
A1  - Bogdan, M.
A1  - Boisson, Catherine
A1  - Boix Gargallo, J.
A1  - Bolmont, J.
A1  - Bonanno, G.
A1  - Bonardi, A.
A1  - Bonev, T.
A1  - Bonifacio, P.
A1  - Bonnoli, G.
A1  - Bordas, Pol
A1  - Borgland, A. W.
A1  - Borkowski, Janett
A1  - Bose, R.
A1  - Botner, O.
A1  - Bottani, A.
A1  - Bouchet, L.
A1  - Bourgeat, M.
A1  - Boutonnet, C.
A1  - Bouvier, A.
A1  - Brau-Nogue, S.
A1  - Braun, I.
A1  - Bretz, T.
A1  - Briggs, M. S.
A1  - Bringmann, T.
A1  - Brook, P.
A1  - Brun, Pierre
A1  - Brunetti, L.
A1  - Buanes, T.
A1  - Buckley, J. H.
A1  - Buehler, R.
A1  - Bugaev, V.
A1  - Bulgarelli, A.
A1  - Bulik, Tomasz
A1  - Busetto, G.
A1  - Buson, S.
A1  - Byrum, K.
A1  - Cailles, M.
A1  - Cameron, R. A.
A1  - Camprecios, J.
A1  - Canestrari, R.
A1  - Cantu, S.
A1  - Capalbi, M.
A1  - Caraveo, P. A.
A1  - Carmona, E.
A1  - Carosi, A.
A1  - Carr, John
A1  - Carton, P. H.
A1  - Casanova, Sabrina
A1  - Casiraghi, M.
A1  - Catalano, O.
A1  - Cavazzani, S.
A1  - Cazaux, S.
A1  - Cerruti, M.
A1  - Chabanne, E.
A1  - Chadwick, Paula M.
A1  - Champion, C.
A1  - Chen, Andrew
A1  - Chiang, J.
A1  - Chiappetti, L.
A1  - Chikawa, M.
A1  - Chitnis, V. R.
A1  - Chollet, F.
A1  - Chudoba, J.
A1  - Cieslar, M.
A1  - Cillis, A. N.
A1  - Cohen-Tanugi, J.
A1  - Colafrancesco, Sergio
A1  - Colin, P.
A1  - Calome, J.
A1  - Colonges, S.
A1  - Compin, M.
A1  - Conconi, P.
A1  - Conforti, V.
A1  - Connaughton, V.
A1  - Conrad, Jan
A1  - Contreras, J. L.
A1  - Coppi, P.
A1  - Corona, P.
A1  - Corti, D.
A1  - Cortina, J.
A1  - Cossio, L.
A1  - Costantini, H.
A1  - Cotter, G.
A1  - Courty, B.
A1  - Couturier, S.
A1  - Covino, S.
A1  - Crimi, G.
A1  - Criswell, S. J.
A1  - Croston, J.
A1  - Cusumano, G.
A1  - Dafonseca, M.
A1  - Dale, O.
A1  - Daniel, M.
A1  - Darling, J.
A1  - Davids, I.
A1  - Dazzi, F.
A1  - De Angelis, A.
A1  - De Caprio, V.
A1  - De Frondat, F.
A1  - de Gouveia Dal Pino, E. M.
A1  - de la Calle, I.
A1  - De La Vega, G. A.
A1  - Lopez, R. de los Reyes
A1  - De Lotto, B.
A1  - De Luca, A.
A1  - de Mello Neto, J. R. T.
A1  - de Naurois, M.
A1  - de Oliveira, Y.
A1  - de Ona Wilhelmi, E.
A1  - de Souza, V.
A1  - Decerprit, G.
A1  - Decock, G.
A1  - Deil, C.
A1  - Delagnes, E.
A1  - Deleglise, G.
A1  - Delgado, C.
A1  - Della Volpe, D.
A1  - Demange, P.
A1  - Depaola, G.
A1  - Dettlaff, A.
A1  - Di Paola, A.
A1  - Di Pierro, F.
A1  - Diaz, C.
A1  - Dick, J.
A1  - Dickherber, R.
A1  - Dickinson, H.
A1  - Diez-Blanco, V.
A1  - Digel, S.
A1  - Dimitrov, D.
A1  - Disset, G.
A1  - Djannati-Ataï, A.
A1  - Doert, M.
A1  - Dohmke, M.
A1  - Domainko, W.
A1  - Prester, Dijana Dominis
A1  - Donat, A.
A1  - Dorner, D.
A1  - Doro, M.
A1  - Dournaux, J-L.
A1  - Drake, G.
A1  - Dravins, D.
A1  - Drury, L.
A1  - Dubois, F.
A1  - Dubois, R.
A1  - Dubus, G.
A1  - Dufour, C.
A1  - Dumas, D.
A1  - Dumm, J.
A1  - Durand, D.
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Ebr, J.
A1  - Edy, E.
A1  - Egberts, Kathrin
A1  - Eger, P.
A1  - Einecke, S.
A1  - Eleftheriadis, C.
A1  - Elles, S.
A1  - Emmanoulopoulos, D.
A1  - Engelhaupt, D.
A1  - Enomoto, R.
A1  - Ernenwein, J-P
A1  - Errando, M.
A1  - Etchegoyen, A.
A1  - Evans, P.
A1  - Falcone, A.
A1  - Fantinel, D.
A1  - Farakos, K.
A1  - Farnier, C.
A1  - Fasola, G.
A1  - Favill, B.
A1  - Fede, E.
A1  - Federici, S.
A1  - Fegan, S.
A1  - Feinstein, F.
A1  - Ferenc, D.
A1  - Ferrando, P.
A1  - Fesquet, M.
A1  - Fiasson, A.
A1  - Fillin-Martino, E.
A1  - Fink, D.
A1  - Finley, C.
A1  - Finley, J. P.
A1  - Fiorini, M.
A1  - Firpo Curcoll, R.
A1  - Flores, H.
A1  - Florin, D.
A1  - Focke, W.
A1  - Foehr, C.
A1  - Fokitis, E.
A1  - Font, L.
A1  - Fontaine, G.
A1  - Fornasa, M.
A1  - Foerster, A.
A1  - Fortson, L.
A1  - Fouque, N.
A1  - Franckowiak, A.
A1  - Fransson, C.
A1  - Fraser, G.
A1  - Frei, R.
A1  - Albuquerque, I. F. M.
A1  - Fresnillo, L.
A1  - Fruck, C.
A1  - Fujita, Y.
A1  - Fukazawa, Y.
A1  - Fukui, Y.
A1  - Funk, S.
A1  - Gaebele, W.
A1  - Gabici, S.
A1  - Gabriele, R.
A1  - Gadola, A.
A1  - Galante, N.
A1  - Gall, D.
A1  - Gallant, Y.
A1  - Gamez-Garcia, J.
A1  - Garcia, B.
A1  - Garcia Lopez, R.
A1  - Gardiol, D.
A1  - Garrido, D.
A1  - Garrido, L.
A1  - Gascon, D.
A1  - Gaug, M.
A1  - Gaweda, J.
A1  - Gebremedhin, L.
A1  - Geffroy, N.
A1  - Gerard, L.
A1  - Ghedina, A.
A1  - Ghigo, M.
A1  - Giannakaki, E.
A1  - Gianotti, F.
A1  - Giarrusso, S.
A1  - Giavitto, G.
A1  - Giebels, B.
A1  - Gika, V.
A1  - Giommi, P.
A1  - Girard, N.
A1  - Giro, E.
A1  - Giuliani, A.
A1  - Glanzman, T.
A1  - Glicenstein, J. -F.
A1  - Godinovic, N.
A1  - Golev, V.
A1  - Gomez Berisso, M.
A1  - Gomez-Ortega, J.
A1  - Gonzalez, M. M.
