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Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale
Frontiers in Artificial Intelligence, 2022 We introduce an ensemble of artificial intelligence models for gravitational wave detection that we trained in the Summit supercomputer using 32 nodes, equivalent to 192 NVIDIA V100 GPUs, within 2 h.Pranshu Chaturvedi, Pranshu Chaturvedi, Pranshu Chaturvedi, Asad Khan, Asad Khan, Asad Khan, Minyang Tian, Minyang Tian, E. A. Huerta, E. A. Huerta, E. A. Huerta, Huihuo Zheng +11 moredoaj +1 more sourceAdvanced LIGO [PDF]
Classical and Quantum Gravity, 2015 The Advanced LIGO gravitational wave detectors are second generation instruments designed and built for the two LIGO observatories in Hanford, WA and Livingston, LA. The two instruments are identical in design, and are specialized versions of a Michelson interferometer with 4 km long arms.Aasi, J., Abbott, B. P., Abbott, R., Abbott, T., Abernathy, M. R., Ackley, K., Adams, C., Adams, T., Addesso, P., Adhikari, R. X., Adya, V., Affeldt, C., Aggarwal, N., Aguiar, O. D., Ain, A., Ajith, P., Alemic, A., Allen, B., Amariutei, D., Anderson, S. B., Anderson, W. G., Arai, K., Araya, M. C., Arceneaux, C., Areeda, J. S., Ashton, G., Ast, S., Aston, S. M., Aufmuth, P., Aulbert, C., Aylott, B. E., Babak, S., Baker, P. T., Ballmer, S. W., Barayoga, J. C., Barbet, M., Barclay, S., Barish, B. C., Barker, D., Barr, B., Barsotti, L., Bartlett, J., Barton, M. A., Bartos, I., Bassiri, R., Batch, J. C., Baune, C., Behnke, B., Bell, A. S., Bell, C., Benacquista, M., Bergman, J., Bergmann, G., Berry, C. P. L., Betzwieser, J., Bhagwat, S., Bhandare, R., Bilenko, I. A., Billingsley, G., Birch, J., Biscans, S., Biwer, C., Blackburn, J. K., Blackburn, L., Blair, C. D., Blair, D., Bock, O., Bodiya, T. P., Bojtos, P., Bond, C., Bork, R., Born, M., Bose, Sukanta, Brady, P. R., Braginsky, V. B., Brau, J. E., Bridges, D. O., Brinkmann, M., Brooks, A. F., Brown, D. A., Brown, D. D., Brown, N. M., Buchman, S., Buikema, A., Buonanno, A., Cadonati, L., Bustillo, J. Calderon, Camp, J. B., Cannon, K. C., Cao, J., Capano, C. D., Caride, S., Caudill, S., Cavaglia, M., Cepeda, C., Chakraborty, R., Chalermsongsak, T., Chamberlin, S. J., Chao, S., Charlton, P., Chen, Y., Cho, H. S., Cho, M., Chow, J. H., Christensen, N., Chu, Q., Chung, S., Ciani, G., Clara, F., Clark, J. A., Collette, C., Cominsky, L., Constancio, M., Cook, D., Corbitt, T. R., Cornish, N., Corsi, A., Costa, C. A., Coughlin, M. W., Countryman, S., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Craig, K., Creighton, J. D. E., Creighton, T. D., Cripe, J., Crowder, S. G., Cumming, A., Cunningham, L., Cutler, C., Dahl, K., Dal Canton, T., Damjanic, M., Danilishin, S. L., Danzmann, K., Dartez, L., Dave, I., Daveloza, H., Davies, G. S., Daw, E. J., Debra, D., Del Pozzo, W., Denker, T., Dent, T., Dergachev, V., Derosa, R. T., Desalvo, R., Dhurandhar, S., Diaz, M., Di Palma, I., Dojcinoski, G., Dominguez, E., Donovan, F., Dooley, K. L., Doravari, S., Douglas, R., Downes, T. P., Driggers, J. C., Du, Z., Dwyer, S., Eberle, T., Edo, T., Edwards, M., Edwards, M., Effler, A., Eggenstein, H. B, Ehrens, P., Eichholz, J., Eikenberry, S. S., Essick, R., Etzel, T., Evans, M., Evans, T., Factourovich, M., Fairhurst, S., Fan, X., Fang, Q., Farr, B., Farr, W. M., Favata, M., Fays, M., Fehrmann, H., Fejer, M. M., Feldbaum, D., Ferreira, E. C., Fisher, R. P., Frei, Z., Freise, A., Frey, R., Fricke, T. T., Fritschel, P., Frolov, V. V., Fuentes