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  • Deep COI sequencing of standardized benthic samples unveils overlooked diversity of Jordanian coral reefs in the northern Red Sea 
    Al-Rshaidat, Mamoon; Snider, Allison; Rosebraugh, Sydney; Devine, Amanda M.; Devine, Thomas D.; Plaisance, Laetitia; Knowlton, Nancy; Leray, Matthieu (2016)
    High-throughput sequencing (HTS) of DNA barcodes (metabarcoding), particularly when combined with standardized sampling protocols, is one of the most promising approaches for censusing overlooked cryptic invertebrate ...
  • Deep crustal structure of the Adare and Northern Basins, Ross Sea, Antarctica, from sonobuoy data 
    Selvans, M. M.; Stock, J. M.; Clayton, R. W.; Cande, S.; Granot, R. (2014)
    Extension associated with ultraslow seafloor spreading within the Adare Basin, in oceanic crust just north of the continental shelf in the Ross Sea, Antarctica, extended south into the Northern Basin. Magnetic and gravity ...
  • Deep Dive, WAS Gallery, Bethesda, Maryland 
    Johnson, Betsy (2018)
  • Deep drilling in the time domain with DECam: survey characterization 
    Graham, Melissa L.; Knop, Robert A.; Kennedy, Thomas D.; Nugent, Peter E.; Bellm, Eric; Catelan, Márcio; Patel, Avi; Smotherman, Hayden; Soraisam, Monika; Stetzler, Steven; Aldoroty, Lauren N.; Awbrey, Autumn; Baeza-Villagra, Karina; Bernardinelli, Pedro H.; Bianco, Federica; Brout, Dillon; Clarke, Riley; Clarkson, William I.; Collett, Thomas; Davenport, James R. A.; Fu, Shenming; Gizis, John E.; Heinze, Ari; Hu, Lei; Jha, Saurabh W.; Juric, Mario; Kalmbach, J. Bryce; Kim, Alex; Lee, Chien-Hsiu; Lidman, Chris; Magee, Mark; Martínez-Vázquez, Clara E.; Matheson, Thomas; Narayan, Gautham; Palmese, Antonella; Phillips, Christopher A.; Rabus, Markus; Rest, Armin; Rodríguez-Segovia, Nicolás; Street, Rachel; Vivas, A. Katherina; Wang, Lifan; Wolf, Nicholas; Yang, Jiawen (2023)
    This paper presents a new optical imaging survey of four deep drilling fields (DDFs), two Galactic and two extragalactic, with the Dark Energy Camera (DECam) on the 4-m Blanco telescope at the Cerro Tololo Inter-American ...
  • Deep drilling reveals massive shifts in evolutionary dynamics after formation of ancient ecosystem 
    Wilke, Thomas; Hauffe, Torsten; Jovanovska, Elena; Cvetkoska, Aleksandra; Donders, Timme; Ekschmitt, Klemens; Francke, Alexander; Lacey, Jack H.; Levkov, Zlatko; Marshall, Charles R.; Neubauer, Thomas A.; Silvestro, Daniele; Stelbrink, Björn; Vogel, Hendrik; Albrecht, Christian; Holtvoeth, Jens; Krastel, Sebastian; Leicher, Niklas; Leng, Melanie J.; Lindhorst, Katja; Masi, Alessia; Ognjanova-Rumenova, Nadja; Panagiotopoulos, Konstantinos; Reed, Jane M.; Sadori, Laura; Tofilovska, Slavica; Van Bocxlaer, Bert; Wagner-Cremer, Friederike; Wesselingh, Frank P.; Wolters, Volkmar; Zanchetta, Giovanni; Zhang, Xiaosen; Wagner, Bernd (2020)
    The scarcity of high-resolution empirical data directly tracking diversity over time limits our understanding of speciation and extinction dynamics and the drivers of rate changes. Here, we analyze a continuous species-level ...
  • Deep Earth carbon reactions through time and space 
    McCammon, Catherine; Bureau, Helene; Cleaves,H. James, II; Cottrell, Elizabeth; Dorfman, Susannah M.; Kellogg, Louise H.; Li, Jie; Mikhail, Sami; Moussallam, Yves; Sanloup, Chrystele; Thomson, Andrew R.; Brovarone, Alberto Vitale (2020)
    Reactions involving carbon in the deep Earth have limited manifestations on Earth's surface, yet they have played a critical role in the evolution of our planet. The metal-silicate partitioning reaction promoted carbon ...
  • Deep ensemble analysis for Imaging X-ray Polarimetry 
    Peirson, A. L.; Romani, R. W.; Marshall, H. L.; Steiner, J. F.; Baldini, L. (2021)
    We present a method for enhancing the sensitivity of X-ray telescopic observations with imaging polarimeters, with a focus on the gas pixel detectors (GPDs) to be flown on the Imaging X-ray Polarimetry Explorer (IXPE). Our ...
  • A Deep Exposure in High Resolution X-Rays Reveals the Hottest Plasma in the ? Puppis Wind 
    Huenemoerder, David P.; Ignace, Richard; Miller, Nathan A.; Gayley, Kenneth G.; Hamann, Wolf-Rainer; Lauer, Jennifer; Moffat, Anthony F. J.; Nazé, Yaël; Nichols, Joy S.; Oskinova, Lidia; Richardson, Noel D.; Waldron, Wayne (2020)
    We have obtained a very deep exposure (813 ks) of ? Puppis (O4 supergiant) with the Chandra HETG Spectrometer. Here we report on analysis of the 1-9 Å region, especially well suited for Chandra, which has a significant ...