A1  - Gonzalez, A.
A1  - Gonzalez, F.
A1  - Gonzalez Munoz, A.
A1  - Gothe, K. S.
A1  - Gougerot, M.
A1  - Graciani, R.
A1  - Grandi, P.
A1  - Granena, F.
A1  - Granot, J.
A1  - Grasseau, G.
A1  - Gredig, R.
A1  - Green, A.
A1  - Greenshaw, T.
A1  - Gregoire, T.
A1  - Grimm, O.
A1  - Grube, J.
A1  - Grudzinska, M.
A1  - Gruev, V.
A1  - Gruenewald, S.
A1  - Grygorczuk, J.
A1  - Guarino, V.
A1  - Gunji, S.
A1  - Gyuk, G.
A1  - Hadasch, D.
A1  - Hagiwara, R.
A1  - Hahn, J.
A1  - Hakansson, N.
A1  - Hallgren, A.
A1  - Hamer Heras, N.
A1  - Hara, S.
A1  - Hardcastle, M. J.
A1  - Harris, J.
A1  - Hassan, T.
A1  - Hatanaka, K.
A1  - Haubold, T.
A1  - Haupt, A.
A1  - Hayakawa, T.
A1  - Hayashida, M.
A1  - Heller, R.
A1  - Henault, F.
A1  - Henri, G.
A1  - Hermann, G.
A1  - Hermel, R.
A1  - Herrero, A.
A1  - Hidaka, N.
A1  - Hinton, J.
A1  - Hoffmann, D.
A1  - Hofmann, W.
A1  - Hofverberg, P.
A1  - Holder, J.
A1  - Horns, D.
A1  - Horville, D.
A1  - Houles, J.
A1  - Hrabovsky, M.
A1  - Hrupec, D.
A1  - Huan, H.
A1  - Huber, B.
A1  - Huet, J. -M.
A1  - Hughes, G.
A1  - Humensky, T. B.
A1  - Huovelin, J.
A1  - Ibarra, A.
A1  - Illa, J. M.
A1  - Impiombato, D.
A1  - Incorvaia, S.
A1  - Inoue, S.
A1  - Inoue, Y.
A1  - Ioka, K.
A1  - Ismailova, E.
A1  - Jablonski, C.
A1  - Jacholkowska, A.
A1  - Jamrozy, M.
A1  - Janiak, M.
A1  - Jean, P.
A1  - Jeanney, C.
A1  - Jimenez, J. J.
A1  - Jogler, T.
A1  - Johnson, T.
A1  - Journet, L.
A1  - Juffroy, C.
A1  - Jung, I.
A1  - Kaaret, P.
A1  - Kabuki, S.
A1  - Kagaya, M.
A1  - Kakuwa, J.
A1  - Kalkuhl, C.
A1  - Kankanyan, R.
A1  - Karastergiou, A.
A1  - Kaercher, K.
A1  - Karczewski, M.
A1  - Karkar, S.
A1  - Kasperek, Aci.
A1  - Kastana, D.
A1  - Katagiri, H.
A1  - Kataoka, J.
A1  - Katarzynski, K.
A1  - Katz, U.
A1  - Kawanaka, N.
A1  - Kellner-Leidel, B.
A1  - Kelly, H.
A1  - Kendziorra, E.
A1  - Khelifi, B.
A1  - Kieda, D. B.
A1  - Kifune, T.
A1  - Kihm, T.
A1  - Kishimoto, T.
A1  - Kitamoto, K.
A1  - Kluzniak, W.
A1  - Knapic, C.
A1  - Knapp, J. w
A1  - Knoedlseder, J.
A1  - Koeck, F.
A1  - Kocot, J.
A1  - Kodani, K.
A1  - Koehne, J. -H.
A1  - Kohri, K.
A1  - Kokkotas, K.
A1  - Kolitzus, D.
A1  - Komin, N.
A1  - Kominis, I.
A1  - Konno, Y.
A1  - Koeppel, H.
A1  - Korohoda, P.
A1  - Kosack, K.
A1  - Koss, G.
A1  - Kossakowski, R.
A1  - Kostka, P.
A1  - Koul, R.
A1  - Kowal, G.
A1  - Koyama, S.
A1  - Koziol, J.
A1  - Kraehenbuehl, T.
A1  - Krause, J.
A1  - Krawzcynski, H.
A1  - Krennrich, F.
A1  - Krepps, A.
A1  - Kretzschmann, A.
A1  - Krobot, R.
A1  - Krueger, P.
A1  - Kubo, H.
A1  - Kudryavtsev, V. A.
A1  - Kushida, J.
A1  - Kuznetsov, A.
A1  - La Barbera, A.
A1  - La Palombara, N.
A1  - La Parola, V.
A1  - La Rosa, G.
A1  - Lacombe, K.
A1  - Lamanna, G.
A1  - Lande, J.
A1  - Languignon, D.
A1  - Lapington, J.
A1  - Laporte, P.
A1  - Lavalley, C.
A1  - Le Flour, T.
A1  - Le Padellec, A.
A1  - Lee, S. -H.
A1  - Lee, W. H.
A1  - Leigui de Oliveira, M. A.
A1  - Lelas, D.
A1  - Lenain, J. -P.
A1  - Leopold, D. J.
A1  - Lerch, T.
A1  - Lessio, L.
A1  - Lieunard, B.
A1  - Lindfors, E.
A1  - Liolios, A.
A1  - Lipniacka, A.
A1  - Lockart, H.
A1  - Lohse, T.
A1  - Lombardi, S.
A1  - Lopatin, A.
A1  - Lopez, M.
A1  - Lopez-Coto, R.
A1  - Lopez-Oramas, A.
A1  - Lorca, A.
A1  - Lorenz, E.
A1  - Lubinski, P.
A1  - Lucarelli, F.
A1  - Luedecke, H.
A1  - Ludwin, J.
A1  - Luque-Escamilla, P. L.
A1  - Lustermann, W.
A1  - Luz, O.
A1  - Lyard, E.
A1  - Maccarone, M. C.
A1  - Maccarone, T. J.
A1  - Madejski, G. M.
A1  - Madhavan, A.
A1  - Mahabir, M.
A1  - Maier, G.
A1  - Majumdar, P.
A1  - Malaguti, G.
A1  - Maltezos, S.
A1  - Manalaysay, A.
A1  - Mancilla, A.
A1  - Mandat, D.
A1  - Maneva, G.
A1  - Mangano, A.
A1  - Manigot, P.
A1  - Mannheim, K.
A1  - Manthos, I.
A1  - Maragos, N.
A1  - Marcowith, A.
A1  - Mariotti, M.
A1  - Marisaldi, M.
A1  - Markoff, S.
A1  - Marszalek, A.
A1  - Martens, C.
A1  - Marti, J.
A1  - Martin, J-M.
A1  - Martin, P.
A1  - Martinez, G.
A1  - Martinez, F.
A1  - Martinez, M.
A1  - Masserot, A.
A1  - Mastichiadis, A.
A1  - Mathieu, A.
A1  - Matsumoto, H.
A1  - Mattana, F.
A1  - Mattiazzo, S.
A1  - Maurin, G.
A1  - Maxfield, S.
A1  - Maya, J.
A1  - Mazin, D.
A1  - Mc Comb, L.
A1  - McCubbin, N.
A1  - McHardy, I.
A1  - McKay, R.
A1  - Medina, C.
A1  - Melioli, C.
A1  - Melkumyan, D.
A1  - Mereghetti, S.
A1  - Mertsch, P.
A1  - Meucci, M.
A1  - Michalowski, J.
A1  - Micolon, P.
A1  - Mihailidis, A.
A1  - Mineo, T.
A1  - Minuti, M.
A1  - Mirabal, N.
A1  - Mirabel, F.
A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Mizuno, T.
A1  - Moal, B.
