Author: "de Jong, J. T. A." - Searchworks@Jio Institute Digital Library Search Results

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193 results on '"de Jong, J. T. A."'

1. Euclid. I. Overview of the Euclid mission

Author: Euclid Collaboration, Mellier, Y., Abdurro'uf, Barroso, J. A. Acevedo, Achúcarro, A., Adamek, J., Adam, R., Addison, G. E., Aghanim, N., Aguena, M., Ajani, V., Akrami, Y., Al-Bahlawan, A., Alavi, A., Albuquerque, I. S., Alestas, G., Alguero, G., Allaoui, A., Allen, S. W., Allevato, V., Alonso-Tetilla, A. V., Altieri, B., Alvarez-Candal, A., Alvi, S., Amara, A., Amendola, L., Amiaux, J., Andika, I. T., Andreon, S., Andrews, A., Angora, G., Angulo, R. E., Annibali, F., Anselmi, A., Anselmi, S., Arcari, S., Archidiacono, M., Aricò, G., Arnaud, M., Arnouts, S., Asgari, M., Asorey, J., Atayde, L., Atek, H., Atrio-Barandela, F., Aubert, M., Aubourg, E., Auphan, T., Auricchio, N., Aussel, B., Aussel, H., Avelino, P. P., Avgoustidis, A., Avila, S., Awan, S., Azzollini, R., Baccigalupi, C., Bachelet, E., Bacon, D., Baes, M., Bagley, M. B., Bahr-Kalus, B., Balaguera-Antolinez, A., Balbinot, E., Balcells, M., Baldi, M., Baldry, I., Balestra, A., Ballardini, M., Ballester, O., Balogh, M., Bañados, E., Barbier, R., Bardelli, S., Baron, M., Barreiro, T., Barrena, R., Barriere, J. -C., Barros, B. J., Barthelemy, A., Bartolo, N., Basset, A., Battaglia, P., Battisti, A. J., Baugh, C. M., Baumont, L., Bazzanini, L., Beaulieu, J. -P., Beckmann, V., Belikov, A. N., Bel, J., Bellagamba, F., Bella, M., Bellini, E., Benabed, K., Bender, R., Benevento, G., Bennett, C. L., Benson, K., Bergamini, P., Bermejo-Climent, J. R., Bernardeau, F., Bertacca, D., Berthe, M., Berthier, J., Bethermin, M., Beutler, F., Bevillon, C., Bhargava, S., Bhatawdekar, R., Bianchi, D., Bisigello, L., Biviano, A., Blake, R. P., Blanchard, A., Blazek, J., Blot, L., Bosco, A., Bodendorf, C., Boenke, T., Böhringer, H., Boldrini, P., Bolzonella, M., Bonchi, A., Bonici, M., Bonino, D., Bonino, L., Bonvin, C., Bon, W., Booth, J. T., Borgani, S., Borlaff, A. S., Borsato, E., Bose, B., Botticella, M. T., Boucaud, A., Bouche, F., Boucher, J. S., Boutigny, D., Bouvard, T., Bouwens, R., Bouy, H., Bowler, R. A. A., Bozza, V., Bozzo, E., Branchini, E., Brando, G., Brau-Nogue, S., Brekke, P., Bremer, M. N., Brescia, M., Breton, M. -A., Brinchmann, J., Brinckmann, T., Brockley-Blatt, C., Brodwin, M., Brouard, L., Brown, M. L., Bruton, S., Bucko, J., Buddelmeijer, H., Buenadicha, G., Buitrago, F., Burger, P., Burigana, C., Busillo, V., Busonero, D., Cabanac, R., Cabayol-Garcia, L., Cagliari, M. S., Caillat, A., Caillat, L., Calabrese, M., Calabro, A., Calderone, G., Calura, F., Quevedo, B. Camacho, Camera, S., Campos, L., Canas-Herrera, G., Candini, G. P., Cantiello, M., Capobianco, V., Cappellaro, E., Cappelluti, N., Cappi, A., Caputi, K. I., Cara, C., Carbone, C., Cardone, V. F., Carella, E., Carlberg, R. G., Carle, M., Carminati, L., Caro, F., Carrasco, J. M., Carretero, J., Carrilho, P., Duque, J. Carron, Carry, B., Carvalho, A., Carvalho, C. S., Casas, R., Casas, S., Casenove, P., Casey, C. M., Cassata, P., Castander, F. J., Castelao, D., Castellano, M., Castiblanco, L., Castignani, G., Castro, T., Cavet, C., Cavuoti, S., Chabaud, P. -Y., Chambers, K. C., Charles, Y., Charlot, S., Chartab, N., Chary, R., Chaumeil, F., Cho, H., Chon, G., Ciancetta, E., Ciliegi, P., Cimatti, A., Cimino, M., Cioni, M. -R. L., Claydon, R., Cleland, C., Clément, B., Clements, D. L., Clerc, N., Clesse, S., Codis, S., Cogato, F., Colbert, J., Cole, R. E., Coles, P., Collett, T. E., Collins, R. S., Colodro-Conde, C., Colombo, C., Combes, F., Conforti, V., Congedo, G., Conseil, S., Conselice, C. J., Contarini, S., Contini, T., Conversi, L., Cooray, A. R., Copin, Y., Corasaniti, P. -S., Corcho-Caballero, P., Corcione, L., Cordes, O., Corpace, O., Correnti, M., Costanzi, M., Costille, A., Courbin, F., Mifsud, L. Courcoult, Courtois, H. M., Cousinou, M. -C., Covone, G., Cowell, T., Cragg, C., Cresci, G., Cristiani, S., Crocce, M., Cropper, M., Crouzet, P. E, Csizi, B., Cuby, J. -G., Cucchetti, E., Cucciati, O., Cuillandre, J. -C., Cunha, P. A. C., Cuozzo, V., Daddi, E., D'Addona, M., Dafonte, C., Dagoneau, N., Dalessandro, E., Dalton, G. B., D'Amico, G., Dannerbauer, H., Danto, P., Das, I., Da Silva, A., da Silva, R., Doumerg, W. d'Assignies, Daste, G., Davies, J. E., Davini, S., Dayal, P., de Boer, T., Decarli, R., De Caro, B., Degaudenzi, H., Degni, G., de Jong, J. T. A., de la Bella, L. F., de la Torre, S., Delhaise, F., Delley, D., Delucchi, G., De Lucia, G., Denniston, J., De Paolis, F., De Petris, M., Derosa, A., Desai, S., Desjacques, V., Despali, G., Desprez, G., De Vicente-Albendea, J., Deville, Y., Dias, J. D. F., Díaz-Sánchez, A., Diaz, J. J., Di Domizio, S., Diego, J. M., Di Ferdinando, D., Di Giorgio, A. M., Dimauro, P., Dinis, J., Dolag, K., Dolding, C., Dole, H., Sánchez, H. Domínguez, Doré, O., Dournac, F., Douspis, M., Dreihahn, H., Droge, B., Dryer, B., Dubath, F., Duc, P. -A., Ducret, F., Duffy, C., Dufresne, F., Duncan, C. A. J., Dupac, X., Duret, V., Durrer, R., Durret, F., Dusini, S., Ealet, A., Eggemeier, A., Eisenhardt, P. R. M., Elbaz, D., Elkhashab, M. Y., Ellien, A., Endicott, J., Enia, A., Erben, T., Vigo, J. A. Escartin, Escoffier, S., Sanz, I. Escudero, Essert, J., Ettori, S., Ezziati, M., Fabbian, G., Fabricius, M., Fang, Y., Farina, A., Farina, M., Farinelli, R., Farrens, S., Faustini, F., Feltre, A., Ferguson, A. M. N., Ferrando, P., Ferrari, A. G., Ferré-Mateu, A., Ferreira, P. G., Ferreras, I., Ferrero, I., Ferriol, S., Ferruit, P., Filleul, D., Finelli, F., Finkelstein, S. L., Finoguenov, A., Fiorini, B., Flentge, F., Focardi, P., Fonseca, J., Fontana, A., Fontanot, F., Fornari, F., Fosalba, P., Fossati, M., Fotopoulou, S., Fouchez, D., Fourmanoit, N., Frailis, M., Fraix-Burnet, D., Franceschi, E., Franco, A., Franzetti, P., Freihoefer, J., Frenk, C. . S., Frittoli, G., Frugier, P. -A., Frusciante, N., Fumagalli, A., Fumagalli, M., Fumana, M., Fu, Y., Gabarra, L., Galeotta, S., Galluccio, L., Ganga, K., Gao, H., García-Bellido, J., Garcia, K., Gardner, J. P., Garilli, B., Gaspar-Venancio, L. -M., Gasparetto, T., Gautard, V., Gavazzi, R., Gaztanaga, E., Genolet, L., Santos, R. Genova, Gentile, F., George, K., Gerbino, M., Ghaffari, Z., Giacomini, F., Gianotti, F., Gibb, G. P. S., Gillard, W., Gillis, B., Ginolfi, M., Giocoli, C., Girardi, M., Giri, S. K., Goh, L. W. K., Gómez-Alvarez, P., Gonzalez-Perez, V., Gonzalez, A. H., Gonzalez, E. J., Gonzalez, J. C., Beauchamps, S. Gouyou, Gozaliasl, G., Gracia-Carpio, J., Grandis, S., Granett, B. R., Granvik, M., Grazian, A., Gregorio, A., Grenet, C., Grillo, C., Grupp, F., Gruppioni, C., Gruppuso, A., Guerbuez, C., Guerrini, S., Guidi, M., Guillard, P., Gutierrez, C. M., Guttridge, P., Guzzo, L., Gwyn, S., Haapala, J., Haase, J., Haddow, C. R., Hailey, M., Hall, A., Hall, D., Hamaus, N., Haridasu, B. S., Harnois-Déraps, J., Harper, C., Hartley, W. G., Hasinger, G., Hassani, F., Hatch, N. A., Haugan, S. V. H., Häußler, B., Heavens, A., Heisenberg, L., Helmi, A., Helou, G., Hemmati, S., Henares, K., Herent, O., Hernández-Monteagudo, C., Heuberger, T., Hewett, P. C., Heydenreich, S., Hildebrandt, H., Hirschmann, M., Hjorth, J., Hoar, J., Hoekstra, H., Holland, A. D., Holliman, M. S., Holmes, W., Hook, I., Horeau, B., Hormuth, F., Hornstrup, A., Hosseini, S., Hu, D., Hudelot, P., Hudson, M. J., Huertas-Company, M., Huff, E. M., Hughes, A. C. N., Humphrey, A., Hunt, L. K., Huynh, D. D., Ibata, R., Ichikawa, K., Iglesias-Groth, S., Ilbert, O., Ilić, S., Ingoglia, L., Iodice, E., Israel, H., Israelsson, U. E., Izzo, L., Jablonka, P., Jackson, N., Jacobson, J., Jafariyazani, M., Jahnke, K., Jain, B., Jansen, H., Jarvis, M. J., Jasche, J., Jauzac, M., Jeffrey, N., Jhabvala, M., Jimenez-Teja, Y., Muñoz, A. Jimenez, Joachimi, B., Johansson, P. H., Joudaki, S., Jullo, E., Kajava, J. J. E., Kang, Y., Kannawadi, A., Kansal, V., Karagiannis, D., Kärcher, M., Kashlinsky, A., Kazandjian, M. V., Keck, F., Keihänen, E., Kerins, E., Kermiche, S., Khalil, A., Kiessling, A., Kiiveri, K., Kilbinger, M., Kim, J., King, R., Kirkpatrick, C. C., Kitching, T., Kluge, M., Knabenhans, M., Knapen, J. H., Knebe, A., Kneib, J. -P., Kohley, R., Koopmans, L. V. E., Koskinen, H., Koulouridis, E., Kou, R., Kovács, A., Kovačić, I., Kowalczyk, A., Koyama, K., Kraljic, K., Krause, O., Kruk, S., Kubik, B., Kuchner, U., Kuijken, K., Kümmel, M., Kunz, M., Kurki-Suonio, H., Lacasa, F., Lacey, C. G., La