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1. The Green Bank North Celestial Cap Pulsar Survey. IV: Four New Timing Solutions

Author

Aloisi, R. J., Cruz, A., Daniels, L., Meyers, N., Roekle, R., Schuett, A., Swiggum, J. K., DeCesar, M. E., Kaplan, D. L., Lynch, R. S., Stovall, K., Levin, Lina, Archibald, A. M., Banaszak, S., Biwer, C. M., Boyles, J., Chawla, P., Dartez, L. P., Cui, B., Day, D. F., Ford, A. J., Flanigan, J., Fonseca, E., Hessels, J. W. T., Hinojosa, J., Karako-Argaman, C., Kaspi, V. M., Kondratiev, V. I., Leake, S., Lunsford, G., Martinez, J. G., Mata, A., McLaughlin, M. A., Noori, H. Al, Ransom, S. M., Roberts, M . S. E., Rohr, M. D., Siemens, X., Spiewak, R., Stairs, I. H., van Leeuwen, J., Walker, A. N., and Wells, B. L.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present timing solutions for four pulsars discovered in the Green Bank Northern Celestial Cap (GBNCC) survey. All four pulsars are isolated with spin periods between 0.26$\,$s and 1.84$\,$s. PSR J0038$-$2501 has a 0.26$\,$s period and a period derivative of ${7.6} \times {10}^{-19}\,{\rm s\,s}^{-1}$, which is unusually low for isolated pulsars with similar periods. This low period derivative may be simply an extreme value for an isolated pulsar or it could indicate an unusual evolution path for PSR J0038$-$2501, such as a disrupted recycled pulsar (DRP) from a binary system or an orphaned central compact object (CCO). Correcting the observed spin-down rate for the Shklovskii effect suggests that this pulsar may have an unusually low space velocity, which is consistent with expectations for DRPs. There is no X-ray emission detected from PSR J0038$-$2501 in an archival swift observation, which suggests that it is not a young orphaned CCO. The high dispersion measure of PSR J1949+3426 suggests a distance of 12.3$\,$kpc. This distance indicates that PSR J1949+3426 is among the most distant 7% of Galactic field pulsars, and is one of the most luminous pulsars., Comment: 7 pages, 5 figures

Published
2019
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3. The Green Bank Northern Celestial Cap Pulsar Survey II: The Discovery and Timing of Ten Pulsars

Author

Kawash, A. M., McLaughlin, M. A., Kaplan, D. L., DeCesar, M. E., Levin, L., Lorimer, D. R., Lynch, R. S., Stovall, K., Swiggum, J. K., Fonseca, E., Archibald, A. M., Banaszak, S., Biwer, C. M., Boyles, J., Cui, B., Dartez, L. P., Day, D., Ernst, S., Ford, A. J., Flanigan, J., Heatherly, S. A., Hessels, J. W. T., Hinojosa, J., Jenet, F. A., Karako-Argaman, C., Kaspi, V. M., Kondratiev, V. I., Leake, S., Lunsford, G., Martinez, J. G., Mata, A., Matheny, T. D., Mcewen, A. E., Mingyar, M. G., Orsini, A. L., Ransom, S. M., Roberts, M. S. E., Rohr, M. D., Siemens, X., Spiewak, R., Stairs, I. H., van Leeuwen, J., Walker, A. N., and Wells, B. L.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present timing solutions for ten pulsars discovered in 350 MHz searches with the Green Bank Telescope. Nine of these were discovered in the Green Bank Northern Celestial Cap survey and one was discovered by students in the Pulsar Search Collaboratory program in analysis of drift-scan data. Following discovery and confirmation with the Green Bank Telescope, timing has yielded phase-connected solutions with high precision measurements of rotational and astrometric parameters. Eight of the pulsars are slow and isolated, including PSR J0930$-$2301, a pulsar with nulling fraction lower limit of $\sim$30\% and nulling timescale of seconds to minutes. This pulsar also shows evidence of mode changing. The remaining two pulsars have undergone recycling, accreting material from binary companions, resulting in higher spin frequencies. PSR J0557$-$2948 is an isolated, 44 \rm{ms} pulsar that has been partially recycled and is likely a former member of a binary system which was disrupted by a second supernova. The paucity of such so-called `disrupted binary pulsars' (DRPs) compared to double neutron star (DNS) binaries can be used to test current evolutionary scenarios, especially the kicks imparted on the neutron stars in the second supernova. There is some evidence that DRPs have larger space velocities, which could explain their small numbers. PSR J1806+2819 is a 15 \rm{ms} pulsar in a 44 day orbit with a low mass white dwarf companion. We did not detect the companion in archival optical data, indicating that it must be older than 1200 Myr., Comment: 9 pages, 5 figures

Published
2018
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4. Search for transient gravitational waves in coincidence with short duration radio transients during 2007-2013