A1  - Moderski, R.
A1  - Mognet, I.
A1  - Molinari, E.
A1  - Molinaro, M.
A1  - Montaruli, T.
A1  - Monteiro, I.
A1  - Moore, P.
A1  - Moralejo Olaizola, A.
A1  - Mordalska, M.
A1  - Morello, C.
A1  - Mori, K.
A1  - Mottez, F.
A1  - Moudden, Y.
A1  - Moulin, E.
A1  - Mrusek, I.
A1  - Mukherjee, R.
A1  - Munar-Adrover, P.
A1  - Muraishi, H.
A1  - Murase, K.
A1  - Murphy, A.
A1  - Nagataki, S.
A1  - Naito, T.
A1  - Nakajima, D.
A1  - Nakamori, T.
A1  - Nakayama, K.
A1  - Naumann, C. L.
A1  - Naumann, D.
A1  - Naumann-Godo, M.
A1  - Nayman, P.
A1  - Nedbal, D.
A1  - Neise, D.
A1  - Nellen, L.
A1  - Neustroev, V.
A1  - Neyroud, N.
A1  - Nicastro, L.
A1  - Nicolau-Kuklinski, J.
A1  - Niedzwiecki, A.
A1  - Niemiec, J.
A1  - Nieto, D.
A1  - Nikolaidis, A.
A1  - Nishijima, K.
A1  - Nolan, S.
A1  - Northrop, R.
A1  - Nosek, D.
A1  - Nowak, N.
A1  - Nozato, A.
A1  - O'Brien, P.
A1  - Ohira, Y.
A1  - Ohishi, M.
A1  - Ohm, S.
A1  - Ohoka, H.
A1  - Okuda, T.
A1  - Okumura, A.
A1  - Olive, J. -F.
A1  - Ong, R. A.
A1  - Orito, R.
A1  - Orr, M.
A1  - Osborne, J.
A1  - Ostrowski, M.
A1  - Otero, L. A.
A1  - Otte, N.
A1  - Ovcharov, E.
A1  - Oya, I.
A1  - Ozieblo, A.
A1  - Padilla, L.
A1  - Paiano, S.
A1  - Paillot, D.
A1  - Paizis, A.
A1  - Palanque, S.
A1  - Palatka, M.
A1  - Pallota, J.
A1  - Panagiotidis, K.
A1  - Panazol, J. -L.
A1  - Paneque, D.
A1  - Panter, M.
A1  - Paoletti, R.
A1  - Papayannis, Alexandros
A1  - Papyan, G.
A1  - Paredes, J. M.
A1  - Pareschi, G.
A1  - Parks, G.
A1  - Parraud, J. -M.
A1  - Parsons, D.
A1  - Arribas, M. Paz
A1  - Pech, M.
A1  - Pedaletti, G.
A1  - Pelassa, V.
A1  - Pelat, D.
A1  - Perez, M. D. C.
A1  - Persic, M.
A1  - Petrucci, P-O
A1  - Peyaud, B.
A1  - Pichel, A.
A1  - Pita, S.
A1  - Pizzolato, F.
A1  - Platos, L.
A1  - Platzer, R.
A1  - Pogosyan, L.
A1  - Pohl, M.
A1  - Pojmanski, G.
A1  - Ponz, J. D.
A1  - Potter, W.
A1  - Poutanen, J.
A1  - Prandini, E.
A1  - Prast, J.
A1  - Preece, R.
A1  - Profeti, F.
A1  - Prokoph, H.
A1  - Prouza, M.
A1  - Proyetti, M.
A1  - Puerto-Gimenez, I.
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A1  - Zech, Alraune
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T1  - Introducing the CTA concept
T2  - Astroparticle physics
N2  - The Cherenkov Telescope Array (CTA) is a new observatory for very high-energy (VHE) gamma rays. CTA has ambitions science goals, for which it is necessary to achieve full-sky coverage, to improve the sensitivity by about an order of magnitude, to span about four decades of energy, from a few tens of GeV to above 100 TeV with enhanced angular and energy resolutions over existing VHE gamma-ray observatories. An international collaboration has formed with more than 1000 members from 27 countries in Europe, Asia, Africa and North and South America. In 2010 the CTA Consortium completed a Design Study and started a three-year Preparatory Phase which leads to production readiness of CTA in 2014. In this paper we introduce the science goals and the concept of CTA, and provide an overview of the project.
KW  - TeV gamma-ray astronomy
KW  - Air showers
KW  - Cherenkov Telescopes
Y1  - 2013
U6  - https://doi.org/10.1016/j.astropartphys.2013.01.007
SN  - 0927-6505
SN  - 1873-2852
VL  - 43
IS  - 2
SP  - 3
EP  - 18
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
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A1  - Martinez, M.
A1  - Mastichiadis, A.
A1  - Matsumoto, H.
A1  - Mattiazzo, S.
A1  - Mazin, D.
A1  - McComb, T. J. L.
A1  - McCubbin, N.
A1  - McHardy, I.
A1  - Medina, C.
A1  - Melkumyan, D.
A1  - Mendes, A.
A1  - Mertsch, P.
A1  - Meucci, M.
A1  - Michalowski, J.
A1  - Micolon, P.
A1  - Mineo, T.
A1  - Mirabal, N.
A1  - Mirabel, F.
A1  - Miranda, J. M.
A1  - Mirzoyan, R.
A1  - Mizuno, T.
A1  - Moal, B.
A1  - Moderski, R.
A1  - Molinari, E.
A1  - Monteiro, I.
A1  - Moralejo, A.
A1  - Morello, C.
A1  - Mori, K.
A1  - Motta, G.
A1  - Mottez, F.
A1  - Moulin, E.
A1  - Mukherjee, R.
A1  - Munar, P.
A1  - Muraishi, H.
A1  - Murase, K.
A1  - Murphy, A. Stj.
A1  - Nagataki, S.
A1  - Naito, T.
A1  - Nakamori, T.
A1  - Nakayama, K.
A1  - Naumann, C. L.
A1  - Naumann, D.
A1  - Nayman, P.
A1  - Nedbal, D.
A1  - Niedzwiecki, A.
A1  - Niemiec, J.
A1  - Nikolaidis, A.
A1  - Nishijima, K.
A1  - Nolan, S. J.
A1  - Nowak, N.
A1  - O'Brien, P. T.
A1  - Ochoa, I.
A1  - Ohira, Y.
A1  - Ohishi, M.
A1  - Ohka, H.
A1  - Okumura, A.
A1  - Olivetto, C.
A1  - Ong, R. A.
A1  - Orito, R.
A1  - Orr, M.
A1  - Osborne, J. P.
A1  - Ostrowski, M.
A1  - Otero, L.
A1  - Otte, A. N.
A1  - Ovcharov, E.
A1  - Oya, I.
A1  - Ozieblo, A.
A1  - Paiano, S.
A1  - Pallota, J.
A1  - Panazol, J. L.
A1  - Paneque, D.
A1  - Panter, M.
A1  - Paoletti, R.
A1  - Papyan, G.
A1  - Paredes, J. M.
A1  - Pareschi, G.
A1  - Parsons, R. D.
A1  - Arribas, M. Paz
A1  - Pedaletti, G.
A1  - Pepato, A.
A1  - Persic, M.
A1  - Petrucci, P. O.
A1  - Peyaud, B.
A1  - Piechocki, W.
A1  - Pita, S.
A1  - Pivato, G.
A1  - Platos, L.
A1  - Platzer, R.
A1  - Pogosyan, L.
A1  - Pohl, Martin
A1  - Pojmanski, G.
A1  - Ponz, J. D.
A1  - Potter, W.
A1  - Prandini, E.
A1  - Preece, R.
A1  - Prokoph, H.
A1  - Puehlhofer, G.
A1  - Punch, M.
A1  - Quel, E.