Franca, F., Lagarde, N., Lahav, O., Laigle, C., La Marca, A., La Marle, O., Lamine, B., Lam, M. C., Lançon, A., Landt, H., Langer, M., Lapi, A., Larcheveque, C., Larsen, S. S., Lattanzi, M., Laudisio, F., Laugier, D., Laureijs, R., Laurent, V., Lavaux, G., Lawrenson, A., Lazanu, A., Lazeyras, T., Boulc'h, Q. Le, Brun, A. M. C. Le, Brun, V. Le, Leclercq, F., Lee, S., Graet, J. Le, Legrand, L., Leirvik, K. N., Jeune, M. Le, Lembo, M., Mignant, D. Le, Lepinzan, M. D., Lepori, F., Reun, A. Le, Leroy, G., Lesci, G. F., Lesgourgues, J., Leuzzi, L., Levi, M. E., Liaudat, T. I., Libet, G., Liebing, P., Ligori, S., Lilje, P. B., Lin, C. -C., Linde, D., Linder, E., Lindholm, V., Linke, L., Li, S. -S., Liu, S. J., Lloro, I., Lobo, F. S. N., Lodieu, N., Lombardi, M., Lombriser, L., Lonare, P., Longo, G., López-Caniego, M., Lopez, X. Lopez, Alvarez, J. Lorenzo, Loureiro, A., Loveday, J., Lusso, E., Macias-Perez, J., Maciaszek, T., Maggio, G., Magliocchetti, M., Magnard, F., Magnier, E. A., Magro, A., Mahler, G., Mainetti, G., Maino, D., Maiorano, E., Malavasi, N., Mamon, G. A., Mancini, C., Mandelbaum, R., Manera, M., Manjón-García, A., Mannucci, F., Mansutti, O., Outeiro, M. Manteiga, Maoli, R., Maraston, C., Marcin, S., Marcos-Arenal, P., Margalef-Bentabol, B., Marggraf, O., Marinucci, D., Marinucci, M., Markovic, K., Marleau, F. R., Marpaud, J., Martignac, J., Martín-Fleitas, J., Martin-Moruno, P., Martin, E. L., Martinelli, M., Martinet, N., Martin, H., Martins, C. J. A. P., Marulli, F., Massari, D., Massey, R., Masters, D. C., Matarrese, S., Matsuoka, Y., Matthew, S., Maughan, B. J., Mauri, N., Maurin, L., Maurogordato, S., McCarthy, K., McConnachie, A. W., McCracken, H. J., McDonald, I., McEwen, J. D., McPartland, C. J. R., Medinaceli, E., Mehta, V., Mei, S., Melchior, M., Melin, J. -B., Ménard, B., Mendes, J., Mendez-Abreu, J., Meneghetti, M., Mercurio, A., Merlin, E., Metcalf, R. B., Meylan, G., Migliaccio, M., Mignoli, M., Miller, L., Miluzio, M., Milvang-Jensen, B., Mimoso, J. P., Miquel, R., Miyatake, H., Mobasher, B., Mohr, J. J., Monaco, P., Monguió, M., Montoro, A., Mora, A., Dizgah, A. Moradinezhad, Moresco, M., Moretti, C., Morgante, G., Morisset, N., Moriya, T. J., Morris, P. W., Mortlock, D. J., Moscardini, L., Mota, D. F., Mottet, S., Moustakas, L. A., Moutard, T., Müller, T., Munari, E., Murphree, G., Murray, C., Murray, N., Musi, P., Nadathur, S., Nagam, B. C., Nagao, T., Naidoo, K., Nakajima, R., Nally, C., Natoli, P., Navarro-Alsina, A., Girones, D. Navarro, Neissner, C., Nersesian, A., Nesseris, S., Nguyen-Kim, H. N., Nicastro, L., Nichol, R. C., Nielbock, M., Niemi, S. -M., Nieto, S., Nilsson, K., Noller, J., Norberg, P., Nouri-Zonoz, A., Ntelis, P., Nucita, A. A., Nugent, P., Nunes, N. J., Nutma, T., Ocampo, I., Odier, J., Oesch, P. A., Oguri, M., Oliveira, D. Magalhaes, Onoue, M., Oosterbroek, T., Oppizzi, F., Ordenovic, C., Osato, K., Pacaud, F., Pace, F., Padilla, C., Paech, K., Pagano, L., Page, M. J., Palazzi, E., Paltani, S., Pamuk, S., Pandolfi, S., Paoletti, D., Paolillo, M., Papaderos, P., Pardede, K., Parimbelli, G., Parmar, A., Partmann, C., Pasian, F., Passalacqua, F., Paterson, K., Patrizii, L., Pattison, C., Paulino-Afonso, A., Paviot, R., Peacock, J. A., Pearce, F. R., Pedersen, K., Peel, A., Peletier, R. F., Ibanez, M. Pellejero, Pello, R., Penny, M. T., Percival, W. J., Perez-Garrido, A., Perotto, L., Pettorino, V., Pezzotta, A., Pezzuto, S., Philippon, A., Pierre, M., Piersanti, O., Pietroni, M., Piga, L., Pilo, L., Pires, S., Pisani, A., Pizzella, A., Pizzuti, L., Plana, C., Polenta, G., Pollack, J. E., Poncet, M., Pöntinen, M., Pool, P., Popa, L. A., Popa, V., Popp, J., Porciani, C., Porth, L., Potter, D., Poulain, M., Pourtsidou, A., Pozzetti, L., Prandoni, I., Pratt, G. W., Prezelus, S., Prieto, E., Pugno, A., Quai, S., Quilley, L., Racca, G. D., Raccanelli, A., Rácz, G., Radinović, S., Radovich, M., Ragagnin, A., Ragnit, U., Raison, F., Ramos-Chernenko, N., Ranc, C., Rasera, Y., Raylet, N., Rebolo, R., Refregier, A., Reimberg, P., Reiprich, T. H., Renk, F., Renzi, A., Retre, J., Revaz, Y., Reylé, C., Reynolds, L., Rhodes, J., Ricci, F., Ricci, M., Riccio, G., Ricken, S. O., Rissanen, S., Risso, I., Rix, H. -W., Robin, A. C., Rocca-Volmerange, B., Rocci, P. -F., Rodenhuis, M., Rodighiero, G., Monroy, M. Rodriguez, Rollins, R. P., Romanello, M., Roman, J., Romelli, E., Romero-Gomez, M., Roncarelli, M., Rosati, P., Rosset, C., Rossetti, E., Roster, W., Rottgering, H. J. A., Rozas-Fernández, A., Ruane, K., Rubino-Martin, J. A., Rudolph, A., Ruppin, F., Rusholme, B., Sacquegna, S., Sáez-Casares, I., Saga, S., Saglia, R., Sahlén, M., Saifollahi, T., Sakr, Z., Salvalaggio, J., Salvaterra, R., Salvati, L., Salvato, M., Salvignol, J. -C., Sánchez, A. G., Sanchez, E., Sanders, D. B., Sapone, D., Saponara, M., Sarpa, E., Sarron, F., Sartori, S., Sartoris, B., Sassolas, B., Sauniere, L., Sauvage, M., Sawicki, M., Scaramella, R., Scarlata, C., Scharré, L., Schaye, J., Schewtschenko, J. A., Schindler, J. -T., Schinnerer, E., Schirmer, M., Schmidt, F., Schmidt, M., Schneider, A., Schneider, M., Schneider, P., Schöneberg, N., Schrabback, T., Schultheis, M., Schulz, S., Schuster, N., Schwartz, J., Sciotti, D., Scodeggio, M., Scognamiglio, D., Scott, D., Scottez, V., Secroun, A., Sefusatti, E., Seidel, G., Seiffert, M., Sellentin, E., Selwood, M., Semboloni, E., Sereno, M., Serjeant, S., Serrano, S., Setnikar, G., Shankar, F., Sharples, R. M., Short, A., Shulevski, A., Shuntov, M., Sias, M., Sikkema, G., Silvestri, A., Simon, P., Sirignano, C., Sirri, G., Skottfelt, J., Slezak, E., Sluse, D., Smith, G. P., Smith, L. C., Smith, R. E., Smit, S. J. A., Soldano, F., Solheim, B. G. B., Sorce, J. G., Sorrenti, F., Soubrie, E., Spinoglio, L., Mancini, A. Spurio, Stadel, J., Stagnaro, L., Stanco, L., Stanford, S. A., Starck, J. -L., Stassi, P., Steinwagner, J., Stern, D., Stone, C., Strada, P., Strafella, F., Stramaccioni, D., Surace, C., Sureau, F., Suyu, S. H., Swindells, I., Szafraniec, M., Szapudi, I., Taamoli, S., Talia, M., Tallada-Crespí, P., Tanidis, K., Tao, C., Tarrío, P., Tavagnacco, D., Taylor, A. N., Taylor, J. E., Taylor, P. L., Teixeira, E. M., Tenti, M., Idiago, P. Teodoro, Teplitz, H. I., Tereno, I., Tessore, N., Testa, V., Testera, G., Tewes, M., Teyssier, R., Theret, N., Thizy, C., Thomas, P. D., Toba, Y., Toft, S., Toledo-Moreo, R., Tolstoy, E., Tommasi, E., Torbaniuk, O., Torradeflot, F., Tortora, C., Tosi, S., Tosti, S., Trifoglio, M., Troja, A., Trombetti, T., Tronconi, A., Tsedrik, M., Tsyganov, A., Tucci, M., Tutusaus, I., Uhlemann, C., Ulivi, L., Urbano, M., Vacher, L., Vaillon, L., Valageas, P., Valdes, I., Valentijn, E. A., Valenziano, L., Valieri, C., Valiviita, J., Broeck, M. Van den, Vassallo, T., Vavrek, R., Vega-Ferrero, J., Venemans, B., Venhola, A., Ventura, S., Kleijn, G. Verdoes, Vergani, D., Verma, A., Vernizzi, F., Veropalumbo, A., Verza, G., Vescovi, C., Vibert, D., Viel, M., Vielzeuf, P., Viglione, C., Viitanen, A., Villaescusa-Navarro, F., Vinciguerra, S., Visticot, F., Voggel, K., von Wietersheim-Kramsta, M., Vriend, W. J., Wachter, S., Walmsley, M., Walth, G., Walton, D. M., Walton, N. A., Wander, M., Wang, L., Wang, Y., Weaver, J. R., Weller, J., Wetzstein, M., Whalen, D. J., Whittam, I. H., Widmer, A., Wiesmann, M., Wilde, J., Williams, O. R., Winther, H. -A., Wittje, A., Wong, J. H. W., Wright, A. H., Yankelevich, V., Yeung, H. W., Yoon, M., Youles, S., Yung, L. Y. A., Zacchei, A., Zalesky, L., Zamorani, G., Vitorelli, A. Zamorano, Marc, M. Zanoni, Zennaro, M., Zerbi, F. M., Zinchenko, I. A., Zoubian, J., Zucca, E., and Zumalacarregui, M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Euclid is a medium-class mission in the Cosmic Vision 2015-2025 programme of the European Space Agency (ESA) that will provide high-resolution optical imaging, as well as near-infrared imaging and spectroscopy, over about 14,000 deg^2 of extragalactic sky. In addition to accurate weak lensing and clustering measurements that probe structure formation over half of the age of the Universe, its primary probes for cosmology, these exquisite data will enable a wide range of science. This paper provides a high-level overview of the mission, summarising the survey characteristics, the various data-processing steps, and data products. We also highlight the main science objectives and expected performance., Comment: Accepted for publication in the A&A special issue`Euclid on Sky'
Published: 2024