Author

The LIGO Scientific Collaboration, the Virgo Collaboration, others, Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Allen, B., Allocca, A., Altin, P. A., Anderson, S. B., Anderson, W. G., Arai, K., Araya, M. C., Arceneaux, C. C., Areeda, J. S., Arnaud, N., Arun, K. G., Ascenzi, S., Ashton, G., Ast, M., Aston, S. M., Astone, P., Aufmuth, P., Aulbert, C., Babak, S., Bacon, P., Bader, M. K. M., Baker, P. T., Baldaccini, F., Ballardin, G., Ballmer, S. W., Barayoga, J. C., Barclay, S. E., Barish, B. C., Barker, D., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Bartos, I., Bassiri, R., Basti, A., Batch, J. C., Baune, C., Bavigadda, V., Bazzan, M., Behnke, B., Bejger, M., Bell, A. S., Bell, C. J., Berger, B. K., Bergman, J., Bergmann, G., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Bhagwat, S., Bhandare, R., Bilenko, I. A., Billingsley, G., Birch, J., Birney, R., Biscans, S., Bisht, A., Bitossi, M., Biwer, C., Bizouard, M. A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bloemen, S., Bock, O., Bodiya, T. P., Boer, M., Bogaert, G., Bogan, C., Bohe, A., Bojtos, P., Bond, C., Bondu, F., Bonnand, R., Boom, B. A., Bork, R., Boschi, V., Bose, S., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Braginsky, V. B., Branchesi, M., Brau, J. E., Briant, T., Brillet, A., Brinkmann, M., Brisson, V., Brockill, P., Brooks, A. F., Brown, D. A., Brown, D. D., Brown, N. M., Buchanan, C. C., Buikema, A., Bulik, T., Bulten, H. J., Buonanno, A., Buskulic, D., Buy, C., Byer, R. L., Cadonati, L., Cagnoli, G., Cahillane, C., Bustillo, J. Calderón, Callister, T., Calloni, E., Camp, J. B., Cannon, K. C., Cao, J., Capano, C. D., Capocasa, E., Carbognani, F., Caride, S., Diaz, J. Casanueva, Casentini, C., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cepeda, C. B., Baiardi, L. Cerboni, Cerretani, G., Cesarini, E., Chakraborty, R., Chalermsongsak, T., Chamberlin, S. J., Chan, M., Chao, S., Charlton, P., Chassande-Mottin, E., Chen, H. Y., Chen, Y., Cheng, C., Chincarini, A., Chiummo, A., Cho, H. S., Cho, M., Chow, J. H., Christensen, N., Chu, Q., Chua, S., Chung, S., Ciani, G., Clara, F., Clark, J. A., Cleva, F., Coccia, E., Cohadon, P. -F., Colla, A., Collette, C. G., Cominsky, L., Constancio Jr, M., Conte, A., Conti, L., Cook, D., Corbitt, T. R., Cornish, N., Corsi, A., Cortese, S., Costa, C. A., Coughlin, M. W., Coughlin, S. B., Coulon, J. -P., Countryman, S. T., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Craig, K., Creighton, J. D. E., Cripe, J., Crowder, S. G., Cumming, A., Cunningham, L., Cuoco, E., Canton, T. Dal, Danilishin, S. L., D'Antonio, S., Danzmann, K., Darman, N. S., Dattilo, V., Dave, I., Daveloza, H. P., Davier, M., Davies, G. S., Daw, E. J., Day, R., DeBra, D., Debreczeni, G., Degallaix, J., De Laurentis, M., Deléglise, S., Del Pozzo, W., Denker, T., Dent, T., Dergachev, V., De Rosa, R., DeRosa, R. T., DeSalvo, R., Dhurandhar, S., Díaz, M. C., Di Fiore, L., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Di Pace, S., Di Palma, I., Di Virgilio, A., Dojcinoski, G., Dolique, V., Donovan, F., Dooley, K. L., Doravari, S., Douglas, R., Downes, T. P., Drago, M., Drever, R. W. P., Driggers, J. C., Du, Z., Ducrot, M., Dwyer, S. E., Edo, T. B., Edwards, M. C., Effler, A., Eggenstein, H. -B., Ehrens, P., Eichholz, J., Eikenberry, S. S., Engels, W., Essick, R. C., Etzel, T., Evans, M., Evans, T. M., Everett, R., Factourovich, M., Fafone, V., Fair, H., Fairhurst, S., Fan, X., Fang, Q., Farinon, S., Farr, B., Farr, W. M., Favata, M., Fays, M., Fehrmann, H., Fejer, M. M., Ferrante, I., Ferreira, E. C., Ferrini, F., Fidecaro, F., Fiori, I., Fiorucci, D., Fisher, R. P., Flaminio, R., Fletcher, M., Fournier, J. -D., Frasca, S., Frasconi, F., Frei, Z., Freise, A., Frey, R., Frey, V., Fricke, T. T., Fritschel, P., Frolov, V. V., Fulda, P., Fyffe, M., Gabbard, H. A. G., Gair, J. R., Gammaitoni, L., Gaonkar, S. G., Garufi, F., Gaur, G., Gehrels, N., Gemme, G., Genin, E., Gennai, A., George, J., Gergely, L., Germain, V., Ghosh, Archisman, Ghosh, S., Giaime, J. A., Giardina, K. D., Giazotto, A., Gill, K., Glaefke, A., Goetz, E., Goetz, R., Gondan, L., González, G., Castro, J. M. Gonzalez, Gopakumar, A., Gordon, N. A., Gorodetsky, M. L., Gossan, S. E., Gosselin, M., Gouaty, R., Grado, A., Graef, C., Graff, P. B., Granata, M., Grant, A., Gras, S., Gray, C., Greco, G., Green, A. C., Groot, P., Grote, H., Grunewald, S., Guidi, G. M., Guo, X., Gupta, A., Gupta, M. K., Gushwa, K. E., Gustafson, E. K., Gustafson, R., Hacker, J. J., Hall, B. R., Hall, E. D., Hammond, G., Haney, M., Hanke, M. M., Hanks, J., Hanna, C., Hannam, M. D., Hanson, J., Hardwick, T., Harms, J., Harry, G. M., Harry, I. W., Hart, M. J., Hartman, M. T., Haster, C. -J., Haughian, K., Heidmann, A., Heintze, M. C., Heitmann, H., Hello, P., Hemming, G., Hendry, M., Heng, I. S., Hennig, J., Heptonstall, A. W., Heurs, M., Hild, S., Hoak, D., Hodge, K. A., Hofman, D., Hollitt, S. E., Holt, K., Holz, D. E., Hopkins, P., Hosken, D. J., Hough, J., Houston, E. A., Howell, E. J., Hu, Y. M., Huang, S., Huerta, E. A., Huet, D., Hughey, B., Husa, S., Huttner, S. H., Huynh-Dinh, T., Idrisy, A., Indik, N., Ingram, D. R., Inta, R., Isa, H. N., Isac, J. -M., Isi, M., Islas, G., Isogai, T., Iyer, B. R., Izumi, K., Jacqmin, T., Jang, H., Jani, K., Jaranowski, P., Jawahar, S., Jiménez-Forteza, F., Johnson, W. W., Jones, D. I., Jones, R., Jonker, R. J. G., Ju, L., K, Haris, Kalaghatgi, C. V., Kalogera, V., Kandhasamy, S., Kang, G., Kanner, J. B., Karki, S., Kasprzack, M., Katsavounidis, E., Katzman, W., Kaufer, S., Kaur, T., Kawabe, K., Kawazoe, F., Kéfélian, F., Kehl, M. S., Keitel, D., Kelley, D. B., Kells, W., Kennedy, R., Key, J. S., Khalaidovski, A., Khalili, F. Y., Khan, I., Khan, S., Khan, Z., Khazanov, E. A., Kijbunchoo, N., Kim, Chunglee, Kim, J., Kim, K., Kim, Nam-Gyu, Kim, Namjun, Kim, Y. -M., King, E. J., King, P. J., Kinzel, D. L., Kissel, J. S., Kleybolte, L., Klimenko, S., Koehlenbeck, S. M., Kokeyama, K., Koley, S., Kondrashov, V., Kontos, A., Korobko, M., Korth, W. Z., Kowalska, I., Kozak, D. B., Kringel, V., Królak, A., Krueger, C., Kuehn, G., Kumar, P., Kuo, L., Kutynia, A., Lackey, B. D., Landry, M., Lange, J., Lantz, B., Lasky, P. D., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., Lebigot, E. O., Lee, C. H., Lee, H. K., Lee, H. M., Lee, K., Lenon, A., Leonardi, M., Leong, J. R., Leroy, N., Letendre, N., Levin, Y., Levine, B. M., Li, T. G. F., Libson, A., Littenberg, T. B., Lockerbie, N. A., Logue, J., Lombardi, A. L., Lord, J. E., Lorenzini, M., Loriette, V., Lormand, M., Losurdo, G., Lough, J. D., Lück, H., Lundgren, A. P., Luo, J., Lynch, R., Ma, Y., MacDonald, T., Machenschalk, B., MacInnis, M., Macleod, D. M., Magaña-Sandoval, F., Magee, R. M., Mageswaran, M., Majorana, E., Maksimovic, I., Malvezzi, V., Man, N., Mandic, V., Mangano, V., Mansell, G. L., Manske, M., Mantovani, M., Marchesoni, F., Marion, F., Márka, S., Márka, Z., Markosyan, A. S., Maros, E., Martelli, F., Martellini, L., Martin, I. W., Martin, R. M., Martynov, D. V., Marx, J. N., Mason, K., Masserot, A., Massinger, T. J., Masso-Reid, M., Mastrogiovanni, S., Matichard, F., Matone, L., Mavalvala, N., Mazumder, N., Mazzolo, G., McCarthy, R., McClelland, D. E., McCormick, S., McGuire, S. C., McIntyre, G., McIver, J., McManus, D. J., McWilliams, S. T., Meacher, D., Meadors, G. D., Meidam, J., Melatos, A., Mendell, G., Mendoza-Gandara, D., Mercer, R. A., Merilh, E. L., Merzougui, M., Meshkov, S., Messenger, C., Messick, C., Metzdorff, R., Meyers, P. M., Mezzani, F., Miao, H., Michel, C., Middleton, H., Mikhailov, E. E., Milano, L., Miller, A. L., Miller, J., Millhouse, M., Minenkov, Y., Ming, J., Mirshekari, S., Mishra, C., Mitra, S., Mitrofanov, V. P., Mitselmakher, G., Mittleman, R., Moggi, A., Mohan, M., Mohapatra, S. R. P., Montani, M., Moore, B. C., Moore, C. J., Moraru, D., Moreno, G., Morriss, S. R., Mossavi, K., Mours, B., Mow-Lowry, C. M., Mueller, C. L., Mueller, G., Muir, A. W., Mukherjee, Arunava, Mukherjee, D., Mukherjee, S., Mukund, K. N., Mullavey, A., Munch, J., Murphy, D. J., Murray, P. G., Mytidis, A., Nardecchia, I., Naticchioni, L., Nayak, R. K., Necula, V., Nedkova, K., Nelemans, G., Neri, M., Neunzert, A., Newton, G., Nguyen, T. T., Nielsen, A. B., Nissanke, S., Nitz, A., Nocera, F., Nolting, D., Normandin, M. E. N., Nuttall, L. K., Oberling, J., Ochsner, E., O'Dell, J., Oelker, E., Ogin, G. H., Oh, J. J., Oh, S. H., Ohme, F., Oliver, M., Oppermann, P., Oram, Richard J., O'Reilly, B., O'Shaughnessy, R., Ott, C. D., Ottaway, D. J., Ottens, R. S., Overmier, H., Owen, B. J., Pai, A., Pai, S. A., Palamos, J. R., Palashov, O., Palomba, C., Pal-Singh, A., Pan, H., Pankow, C., Pannarale, F., Pant, B. C., Paoletti, F., Paoli, A., Papa, M. A., Paris, H. R., Parker, W., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patricelli, B., Patrick, Z., Pearlstone, B. L., Pedraza, M., Pedurand, R., Pekowsky, L., Pele, A., Penn, S., Pereira, R., Perreca, A., Phelps, M., Piccinni, O. J., Pichot, M., Piergiovanni, F., Pierro, V., Pillant, G., Pinard, L., Pinto, I. M., Pitkin, M., Pletsch, H. J., Poggiani, R., Popolizio, P., Post, A., Powell, J., Prasad, J., Predoi, V., Premachandra, S. S., Prestegard, T., Price, L. R., Prijatelj, M., Principe, M., Privitera, S., Prodi, G. A., Prokhorov, L., Puncken, O., Punturo, M., Puppo, P., Pürrer, M., Qi, H., Qin, J., Quetschke, V., Quintero, E. A., Quitzow-James, R., Raab, F. J., Rabeling, D. S., Radkins, H., Raffai, P., Raja, S., Rakhmanov, M., Rapagnani, P., Raymond, V., Razzano, M., Re, V., Read, J., Reed, C. M., Regimbau, T., Rei, L., Reid, S., Reitze, D. H., Rew, H., Ricci, F., Riles, K., Robertson, N. A., Robie, R., Robinet, F., Rocchi, A., Rolland, L., Rollins, J. G., Roma, V. J., Romano, J. D., Romano, R., Romanov, G., Romie, J. H., Rosińska, D., Rowan, S., Rüdiger, A., Ruggi, P., Ryan, K., Sachdev, S., Sadecki, T., Sadeghian, L., Salconi, L., Saleem, M., Salemi, F., Samajdar, A., Sammut, L., Sanchez, E. J., Sandberg, V., Sandeen, B., Sanders, J. R., Sassolas, B., Sathyaprakash, B. S., Saulson, P. R., Sauter, O. E. S., Savage, R. L., Sawadsky, A., Schale, P., Schilling, R., Schmidt, J., Schmidt, P., Schnabel, R., Schofield, R. M. S., Schönbeck, A., Schreiber, E., Schuette, D., Schutz, B. F., Scott, J., Scott, S. M., Sellers, D., Sentenac, D., Sequino, V., Sergeev, A., Serna, G., Setyawati, Y., Sevigny, A., Shaddock, D. A., Shahriar, M. S., Shaltev, M., Shao, Z., Shapiro, B., Shawhan, P., Sheperd, A., Shoemaker, D. H., Shoemaker, D. M., Siellez, K., Siemens, X., Sieniawska, M., Sigg, D., Silva, A. D., Simakov, D., Singer, A., Singer, L. P., Singh, A., Singh, R., Singhal, A., Sintes, A. M., Slagmolen, B. J. J., Smith, J. R., Smith, N. D., Smith, R. J. E., Son, E. J., Sorazu, B., Sorrentino, F., Souradeep, T., Srivastava, A. K., Staley, A., Steinke, M., Steinlechner, J., Steinlechner, S., Steinmeyer, D., Stephens, B. C., Stiles, D., Stone, R., Strain, K. A., Straniero, N., Stratta, G., Strauss, N. A., Strigin, S., Sturani, R., Stuver, A. L., Summerscales, T. Z., Sun, L., Sutton, P. J., Swinkels, B. L., Szczepańczyk, M. J., Tacca, M., Talukder, D., Tanner, D. B., Tápai, M., Tarabrin, S. P., Taracchini, A., Taylor, R., Theeg, T., Thirugnanasambandam, M. P., Thomas, E. G., Thomas, M., Thomas, P., Thorne, K. A., Thrane, E., Tiwari, S., Tiwari, V., Tokmakov, K. V., Tomlinson, C., Tonelli, M., Torres, C. V., Torrie, C. I., Töyrä, D., Travasso, F., Traylor, G., Trifirò, D., Tringali, M. C., Trozzo, L., Tse, M., Turconi, M., Tuyenbayev, D., Ugolini, D., Unnikrishnan, C. S., Urban, A. L., Usman, S. A., Vahlbruch, H., Vajente, G., Valdes, G., van Bakel, N., van Beuzekom, M., Brand, J. F. J. van den, Broeck, C. Van Den, Vander-Hyde, D. C., van der Schaaf, L., van Heijningen, J. V., van Veggel, A. A., Vardaro, M., Vass, S., Vasúth, M., Vaulin, R., Vecchio, A., Vedovato, G., Veitch, J., Veitch, P. J., Venkateswara, K., Verkindt, D., Vetrano, F., Viceré, A., Vinciguerra, S., Vine, D. J., Vinet, J. -Y., Vitale, S., Vo, T., Vocca, H., Vorvick, C., Voss, D. V., Vousden, W. D., Vyatchanin, S. P., Wade, A. R., Wade, L. E., Wade, M., Walker, M., Wallace, L., Walsh, S., Wang, G., Wang, H., Wang, M., Wang, X., Wang, Y., Ward, R. L., Warner, J., Was, M., Weaver, B., Wei, L. -W., Weinert, M., Weinstein, A. J., Weiss, R., Welborn, T., Wen, L., Wessels, P., Westphal, T., Wette, K., Whelan, J. T., Whitcomb, S. E., White, D. J., Whiting, B. F., Williams, R. D., Williamson, A. R., Willis, J. L., Willke, B., Wimmer, M. H., Winkler, W., Wipf, C. C., Wittel, H., Woan, G., Worden, J., Wright, J. L., Wu, G., Yablon, J., Yam, W., Yamamoto, H., Yancey, C. C., Yap, M. J., Yu, H., Yvert, M., zny, A. Zadro., Zangrando, L., Zanolin, M., Zendri, J. -P., Zevin, M., Zhang, F., Zhang, L., Zhang, M., Zhang, Y., Zhao, C., Zhou, M., Zhou, Z., Zhu, X. J., Zucker, M. E., Zuraw, S. E., Zweizig, J., Archibald, A. M., Banaszak, S., Berndsen, A., Boyles, J., Cardoso, R. F., Chawla, P., Cherry, A., Dartez, L. P., Day, D., Epstein, C. R., Ford, A. J., Flanigan, J., Garcia, A., Hessels, J. W. T., Hinojosa, J., Jenet, F. A., Karako-Argaman, C., Kaspi, V. M., Keane, E. F., Kondratiev, V. I., Kramer, M., Leake, S., Lorimer, D., Lunsford, G., Lynch, R. S., Martinez, J. G., Mata, A., McLaughlin, M. A., McPhee, C. A., Penucci, T., Ransom, S., Roberts, M. S. E., Rohr, M. D. W., Stairs, I. H., Stovall, K., van Leeuwen, J., Walker, A. N., and Wells, B. L.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present an archival search for transient gravitational-wave bursts in coincidence with 27 single pulse triggers from Green Bank Telescope pulsar surveys, using the LIGO, Virgo and GEO interferometer network. We also discuss a check for gravitational-wave signals in coincidence with Parkes Fast Radio Bursts using similar methods. Data analyzed in these searches were collected between 2007 and 2013. Possible sources of emission of both short-duration radio signals and transient gravitational-wave emission include starquakes on neutron stars, binary coalescence of neutron stars, and cosmic string cusps. While no evidence for gravitational-wave emission in coincidence with these radio transients was found, the current analysis serves as a prototype for similar future searches using more sensitive second-generation interferometers.