A1  - Quirrenbach, A.
A1  - Rajda, P.
A1  - Rando, R.
A1  - Rataj, M.
A1  - Raue, M.
A1  - Reimann, C.
A1  - Reimann, O.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Renaud, M.
A1  - Renner, S.
A1  - Reymond, J. -M.
A1  - Rhode, W.
A1  - Ribo, M.
A1  - Ribordy, M.
A1  - Rico, J.
A1  - Rieger, F.
A1  - Ringegni, P.
A1  - Ripken, J.
A1  - Ristori, P.
A1  - Rivoire, S.
A1  - Rob, L.
A1  - Rodriguez, S.
A1  - Roeser, U.
A1  - Romano, Patrizia
A1  - Romero, G. E.
A1  - Rosier-Lees, S.
A1  - Rovero, A. C.
A1  - Roy, F.
A1  - Royer, S.
A1  - Rudak, B.
A1  - Rulten, C. B.
A1  - Ruppel, J.
A1  - Russo, F.
A1  - Ryde, F.
A1  - Sacco, B.
A1  - Saggion, A.
A1  - Sahakian, V.
A1  - Saito, K.
A1  - Saito, T.
A1  - Sakaki, N.
A1  - Salazar, E.
A1  - Salini, A.
A1  - Sanchez, F.
A1  - Sanchez Conde, M. A.
A1  - Santangelo, A.
A1  - Santos, E. M.
A1  - Sanuy, A.
A1  - Sapozhnikov, L.
A1  - Sarkar, S.
A1  - Scalzotto, V.
A1  - Scapin, V.
A1  - Scarcioffolo, M.
A1  - Schanz, T.
A1  - Schlenstedt, S.
A1  - Schlickeiser, R.
A1  - Schmidt, T.
A1  - Schmoll, J.
A1  - Schroedter, M.
A1  - Schultz, C.
A1  - Schultze, J.
A1  - Schulz, A.
A1  - Schwanke, U.
A1  - Schwarzburg, S.
A1  - Schweizer, T.
A1  - Seiradakis, J.
A1  - Selmane, S.
A1  - Seweryn, K.
A1  - Shayduk, M.
A1  - Shellard, R. C.
A1  - Shibata, T.
A1  - Sikora, M.
A1  - Silk, J.
A1  - Sillanpaa, A.
A1  - Sitarek, J.
A1  - Skole, C.
A1  - Smith, N.
A1  - Sobczynska, D.
A1  - Sofo Haro, M.
A1  - Sol, H.
A1  - Spanier, F.
A1  - Spiga, D.
A1  - Spyrou, S.
A1  - Stamatescu, V.
A1  - Stamerra, A.
A1  - Starling, R. L. C.
A1  - Stawarz, L.
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Steiner, S.
A1  - Stergioulas, N.
A1  - Sternberger, R.
A1  - Stinzing, F.
A1  - Stodulski, M.
A1  - Straumann, U.
A1  - Suarez, A.
A1  - Suchenek, M.
A1  - Sugawara, R.
A1  - Sulanke, K. H.
A1  - Sun, S.
A1  - Supanitsky, A. D.
A1  - Sutcliffe, P.
A1  - Szanecki, M.
A1  - Szepieniec, T.
A1  - Szostek, A.
A1  - Szymkowiak, A.
A1  - Tagliaferri, G.
A1  - Tajima, H.
A1  - Takahashi, H.
A1  - Takahashi, K.
A1  - Takalo, L.
A1  - Takami, H.
A1  - Talbot, R. G.
A1  - Tam, P. H.
A1  - Tanaka, M.
A1  - Tanimori, T.
A1  - Tavani, M.
A1  - Tavernet, J. -P.
A1  - Tchernin, C.
A1  - Tejedor, L. A.
A1  - Telezhinsky, Igor O.
A1  - Temnikov, P.
A1  - Tenzer, C.
A1  - Terada, Y.
A1  - Terrier, R.
A1  - Teshima, M.
A1  - Testa, V.
A1  - Tibaldo, L.
A1  - Tibolla, O.
A1  - Tluczykont, M.
A1  - Peixoto, C. J. Todero
A1  - Tokanai, F.
A1  - Tokarz, M.
A1  - Toma, K.
A1  - Torres, D. F.
A1  - Tosti, G.
A1  - Totani, T.
A1  - Toussenel, F.
A1  - Vallania, P.
A1  - Vallejo, G.
A1  - van der Walt, J.
A1  - van Eldik, C.
A1  - Vandenbroucke, J.
A1  - Vankov, H.
A1  - Vasileiadis, G.
A1  - Vassiliev, V. V.
A1  - Vegas, I.
A1  - Venter, L.
A1  - Vercellone, S.
A1  - Veyssiere, C.
A1  - Vialle, J. P.
A1  - Videla, M.
A1  - Vincent, P.
A1  - Vink, J.
A1  - Vlahakis, N.
A1  - Vlahos, L.
A1  - Vogler, P.
A1  - Vollhardt, A.
A1  - Volpe, F.
A1  - Von Gunten, H. P.
A1  - Vorobiov, S.
A1  - Wagner, S.
A1  - Wagner, R. M.
A1  - Wagner, B.
A1  - Wakely, S. P.
A1  - Walter, P.
A1  - Walter, R.
A1  - Warwick, R.
A1  - Wawer, P.
A1  - Wawrzaszek, R.
A1  - Webb, N.
A1  - Wegner, P.
A1  - Weinstein, A.
A1  - Weitzel, Q.
A1  - Welsing, R.
A1  - Wetteskind, H.
A1  - White, R.
A1  - Wierzcholska, A.
A1  - Wilkinson, M. I.
A1  - Williams, D. A.
A1  - Winde, M.
A1  - Wischnewski, R.
A1  - Wisniewski, L.
A1  - Wolczko, A.
A1  - Wood, M.
A1  - Xiong, Q.
A1  - Yamamoto, T.
A1  - Yamaoka, K.
A1  - Yamazaki, R.
A1  - Yanagita, S.
A1  - Yoffo, B.
A1  - Yonetani, M.
A1  - Yoshida, A.
A1  - Yoshida, T.
A1  - Yoshikoshi, T.
A1  - Zabalza, V.
A1  - Zagdanski, A.
A1  - Zajczyk, A.
A1  - Zdziarski, A.
A1  - Zech, Alraune
A1  - Zietara, K.
A1  - Ziolkowski, P.
A1  - Zitelli, V.
A1  - Zychowski, P.
T1  - Design concepts for the Cherenkov Telescope Array CTA an advanced facility for ground-based high-energy gamma-ray astronomy
JF  - Experimental astronomy : an international journal on astronomical instrumentation and data analysis
N2  - Ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes. Ground-based gamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. CTA is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100 GeV and above 100 TeV. CTA will consist of two arrays (one in the north, one in the south) for full sky coverage and will be operated as open observatory. The design of CTA is based on currently available technology. This document reports on the status and presents the major design concepts of CTA.
KW  - Ground based gamma ray astronomy
KW  - Next generation Cherenkov telescopes
KW  - Design concepts
Y1  - 2011
U6  - https://doi.org/10.1007/s10686-011-9247-0
SN  - 0922-6435
SN  - 1572-9508
VL  - 32
IS  - 3
SP  - 193
EP  - 316
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Charpinet, Stéphane
A1  - Brassard, P.
A1  - Fontaine, G.
A1  - Van Grootel, Valerie
A1  - Zong, Weika
A1  - Giammichele, N.
A1  - Heber, Ulrich
A1  - Bognár, Zsófia
A1  - Geier, Stephan Alfred
A1  - Green, Elizabeth M.
A1  - Hermes, J. J.
A1  - Kilkenny, D.
A1  - Ostensen, R. H.
A1  - Pelisoli, Ingrid Domingos
A1  - Silvotti, R.