2. Object classification with Convolutional Neural Networks: from KiDS to Euclid

Author: Kleijn, G. A. Verdoes, Marocico, C. A., Mzayek, Y., Pöntinen, M., Granvik, M., Williams, O., de Jong, J. T. A., Saifollahi, T., Wang, L., Margalef-Bentabol, B., La Marca, A., Nagam, B. Chowdhary, Koopmans, L. V. E., and Valentijn, E. A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Large-scale imaging surveys have grown about 1000 times faster than the number of astronomers in the last 3 decades. Using Artificial Intelligence instead of astronomer's brains for interpretative tasks allows astronomers to keep up with the data. We give a progress report on using Convolutional Neural Networks (CNNs) to classify three classes of rare objects (galaxy mergers, strong gravitational lenses and asteroids) in the Kilo-Degree Survey (KiDS) and the Euclid Survey., Comment: ADASS XXXII - 2022, Victoria, Conference Proceedings
Published: 2024

3. DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys

Author: Survey, Dark Energy, Collaboration, Kilo-Degree Survey, Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Asgari, M., Avila, S., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bertin, E., Bilicki, M., Blazek, J., Bocquet, S., Brooks, D., Burger, P., Burke, D. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Cordero, J., Crocce, M., da Costa, L. N., Pereira, M. E. da Silva, Dalal, R., Davis, C., de Jong, J. T. A., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Dvornik, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Giblin, B., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hartley, W. G., Herner, K., Heymans, C., Hildebrandt, H., Hinton, S. R., Hoekstra, H., Hollowood, D. L., Honscheid, K., Huang, H., Huff, E. M., Huterer, D., James, D. J., Jarvis, M., Jeffrey, N., Jeltema, T., Joachimi, B., Joudaki, S., Kannawadi, A., Krause, E., Kuehn, K., Kuijken, K., Kuropatkin, N., Lahav, O., Leget, P. -F., Lemos, P., Li, S. -S., Li, X., Liddle, A. R., Lima, M., Lin, C. -A, Lin, H., MacCrann, N., Mahony, C., Marshall, J. L., McCullough, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Napolitano, N., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Park, Y., Paterno, M., Peacock, J. A., Petravick, D., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Radovich, M., Raveri, M., Reischke, R., Robertson, N. C., Rollins, R. P., Romer, A. K., Roodman, A., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Sanchez, J., Schneider, P., Secco, L. F., Sevilla-Noarbe, I., Shan, H. -Y., Sheldon, E., Shin, T., Sifón, C., Smith, M., Soares-Santos, M., Stölzner, B., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tröster, T., Tutusaus, I., Busch, J. L. van den, Varga, T. N., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wiseman, P., Wright, A. H., Yanny, B., Yin, B., Yoon, M., Zhang, Y., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find consistent cosmological parameter constraints between DES Y3 and KiDS-1000 which, when combined in a joint-survey analysis, constrain the parameter $S_8 = \sigma_8 \sqrt{\Omega_{\rm m}/0.3}$ with a mean value of $0.790^{+0.018}_{-0.014}$. The mean marginal is lower than the maximum a posteriori estimate, $S_8=0.801$, owing to skewness in the marginal distribution and projection effects in the multi-dimensional parameter space. Our results are consistent with $S_8$ constraints from observations of the cosmic microwave background by Planck, with agreement at the $1.7\sigma$ level. We use a Hybrid analysis pipeline, defined from a mock survey study quantifying the impact of the different analysis choices originally adopted by each survey team. We review intrinsic alignment models, baryon feedback mitigation strategies, priors, samplers and models of the non-linear matter power spectrum., Comment: 40 pages, 21 figures, 15 tables, accepted Open Journal of Astrophysics. Download the chains from https://des.ncsa.illinois.edu/releases/y3a2/Y3key-joint-des-kids or create your own chains with CosmoSIS using https://github.com/joezuntz/cosmosis-standard-library/blob/main/examples/des-y3_and_kids-1000.ini Watch the core team discuss this analysis at https://cosmologytalks.com/2023/05/26/des-kids
Published: 2023
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4. KiDS-1000 catalogue: Redshift distributions and their calibration

Author: Hildebrandt, H., Busch, J. L. van den, Wright, A. H., Blake, C., Joachimi, B., Kuijken, K., Tröster, T., Asgari, M., Bilicki, M., de Jong, J. T. A., Dvornik, A., Erben, T., Getman, F., Giblin, B., Heymans, C., Kannawadi, A., Lin, C. -A., and Shan, H. -Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We present redshift distribution estimates of galaxies selected from the fourth data release of the Kilo-Degree Survey over an area of $\sim1000$ deg$^2$ (KiDS-1000). These redshift distributions represent one of the crucial ingredients for weak gravitational lensing measurements with the KiDS-1000 data. The primary estimate is based on deep spectroscopic reference catalogues that are re-weighted with the help of a self-organising map (SOM) to closely resemble the KiDS-1000 sources, split into five tomographic redshift bins in the photometric redshift range $0.1
Published: 2020
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5. The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees

Author: Kuijken, K., Heymans, C., Dvornik, A., Hildebrandt, H., de Jong, J. T. A., Wright, A. H., Erben, T., Bilicki, M., Giblin, B., Shan, H. -Y., Getman, F., Grado, A., Hoekstra, H., Miller, L., Napolitano, N., Paolilo, M., Radovich, M., Schneider, P., Sutherland, W., Tewes, M., Tortora, C., Valentijn, E. A., and Kleijn, G. A. Verdoes
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Kilo-Degree Survey (KiDS) is an ongoing optical wide-field imaging survey with the OmegaCAM camera at the VLT Survey Telescope, specifically designed for measuring weak gravitational lensing by galaxies and large-scale structure. When completed it will consist of 1350 square degrees imaged in four filters (ugri). Here we present the fourth public data release which more than doubles the area of sky covered by data release 3. We also include aperture-matched ZYJHKs photometry from our partner VIKING survey on the VISTA telescope in the photometry catalogue. We illustrate the data quality and describe the catalogue content. Two dedicated pipelines are used for the production of the optical data. The Astro-WISE information system is used for the production of co-added images in the four survey bands, while a separate reduction of the r-band images using the theli pipeline is used to provide a source catalogue suitable for the core weak lensing science case. All data have been re-reduced for this data release using the latest versions of the pipelines. The VIKING photometry is obtained as forced photometry on the theli sources, using a re-reduction of the VIKING data that starts from the VISTA pawprints. Modifications to the pipelines with respect to earlier releases are described in detail. The photometry is calibrated to the Gaia DR2 G band using stellar locus regression. In this data release a total of 1006 square-degree survey tiles with stacked ugri images are made available, accompanied by weight maps, masks, and single-band source lists. We also provide a multi-band catalogue based on r-band detections, including homogenized photometry and photometric redshifts, for the whole dataset. Mean limiting magnitudes (5 sigma in a 2" aperture) are 24.23, 25.12, 25.02, 23.68 in ugri, respectively, and the mean r-band seeing is 0.70"., Comment: 25 pages, accepted for publication in Astronomy and Astrophysics. For access to the images and catalogues see http://kids.strw.leidenuniv.nl/DR4/
Published: 2019
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6. KiDS+VIKING-450: Cosmic shear tomography with optical+infrared data