Published
2016
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6. The Green Bank Northern Celestial Cap Pulsar Survey - I: Survey Description, Data Analysis, and Initial Results

Author

Stovall, K., Lynch, R. S., Ransom, S. M., Archibald, A. M., Banaszak, S., Biwer, C. M., Boyles, J., Dartez, L. P., Day, D., Ford, A. J., Flanigan, J., Garcia, A., Hessels, J. W. T., Hinojosa, J., Jenet, F. A., Kaplan, D. L., Karako-Argaman, C., Kaspi, V. M., Kondratiev, V. I., Leake, S., Lorimer, D. R., Lunsford, G., Martinez, J. G., Mata, A., McLaughlin, M. A., Roberts, M. S. E., Rohr, M. D., Siemens, X., Stairs, I. H., van Leeuwen, J., Walker, A. N., and Wells, B. L.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Astrophysics of Galaxies
Abstract

We describe an ongoing search for pulsars and dispersed pulses of radio emission, such as those from rotating radio transients (RRATs) and fast radio bursts (FRBs), at 350 MHz using the Green Bank Telescope. With the Green Bank Ultimate Pulsar Processing Instrument, we record 100 MHz of bandwidth divided into 4,096 channels every 81.92 $\mu s$. This survey will cover the entire sky visible to the Green Bank Telescope ($\delta > -40^\circ$, or 82% of the sky) and outside of the Galactic Plane will be sensitive enough to detect slow pulsars and low dispersion measure ($<$30 $\mathrm{pc\,cm^{-3}}$) millisecond pulsars (MSPs) with a 0.08 duty cycle down to 1.1 mJy. For pulsars with a spectral index of $-$1.6, we will be 2.5 times more sensitive than previous and ongoing surveys over much of our survey region. Here we describe the survey, the data analysis pipeline, initial discovery parameters for 62 pulsars, and timing solutions for 5 new pulsars. PSR J0214$+$5222 is an MSP in a long-period (512 days) orbit and has an optical counterpart identified in archival data. PSR J0636$+$5129 is an MSP in a very short-period (96 minutes) orbit with a very low mass companion (8 $M_\mathrm{J}$). PSR J0645$+$5158 is an isolated MSP with a timing residual RMS of 500 ns and has been added to pulsar timing array experiments. PSR J1434$+$7257 is an isolated, intermediate-period pulsar that has been partially recycled. PSR J1816$+$4510 is an eclipsing MSP in a short-period orbit (8.7 hours) and may have recently completed its spin-up phase., Comment: 18 pages, 10 figures, 5 tables, accepted by ApJ

Published
2014
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8. Searching for pulsars using image pattern recognition

Author

Zhu, W. W., Berndsen, A., Madsen, E. C., Tan, M., Stairs, I. H., Brazier, A., Lazarus, P., Lynch, R., Scholz, P., Stovall, K., Ransom, S. M., Banaszak, S., Biwer, C. M., Cohen, S., Dartez, L. P., Flanigan, J., Lunsford, G., Martinez, J. G., Mata, A., Rohr, M., Walker, A., Allen, B., Bhat, N. D. R., Bogdanov, S., Camilo, F., Chatterjee, S., Cordes, J. M., Crawford, F., Deneva, J. S., Desvignes, G., Ferdman, R. D., Freire, P. C. C., Hessels, J. W. T., Jenet, F. A., Kaplan, D. L., Kaspi, V. M., Knispel, B., Lee, K. J., van Leeuwen, J., Lyne, A. G., McLaughlin, M. A., Siemens, X., Spitler, L. G., and Verkataraman, A.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