A1  - Telting, J. H.
A1  - Vuckovic, Maja
A1  - Worters, H. L.
A1  - Baran, Andrzej S.
A1  - Bell, Keaton J.
A1  - Bradley, Paul A.
A1  - Debes, J. H.
A1  - Kawaler, S. D.
A1  - Kolaczek-Szymanski, P.
A1  - Murphy, S. J.
A1  - Pigulski, A.
A1  - Sodor, A.
A1  - Uzundag, Murat
A1  - Handberg, R.
A1  - Kjeldsen, H.
A1  - Ricker, G. R.
A1  - Vanderspek, R. K.
T1  - TESS first look at evolved compact pulsators Discovery and asteroseismic probing of the g-mode hot B subdwarf pulsator EC 21494-7018
JF  - Astronomy and astrophysics : an international weekly journal
N2  - Context. The TESS satellite was launched in 2018 to perform high-precision photometry from space over almost the whole sky in a search for exoplanets orbiting bright stars. This instrument has opened new opportunities to study variable hot subdwarfs, white dwarfs, and related compact objects. Targets of interest include white dwarf and hot subdwarf pulsators, both carrying high potential for asteroseismology. Aims. We present the discovery and detailed asteroseismic analysis of a new g-mode hot B subdwarf (sdB) pulsator, EC 21494-7018 (TIC 278659026), monitored in TESS first sector using 120-s cadence. Methods. The TESS light curve was analyzed with standard prewhitening techniques, followed by forward modeling using our latest generation of sdB models developed for asteroseismic investigations. By simultaneously best-matching all the observed frequencies with those computed from models, we identified the pulsation modes detected and, more importantly, we determined the global parameters and structural configuration of the star. Results. The light curve analysis reveals that EC 21494-7018 is a sdB pulsator counting up to 20 frequencies associated with independent g-modes. The seismic analysis singles out an optimal model solution in full agreement with independent measurements provided by spectroscopy (atmospheric parameters derived from model atmospheres) and astrometry (distance evaluated from Gaia DR2 trigonometric parallax). Several key parameters of the star are derived. Its mass (0.391 +/- 0.009x2006;M-circle dot) is significantly lower than the typical mass of sdB stars and suggests that its progenitor has not undergone the He-core flash; therefore this progenitor could originate from a massive (greater than or similar to 2;M-circle dot) red giant, which is an alternative channel for the formation of sdBs. Other derived parameters include the H-rich envelope mass (0.0037 +/- 0.0010;M-circle dot), radius (0.1694 +/- 0.0081;R-circle dot), and luminosity (8.2 +/- 1.1;L-circle dot). The optimal model fit has a double-layered He+H composition profile, which we interpret as an incomplete but ongoing process of gravitational settling of helium at the bottom of a thick H-rich envelope. Moreover, the derived properties of the core indicate that EC 21494-7018 has burnt similar to 43% (in mass) of its central helium and possesses a relatively large mixed core (M-core;=;0.198 +/- 0.010;M-circle dot), in line with trends already uncovered from other g-mode sdB pulsators analyzed with asteroseismology. Finally, we obtain for the first time an estimate of the amount of oxygen (in mass; X(O)(core) = 0.16(-0.05)(+0.13)X(O)core=0.16-0.05+0.13$ X(mathrm{O})_{mathrm{core}}=0.16_{-0.05}<^>{+0.13} $) produced at this stage of evolution by an helium-burning core. This result, along with the core-size estimate, is an interesting constraint that may help to narrow down the still uncertain C-12(alpha,;gamma)O-16 nuclear reaction rate.
KW  - asteroseismology
KW  - stars
KW  - interiors
KW  - oscillations
KW  - horizontal-branch
KW  - individual
KW  - TIC 278659026
KW  - subdwarfs
Y1  - 2019
U6  - https://doi.org/10.1051/0004-6361/201935395
SN  - 0004-6361
SN  - 1432-0746
VL  - 632
PB  - EDP Sciences
CY  - Les Ulis
ER  - 
TY  - JOUR
A1  - Vaid, Akhil
A1  - Somani, Sulaiman
A1  - Russak, Adam J.
A1  - De Freitas, Jessica K.
A1  - Chaudhry, Fayzan F.
A1  - Paranjpe, Ishan
A1  - Johnson, Kipp W.
A1  - Lee, Samuel J.
A1  - Miotto, Riccardo
A1  - Richter, Felix
A1  - Zhao, Shan
A1  - Beckmann, Noam D.
A1  - Naik, Nidhi
A1  - Kia, Arash
A1  - Timsina, Prem
A1  - Lala, Anuradha
A1  - Paranjpe, Manish
A1  - Golden, Eddye
A1  - Danieletto, Matteo
A1  - Singh, Manbir
A1  - Meyer, Dara
A1  - O'Reilly, Paul F.
A1  - Huckins, Laura
A1  - Kovatch, Patricia
A1  - Finkelstein, Joseph
A1  - Freeman, Robert M.
A1  - Argulian, Edgar
A1  - Kasarskis, Andrew
A1  - Percha, Bethany
A1  - Aberg, Judith A.
A1  - Bagiella, Emilia
A1  - Horowitz, Carol R.
A1  - Murphy, Barbara
A1  - Nestler, Eric J.
A1  - Schadt, Eric E.
A1  - Cho, Judy H.
A1  - Cordon-Cardo, Carlos
A1  - Fuster, Valentin
A1  - Charney, Dennis S.
A1  - Reich, David L.
A1  - Böttinger, Erwin
A1  - Levin, Matthew A.
A1  - Narula, Jagat
A1  - Fayad, Zahi A.
A1  - Just, Allan C.
A1  - Charney, Alexander W.
A1  - Nadkarni, Girish N.
A1  - Glicksberg, Benjamin S.
T1  - Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation
JF  - Journal of medical internet research : international scientific journal for medical research, information and communication on the internet ; JMIR
N2  - Background:
COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking.

Objective:
The aims of this study were to analyze the electronic health records (EHRs) of patients who tested positive for COVID-19 and were admitted to hospitals in the Mount Sinai Health System in New York City; to develop machine learning models for making predictions about the hospital course of the patients over clinically meaningful time horizons based on patient characteristics at admission; and to assess the performance of these models at multiple hospitals and time points. 

Methods:
We used Extreme Gradient Boosting (XGBoost) and baseline comparator models to predict in-hospital mortality and critical events at time windows of 3, 5, 7, and 10 days from admission. Our study population included harmonized EHR data from five hospitals in New York City for 4098 COVID-19-positive patients admitted from March 15 to May 22, 2020. The models were first trained on patients from a single hospital (n=1514) before or on May 1, externally validated on patients from four other hospitals (n=2201) before or on May 1, and prospectively validated on all patients after May 1 (n=383). Finally, we established model interpretability to identify and rank variables that drive model predictions.

Results:
Upon cross-validation, the XGBoost classifier outperformed baseline models, with an area under the receiver operating characteristic curve (AUC-ROC) for mortality of 0.89 at 3 days, 0.85 at 5 and 7 days, and 0.84 at 10 days. XGBoost also performed well for critical event prediction, with an AUC-ROC of 0.80 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. In external validation, XGBoost achieved an AUC-ROC of 0.88 at 3 days, 0.86 at 5 days, 0.86 at 7 days, and 0.84 at 10 days for mortality prediction. Similarly, the unimputed XGBoost model achieved an AUC-ROC of 0.78 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. Trends in performance on prospective validation sets were similar. At 7 days, acute kidney injury on admission, elevated LDH, tachypnea, and hyperglycemia were the strongest drivers of critical event prediction, while higher age, anion gap, and C-reactive protein were the strongest drivers of mortality prediction. 

Conclusions:
We externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons. These models identified at-risk patients and uncovered underlying relationships that predicted outcomes.