Author: Hildebrandt, H., Köhlinger, F., Busch, J. L. van den, Joachimi, B., Heymans, C., Kannawadi, A., Wright, A. H., Asgari, M., Blake, C., Hoekstra, H., Joudaki, S., Kuijken, K., Miller, L., Morrison, C. B., Tröster, T., Amon, A., Archidiacono, M., Brieden, S., Choi, A., de Jong, J. T. A., Erben, T., Giblin, B., Mead, A., Peacock, J. A., Radovich, M., Schneider, P., Sifón, C., and Tewes, M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a tomographic cosmic shear analysis of the Kilo-Degree Survey (KiDS) combined with the VISTA Kilo-Degree Infrared Galaxy Survey (VIKING). This is the first time that a full optical to near-infrared data set has been used for a wide-field cosmological weak lensing experiment. This unprecedented data, spanning $450~$deg$^2$, allows us to improve significantly the estimation of photometric redshifts, such that we are able to include robustly higher-redshift sources for the lensing measurement, and - most importantly - solidify our knowledge of the redshift distributions of the sources. Based on a flat $\Lambda$CDM model we find $S_8\equiv\sigma_8\sqrt{\Omega_{\rm m}/0.3}=0.737_{-0.036}^{+0.040}$ in a blind analysis from cosmic shear alone. The tension between KiDS cosmic shear and the Planck-Legacy CMB measurements remains in this systematically more robust analysis, with $S_8$ differing by $2.3\sigma$. This result is insensitive to changes in the priors on nuisance parameters for intrinsic alignment, baryon feedback, and neutrino mass. KiDS shear measurements are calibrated with a new, more realistic set of image simulations and no significant B-modes are detected in the survey, indicating that systematic errors are under control. When calibrating our redshift distributions by assuming the 30-band COSMOS-2015 photometric redshifts are correct (following the Dark Energy Survey and the Hyper Suprime-Cam Survey), we find the tension with Planck is alleviated. The robust determination of source redshift distributions remains one of the most challenging aspects for future cosmic shear surveys., Comment: 31 pages, 14 figures, accepted for publication by A&A; data products available at http://kids.strw.leidenuniv.nl
Published: 2018
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7. LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks

Author: Petrillo, C. E., Tortora, C., Vernardos, G., Koopmans, L. V. E., Kleijn, G. Verdoes, Bilicki, M., Napolitano, N. R., Chatterjee, S., Covone, G., Dvornik, A., Erben, T., Getman, F., Giblin, B., Heymans, C., de Jong, J. T. A., Kuijken, K., Schneider, P., Shan, H., Spiniello, C., and Wright, A. H.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses in the Kilo-Degree Survey" (LinKS) sample. We apply two Convolutional Neural Networks (ConvNets) to $\sim88\,000$ colour-magnitude selected luminous red galaxies yielding a list of 3500 strong-lens candidates. This list is further down-selected via human inspection. The resulting LinKS sample is composed of 1983 rank-ordered targets classified as "potential lens candidates" by at least one inspector. Of these, a high-grade subsample of 89 targets is identified with potential strong lenses by all inspectors. Additionally, we present a collection of another 200 strong lens candidates discovered serendipitously from various previous ConvNet runs. A straightforward application of our procedure to future Euclid or LSST data can select a sample of $\sim3000$ lens candidates with less than 10 per cent expected false positives and requiring minimal human intervention., Comment: 19 pages, 11 figures, accepted for publication in MNRAS
Published: 2018
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8. The galaxy environment in GAMA G3C groups using the Kilo Degree Survey Data Release 3

Author: Costa-Duarte, M. V., Viola, M., Molino, A., Kuijken, K., Sodré Jr., L., Bilicki, M., Brouwer, M. M., Buddelmeijer, H., Getman, F., Grado, A., de Jong, J. T. A., Kleijn, G. V., Napolitano, N., Puddu, E., Radovich, M., and Vakili, M.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We aim to investigate the galaxy environment in GAMA Galaxy Groups Catalogue (G3C) using a volume-limited galaxy sample from the Kilo Degree Survey Data Release 3. The k-Nearest Neighbour technique is adapted to take into account the probability density functions (PDFs) of photometric redshifts in our calculations. This algorithm was tested on simulated KiDS tiles, showing its capability of recovering the relation between galaxy colour, luminosity and local environment. The characterization of the galaxy environment in G3C groups shows systematically steeper density contrasts for more massive groups. The red galaxy fraction gradients in these groups is evident for most of group mass bins. The density contrast of red galaxies is systematically higher at group centers when compared to blue galaxy ones. In addition, distinct group center definitions are used to show that our results are insensitive to center definitions. These results confirm the galaxy evolution scenario which environmental mechanisms are responsible for a slow quenching process as galaxies fall into groups and clusters, resulting in a smooth observed colour gradients in galaxy systems., Comment: 14 pages, Accepted to MNRAS
Published: 2017
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9. Mining the Kilo-Degree Survey for solar system objects

Author: Mahlke, M., Bouy, H., Altieri, B., Kleijn, G. Verdoes, Carry, B., Bertin, E., de Jong, J. T. A., Kuijken, K., McFarland, J., and Valentijn, E.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract: The search for minor bodies in the solar system promises insights into its formation history. Wide imaging surveys offer the opportunity to serendipitously discover and identify these traces of planetary formation and evolution. We aim to present a method to acquire position, photometry, and proper motion measurements of solar system objects in surveys using dithered image sequences. The application of this method on the Kilo-Degree Survey is demonstrated. Optical images of 346 square degree fields of the sky are searched in up to four filters using the AstrOmatic software suite to reduce the pixel to catalog data. The solar system objects within the acquired sources are selected based on a set of criteria depending on their number of observation, motion, and size. The Virtual Observatory SkyBoT tool is used to identify known objects. We observed 20,221 SSO candidates, with an estimated false-positive content of less than 0.05%. Of these SSO candidates, 53.4% are identified by SkyBoT. KiDS can detect previously unknown SSOs because of its depth and coverage at high ecliptic latitude, including parts of the Southern Hemisphere. Thus we expect the large fraction of the 46.6% of unidentified objects to be truly new SSOs. Our method is applicable to a variety of dithered surveys such as DES, LSST, and Euclid. It offers a quick and easy-to-implement search for solar system objects. SkyBoT can then be used to estimate the completeness of the recovered sample., Comment: Final version to be published in A&A. Supplementary data will be published at CDS. 11 pages, 15 figures
Published: 2017
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10. Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks

Author: Bilicki, M., Hoekstra, H., Brown, M. J. I., Amaro, V., Blake, C., Cavuoti, S., de Jong, J. T. A., Georgiou, C., Hildebrandt, H., Wolf, C., Amon, A., Brescia, M., Brough, S., Costa-Duarte, M. V., Erben, T., Glazebrook, K., Grado, A., Heymans, C., Jarrett, T., Joudaki, S., Kuijken, K., Longo, G., Napolitano, N., Parkinson, D., Vellucci, C., Kleijn, G. A. Verdoes, and Wang, L.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We present a machine-learning photometric redshift analysis of the Kilo-Degree Survey Data Release 3, using two neural-network based techniques: ANNz2 and MLPQNA. Despite limited coverage of spectroscopic training sets, these ML codes provide photo-zs of quality comparable to, if not better than, those from the BPZ code, at least up to zphot<0.9 and r<23.5. At the bright end of r<20, where very complete spectroscopic data overlapping with KiDS are available, the performance of the ML photo-zs clearly surpasses that of BPZ, currently the primary photo-z method for KiDS. Using the Galaxy And Mass Assembly (GAMA) spectroscopic survey as calibration, we furthermore study how photo-zs improve for bright sources when photometric parameters additional to magnitudes are included in the photo-z derivation, as well as when VIKING and WISE infrared bands are added. While the fiducial four-band ugri setup gives a photo-z bias $\delta z=-2e-4$ and scatter $\sigma_z<0.022$ at mean z = 0.23, combining magnitudes, colours, and galaxy sizes reduces the scatter by ~7% and the bias by an order of magnitude. Once the ugri and IR magnitudes are joined into 12-band photometry spanning up to 12 $\mu$, the scatter decreases by more than 10% over the fiducial case. Finally, using the 12 bands together with optical colours and linear sizes gives $\delta z<4e-5$ and $\sigma_z<0.019$. This paper also serves as a reference for two public photo-z catalogues accompanying KiDS DR3, both obtained using the ANNz2 code. The first one, of general purpose, includes all the 39 million KiDS sources with four-band ugri measurements in DR3. The second dataset, optimized for low-redshift studies such as galaxy-galaxy lensing, is limited to r<20, and provides photo-zs of much better quality than in the full-depth case thanks to incorporating optical magnitudes, colours, and sizes in the GAMA-calibrated photo-z derivation., Comment: A&A, in press. Data available from the KiDS website http://kids.strw.leidenuniv.nl/DR3/ml-photoz.php#annz2
Published: 2017
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11. KiDS-i-800: Comparing weak gravitational lensing measurements in same-sky surveys

Author: Amon, A., Heymans, C., Klaes, D., Erben, T., Blake, C., Hildebrandt, H., Hoekstra, H., Kuijken, K., Miller, L., Morrison, C. B., Choi, A., de Jong, J. T. A., Glazebrook, K., Irissari, N., Joachimi, B., Joudaki, S., Kannawadi, A., Lidman, C., Napolitano, N., Parkinson, D., Schneider, P., van Uitert, E., Viola, M., and Wolf, C.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a weak gravitational lensing analysis of 815 square degree of $i$-band imaging from the Kilo-Degree Survey (KiDS-$i$-800). In contrast to the deep $r$-band observations, which take priority during excellent seeing conditions and form the primary KiDS dataset (KiDS-$r$-450), the complementary yet shallower KiDS-$i$-800 spans a wide range of observing conditions. The overlapping KiDS-$i$-800 and KiDS-$r$-450 imaging therefore provides a unique opportunity to assess the robustness of weak lensing measurements. In our analysis, we introduce two new `null' tests. The `nulled' two-point shear correlation function uses a matched catalogue to show that the calibrated KiDS-$i$-800 and KiDS-$r$-450 shear measurements agree at the level of $1 \pm 4$\%. We use five galaxy lens samples to determine a `nulled' galaxy-galaxy lensing signal from the full KiDS-$i$-800 and KiDS-$r$-450 surveys and find that the measurements agree to $7 \pm 5$\% when the KiDS-$i$-800 source redshift distribution is calibrated using either spectroscopic redshifts, or the 30-band photometric redshifts from the COSMOS survey., Comment: 24 pages, 20 figures. Submitted to MNRAS. Comments welcome
Published: 2017
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12. The third data release of the Kilo-Degree Survey and associated data products