In this paper, we present a novel artificial intelligence (AI) program that identifies pulsars from recent surveys using image pattern recognition with deep neural nets---the PICS (Pulsar Image-based Classification System) AI. The AI mimics human experts and distinguishes pulsars from noise and interferences by looking for patterns from candidate. The information from each pulsar candidate is synthesized in four diagnostic plots, which consist of up to thousands pixel of image data. The AI takes these data from each candidate as its input and uses thousands of such candidates to train its ~9000 neurons. Different from other pulsar selection programs which use pre-designed patterns, the PICS AI teaches itself the salient features of different pulsars from a set of human-labeled candidates through machine learning. The deep neural networks in this AI system grant it superior ability in recognizing various types of pulsars as well as their harmonic signals. The trained AI's performance has been validated with a large set of candidates different from the training set. In this completely independent test, PICS ranked 264 out of 277 pulsar-related candidates, including all 56 previously known pulsars, to the top 961 (1%) of 90008 test candidates, missing only 13 harmonics. The first non-pulsar candidate appears at rank 187, following 45 pulsars and 141 harmonics. In other words, 100% of the pulsars were ranked in the top 1% of all candidates, while 80% were ranked higher than any noise or interference. The performance of this system can be improved over time as more training data are accumulated. This AI system has been integrated into the PALFA survey pipeline and has discovered six new pulsars to date., Comment: 29 pages, 9 figures, two tables, accepted by ApJ

Published
2013
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9. PEACE: Pulsar Evaluation Algorithm for Candidate Extraction -- A software package for post-analysis processing of pulsar survey candidates

Author

Lee, K. J., Stovall, K., Jenet, F. A., Martinez, J., Dartez, L. P., Mata, A., Lunsford, G., Cohen, S., Biwer, C. . M., Rohr, M., Flanigan, J., Walker, A., Banaszak, S., Allen, B., Barr, E. D., Bhat, N. D. R., Bogdanov, S., Brazier, A., Camilo, F., Champion, D. J., Chatterjee, S., Cordes, J., Crawford, F., Deneva, J., Desvignes, G., Ferdman, R. D., Freire, P., Hessels, J. W. T., Karuppusamy, R., Kaspi, V. M., Knispel, B., Kramer, M., Lazarus, P., Lynch, R., Lyne, A., McLaughlin, M., Ransom, S., Scholz, P., Siemens, X., Spitler, L., Stairs, I., Tan, M., van Leeuwen, J., and Zhu, W. W.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

Modern radio pulsar surveys produce a large volume of prospective candidates, the majority of which are polluted by human-created radio frequency interference or other forms of noise. Typically, large numbers of candidates need to be visually inspected in order to determine if they are real pulsars. This process can be labor intensive. In this paper, we introduce an algorithm called PEACE (Pulsar Evaluation Algorithm for Candidate Extraction) which improves the efficiency of identifying pulsar signals. The algorithm ranks the candidates based on a score function. Unlike popular machine-learning based algorithms, no prior training data sets are required. This algorithm has been applied to data from several large-scale radio pulsar surveys. Using the human-based ranking results generated by students in the Arecibo Remote Command enter programme, the statistical performance of PEACE was evaluated. It was found that PEACE ranked 68% of the student-identified pulsars within the top 0.17% of sorted candidates, 95% within the top 0.34%, and 100% within the top 3.7%. This clearly demonstrates that PEACE significantly increases the pulsar identification rate by a factor of about 50 to 1000. To date, PEACE has been directly responsible for the discovery of 47 new pulsars, 5 of which are millisecond pulsars that may be useful for pulsar timing based gravitational-wave detection projects., Comment: 7 pages, 4 figures, accepted by MNRAS

Published
2013
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10. Discovery of the Optical/Ultraviolet/Gamma-ray Counterpart to the Eclipsing Millisecond Pulsar J1816+4510

Author

Kaplan, D. L., Stovall, K., Ransom, S. M., Roberts, M. S. E., Kotulla, R., Archibald, A. M., Biwer, C. M., Boyles, J., Dartez, L., Day, D. F., Ford, A. J., Garcia, A., Hessels, J. W. T., Jenet, F. A., Karako, C., Kaspi, V. M., Kondratiev, V. I., Lorimer, D. R., Lynch, R. S., McLaughlin, M. A., Rohr, M. D. W., Siemens, X., Stairs, I. H., and van Leeuwen, J.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

The energetic, eclipsing millisecond pulsar J1816+4510 was recently discovered in a low-frequency radio survey with the Green Bank Telescope. With an orbital period of 8.7 hr and minimum companion mass of 0.16 Msun it appears to belong to an increasingly important class of pulsars that are ablating their low-mass companions. We report the discovery of the gamma-ray counterpart to this pulsar, and present a likely optical/ultraviolet counterpart as well. Using the radio ephemeris we detect pulsations in the unclassified gamma-ray source 2FGL J1816.5+4511, implying an efficiency of ~25% in converting the pulsar's spin-down luminosity into gamma-rays and adding PSR J1816+4510 to the large number of millisecond pulsars detected by Fermi. The likely optical/UV counterpart was identified through position coincidence (<0.1") and unusual colors. Assuming that it is the companion, with R=18.27+/-0.03 mag and effective temperature >15,000 K it would be among the brightest and hottest of low-mass pulsar companions, and appears qualitatively different from other eclipsing pulsar systems. In particular, current data suggest that it is a factor of two larger than most white dwarfs of its mass, but a factor of four smaller than its Roche lobe. We discuss possible reasons for its high temperature and odd size, and suggest that it recently underwent a violent episode of mass loss. Regardless of origin, its brightness and the relative unimportance of irradiation make it an ideal target for a mass, and hence a neutron star mass, determination., Comment: 10 pages, 6 figures. Accepted for publication in the Astrophysical Journal

Published
2012
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12. Improved diagnosis by automated macro‐ and micro‐anatomical region mapping of skin photographs

Author

Amruthalingam, L, Gottfrois, P, Gonzalez Jimenez, A, Gökduman, B, Kunz, M, Koller, T, Pouly, M, Navarini, A A, Maul, Julia‐Tatjana, Maul, Lara V, Kostner, Lisa, Jamiolkowski, Dagmar, Erni, Barbara, Hsu, Christophe, Meienberger, Nina, Nicolas Khouri, M, Christiane Palm, M, Damian Wuethrich, M, Anliker, Madeleine, Manabu Rohr, M, Horvat, Matija, Eckert, Noemie, Kei Mathis, M, Salvatore Conticello, M, Baskaralingam, Sijamini, Rotondi, Lea, Pascal Kobel, M, University of Zurich, and Navarini, A A

Subjects
2708 Dermatology, Infectious Diseases, 10177 Dermatology Clinic, 610 Medicine & health, 2725 Infectious Diseases, Dermatology
Published
2022

13. Mixed-Methods Evaluation von 'KUNOLand' – ein Modellprojekt zur Abschwächung pädiatrischer Versorgungsengpässe im ländlichen Raum