KW  - machine learning
KW  - COVID-19
KW  - electronic health record
KW  - TRIPOD
KW  - clinical
KW  - informatics
KW  - prediction
KW  - mortality
KW  - EHR
KW  - cohort
KW  - hospital
KW  - performance
Y1  - 2020
U6  - https://doi.org/10.2196/24018
SN  - 1439-4456
SN  - 1438-8871
VL  - 22
IS  - 11
PB  - Healthcare World
CY  - Richmond, Va.
ER  - 
TY  - JOUR
A1  - Rahmani, H.
A1  - Wendt, Martin
A1  - Srianand, R.
A1  - Noterdaeme, P.
A1  - Petitjean, P.
A1  - Molaro, P.
A1  - Whitmore, J. B.
A1  - Murphy, M. T.
A1  - Centurion, Martin
A1  - Fathivavsari, H.
A1  - D'Odorico, S.
A1  - Evans, T. M.
A1  - Levshakov, S. A.
A1  - Lopez, S.
A1  - Martins, C. J. A. P.
A1  - Reimers, D.
A1  - Vladilo, G.
T1  - The UVES large program for testing fundamental physics - II. Constraints on a change in mu towards quasar HE 0027-1836
JF  - Monthly notices of the Royal Astronomical Society
N2  - We present an accurate analysis of the H-2 absorption lines from the z(abs) similar to 2.4018 damped Ly alpha system towards HE 0027-1836 observed with the Very Large Telescope Ultraviolet and Visual Echelle Spectrograph (VLT/UVES) as a part of the European Southern Observatory Large Programme 'The UVES large programme for testing fundamental physics' to constrain the variation of proton-to-electron mass ratio, mu  m(p)/m(e). We perform cross-correlation analysis between 19 individual exposures taken over three years and the combined spectrum to check the wavelength calibration stability. We notice the presence of a possible wavelength-dependent velocity drift especially in the data taken in 2012. We use available asteroids spectra taken with UVES close to our observations to confirm and quantify this effect. We consider single-and two-component Voigt profiles to model the observed H-2 absorption profiles. We use both linear regression analysis and Voigt profile fitting where Delta mu/mu is explicitly considered as an additional fitting parameter. The two-component model is marginally favoured by the statistical indicators and we get Delta mu/mu = -2.5 +/- 8.1(stat) +/- 6.2(sys) ppm. When we apply the correction to the wavelength-dependent velocity drift, we find Delta mu/mu = -7.6 +/- 8.1(stat) +/- 6.3(sys) ppm. It will be important to check the extent to which the velocity drift we notice in this study is present in UVES data used for previous Delta mu/mu measurements.
KW  - intergalactic medium
KW  - quasars: absorption lines
KW  - quasars: individual: HE 0027-1836
Y1  - 2013
U6  - https://doi.org/10.1093/mnras/stt1356
SN  - 0035-8711
SN  - 1365-2966
VL  - 435
IS  - 1
SP  - 861
EP  - 878
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Molaro, P.
A1  - Centurion, Martin
A1  - Whitmore, J. B.
A1  - Evans, T. M.
A1  - Murphy, M. T.
A1  - Agafonova, I. I.
A1  - Bonifacio, P.
A1  - D'Odorico, S.
A1  - Levshakov, S. A.
A1  - Lopez, S.
A1  - Martins, C. J. A. P.
A1  - Petitjean, P.
A1  - Rahmani, H.
A1  - Reimers, D.
A1  - Srianand, R.
A1  - Vladilo, G.
A1  - Wendt, Martin
T1  - The UVES Large Program for testing fundamental physics I. Bounds on a change in alpha towards quasar HE 221-2818
JF  - Astronomy and astrophysics : an international weekly journal
N2  - Context. Absorption-line systems detected in quasar spectra can be used to compare the value of the fine-structure constant, alpha, measured today on Earth with its value in distant galaxies. In recent years, some evidence has emerged of small temporal and also spatial variations in alpha on cosmological scales. These variations may reach a fractional level of approximate to 10 ppm (parts per million).
 Aims. To test these claims we are conducting a Large Program of observations with the Very Large Telescope's Ultraviolet and Visual Echelle Spectrograph (UVES), and are obtaining high-resolution (R approximate to 60 000) and high signal-to-noise ratio (S/N approximate to 100) UVES spectra calibrated specifically for this purpose. Here we analyse the first complete quasar spectrum from this programme, that of HE 2217-2818.
 Methods. We applied the many multiplet method to measure alpha in five absorption systems towards this quasar: z(abs) = 0.7866, 0.9424, 1.5558, 1.6279, and 1.6919.
 Results. The most precise result is obtained for the absorber at z(abs) = 1.6919 where 3 Fe II transitions and Al II lambda 1670 have high S/N and provide a wide range of sensitivities to alpha. The absorption profile is complex with several very narrow features, and it requires 32 velocity components to be fitted to the data. We also conducted a range of tests to estimate the systematic error budget. Our final result for the relative variation in alpha in this system is Delta alpha/alpha = +1.3 +/- 2.4(stat) +/- 1.0(sys) ppm. This is one of the tightest current bounds on alpha-variation from an individual absorber. A second, separate approach to the data reduction, calibration, and analysis of this system yielded a slightly different result of -3.8 +/- 2.1(stat) ppm, possibly suggesting a larger systematic error component than our tests indicated. This approach used an additional 3 Fe II transitions, parts of which were masked due to contamination by telluric features. Restricting this analysis to the Fe II transitions alone and using a modified absorption profile model gave a result that is consistent with the first approach, Delta alpha/alpha = +1.1 +/- 2.6(stat) ppm. The four other absorbers have simpler absorption profiles, with fewer and broader features, and offer transitions with a narrower range of sensitivities to alpha. They therefore provide looser bounds on Delta alpha/alpha at the greater than or similar to 10 ppm precision level.
 Conclusions. The absorbers towards quasar HE 2217-2818 reveal no evidence of any variation in alpha at the 3-ppm precision level (1 sigma confidence). If the recently reported 10-ppm dipolar variation in alpha across the sky is correct, the expectation at this sky position is (3.2-5.4) +/- 1.7 ppm depending on dipole model used. Our constraint of Delta alpha/alpha = +1.3 +/- 2.4(stat) +/- 1.0(sys) ppm is not inconsistent with this expectation.
KW  - quasars: absorption lines
KW  - quasars: individual: HE 2217-2818
KW  - intergalactic medium
KW  - cosmology: miscellaneous cosmology
KW  - observations
Y1  - 2013
U6  - https://doi.org/10.1051/0004-6361/201321351
SN  - 0004-6361
VL  - 555
IS  - 4
PB  - EDP Sciences
CY  - Les Ulis
ER  - 
TY  - JOUR
A1  - Bonifacio, P.
A1  - Rahmani, H.
A1  - Whitmore, J. B.
A1  - Wendt, Martin
A1  - Centurion, Martin
A1  - Molaro, P.
A1  - Srianand, R.
A1  - Murphy, M. T.
A1  - Petitjean, P.
A1  - Agafonova, I. I.
A1  - Evans, T. M.
A1  - Levshakov, S. A.
A1  - Lopez, S.
A1  - Martins, C. J. A. P.
A1  - Reimers, D.
A1  - Vladilo, G.
T1  - Fundamental constants and high-resolution spectroscopy
JF  - Astronomische Nachrichten = Astronomical notes
KW  - atomic processes
KW  - cosmology: observations
KW  - elementary particles
KW  - line: formation
KW  - quasars: absorption lines
KW  - techniques: spectroscopic
Y1  - 2014
U6  - https://doi.org/10.1002/asna.201312005
SN  - 0004-6337
SN  - 1521-3994
VL  - 335
IS  - 1
SP  - 83
EP  - 91
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Rothwell, Joseph A.