Author: de Jong, J. T. A., Kleijn, G. A. Verdoes, Erben, T., Hildebrandt, H., Kuijken, K., Sikkema, G., Brescia, M., Bilicki, M., Napolitano, N. R., Amaro, V., Begeman, K. G., Boxhoorn, D. R., Buddelmeijer, H., Cavuoti, S., Getman, F., Grado, A., Helmich, E., Huang, Z., Irisarri, N., La Barbera, F., Longo, G., McFarland, J. P., Nakajima, R., Paolillo, M., Puddu, E., Radovich, M., Rifatto, A., Tortora, C., Valentijn, E. A., Vellucci, C., Vriend, W-J., Amon, A., Blake, C., Choi, A., Conti, I. Fenech, Herbonnet, R., Heymans, C., Hoekstra, H., Klaes, D., Merten, J., Miller, L., Schneider, P., and Viola, M.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The Kilo-Degree Survey (KiDS) is an ongoing optical wide-field imaging survey with the OmegaCAM camera at the VLT Survey Telescope. It aims to image 1500 square degrees in four filters (ugri). The core science driver is mapping the large-scale matter distribution in the Universe, using weak lensing shear and photometric redshift measurements. Further science cases include galaxy evolution, Milky Way structure, detection of high-redshift clusters, and finding rare sources such as strong lenses and quasars. Here we present the third public data release (DR3) and several associated data products, adding further area, homogenized photometric calibration, photometric redshifts and weak lensing shear measurements to the first two releases. A dedicated pipeline embedded in the Astro-WISE information system is used for the production of the main release. Modifications with respect to earlier releases are described in detail. Photometric redshifts have been derived using both Bayesian template fitting, and machine-learning techniques. For the weak lensing measurements, optimized procedures based on the THELI data reduction and lensfit shear measurement packages are used. In DR3 stacked ugri images, weight maps, masks, and source lists for 292 new survey tiles (~300 sq.deg) are made available. The multi-band catalogue, including homogenized photometry and photometric redshifts, covers the combined DR1, DR2 and DR3 footprint of 440 survey tiles (447 sq.deg). Limiting magnitudes are typically 24.3, 25.1, 24.9, 23.8 (5 sigma in a 2 arcsec aperture) in ugri, respectively, and the typical r-band PSF size is less than 0.7 arcsec. The photometric homogenization scheme ensures accurate colors and an absolute calibration stable to ~2% for gri and ~3% in u. Separately released are a weak lensing shear catalogue and photometric redshifts based on two different machine-learning techniques., Comment: small modifications; 27 pages, 12 figures, accepted for publication in Astronomy & Astrophysics
Published: 2017
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13. The SAMI Galaxy Survey: The cluster redshift survey, target selection and cluster properties

Author: Owers, M. S., Allen, J. T., Baldry, I., Bryant, J. J., Cecil, G. N., Cortese, L., Croom, S. M., Driver, S. P., Fogarty, L. M. R., Green, A. W., Helmich, E., de Jong, J. T. A., Kuijken, K., Mahajan, S., McFarland, J., Pracy, M. B., Robotham, A. G. S., Sikkema, G., Sweet, S., Taylor, E. N., Kleijn, G. Verdoes, Bauer, A. E., Bland-Hawthorn, J., Brough, S., Colless, M., Couch, W. J., Davies, R. L, Drinkwater, M. J., Goodwin, M., Hopkins, A. M., Konstantopoulos, I. S., Foster, C., Lawrence, J. S., Lorente, N. P. F, Medling, A. M., Metcalfe, N., Richards, S. N., van de Sande, J., Scott, N., Shanks, T., Sharp, R., Thomas, A. D., and Tonini, C.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We describe the selection of galaxies targeted in eight low redshift clusters (APMCC0917, A168, A4038, EDCC442, A3880, A2399, A119 and A85; $0.029 < z < 0.058$) as part of the Sydney-AAO Multi-Object integral field Spectrograph Galaxy Survey (SAMI-GS). We have conducted a redshift survey of these clusters using the AAOmega multi-object spectrograph on the 3.9m Anglo-Australian Telescope. The redshift survey is used to determine cluster membership and to characterise the dynamical properties of the clusters. In combination with existing data, the survey resulted in 21,257 reliable redshift measurements and 2899 confirmed cluster member galaxies. Our redshift catalogue has a high spectroscopic completeness ($\sim 94\%$) for $r_{\rm petro} \leq 19.4$ and clustercentric distances $R< 2\rm{R}_{200}$. We use the confirmed cluster member positions and redshifts to determine cluster velocity dispersion, $\rm{R}_{200}$, virial and caustic masses, as well as cluster structure. The clusters have virial masses $14.25 \leq {\rm log }({\rm M}_{200}/\rm{M}_{\odot}) \leq 15.19$. The cluster sample exhibits a range of dynamical states, from relatively relaxed-appearing systems, to clusters with strong indications of merger-related substructure. Aperture- and PSF-matched photometry are derived from SDSS and VST/ATLAS imaging and used to estimate stellar masses. These estimates, in combination with the redshifts, are used to define the input target catalogue for the cluster portion of the SAMI-GS. The primary SAMI-GS cluster targets have $R< \rm{R}_{200}$, velocities $|v_{\rm pec}| < 3.5\sigma_{200}$ and stellar masses $9.5 \leq {\rm log(M}^*_{approx}/\rm{M}_{\odot}) \leq 12$. Finally, we give an update on the SAMI-GS progress for the cluster regions., Comment: 28 pages, 15 figures, 3 tables, accepted for publication in MNRAS
Published: 2017
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14. KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing

Author: Hildebrandt, H., Viola, M., Heymans, C., Joudaki, S., Kuijken, K., Blake, C., Erben, T., Joachimi, B., Klaes, D., Miller, L., Morrison, C. B., Nakajima, R., Kleijn, G. Verdoes, Amon, A., Choi, A., Covone, G., de Jong, J. T. A., Dvornik, A., Conti, I. Fenech, Grado, A., Harnois-Déraps, J., Herbonnet, R., Hoekstra, H., Köhlinger, F., McFarland, J., Mead, A., Merten, J., Napolitano, N., Peacock, J. A., Radovich, M., Schneider, P., Simon, P., Valentijn, E. A., Busch, J. L. van den, van Uitert, E., and Van Waerbeke, L.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological parameter constraints from a tomographic weak gravitational lensing analysis of ~450deg$^2$ of imaging data from the Kilo Degree Survey (KiDS). For a flat $\Lambda$CDM cosmology with a prior on $H_0$ that encompasses the most recent direct measurements, we find $S_8\equiv\sigma_8\sqrt{\Omega_{\rm m}/0.3}=0.745\pm0.039$. This result is in good agreement with other low redshift probes of large scale structure, including recent cosmic shear results, along with pre-Planck cosmic microwave background constraints. A $2.3$-$\sigma$ tension in $S_8$ and `substantial discordance' in the full parameter space is found with respect to the Planck 2015 results. We use shear measurements for nearly 15 million galaxies, determined with a new improved `self-calibrating' version of $lens$fit validated using an extensive suite of image simulations. Four-band $ugri$ photometric redshifts are calibrated directly with deep spectroscopic surveys. The redshift calibration is confirmed using two independent techniques based on angular cross-correlations and the properties of the photometric redshift probability distributions. Our covariance matrix is determined using an analytical approach, verified numerically with large mock galaxy catalogues. We account for uncertainties in the modelling of intrinsic galaxy alignments and the impact of baryon feedback on the shape of the non-linear matter power spectrum, in addition to the small residual uncertainties in the shear and redshift calibration. The cosmology analysis was performed blind. Our high-level data products, including shear correlation functions, covariance matrices, redshift distributions, and Monte Carlo Markov Chains are available at http://kids.strw.leidenuniv.nl., Comment: 49 pages, 34 figures, 9 tables, accepted for publication in MNRAS; data products available at http://kids.strw.leidenuniv.nl/
Published: 2016
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15. Dark matter halo properties of GAMA galaxy groups from 100 square degrees of KiDS weak lensing data

Author: Viola, M., Cacciato, M., Brouwer, M., Kuijken, K., Hoekstra, H., Norberg, P., Robotham, A. S. G., van Uitert, E., Alpaslan, M., Baldry, I. K., Choi, A., de Jong, J. T. A., Driver, S. P., Erben, T., Grado, A., Graham, Alister W., Heymans, C., Hildebrandt, H., Hopkins, A. M., Irisarri, N., Joachimi, B., Loveday, J., Miller, L., Nakajima, R., Schneider, P., Sifón, C., and Kleijn, G. Verdoes
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The Kilo-Degree Survey (KiDS) is an optical wide-field survey designed to map the matter distribution in the Universe using weak gravitational lensing. In this paper, we use these data to measure the density profiles and masses of a sample of $\sim \mathrm{1400}$ spectroscopically identified galaxy groups and clusters from the Galaxy And Mass Assembly (GAMA) survey. We detect a highly significant signal (signal-to-noise-ratio $\sim$ 120), allowing us to study the properties of dark matter haloes over one and a half order of magnitude in mass, from $M \sim 10^{13}-10^{14.5} h^{-1}\mathrm{M_{\odot}}$. We interpret the results for various subsamples of groups using a halo model framework which accounts for the mis-centring of the Brightest Cluster Galaxy (used as the tracer of the group centre) with respect to the centre of the group's dark matter halo. We find that the density profiles of the haloes are well described by an NFW profile with concentrations that agree with predictions from numerical simulations. In addition, we constrain scaling relations between the mass and a number of observable group properties. We find that the mass scales with the total r-band luminosity as a power-law with slope $1.16 \pm 0.13$ (1-sigma) and with the group velocity dispersion as a power-law with slope $1.89 \pm 0.27$ (1-sigma). Finally, we demonstrate the potential of weak lensing studies of groups to discriminate between models of baryonic feedback at group scales by comparing our results with the predictions from the Cosmo-OverWhelmingly Large Simulations (Cosmo-OWLS) project, ruling out models without AGN feedback., Comment: 23 pages, 17 figures, MNRAS accepted, cross-references to other KiDS/GAMA papers fixed in v2; Weak lensing catalogues are available at http://kids.strw.leidenuniv.nl
Published: 2015
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16. First discoveries of z~6 quasars with the Kilo Degree Survey and VISTA Kilo-Degree Infrared Galaxy survey

Author: Venemans, B. P., Kleijn, G. A. Verdoes, Mwebaze, J., Valentijn, E. A., Bañados, E., Decarli, R., de Jong, J. T. A., Findlay, J. R., Kuijken, K. H., La Barbera, F., McFarland, J. P., McMahon, R. G., Napolitano, N., Sikkema, G., and Sutherland, W. J.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the results of our first year of quasar search in the on-going ESO public Kilo Degree Survey (KiDS) and VISTA Kilo-Degree Infrared Galaxy (VIKING) surveys. These surveys are among the deeper wide-field surveys that can be used to uncovered large numbers of z~6 quasars. This allows us to probe a more common population of z~6 quasars that is fainter than the well-studied quasars from the main Sloan Digital Sky Survey. From this first set of combined survey catalogues covering ~250 deg^2 we selected point sources down to Z_AB=22 that had a very red i-Z (i-Z>2.2) colour. After follow-up imaging and spectroscopy, we discovered four new quasars in the redshift range 5.8
Published: 2015
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17. Towards a census of super-compact massive galaxies in the Kilo Degree Survey