Author

Rohr, M, Reng, M, Melter, M, and Brandstetter, S

Subjects
ddc: 610, Medicine and health
Abstract

Hintergrund und Stand (inter)nationaler Forschung: In den ländlichen Regionen Ostbayerns ist eine flächendeckende kinder- und jugendmedizinische Versorgung teilweise nicht gegeben. Gezielte Kooperation zwischen pädiatrischen und allgemeinärztlichen Versorgungsakteuren einerseits [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2022
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16. Akzeptanz einer komplexen Intervention: Ergebnisse einer qualitativen Befragung von Patienten/-innen und Angehörigen zum Angebot einer Intensiv-Nachsorgeambulanz im Rahmen einer randomisierten kontrollierten Studie (PINA)

Author

Bernardi, C, Drewitz, KP, Brandstetter, S, Pielmeier, K, Rohr, M, Brunnthaler, V, Fisser, C, Malfertheiner, M, and Apfelbacher, C

Subjects
ddc: 610, Medicine and health
Abstract

Hintergrund und Stand (inter)nationaler Forschung: Ein längerer Aufenthalt auf Intensivstation (ITS) führt häufig zu chronischen körperlichen und psychischen Beeinträchtigungen. Eine strukturierte Versorgung, welche die Patienten/-innen nach der Entlassung begleitet, fehlt [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Published
2021
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17. Guidelines for laparoscopic treatment of ventral and incisional abdominal wall hernias (International Endohernia Society [IEHS])—Part 2

Author

Bittner, R., Bingener-Casey, J., Dietz, U., Fabian, M., Ferzli, G. S., Fortelny, R. H., Köckerling, F., Kukleta, J., LeBlanc, K., Lomanto, D., Misra, M. C., Morales-Conde, S., Ramshaw, B., Reinpold, W., Rim, S., Rohr, M., Schrittwieser, R., Simon, Th., Smietanski, M., Stechemesser, B., Timoney, M., and Chowbey, P.

Published
2014
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18. Guidelines for laparoscopic treatment of ventral and incisional abdominal wall hernias (International Endohernia Society [IEHS])—Part III

Author

Bittner, R., Bingener-Casey, J., Dietz, U., Fabian, M., Ferzli, G., Fortelny, R., Köckerling, F., Kukleta, J., LeBlanc, K., Lomanto, D., Misra, M., Morales-Conde, S., Ramshaw, B., Reinpold, W., Rim, S., Rohr, M., Schrittwieser, R., Simon, Th., Smietanski, M., Stechemesser, B., Timoney, M., and Chowbey, P.

Published
2014
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19. Guidelines for laparoscopic treatment of ventral and incisional abdominal wall hernias (International Endohernia Society (IEHS)—Part 1

Author

Bittner, R., Bingener-Casey, J., Dietz, U., Fabian, M., Ferzli, G. S., Fortelny, R. H., Köckerling, F., Kukleta, J., LeBlanc, K., Lomanto, D., Misra, M. C., Bansal, V. K., Morales-Conde, S., Ramshaw, B., Reinpold, W., Rim, S., Rohr, M., Schrittwieser, R., Simon, Th., Smietanski, M., Stechemesser, B., Timoney, M., and Chowbey, P.

Published
2014
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20. Improved diagnosis by automated macro‐ and micro‐anatomical region mapping of skin photographs.

Author

Amruthalingam, L., Gottfrois, P., Gonzalez Jimenez, A., Gökduman, B., Kunz, M., Koller, T., Pouly, M., Navarini, A.A., Maul, Julia‐Tatjana, Maul, Lara V., Kostner, Lisa, Jamiolkowski, Dagmar, Erni, Barbara, Hsu, Christophe, Meienberger, Nina, Nicolas Khouri, M., Christiane Palm, M., Damian Wuethrich, M., Anliker, Madeleine, and Manabu Rohr, M.

Subjects
DEEP learning, IMAGE retrieval, PHOTOGRAPHS, INDEPENDENT sets, DIFFERENTIAL diagnosis
Abstract

Background: The exact location of skin lesions is key in clinical dermatology. On one hand, it supports differential diagnosis (DD) since most skin conditions have specific predilection sites. On the other hand, location matters for dermatosurgical interventions. In practice, lesion evaluation is not well standardized and anatomical descriptions vary or lack altogether. Automated determination of anatomical location could benefit both situations. Objective: Establish an automated method to determine anatomical regions in clinical patient pictures and evaluate the gain in DD performance of a deep learning model (DLM) when trained with lesion locations and images. Methods: Retrospective study based on three datasets: macro‐anatomy for the main body regions with 6000 patient pictures partially labelled by a student, micro‐anatomy for the ear region with 182 pictures labelled by a student and DD with 3347 pictures of 16 diseases determined by dermatologists in clinical settings. For each dataset, a DLM was trained and evaluated on an independent test set. The primary outcome measures were the precision and sensitivity with 95% CI. For DD, we compared the performance of a DLM trained with lesion pictures only with a DLM trained with both pictures and locations. Results: The average precision and sensitivity were 85% (CI 84–86), 84% (CI 83–85) for macro‐anatomy, 81% (CI 80–83), 80% (CI 77–83) for micro‐anatomy and 82% (CI 78–85), 81% (CI 77–84) for DD. We observed an improvement in DD performance of 6% (McNemar test P‐value 0.0009) for both average precision and sensitivity when training with both lesion pictures and locations. Conclusion: Including location can be beneficial for DD DLM performance. The proposed method can generate body region maps from patient pictures and even reach surgery relevant anatomical precision, e.g. the ear region. Our method enables automated search of large clinical databases and make targeted anatomical image retrieval possible. [ABSTRACT FROM AUTHOR]

Published
2022
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25. Additional file 1 of Piloting an ICU follow-up clinic to improve health-related quality of life in ICU survivors after a prolonged intensive care stay (PINA): study protocol for a pilot randomised controlled trial

Author

Rohr, M., S. Brandstetter, C. Bernardi, C. Fisser, K. P. Drewitz, V. Brunnthaler, K. Schmidt, M. V. Malfertheiner, and C. J. Apfelbacher

Abstract

Additional file 1:. SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents

Published
2021
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27. Erfahrungen von Gesundheitsdienstleistenden in der Akutversorgung von Covid-19 Erkrankten in Deutschland: qualitative Interviewstudie

Author

Rohr, M, Hörold, M, Drewitz, KP, Piel, J, Brunnthaler, V, Hasenpusch, C, Hrudey, I, Ulrich, A, Otto, N, Hupach, H, Brandstetter, S, and Apfelbacher, C

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Hintergrund und Stand (inter)nationaler Forschung: Im Frühstadium der COVID-19 Pandemie war auch in Deutschland mit einer Mehrbelastung oder Überlastung der Krankenhäuser (KH) und speziell der Intensivstationen (ITS) zu rechnen. Im Rahmen des Krankenhausmanagements waren dabei die Handlungs-[zum vollständigen Text gelangen Sie über die oben angegebene URL], 19. Deutscher Kongress für Versorgungsforschung (DKVF)

Published
2020
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29. Limitations of Pacemaker Spike Detection in Capacitive ECGs via Deep Learning

Author

Rohr Maurice, Huang Zhaolan, Umutcan Uguz Durmus, Dettori Rosalia, Napp Andreas, Walter Marian, Leonhardt Steffen, and Hoog Antink Christoph

Subjects
capacitive ecg, pacemaker spikes, convolutional network, receptive field., Medicine
Abstract

Pacemaker spike detection is an important step in monitoring paced patients. Capacitive ECG facilitates unobtrusive monitoring of subjects during daily routines such as driving. Robust algorithms are required to deal with low signal quality and artifacts, e.g. by employing fusion of multiple signal channels. Due to the low signal-to-noise ratio of the measurement, there are limitations to detection accuracy compared to conventional ECG monitors. Especially low voltage stimulations such as bipolar pacemaker spikes are hard to detect. We present a convolutional network approach to improve on recent signal processing algorithms.We show a realistic evaluation of its performance using leave-one-subject-out cross validation (LOOCV), its dependence on the size of the receptive field, and an estimation of an upper performance bound.