A1  - Murphy, Neil
A1  - Aleksandrova, Krasimira
A1  - Schulze, Matthias B.
A1  - Bešević, Jelena
A1  - Kliemann, Nathalie
A1  - Jenab, Mazda
A1  - Ferrari, Pietro
A1  - Achaintre, David
A1  - Gicquiau, Audrey
A1  - Vozar, Béatrice
A1  - Scalbert, Augustin
A1  - Huybrechts, Inge
A1  - Freisling, Heinz
A1  - Prehn, Cornelia
A1  - Adamski, Jerzy
A1  - Cross, Amanda J.
A1  - Pala, Valeria Maria
A1  - Boutron-Ruault, Marie-Christine
A1  - Dahm, Christina C.
A1  - Overvad, Kim
A1  - Gram, Inger Torhild
A1  - Sandanger, Torkjel M.
A1  - Skeie, Guri
A1  - Jakszyn, Paula
A1  - Tsilidis, Kostas K.
A1  - Hughes, David J.
A1  - van Guelpen, Bethany
A1  - Bodén, Stina
A1  - Sánchez, Maria-José
A1  - Schmidt, Julie A.
A1  - Katzke, Verena
A1  - Kühn, Tilman
A1  - Colorado-Yohar, Sandra
A1  - Tumino, Rosario
A1  - Bueno-de-Mesquita, Bas
A1  - Vineis, Paolo
A1  - Masala, Giovanna
A1  - Panico, Salvatore
A1  - Eriksen, Anne Kirstine
A1  - Tjønneland, Anne
A1  - Aune, Dagfinn
A1  - Weiderpass, Elisabete
A1  - Severi, Gianluca
A1  - Chajès, Véronique
A1  - Gunter, Marc J.
T1  - Metabolic signatures of healthy lifestyle patterns and colorectal cancer risk in a European cohort
JF  - Clinical gastroenterology and hepatology
N2  - BACKGROUND & AIMS: Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort.

METHODS: Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression.

RESULTS: Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants.

CONCLUSIONS: Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer.
KW  - colorectal neoplasm
KW  - risk factors
KW  - World Cancer Research Fund/American Institute for Cancer Research Recommendations
KW  - targeted metabolomics
Y1  - 2020
U6  - https://doi.org/10.1016/j.cgh.2020.11.045
SN  - 1542-3565
SN  - 1542-7714
VL  - 20
SP  - E1061
EP  - E1082
PB  - Elsevier
CY  - New York, NY
ER  - 
TY  - JOUR
A1  - Chan, Lili
A1  - Jaladanki, Suraj K.
A1  - Somani, Sulaiman
A1  - Paranjpe, Ishan
A1  - Kumar, Arvind
A1  - Zhao, Shan
A1  - Kaufman, Lewis
A1  - Leisman, Staci
A1  - Sharma, Shuchita
A1  - He, John Cijiang
A1  - Murphy, Barbara
A1  - Fayad, Zahi A.
A1  - Levin, Matthew A.
A1  - Böttinger, Erwin
A1  - Charney, Alexander W.
A1  - Glicksberg, Benjamin
A1  - Coca, Steven G.
A1  - Nadkarni, Girish N.
T1  - Outcomes of patients on maintenance dialysis hospitalized with COVID-19
JF  - Clinical journal of the American Society of Nephrology : CJASN
KW  - chronic dialysis
KW  - COVID-19
KW  - end-stage kidney disease
Y1  - 2021
U6  - https://doi.org/10.2215/CJN.12360720
SN  - 1555-9041
SN  - 1555-905X
VL  - 16
IS  - 3
SP  - 452
EP  - 455
PB  - American Society of Nephrology
CY  - Washington
ER  - 
TY  - GEN
A1  - Higgs, Eric S.
A1  - Harris, Jim A.
A1  - Heger, Tina
A1  - Hobbs, Richard J.
A1  - Murphy, Stephen D.
A1  - Suding, Katharine N.
T1  - Keep ecological restoration open and flexible
T2  - Nature Ecology & Evolution
Y1  - 2018
U6  - https://doi.org/10.1038/s41559-018-0483-9
SN  - 2397-334X
VL  - 2
IS  - 4
SP  - 580
EP  - 580
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Evans, T. M.
A1  - Murphy, M. T.
A1  - Whitmore, J. B.
A1  - Misawa, T.
A1  - Centurion, Martin
A1  - Lopez, S.
A1  - Martins, C. J. A. P.
A1  - Molaro, P.
A1  - Petitjean, P.
A1  - Rahmani, H.
A1  - Srianand, R.
A1  - Wendt, Martin
T1  - The UVES Large Program for testing fundamental physics - III. Constraints on the fine-structure constant from three telescopes
JF  - Monthly notices of the Royal Astronomical Society
KW  - intergalactic medium
KW  - quasars: absorption lines
KW  - quasars: individual: HS 1549+1919
KW  - cosmology: miscellaneous
KW  - cosmology: observations
Y1  - 2014
U6  - https://doi.org/10.1093/mnras/stu1754
SN  - 0035-8711
SN  - 1365-2966
VL  - 445
IS  - 1
SP  - 128
EP  - 150
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Bouche, Nicolas
A1  - Finley, H.
A1  - Schroetter, I.
A1  - Murphy, M. T.
A1  - Richter, Philipp
A1  - Bacon, Roland
A1  - Contini, Thierry
A1  - Richard, J.
A1  - Wendt, Martin
A1  - Kamann, S.
A1  - Epinat, Benoit
A1  - Cantalupo, Sebastiano
A1  - Straka, Lorrie A.
A1  - Schaye, Joop
A1  - Martin, C. L.
A1  - Peroux, C.
A1  - Wisotzki, Lutz
A1  - Soto, K.
A1  - Lilly, S.
A1  - Carollo, C. M.
A1  - Brinchmann, Jarle
A1  - Kollatschny, W.
T1  - POSSIBLE SIGNATURES OF A COLD-FLOW DISK FROM MUSE USING A z similar to 1
GALAXY-QUASAR PAIR TOWARD SDSS J1422-0001
JF  - The astrophysical journal : an international review of spectroscopy and astronomical physics
N2  - We use a background quasar to detect the presence of circumgalactic gas around a z = 0.91 low-mass star-forming galaxy. Data from the new Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope show that the galaxy has a dust-corrected star formation rate (SFR) of 4.7 +/- 2.0. M-circle dot yr(-1), with no companion down to 0.22 M-circle dot yr(-1) (5 sigma) within 240 h(-1) kpc ("30"). Using a high-resolution spectrum of the background quasar, which is fortuitously aligned with the galaxy major axis (with an azimuth angle alpha of only 15 degrees), we find, in the gas kinematics traced by low-ionization lines, distinct signatures consistent with those expected for a "cold-flow disk" extending at least 12 kpc (3 x R-1/2). We estimate the mass accretion rate M-in to be at least two to three times larger than the SFR, using the geometric constraints from the IFU data and the H (I) column density of log N-H (I)/cm(-2) similar or equal to 20.4 obtained from a Hubble Space Telescope/COS near-UV spectrum. From a detailed analysis of the low-ionization lines (e.g., Zn II, Cr II, Ti II, MnII, Si II), the accreting material appears to be enriched to about 0.4 Z(circle dot) (albeit with large uncertainties: log Z/Z(circle dot) = -0.4 +/- 0.4), which is comparable to the galaxy metallicity (12 + log O/H = 8.7 +/- 0.2), implying a large recycling fraction from past outflows. Blueshifted Mg II and Fe II absorptions in the galaxy spectrum from the MUSE data reveal the presence of an outflow. The Mg II and Fe II absorption line ratios indicate emission infilling due to scattering processes, but the MUSE data do not show any signs of fluorescent Fe II* emission.