Author: Tortora, C., La Barbera, F., Napolitano, N. R., Roy, N., Radovich, M., Cavuoti, S., Brescia, M., Longo, G., Getman, F., Capaccioli, M., Grado, L., Kuijken, K. H., de Jong, J. T. A., McFarland, J. P., and Puddu, E.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: The abundance of compact, massive, early-type galaxies (ETGs) provides important constraints to galaxy formation scenarios. Thanks to the area covered, depth, excellent spatial resolution and seeing, the ESO Public optical Kilo Degree Survey (KiDS), carried out with the VLT Survey Telescope (VST), offers a unique opportunity to conduct a complete census of the most compact galaxies in the Universe. This paper presents a first census of such systems from the first 156 square degrees of KiDS. Our analysis relies on g-, r-, and i-band effective radii ($R_{\rm e}$), derived by fitting galaxy images with PSF-convolved S\'ersic models, high-quality photometric redshifts, $z_{\rm phot}$, estimated from machine learning techniques, and stellar masses, $M_{\rm \star}$, calculated from KiDS aperture photometry. After massiveness ($M_{\rm \star} > 8 \times 10^{10}\, \rm M_{\odot}$) and compactness ($R_{\rm e} < 1.5 \, \rm kpc$ in g-, r- and i-bands) criteria are applied, a visual inspection of the candidates plus near-infrared photometry from VIKING-DR1 are used to refine our sample. The final catalog, to be spectroscopically confirmed, consists of 92 systems in the redshift range $z \sim 0.2-0.7$. This sample, which we expect to increase by a factor of ten over the total survey area, represents the first attempt to select massive super-compact ETGs (MSCGs) in KiDS. We investigate the impact of redshift systematics in the selection, finding that this seems to be a major source of contamination in our sample. A preliminary analysis shows that MSCGs exhibit negative internal colour gradients, consistent with a passive evolution of these systems. We find that the number density of MSCGs is only mildly consistent with predictions from simulations at $z>0.2$, while no such system is found at $z < 0.2$., Comment: 11 pages, 6 figures, MNRAS in press, revised and improved version, figures and text have been updated
Published: 2015
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18. A skewer survey of the Galactic halo from deep CFHT and INT images

Author: Pila-Díez, B., de Jong, J. T. A., Kuijken, K., van der Burg, R. F. J., and Hoekstra, H.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We study the density profile and shape of the Galactic halo using deep multicolour images from the MENeaCS and CCCP projects, over 33 fields selected to avoid overlap with the Galactic plane. Using multicolour selection and PSF homogenization techniques we obtain catalogues of F stars (near-main sequence turnoff stars) out to Galactocentric distances up to 60kpc. Grouping nearby lines of sight, we construct the stellar density profiles through the halo in eight different directions by means of photometric parallaxes. Smooth halo models are then fitted to these profiles. We find clear evidence for a steepening of the density profile power law index around R=20 kpc, from -2.50 +- 0.04 to -4.85 +- 0.04, and for a flattening of the halo towards the poles with best-fit axis ratio 0.63 +- 0.02. Furthermore, we cannot rule out a mild triaxiality (w>=0.8). We recover the signatures of well-known substructure and streams that intersect our lines of sight. These results are consistent with those derived from wider but shallower surveys, and augur well for upcoming, wide-field surveys of comparable depth to our pencil beam surveys., Comment: 14 pages, 8 figures, 6 tables
Published: 2015
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19. Finding halo streams with a pencil-beam survey: new wraps in the Sagittarius stream

Author: Pila-Díez, B., Kuijken, K., de Jong, J. T. A., Hoekstra, H., and van der Burg, R. F. J.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We use data from two CFHT-MegaCam photometric pencil-beam surveys in the g' and the r' bands to measure distances to the Sagittarius, the Palomar 5 and the Orphan stream. We show that, using a cross-correlation algorithm to detect the turnoff point of the main sequence, it is possible to overcome the main limitation of a two-bands pencil-beam survey, namely the lack of adjacent control-fields that can be used to subtract the foreground and background stars to enhance the signal on the colour-magnitude diagrams (CMDs). We describe the cross-correlation algorithm and its implementation. We combine the resulting main sequence turnoff points with theoretical isochrones to derive photometric distances to the streams. Our results (31 detections on the Sagittarius stream and one each for the Palomar 5 and the Orphan streams) confirm the findings by previous studies, expand the distance trend for the Sagittarius faint southern branch and, for the first time, trace the Sagittarius faint branch of the northern-leading arm out to 56 kpc. In addition, they show evidence for new substructure: we argue that these detections trace the continuation of the Sagittarius northern-leading arm into the southern hemisphere, and find a nearby branch of the Sagittarius trailing wrap in the northern hemisphere., Comment: 16 pages, 15 figures, 2 tables
Published: 2013
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20. The structural properties and star formation history of Leo T from deep LBT photometry

Author: de Jong, J. T. A., Harris, J., Coleman, M. G., Martin, N. F., Bell, E. F., Rix, H-W., Hill, J. M., Skillman, E. D., Sand, D. J., Olszewski, E. W., Zaritsky, D., Thompson, D., Giallongo, E., Ragazzoni, R., DiPaola, A., Farinato, J., Testa, V., and Bechtold, J.
Subjects: Astrophysics
Abstract: We present deep, wide-field g and r photometry of the transition type dwarf galaxy Leo T, obtained with the blue arm of the Large Binocular Telescope. The data confirm the presence of both very young (<1 Gyr) as well as much older (>5 Gyr) stars. We study the structural properties of the old and young stellar populations by preferentially selecting either population based on their color and magnitude. The young population is significantly more concentrated than the old population, with half-light radii of 104+-8 and 148+-16 pc respectively, and their centers are slightly offset. Approximately 10% of the total stellar mass is estimated to be represented by the young stellar population. Comparison of the color-magnitude diagram (CMD) with theoretical isochrones as well as numerical CMD-fitting suggest that star formation began over 10 Gyr ago and continued in recent times until at least a few hundred Myr ago. The CMD-fitting results are indicative of two distinct star formation bursts, with a quiescent period around 3 Gyr ago, albeit at low significance. The results are consistent with no metallicity evolution and [Fe/H] ~ -1.5 over the entire age of the system. Finally, the data show little if any sign of tidal distortion of Leo T., Comment: 8 pages, 9 figures, some small textual changes, accepted for publication in the Astrophysical Journal
Published: 2008
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21. Numerical Color-Magnitude Diagram Analysis of SDSS Data and Application to the New Milky Way satellites

Author: de Jong, J. T. A., Rix, H-W., Martin, N. F., Zucker, D. B., Dolphin, A. E., Bell, E. F., Belokurov, V., and Evans, N. W.
Subjects: Astrophysics
Abstract: We have tested the application to Sloan Digital Sky Survey data of the software package MATCH, which fits color-magnitude diagrams (CMDs) to estimate stellar population parameters and distances. These tests on a set of six globular clusters show that these techniques recover their known properties. New ways of using the CMD-fitting software enable us to deal with an extended distribution of stars along the line-of-sight, to constrain the overall properties of sparsely populated objects, and to detect the presence of stellar overdensities in wide-area surveys. We then also apply MATCH to CMDs for twelve recently discovered Milky Way satellites to derive in a uniform fashion their distances, ages and metallicities. While the majority of them appear consistent with a single stellar population, CVn I, UMa II, and Leo T exhibit (from SDSS data alone) a more complex history with multiple epochs of star formation., Comment: 25 pages, 20 figures, subsection added including 4 new figures, some other textual changes, accepted for publication in the Astronomical Journal
Published: 2007
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22. The discovery of two extremely low luminosity Milky Way globular clusters

Author: Koposov, S., de Jong, J. T. A., Belokurov, V., Rix, H. -W., Zucker, D. B., Evans, N. W., Gilmore, G., Irwin, M. J., and Bell, E. F.
Subjects: Astrophysics
Abstract: We report the discovery of two extremely low luminosity globular clusters in the Milky Way Halo. These objects were detected in the Sloan Digital Sky Survey Data Release 5 and confirmed with deeper imaging at the Calar Alto Observatory. The clusters, Koposov 1 and Koposov 2, are located at $\sim 40-50$ kpc and appear to have old stellar populations and luminosities of only $M_V \sim -1$ mag. Their observed sizes of $\sim 3$ pc are well within the expected tidal limit of $\sim$10 pc at that distance. Together with Palomar 1, AM 4 and Whiting 1, these new clusters are the lowest luminosity globulars orbiting the Milky Way, with Koposov 2 the most extreme. Koposov 1 appears to lie close to distant branch of the Sagittarius stream. The half-mass relaxation times of Koposov 1 and 2 are only $\sim 70$ and $\sim 55$ Myr respectively (2 orders of magnitude shorter than the age of the stellar populations), so it would seem that they have undergone drastic mass segregation. Since they do not appear to be very concentrated, their evaporation timescales may be as low as $\sim 0.1 t_{\rm Hubble}$. These discoveries show that the structural parameter space of globular clusters in the Milky Way halo is not yet fully explored. They also add, through their short remaining survival times, significant direct evidence for a once much larger population of globular clusters., Comment: accepted for publication in ApJ, minor revisions
Published: 2007
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23. Discovery of an Unusual Dwarf Galaxy in the Outskirts of the Milky Way

Author: Irwin, M. J., Belokurov, V., Evans, N. W., Ryan-Weber, E. V., de Jong, J. T. A., Koposov, S., Zucker, D. B., Hodgkin, S. T., Gilmore, G., Prema, P., Hebb, L., Begum, A., Fellhauer, M., Hewett, P. C., Kennicutt, Jr., R. C., Wilkinson, M. I., Bramich, D. M., Vidrih, S., Rix, H. -W., Beers, T. C., Barentine, J. C., Brewington, H., Harvanek, M., Krzesinski, J., Long, D., Nitta, A., and Snedden, S. A.
Subjects: Astrophysics
Abstract: In this Letter, we announce the discovery of a new dwarf galaxy, Leo T, in the Local Group. It was found as a stellar overdensity in the Sloan Digital Sky Survey Data Release 5 (SDSS DR5). The color-magnitude diagram of Leo T shows two well-defined features, which we interpret as a red giant branch and a sequence of young, massive stars. As judged from fits to the color-magnitude diagram, it lies at a distance of about 420 kpc and has an intermediate-age stellar population with a metallicity of [Fe/H]= -1.6, together with a young population of blue stars of age of 200 Myr. There is a compact cloud of neutral hydrogen with mass roughly 10^5 solar masses and radial velocity 35 km/s coincident with the object visible in the HIPASS channel maps. Leo T is the smallest, lowest luminosity galaxy found to date with recent star-formation. It appears to be a transition object similar to, but much lower luminosity than, the Phoenix dwarf., Comment: Ap J (Letters) in press, the subject of an SDSS press release today
Published: 2007
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24. A Canis Major over-density imaging survey. I. Stellar content and star-count maps : A distinctly elongated body of main sequence stars