  • Deep Future The Next 100,000 Years of Life on Earth 
    Wing, Scott L. (2011)
  • Deep genome-wide phylogeographic structure indicates cryptic diversity in the Middle Spotted Woodpecker (Dendrocoptes medius) 
    Schweizer, Manuel; Tang, Qindong; Burri, Reto; Drovetski, Sergei, V.; Robles, Hugo; Zyskowski, Kristof; Aghayan, Sargis; Rakovic, Marko; Pasinelli, Gilberto (2022)
    Deep phylogeographic structure in mitochondrial DNA not reflected in morphological variation has been uncovered in a number of species over the past few decades. However, inferred phylogeographic structure based solely on ...
  • Deep Hubble space telescope ultraviolet imaging of the M87 jet 
    Madrid, Juan P.; Sparks, William B.; Harris, D. E.; Perlman, Eric S.; Macchetto, Duccio; Biretta, John (2007)
  • Deep in the Heart of Texas? 
    Smith, Monica M. (2017)
  • A Deep Keck/NIRC2 Search for Thermal Emission from Planetary Companions Orbiting Fomalhaut 
    Currie, Thayne; Cloutier, Ryan; Debes, John H.; Kenyon, Scott J.; Kaisler, Denise (2013)
    We present deep Keck/NIRC2 1.6 and 3.8 µm imaging of Fomalhaut to constrain the near-infrared brightness of Fomalhaut b, recently confirmed as a likely planet, and search for additional planets at r <SUB>proj</SUB> = 15-150 ...
  • A Deep Learning Approach to Galaxy Cluster X-Ray Masses 
    Ntampaka, Michelle; ZuHone, J.; Eisenstein, D.; Nagai, D.; Vikhlinin, A.; Hernquist, L.; Marinacci, F.; Nelson, D.; Pakmor, R.; Pillepich, A.; Torrey, P.; Vogelsberger, M. (2019)
    We present a machine-learning (ML) approach for estimating galaxy cluster masses from Chandra mock images. We utilize a Convolutional Neural Network (CNN), a deep ML tool commonly used in image recognition tasks. The CNN ...
  • A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations 
    Zanisi, Lorenzo; Huertas-Company, Marc; Lanusse, François; Bottrell, Connor; Pillepich, Annalisa; Nelson, Dylan; Rodriguez-Gomez, Vicente; Shankar, Francesco; Hernquist, Lars; Dekel, Avishai; Margalef-Bentabol, Berta; Vogelsberger, Mark; Primack, Joel (2021)
    Hydrodynamical simulations of galaxy formation and evolution attempt to fully model the physics that shapes galaxies. The agreement between the morphology of simulated and real galaxies, and the way the morphological types ...
  • Deep learning as a tool for ecology and evolution 
    Borowiec, Marek L.; Dikow, Rebecca B.; Frandsen, Paul B.; McKeeken, Alexander; Valentini, Gabriele; White, Alexander E. (2022)
    Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has ...
  • Deep learning detection and classification of gravitational waves from neutron star-black hole mergers 
    Qiu, Richard; Krastev, Plamen G.; Gill, Kiranjyot; Berger, Edo (2023)
    The Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo Interferometer Collaborations have now detected all three classes of compact binary mergers: binary black hole (BBH), binary neutron star (BNS), and ...
  • Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape 
    Wu, Zijing; Zhang, Ce; Gu, Xiaowei; Duporge, Isla; Hughey, Lacey F.; Stabach, Jared A.; Skidmore, Andrew K.; Hopcraft, J. Grant C.; Lee, Stephen J.; Atkinson, Peter M.; McCauley, Douglas J.; Lamprey, Richard; Ngene, Shadrack; Wang, Tiejun (2023)
    This study presents a deep learning pipeline to automatically locate and count large herds of migratory ungulates (wildebeest and zebra) in the Serengeti-Mara ecosystem using fine resolution satellite imagery. The results ...
  • Deep learning in sex estimation from knee radiographs-A proof-of-concept study utilizing the Terry Anatomical Collection 
    Oura, Petteri; Junno, Juho-Antti; Hunt, David R.; Lehenkari, Petri; Tuukkanen, Juha; Maijanen, Heli (2023)
    Although knee measurements yield high classification rates in metric sex estimation, there is a paucity of studies exploring the knee in artificial intelligence-based sexing. This proof-of-concept study aimed to develop ...
  • A deep learning view of the census of galaxy clusters in IllustrisTNG 
    Su, Y.; Zhang, Y.; Liang, G.; ZuHone, John A.; Barnes, D. J.; Jacobs, N. B.; Ntampaka, Michelle; Forman, William R.; Nulsen, Paul E. J.; Kraft, Ralph P.; Jones, C. (2020)
    The origin of the diverse population of galaxy clusters remains an unexplained aspect of large-scale structure formation and cluster evolution. We present a novel method of using X-ray images to identify cool core (CC), ...

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