Published
2023
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30. Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe

Author

Güney Gökhan, Jansen Talisa S., Braczynski Anne K., Rohr Maurice, Dill Sebastian, and Hoog Antink Christoph

Subjects
blinking reflex, video-based analysis, mediapipe, gender-based analysis, healthy adults, Medicine
Abstract

The glabellar tapping reflex (GTR) is a sign related to brain conditions and can be analyzed by clinicians for diagnostic purposes. To facilitate the quantitative analysis of this reflex, we developed a video-based tool using the MediaPipe framework. We tested our approach on healthy subjects to assess the effect of age and gender on reaction time and blinking duration. The reaction time results show that the young group has a mean value (±standard deviation) of 0.091 (±0.066) seconds and the old group has 0.085 (±0.052) seconds, while female and male subjects have 0.097 (±0.053) seconds and 0.080 (±0.064) seconds respectively. For blinking duration, males have a mean value of 0.216 (±0.077) seconds and, females have 0.189 (±0.115) seconds, while old and young groups have 0.132 (±0.039) seconds 0.267(±0.084) seconds respectively.

Published
2023
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31. Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises

Author

Dill Sebastian, Rösch Andreas, Rohr Maurice, Güney Gökhan, De Witte Luisa, Schwartz Elias, and Hoog Antink Christoph

Subjects
computer vision, pose estimation, motion analysis, mediapipe, accuracy evaluation, Medicine
Abstract

With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology. One of the most popular libraries for camera-based pose estimation is MediaPipe Pose due to its computational efficiency, ease of use, and the fact that it is open-source. However, little work has been performed to establish how accurate the library is and whether it is suitable for usage in, for example, physical therapy. This paper aims to provide an initial assessment of this. We find that the pose estimation is highly dependent on the camera’s viewing angle as well as the performed exercise. While high accuracy can be achieved under optimal conditions, the accuracy quickly decreases when the conditions are less favourable.

Published
2023
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37. The Green Bank North Celestial Cap Pulsar Survey. IV. Four New Timing Solutions

Author

Aloisi, R. J., primary, Cruz, A., additional, Daniels, L., additional, Meyers, N., additional, Roekle, R., additional, Schuett, A., additional, Swiggum, J. K., additional, DeCesar, M. E., additional, Kaplan, D. L., additional, Lynch, R. S., additional, Stovall, K., additional, Levin, Lina, additional, Archibald, A. M., additional, Banaszak, S., additional, Biwer, C. M., additional, Boyles, J., additional, Chawla, P., additional, Dartez, L. P., additional, Cui, B., additional, Day, D. F., additional, Ford, A. J., additional, Flanigan, J., additional, Fonseca, E., additional, Hessels, J. W. T., additional, Hinojosa, J., additional, Karako-Argaman, C., additional, Kaspi, V. M., additional, Kondratiev, V. I., additional, Leake, S., additional, Lunsford, G., additional, Martinez, J. G., additional, Mata, A., additional, McLaughlin, M. A., additional, Noori, H. Al, additional, Ransom, S. M., additional, Roberts, M. S. E., additional, Rohr, M. D., additional, Siemens, X., additional, Spiewak, R., additional, Stairs, I. H., additional, van Leeuwen, J., additional, Walker, A. N., additional, and Wells, B. L., additional

Published
2019
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44. Besondere optische Instrumente

Author

Löwe, F., von Rohr, M., Boegehold, H., Eppenstein, O., Geiger, H., editor, Scheel, Karl, editor, Boegehold, H., editor, Eppenstein, O., editor, Hartinger, H., editor, Jentzsch, F., editor, Kessler, H., editor, Löwe, F., editor, Merté, W., editor, von Rohr, M., editor, and Konen, H., editor

Published
1927
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47. Krankheiten der Augen

Author

Axenfeld, Th., Bernheimer, St., Bielschowsky, A., Birch-Hirschfeld, A., Cords, R., Elschnig, A., Eversbusch, O., Fick, A., Fleischer, B., Franke, E., Garten, S., Gilbert, W., Graefe, Alfr., Greeff, R., Groenouw, A., Grunert, K., Haab, O., Heddaeus, E., Heine, L., Hering, E., Hertel, E., von Hess, C., von Hippel, E., Hirschberg, J., Hofmann, F. B., van de Hoeve, J., Igersheimer, J., Kallius, E., Köllner, J., Kraemer, A., Krückmann, E., Kuhnt, H., Kümmell, R., Landolt, F., Lauber, H., Leber, Th., Lenz, G., Linck, A., Löhlein, W., Löwenstein, A., Merkel, F., von Michel, J., Nussbaum, M., Oppenheimer, E. H., Peters, A., Pütter, A., von Rohr, M., Saemisch, Th., Sattler, H., Sattler, C. H., Schirmer, O., Schlaefke, W., Schleich, G., Schloffer, H., Schmidt-Rimpler, H., Schultze, Oscar, Seefelder, R., Snellen, H., Stock, W., v. Szily, A., Uhthoff, W., Virchow, H., Wagenmann, A., Wessely, K., Wolfrum, M., Axenfeld, Th., editor, Bernheimer, St., editor, Bielschowsky, A., editor, Birch-Hirschfeld, A., editor, Cords, R., editor, Elschnig, A., editor, Eversbusch, O., editor, Fick, A., editor, Fleischer, B., editor, Franke, E., editor, Garten, S., editor, Gilbert, W., editor, Graefe, Alfr., editor, Greeff, R., editor, Groenouw, A., editor, Grunert, K., editor, Haab, O., editor, Heddaeus, E., editor, Heine, L., editor, Hering, E., editor, Hertel, E., editor, von Hess, C., editor, von Hippel, E., editor, Hirschberg, J., editor, Hofmann, F. B., editor, van de Hoeve, J., editor, Igersheimer, J., editor, Kallius, E., editor, Köllner, J., editor, Kraemer, A., editor, Krückmann, E., editor, Kuhnt, H., editor, Kümmell, R., editor, Landolt, F., editor, Lauber, H., editor, Leber, Th., editor, Lenz, G., editor, Linck, A., editor, Löhlein, W., editor, Löwenstein, A., editor, Merkel, F., editor, von Michel, J., editor, Nussbaum, M., editor, Oppenheimer, E. H., editor, Peters, A., editor, Pütter, A., editor, von Rohr, M., editor, Saemisch, Th., editor, Sattler, H., editor, Sattler, C. H., editor, Schirmer, O., editor, Schlaefke, W., editor, Schleich, G., editor, Schloffer, H., editor, Schmidt-Rimpler, H., editor, Schultze, Oscar, editor, Seefelder, R., editor, Snellen, H., editor, Stock, W., editor, v. Szily, A., editor, Uhthoff, W., editor, Virchow, H., editor, Wagenmann, A., editor, Wessely, K., editor, and Wolfrum, M., editor