Tapia, S., Fulda, P., Fyffe, M., Gair, J. R., Gaonkar, S., Gergely, L. A., Goetz, E., Gonzalez, G., Hall, E. D., Hammond, G., Harry, I. W., Heinzel, G., Heng, I. S., Heurs, M., Hild, S., Hollitt, S. E., Hosken, D. J., Howell, E. J., Hu, Y. M., Huerta, E., Husa, S., Iyer, B. R., Ju, L., Haris, K., Kandhasamy, S., Kang, G., Kaur, T., Keitel, D., Key, J. S., Khalaidovski, A., Koehlenbeck, S., Korobko, M., Krishnan, B., Kumar, P., Lasky, P. D., Lazzaro, C., LEACI, PAOLA, Leavey, S., Lee, C. H., Lee, H. M., Mangano, V., Mansell, G. L., Martin, I. W., Martynov, D., Matichard, F., Mcclelland, D. E., Meadors, G. D., Melatos, A., Messenger, C., Miao, H., Mikhailov, E. E., Miller, A., Mishra, C., Mitra, S., Mitselmakher, G., Mohanty, S. D., Mow Lowry, C. M., Murphy, D., Nedkova, K., Nissanke, S., Nitz, A. H., Oh, J. J., Oh, S. H., O'Reilly, B., O'Shaughnessy, R., Ottaway, D. J., Owen, B. J., Pannarale, F., Papa, M. A., Pierro, V., Pinto, I. M., Pitkin, M., Powell, J., Principe, M., Prokhorov, L., Qin, J., Quetschke, V., Quintero, E., Raab, F. J., Raymond, V., Reitze, D. H., Saleem, M., Salemi, F., Sanders, J. R., Sathyaprakash, B. S., Savage, R., Sawadsky, A., Schmidt, P., Schutz, B. F., Scott, J., Scott, S. M., Shaltev, M., Shoemaker, D. H., Sigg, D., Sintes, A. M., Slagmolen, B. J. J., Smith, J. R., Smith, R. J. E., Sorazu, B., Steinke, M., Steinlechner, J., Steinlechner, S., Stevenson, S., Strain, K. A., Stuver, A. L., Talukder, D., Tanner, D. B., Tapai, M., Thirugnanasambandam, M. P., Thomas, M., Thrane, E., Usman, S. A., Vajente, G., Vecchio, A., Veitch, J., Vitale, S., Vyatchanin, S. P., Wade, A. R., Ward, R. L., Wen, L., Wette, K., Whelan, J. T., Whiting, B. F., Willis, J. L., Willke, B., Woan, G., Zhao, C., Zhou, M., Zhu, X. J., Zucker, M. E., Zuraw, S., Zweizig, J. +326 moreopenaire +12 more sourcesAdvanced LIGO Laser Systems for O3 and Future Observation Runs
Galaxies, 2020 The advanced LIGO gravitational wave detectors need high power laser sources with excellent beam quality and low-noise behavior. We present a pre-stabilized laser system with 70 W of output power that was used in the third observing run of the advanced ...Nina Bode, Joseph Briggs, Xu Chen, Maik Frede, Peter Fritschel, Michael Fyffe, Eric Gustafson, Matthew Heintze, Peter King, Jian Liu, Jason Oberling, Richard L. Savage, Andrew Spencer, Benno Willke +13 moredoaj +1 more sourceDetermination of absolute expression profiles using multiplexed miRNA analysis. [PDF]
PLoS ONE, 2017 Accurate measurement of miRNA expression is critical to understanding their role in gene expression as well as their application as disease biomarkers. Correct identification of changes in miRNA expression rests on reliable normalization to account for ...Yunke Song, Duncan Kilburn, Jee Hoon Song, Yulan Cheng, Christopher T Saeui, Douglas G Cheung, Carlo M Croce, Kevin J Yarema, Stephen J Meltzer, Kelvin J Liu, Tza-Huei Wang +10 moredoaj +1 more sourceAdapting LIGO workflows to run in the Open Science Grid
SoftwareX, 2021 During the first observation run the LIGO collaboration needed to offload some of its most, intense CPU workflows from its dedicated computing sites to opportunistic resources.Edgar Fajardo, Frank Wuerthwein, Brian Bockelman, Miron Livny, Greg Thain, James Alexander Clark, Peter Couvares, Josh Willis +7 moredoaj +1 more sourceGstLAL: A software framework for gravitational wave discovery
SoftwareX, 2021 The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although GstLAL was primarily designed to search for gravitational-wave signatures of merging black holes ...Kipp Cannon, Sarah Caudill, Chiwai Chan, Bryce Cousins, Jolien D.E. Creighton, Becca Ewing, Heather Fong, Patrick Godwin, Chad Hanna, Shaun Hooper, Rachael Huxford, Ryan Magee, Duncan Meacher, Cody Messick, Soichiro Morisaki, Debnandini Mukherjee, Hiroaki Ohta, Alexander Pace, Stephen Privitera, Iris de Ruiter, Surabhi Sachdev, Leo Singer, Divya Singh, Ron Tapia, Leo Tsukada, Daichi Tsuna, Takuya Tsutsui, Koh Ueno, Aaron Viets, Leslie Wade, Madeline Wade +30 moredoaj +1 more source