KW  - galaxies: evolution
KW  - galaxies: formation
KW  - intergalactic medium
KW  - quasars: individual (SDSS J142253.31-000149)
Y1  - 2016
U6  - https://doi.org/10.3847/0004-637X/820/2/121
SN  - 0004-637X
SN  - 1538-4357
VL  - 820
SP  - 1872
EP  - 1882
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - CHAP
A1  - Cassinelli, Joseph P.
A1  - Ignace, R.
A1  - Waldron, W.
A1  - Cho, J.
A1  - Murphy, N.
A1  - Lazarian, A.
T1  - X-ray line emission produced in clump bow shocks
N2  - We summarize Chandra observations of the emission line profiles from 17 OB stars. The lines tend to be broad and unshifted. The forbidden/intercombination line ratios arising from Helium-like ions provide radial distance information for the X-ray emission sources, while the H-like to He-like line ratios provide X-ray temperatures, and thus also source temperature versus radius distributions. OB stars usually show power law differential emission measure distributions versus temperature. In models of bow shocks, we find a power law differential emission measure, a wide range of ion stages, and the bow shock flow around the clumps provides transverse velocities comparable to HWHM values. We find that the bow shock results for the line profile properties, consistent with the observations of X-ray line emission for a broad range of OB star properties.
Y1  - 2007
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-18057
ER  - 
TY  - JOUR
A1  - Springer, Mark S.
A1  - Signore, Anthony V.
A1  - Paijmans, Johanna L. A.
A1  - Velez-Juarbe, Jorge
A1  - Domning, Daryl P.
A1  - Bauer, Cameron E.
A1  - He, Kai
A1  - Crerar, Lorelei
A1  - Campos, Paula F.
A1  - Murphy, William J.
A1  - Meredith, Robert W.
A1  - Gatesy, John
A1  - Willerslev, Eske
A1  - MacPhee, Ross D. E.
A1  - Hofreiter, Michael
A1  - Campbell, Kevin L.
T1  - Interordinal gene capture, the phylogenetic position of Steller's sea cow based on molecular and morphological data, and the macroevolutionary history of Sirenia
JF  - Molecular phylogenetics and evolution
N2  - The recently extinct (ca. 1768) Steller's sea cow (Hydrodamalis gigas) was a large, edentulous North Pacific sirenian. The phylogenetic affinities of this taxon to other members of this clade, living and extinct, are uncertain based on previous morphological and molecular studies. We employed hybridization capture methods and second generation sequencing technology to obtain >30 kb of exon sequences from 26 nuclear genes for both H. gigas and Dugong dugon. We also obtained complete coding sequences for the tooth-related enamelin (ENAM) gene. Hybridization probes designed using dugong and manatee sequences were both highly effective in retrieving sequences from H. gigas (mean = 98.8% coverage), as were more divergent probes for regions of ENAM (99.0% coverage) that were designed exclusively from a proboscidean (African elephant) and a hyracoid (Cape hyrax). New sequences were combined with available sequences for representatives of all other afrotherian orders. We also expanded a previously published morphological matrix for living and fossil Sirenia by adding both new taxa and nine new postcranial characters. Maximum likelihood and parsimony analyses of the molecular data provide robust support for an association of H. gigas and D. dugon to the exclusion of living trichechids (manatees). Parsimony analyses of the morphological data also support the inclusion of H. gigas in Dugongidae with D. dugon and fossil dugongids. Timetree analyses based on calibration density approaches with hard- and soft-bounded constraints suggest that H. gigas and D. dugon diverged in the Oligocene and that crown sirenians last shared a common ancestor in the Eocene. The coding sequence for the ENAM gene in H. gigas does not contain frameshift mutations or stop codons, but there is a transversion mutation (AG to CG) in the acceptor splice site of intron 2. This disruption in the edentulous Steller's sea cow is consistent with previous studies that have documented inactivating mutations in tooth-specific loci of a variety of edentulous and enamelless vertebrates including birds, turtles, aardvarks, pangolins, xenarthrans, and baleen whales. Further, branch-site dN/dS analyses provide evidence for positive selection in ENAM on the stem dugongid branch where extensive tooth reduction occurred, followed by neutral evolution on the Hydrodamalis branch. Finally, we present a synthetic evolutionary tree for living and fossil sirenians showing several key innovations in the history of this clade including character state changes that parallel those that occurred in the evolutionary history of cetaceans. (C) 2015 Elsevier Inc. All rights reserved.
Y1  - 2015
U6  - https://doi.org/10.1016/j.ympev.2015.05.022
SN  - 1055-7903
SN  - 1095-9513
VL  - 91
SP  - 178
EP  - 193
PB  - Elsevier
CY  - San Diego
ER  - 
TY  - JOUR
A1  - Chan, Lili
A1  - Chaudhary, Kumardeep
A1  - Saha, Aparna
A1  - Chauhan, Kinsuk
A1  - Vaid, Akhil
A1  - Zhao, Shan
A1  - Paranjpe, Ishan
A1  - Somani, Sulaiman
A1  - Richter, Felix
A1  - Miotto, Riccardo
A1  - Lala, Anuradha
A1  - Kia, Arash
A1  - Timsina, Prem
A1  - Li, Li
A1  - Freeman, Robert
A1  - Chen, Rong
A1  - Narula, Jagat
A1  - Just, Allan C.
A1  - Horowitz, Carol
A1  - Fayad, Zahi
A1  - Cordon-Cardo, Carlos
A1  - Schadt, Eric
A1  - Levin, Matthew A.
A1  - Reich, David L.
A1  - Fuster, Valentin
A1  - Murphy, Barbara
A1  - He, John C.
A1  - Charney, Alexander W.
A1  - Böttinger, Erwin
A1  - Glicksberg, Benjamin
A1  - Coca, Steven G.
A1  - Nadkarni, Girish N.
T1  - AKI in hospitalized patients with COVID-19
JF  - Journal of the American Society of Nephrology : JASN
N2  - Background:
Early reports indicate that AKI is common among patients with coronavirus disease 2019 (COVID-19) and associatedwith worse outcomes. However, AKI among hospitalized patients with COVID19 in the United States is not well described. 

Methods:
This retrospective, observational study involved a review of data from electronic health records of patients aged >= 18 years with laboratory-confirmed COVID-19 admitted to the Mount Sinai Health System from February 27 to May 30, 2020. We describe the frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios (aORs) with mortality. 

Results:
Of 3993 hospitalized patients with COVID-19, AKI occurred in 1835 (46%) patients; 347 (19%) of the patientswith AKI required dialysis. The proportionswith stages 1, 2, or 3 AKIwere 39%, 19%, and 42%, respectively. A total of 976 (24%) patients were admitted to intensive care, and 745 (76%) experienced AKI. Of the 435 patients with AKI and urine studies, 84% had proteinuria, 81% had hematuria, and 60% had leukocyturia. Independent predictors of severe AKI were CKD, men, and higher serum potassium at admission. In-hospital mortality was 50% among patients with AKI versus 8% among those without AKI (aOR, 9.2; 95% confidence interval, 7.5 to 11.3). Of survivors with AKI who were discharged, 35% had not recovered to baseline kidney function by the time of discharge. An additional 28 of 77 (36%) patients who had not recovered kidney function at discharge did so on posthospital follow-up. 

Conclusions:
AKI is common among patients hospitalized with COVID-19 and is associated with high mortality. Of all patients with AKI, only 30% survived with recovery of kidney function by the time of discharge.
KW  - acute renal failure
KW  - clinical nephrology
KW  - dialysis
KW  - COVID-19
Y1  - 2021
U6  - https://doi.org/10.1681/ASN.2020050615
SN  - 1046-6673
SN  - 1533-3450
VL  - 32
IS  - 1
SP  - 151
EP  - 160
PB  - American Society of Nephrology
CY  - Washington
ER  -