Published
1922
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48. Einleitung und Geschichte

Author

Axenfeld, Th., Bernheimer, St., Bielschowsky, A., Birch-Hirschfeld, A., Cords, R., Elschnig, A., Eversbusch, O., Fick, A., Fleischer, B., Franke, E., Garten, S., Gilbert, W., Graefe, Alfr., Greeff, R., Groenouw, A., Grunert, K., Haab, O., Heddaeus, E., Heine, L., Hering, E., Hertel, E., von Hess, C., von Hippel, E., Hirschberg, J., Hofmann, F. B., van de Hoeve, J., Igersheimer, J., Kallius, E., Köllner, J., Kraemer, A., Krückmann, E., Kuhnt, H., Kümmell, R., Landolt, F., Lauber, H., Leber, Th., Lenz, G., Linck, A., Löhlein, W., Löwenstein, A., Merkel, F., von Michel, J., Nussbaum, M., Oppenheimer, E. H., Peters, A., Pütter, A., von Rohr, M., Saemisch, Th., Sattler, H., Sattler, C. H., Schirmer, O., Schlaefke, W., Schleich, G., Schloffer, H., Schmidt-Rimpler, H., Schultze, Oscar, Seefelder, R., Snellen, H., Stock, W., v. Szily, A., Uhthoff, W., Virchow, H., Wagenmann, A., Wessely, K., Wolfrum, M., Axenfeld, Th., editor, Bernheimer, St., editor, Bielschowsky, A., editor, Birch-Hirschfeld, A., editor, Cords, R., editor, Elschnig, A., editor, Eversbusch, O., editor, Fick, A., editor, Fleischer, B., editor, Franke, E., editor, Garten, S., editor, Gilbert, W., editor, Graefe, Alfr., editor, Greeff, R., editor, Groenouw, A., editor, Grunert, K., editor, Haab, O., editor, Heddaeus, E., editor, Heine, L., editor, Hering, E., editor, Hertel, E., editor, von Hess, C., editor, von Hippel, E., editor, Hirschberg, J., editor, Hofmann, F. B., editor, van de Hoeve, J., editor, Igersheimer, J., editor, Kallius, E., editor, Köllner, J., editor, Kraemer, A., editor, Krückmann, E., editor, Kuhnt, H., editor, Kümmell, R., editor, Landolt, F., editor, Lauber, H., editor, Leber, Th., editor, Lenz, G., editor, Linck, A., editor, Löhlein, W., editor, Löwenstein, A., editor, Merkel, F., editor, von Michel, J., editor, Nussbaum, M., editor, Oppenheimer, E. H., editor, Peters, A., editor, Pütter, A., editor, von Rohr, M., editor, Saemisch, Th., editor, Sattler, H., editor, Sattler, C. H., editor, Schirmer, O., editor, Schlaefke, W., editor, Schleich, G., editor, Schloffer, H., editor, Schmidt-Rimpler, H., editor, Schultze, Oscar, editor, Seefelder, R., editor, Snellen, H., editor, Stock, W., editor, v. Szily, A., editor, Uhthoff, W., editor, Virchow, H., editor, Wagenmann, A., editor, Wessely, K., editor, and Wolfrum, M., editor

Published
1922
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49. II. Abschnitt

Author

Axenfeld, Th., Bernheimer, St., Bielschowsky, A., Birch-Hirschfeld, A., Cords, R., Elschnig, A., Eversbusch, O., Fick, A., Fleischer, B., Franke, E., Garten, S., Gilbert, W., Graefe, Alfr., Greeff, R., Groenouw, A., Grunert, K., Haab, O., Heddaeus, E., Heine, L., Hering, E., Hertel, E., von Hess, C., von Hippel, E., Hirschberg, J., Hofmann, F. B., van de Hoeve, J., Igersheimer, J., Kallius, E., Köllner, J., Kraemer, A., Krückmann, E., Kuhnt, H., Kümmell, R., Landolt, F., Lauber, H., Leber, Th., Lenz, G., Linck, A., Löhlein, W., Löwenstein, A., Merkel, F., von Michel, J., Nussbaum, M., Oppenheimer, E. H., Peters, A., Pütter, A., von Rohr, M., Saemisch, Th., Sattler, H., Sattler, C. H., Schirmer, O., Schlaefke, W., Schleich, G., Schloffer, H., Schmidt-Rimpler, H., Schultze, Oscar, Seefelder, R., Snellen, H., Stock, W., v. Szily, A., Uhthoff, W., Virchow, H., Wagenmann, A., Wessely, K., Wolfrum, M., Axenfeld, Th., editor, Bernheimer, St., editor, Bielschowsky, A., editor, Birch-Hirschfeld, A., editor, Cords, R., editor, Elschnig, A., editor, Eversbusch, O., editor, Fick, A., editor, Fleischer, B., editor, Franke, E., editor, Garten, S., editor, Gilbert, W., editor, Graefe, Alfr., editor, Greeff, R., editor, Groenouw, A., editor, Grunert, K., editor, Haab, O., editor, Heddaeus, E., editor, Heine, L., editor, Hering, E., editor, Hertel, E., editor, von Hess, C., editor, von Hippel, E., editor, Hirschberg, J., editor, Hofmann, F. B., editor, van de Hoeve, J., editor, Igersheimer, J., editor, Kallius, E., editor, Köllner, J., editor, Kraemer, A., editor, Krückmann, E., editor, Kuhnt, H., editor, Kümmell, R., editor, Landolt, F., editor, Lauber, H., editor, Leber, Th., editor, Lenz, G., editor, Linck, A., editor, Löhlein, W., editor, Löwenstein, A., editor, Merkel, F., editor, von Michel, J., editor, Nussbaum, M., editor, Oppenheimer, E. H., editor, Peters, A., editor, Pütter, A., editor, von Rohr, M., editor, Saemisch, Th., editor, Sattler, H., editor, Sattler, C. H., editor, Schirmer, O., editor, Schlaefke, W., editor, Schleich, G., editor, Schloffer, H., editor, Schmidt-Rimpler, H., editor, Schultze, Oscar, editor, Seefelder, R., editor, Snellen, H., editor, Stock, W., editor, v. Szily, A., editor, Uhthoff, W., editor, Virchow, H., editor, Wagenmann, A., editor, Wessely, K., editor, and Wolfrum, M., editor

Published
1922
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