Author: Butler, D. J., Martinez-Delgado, D., Rix, H-W., Penarrubia, J., and de Jong, J. T. A.
Subjects: Astrophysics
Abstract: [Abridged] We present first results from a large-area (~80degx20deg), sparsely sampled two-filter (B,R) imaging survey towards the Canis Major stellar over-density, claimed to be a disrupting Milky Way satellite galaxy. Utilizing stellar colour-magnitude diagrams reaching to B ~ 22 mag, we provide a first delineation of its surface density distribution using main sequence stars. Its projected shape is highly elongated, nearly parallel to the Galactic plane, with an axis ratio of >~ 5:1, substantially more so than what Martin et al. originally found. We also provide a first map of a prominent over-density of blue, presumably younger main sequence stars, which appears to have a maximum near [l,b = 240,-7 deg]. The young population is markedly more localized. We estimate an upper limit on the line-of-sight (l.o.s.) depth of the old population based on the main sequence width, obtaining sigma_los < 1.8 +/- 0.3 kpc, at an adopted D_helio = 7.5 +/- 1 kpc. For the young stellar population, we find sigma_los < 1.5 kpc. There are different explanations for the CMa over-density: (a) a partially disrupting dwarf galaxy on a low-latitude orbit, (b) a projection of the warped outer Galactic disk, and (c) a projection of an out-of-plane spiral arm. While the data provide no firm arguments against the less well-defined third scenario, they have clear implications for each of the others: (a) We infer from the strong elongation in longitude, and simulations in the literature, that the over-density is unlikely to be a gravitationally bound system at the present epoch, but may well be just a recently disrupted satellite remnant. (b) Based on modeling, the line-of-sight depth of the over-density in old stars is clearly inconsistent with published locally axi-symmetric descriptions of the warped Galactic disk., Comment: 27 pages, 15 figures, Submitted to AJ. Several figures are given as JPEGs. High res. version: www.mpia-hd.mpg.de/homes/butler/cma.pdf.gz
Published: 2006
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25. Cats and Dogs, Hair and A Hero: A Quintet of New Milky Way Companions

Author: Belokurov, V., Zucker, D. B., Evans, N. W., Kleyna, J. T., Koposov, S., Hodgkin, S. T., Irwin, M. J., Gilmore, G., Wilkinson, M. I., Fellhauer, M., Bramich, D. M., Hewett, P. C., Vidrih, S., De Jong, J. T. A., Smith, J. A., Rix, H. -W., Bell, E. F., Wyse, R. F. G., Newberg, H. J., Mayeur, P. A., Yanny, B., Rockosi, C. M., Gnedin, O. Y., Schneider, D. P., Beers, T. C., Barentine, J. C., Brewington, H., Brinkmann, J., Harvanek, M., Kleinman, S. J., Krzesinski, J., Long, D., Nitta, A., and Snedden, S. A.
Subjects: Astrophysics
Abstract: We present five new satellites of the Milky Way discovered in Sloan Digital Sky Survey (SDSS) imaging data, four of which were followed-up with either the Subaru or the Isaac Newton Telescopes. They include four probable new dwarf galaxies -- one each in the constellations of Coma Berenices, Canes Venatici, Leo and Hercules -- together with one unusually extended globular cluster, Segue 1. We provide distances, absolute magnitudes, half-light radii and color-magnitude diagrams for all five satellites. The morphological features of the color-magnitude diagrams are generally well described by the ridge line of the old, metal-poor globular cluster M92. In the last two years, a total of ten new Milky Way satellites with effective surface brightness mu_v >~ 28 mag/sq. arcsec have been discovered in SDSS data. They are less luminous, more irregular and appear to be more metal-poor than the previously-known nine Milky Way dwarf spheroidals. The relationship between these objects and other populations is discussed. We note that there is a paucity of objects with half-light radii between ~40 pc and ~ 100 pc. We conjecture that this may represent the division between star clusters and dwarf galaxies., Comment: 10 pages, 8 figures, submitted to the Astrophysical Journal
Published: 2006
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26. Effects of Phytoplankton Blooms on the Cycling of Manganese and Iron in Coastal Waters

Author: Schoemann, V., de Baar, H. J. W., de Jong, J. T. M., and Lancelot, C.
Published: 1998

27. Screening for Psychosocial Distress amongst War-Affected Children: Cross-Cultural Construct Validity of the CPDS

Author: Jordans, M. J. D., Komproe, I. H., Tol, W. A., and De Jong, J. T. V. M.
Abstract: Background: Large-scale psychosocial interventions in complex emergencies call for a screening procedure to identify individuals at risk. To date there are no screening instruments that are developed within low- and middle-income countries and validated for that purpose. The present study assesses the cross-cultural validity of the brief, multi-informant and multi-indicator Child Psychosocial Distress Screener (CPDS). Methods: The CPDS data of total samples in targeted catchment areas of a psychosocial care program in four conflict-affected countries (Burundi n = 4193; Sri Lanka n = 2573; Indonesia n = 1624; Sudan n = 1629) were studied to examine the cross-cultural construct validity of the CPDS across settings. First, confirmatory factor analyses were done to determine the likelihood of pre-determined theory-based factor structures in each country sample. Second, multi-sample confirmatory factor analyses were done within each country sample to test measurement equivalence of the factor structure as a measure of construct validity. Results: A 3-factor structure reflecting the theoretical premises of the instrument (e.g., child distress, child resilience and contextual factors) was found in the samples from Burundi, Sri Lanka and Indonesia, albeit with context specific deviations. The robustness of the 3-factor structure as an indicator of construct validity was confirmed within these three samples by means of multi-sample confirmatory factor-analyses. A 3-factor structure was not found in the Sudan sample. Conclusions: This study demonstrates the comparability of the assessment by the CPDS of the construct "non-specific psychosocial distress" across three out of four countries. Robustness of the factor structure of the CPDS within different samples refers to the construct validity of the instrument. However, owing to context-specific deviations of inter-item relationships, the CPDS scores cannot be compared cross-culturally, a finding that confirms the need for attention to contextual factors when screening for non-specific psychosocial distress.
Published: 2009
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28. Treatment Processes of Counseling for Children in South Sudan: A Multiple n = 1 Design

Author: Jordans, M. J. D., Komproe, I. H., Tol, W. A., Nsereko, J., and de Jong, J. T. V. M.
Published: 2013
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29. Iron stress in the Pacific region of the Southern Ocean: evidence from enrichment bioassays

Author: Timmermans, K. R., van Leeuwe, M. A., de Jong, J. T. M., McKay, R. M. L., Nolting, R. F., Witte, H. J., van Ooyen, J., Swagerman, M. J. W., Kloosterhuis, H., and de Baar, H. J. W.
Published: 1998

30. Practice-Driven Evaluation of a Multi-layered Psychosocial Care Package for Children in Areas of Armed Conflict

Author: Jordans, M. J. D., Komproe, I. H., Tol, W. A., Susanty, D., Vallipuram, A., Ntamatumba, P., Lasuba, A. C., and De Jong, J. T. V. M.
Published: 2011
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31. Verklaringsmodellen in de GGZ: kenmerken van migranten en Nederlandse cliënten die volharden in een niet-psychologische betekenisgeving van hun klachten

Author: Trinidad, R. B., Kamperman, A. M., and de Jong, J. T. V. M.
Published: 2005
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32. Opmerkelijke insekten in en om gebouwen in 1985

Author: De Jong, J T and BioStor
Published: 1986

33. KiDS-1000 catalogue: Redshift distributions and their calibration

Author: Hildebrandt, H., primary, van den Busch, J. L., additional, Wright, A. H., additional, Blake, C., additional, Joachimi, B., additional, Kuijken, K., additional, Tröster, T., additional, Asgari, M., additional, Bilicki, M., additional, de Jong, J. T. A., additional, Dvornik, A., additional, Erben, T., additional, Getman, F., additional, Giblin, B., additional, Heymans, C., additional, Kannawadi, A., additional, Lin, C.-A., additional, and Shan, H.-Y., additional
Published: 2021
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34. The Astrometric Calibration Software System for Euclid's External Surveys

Author: Mulder, W., de Jong, J. T. A., Verdoes Kleijn, G. A., Valentijn, E. A., Williams, O. R., Boxhoorn, D. R., Belikov, A. N., Fabricius, M., Helmich, E. M., Wetzstein, M., Vassallo, T., George, K., Pizzo, R., Deul, E.R., Mol, J-D., de Plaa, J., Verkouter, H., and Astronomy
Abstract: ESA's Euclid mission will construct a 3D map of the distribution of over a billion galaxies. Multi-band ground-based imaging data will complement the satellite data as it is essential for measuring highly accurate colors required to obtain precise galaxy photometric redshifts. These data will be provided by multiple surveys that need to be combined into a homogeneously calibrated data set that can be combined with the photometry and astrometry of the Euclid space-based imaging. The "EXT Processing Function" inside the Euclid Science Ground Segment handles the calibration and validation of the ground-based images, places them on the Euclid astrometric and photometric reference frames, and coadditions images. A key challenge is that the Euclid astrometric reference frame will evolve during the mission. We summarise the architecture of the EXT Processing Function and thereafter focus prototyping the database table handling system that can deal with an evolving astrometric reference frame.
Published: 2020

35. Trauma and loss as determinants of medically unexplained epidemic illness in a Bhutanese refugee camp

Author: VAN OMMEREN, M., SHARMA, B., KOMPROE, I., POUDYAL, B. N., SHARMA, G. K., CARDEÑA, E., and DE JONG, J. T. V. M.
Published: 2001

36. Schizophrenia among Surinamese in the Netherlands: high admission rates not explained by high emigration rates

Author: BOGERS, J. P. A. M., DE JONG, J. T. V. M., and KOMPROE, I. H.
Published: 2000

37. KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data

Author: Hildebrandt, H., primary, Köhlinger, F., additional, van den Busch, J. L., additional, Joachimi, B., additional, Heymans, C., additional, Kannawadi, A., additional, Wright, A. H., additional, Asgari, M., additional, Blake, C., additional, Hoekstra, H., additional, Joudaki, S., additional, Kuijken, K., additional, Miller, L., additional, Morrison, C. B., additional, Tröster, T., additional, Amon, A., additional, Archidiacono, M., additional, Brieden, S., additional, Choi, A., additional, de Jong, J. T. A., additional, Erben, T., additional, Giblin, B., additional, Mead, A., additional, Peacock, J. A., additional, Radovich, M., additional, Schneider, P., additional, Sifón, C., additional, and Tewes, M., additional
Published: 2020
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38. The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees

Author: Kuijken, K., primary, Heymans, C., additional, Dvornik, A., additional, Hildebrandt, H., additional, de Jong, J. T. A., additional, Wright, A. H., additional, Erben, T., additional, Bilicki, M., additional, Giblin, B., additional, Shan, H.-Y., additional, Getman, F., additional, Grado, A., additional, Hoekstra, H., additional, Miller, L., additional, Napolitano, N., additional, Paolilo, M., additional, Radovich, M., additional, Schneider, P., additional, Sutherland, W., additional, Tewes, M., additional, Tortora, C., additional, Valentijn, E. A., additional, and Verdoes Kleijn, G. A., additional
Published: 2019
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39. VizieR Online Data Catalog: KiDS-ESO-DR3 multi-band source catalog (de Jong+, 2017)

Author: de Jong, J. T. A., Verdoes Kleijn, G. A., Erben, T., Hildebrandt, H., Kuijken, K., Sikkema, G., Brescia, M., Bilicki, M., Napolitano, N. R., Amaro, V., Begeman, K. G., Boxhoorn, D. R., Buddelmeijer, H., Cavuoti, S., Getman, F., Grado, A., Helmich, E., Huang, Z., Irisarri, N., La Barbera, F., Longo, G., McFarland, J. P., Nakajima, R., Paolillo, M., Puddu, E., Radovich, M., Rifatto, A., Tortora, C, Valentijn, E. A., Vellucci, C., Vriend, W-J., Amon, A., Blake, C., Choi, A., Fenech Conti, I., Herbonnet, R., Heymans, C., Hoekstra, H., Klaes, D., Merten, J., Miller, L., Schneider, P., Viola, M., Astronomy, and Intelligent Systems
Subjects: Redshifts, Photometry: ugriz, Extinction, Galaxy catalogs
Abstract: KiDS-ESO-DR3 contains a multi-band source catalogue encompassing all publicly released tiles, a total of 440 survey tiles including the coadded images, weight maps, masks and source lists of 292 survey tiles of KiDS-ESO-DR3, adding to the 148 tiles released previously (50 in KiDS-ESO-DR1 and 98 in KiDS-ESO-DR2). (1 data file).
Published: 2017

40. LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

Author: Petrillo, C E, primary, Tortora, C, additional, Vernardos, G, additional, Koopmans, L V E, additional, Verdoes Kleijn, G, additional, Bilicki, M, additional, Napolitano, N R, additional, Chatterjee, S, additional, Covone, G, additional, Dvornik, A, additional, Erben, T, additional, Getman, F, additional, Giblin, B, additional, Heymans, C, additional, de Jong, J T A, additional, Kuijken, K, additional, Schneider, P, additional, Shan, H, additional, Spiniello, C, additional, and Wright, A H, additional
Published: 2019
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41. Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

Author: Amaro, V, primary, Cavuoti, S, additional, Brescia, M, additional, Vellucci, C, additional, Longo, G, additional, Bilicki, M, additional, de Jong, J T A, additional, Tortora, C, additional, Radovich, M, additional, Napolitano, N R, additional, and Buddelmeijer, H, additional
Published: 2018
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42. Photometric redshifts for the Kilo-Degree Survey

Author: Bilicki, M., primary, Hoekstra, H., additional, Brown, M. J. I., additional, Amaro, V., additional, Blake, C., additional, Cavuoti, S., additional, de Jong, J. T. A., additional, Georgiou, C., additional, Hildebrandt, H., additional, Wolf, C., additional, Amon, A., additional, Brescia, M., additional, Brough, S., additional, Costa-Duarte, M. V., additional, Erben, T., additional, Glazebrook, K., additional, Grado, A., additional, Heymans, C., additional, Jarrett, T., additional, Joudaki, S., additional, Kuijken, K., additional, Longo, G., additional, Napolitano, N., additional, Parkinson, D., additional, Vellucci, C., additional, Verdoes Kleijn, G. A., additional, and Wang, L., additional
Published: 2018
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43. The galaxy environment in GAMA G3C groups using the Kilo Degree Survey Data Release 3

Author: Costa-Duarte, M V, primary, Viola, M, additional, Molino, A, additional, Kuijken, K, additional, Jr, L Sodré, additional, Bilicki, M, additional, Brouwer, M M, additional, Buddelmeijer, H, additional, Grado, A, additional, de Jong, J T A, additional, Napolitano, N, additional, Puddu, E, additional, Radovich, M, additional, and Vakili, M, additional
Published: 2018
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44. KiDS-i-800: comparing weak gravitational lensing measurements from same-sky surveys

Author: Amon, A, primary, Heymans, C, additional, Klaes, D, additional, Erben, T, additional, Blake, C, additional, Hildebrandt, H, additional, Hoekstra, H, additional, Kuijken, K, additional, Miller, L, additional, Morrison, C B, additional, Choi, A, additional, de Jong, J T A, additional, Glazebrook, K, additional, Irisarri, N, additional, Joachimi, B, additional, Joudaki, S, additional, Kannawadi, A, additional, Lidman, C, additional, Napolitano, N, additional, Parkinson, D, additional, Schneider, P, additional, van Uitert, E, additional, Viola, M, additional, and Wolf, C, additional
Published: 2018
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45. Migrant mental health: a model for indicators of mental health and health care consumption

Author: Kamperman, A. M., Komproe, I. H., and de Jong, J. T. V. M.
Subjects: Health behavior -- Psychological aspects, Health behavior -- Economic aspects, Immigrants -- Psychological aspects, Immigrants -- Health aspects, Mental health -- Management, Company business management, Health, Psychology and mental health
Abstract: A study analyzing the relation between mental health and personal health care management, among immigrants in Netherlands, is presented.
Published: 2007

46. Mining the Kilo-Degree Survey for solar system objects

Author: Mahlke, M., primary, Bouy, H., additional, Altieri, B., additional, Verdoes Kleijn, G., additional, Carry, B., additional, Bertin, E., additional, de Jong, J. T. A., additional, Kuijken, K., additional, McFarland, J., additional, and Valentijn, E., additional
Published: 2018
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47. The SAMI Galaxy Survey: the cluster redshift survey, target selection and cluster properties

Author: Owers, M. S., primary, Allen, J. T., additional, Baldry, I., additional, Bryant, J. J., additional, Cecil, G. N., additional, Cortese, L., additional, Croom, S. M., additional, Driver, S. P., additional, Fogarty, L. M. R., additional, Green, A. W., additional, Helmich, E., additional, de Jong, J. T. A., additional, Kuijken, K., additional, Mahajan, S., additional, McFarland, J., additional, Pracy, M. B., additional, Robotham, A. G. S., additional, Sikkema, G., additional, Sweet, S., additional, Taylor, E. N., additional, Verdoes Kleijn, G., additional, Bauer, A. E., additional, Bland-Hawthorn, J., additional, Brough, S., additional, Colless, M., additional, Couch, W. J., additional, Davies, R. L, additional, Drinkwater, M. J., additional, Goodwin, M., additional, Hopkins, A. M., additional, Konstantopoulos, I. S., additional, Foster, C., additional, Lawrence, J. S., additional, Lorente, N. P. F, additional, Medling, A. M., additional, Metcalfe, N., additional, Richards, S. N., additional, van de Sande, J., additional, Scott, N., additional, Shanks, T., additional, Sharp, R., additional, Thomas, A. D., additional, and Tonini, C., additional
Published: 2017
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48. Intergenerational transmission of violence and resilience in conflict-affected Burundi: a qualitative study of why some children thrive despite duress

Author: Berckmoes, L. H., primary, de Jong, J. T. V. M., additional, and Reis, R., additional
Published: 2017
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49. KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing

Author: Hildebrandt, H., primary, Viola, M., additional, Heymans, C., additional, Joudaki, S., additional, Kuijken, K., additional, Blake, C., additional, Erben, T., additional, Joachimi, B., additional, Klaes, D., additional, Miller, L., additional, Morrison, C. B., additional, Nakajima, R., additional, Verdoes Kleijn, G., additional, Amon, A., additional, Choi, A., additional, Covone, G., additional, de Jong, J. T. A., additional, Dvornik, A., additional, Fenech Conti, I., additional, Grado, A., additional, Harnois-Déraps, J., additional, Herbonnet, R., additional, Hoekstra, H., additional, Köhlinger, F., additional, McFarland, J., additional, Mead, A., additional, Merten, J., additional, Napolitano, N., additional, Peacock, J. A., additional, Radovich, M., additional, Schneider, P., additional, Simon, P., additional, Valentijn, E. A., additional, van den Busch, J. L., additional, van Uitert, E., additional, and Van Waerbeke, L., additional
Published: 2016
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50. Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies.

Author: Amaro, V, Cavuoti, S, Brescia, M, Vellucci, C, Longo, G, Bilicki, M, de Jong, J T A, Tortora, C, Radovich, M, Napolitano, N R, and Buddelmeijer, H
Subjects: ASTRONOMICAL photometry, REDSHIFT, GALAXY clusters, STAR formation, PROBABILITY density function
Abstract: Despite the high accuracy of photometric redshifts (zphot) derived using machine learning (ML) methods, the quantification of errors through reliable and accurate probability density functions (PDFs) is still an open problem. First, because it is difficult to accurately assess the contribution from different sources of errors, namely internal to the method itself and from the photometric features defining the available parameter space. Secondly, because the problem of defining a robust statistical method, always able to quantify and qualify the PDF estimation validity, is still an open issue. We present a comparison among PDFs obtained using three different methods on the same data set: two ML techniques, METAPHOR (Machine-learning Estimation Tool for Accurate PHOtometric Redshifts) and ANNz2, plus the spectral energy distribution template-fitting method, BPZ (Bayesian photometric redshift). The photometric data were extracted from the Kilo Degree Survey ESO Data Release 3, while the spectroscopy was obtained from the Galaxy and Mass Assembly Data Release 2. The statistical evaluation of both individual and stacked PDFs was done through quantitative and qualitative estimators, including a dummy PDF, useful to verify whether different statistical estimators can correctly assess PDF quality. We conclude that, in order to quantify the reliability and accuracy of any zphot PDF method, a combined set of statistical estimators is required. [ABSTRACT FROM AUTHOR]
Published: 2019
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