14,271 results on '"Brooks, David"'
Search Results
402. In Praise of Middle Managers
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Brooks, David
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Middle managers -- Appreciation -- Practice ,General interest ,News, opinion and commentary - Abstract
Nobody writes poems about middle managers. Nobody gets too romantic about the person who runs a department at a company, or supervises a construction crew, or serves as principal at [...]
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- 2024
403. Why Is Technology Mean to Me?
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Brooks, David
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General interest - Abstract
Byline: David Brooks It is never easy to re-examine one's fundamental convictions, but now I am forced to question my previous disbelief in the existence of Satan. I am compelled [...]
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- 2024
404. The Great Struggle for Liberalism
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Brooks, David
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Liberalism -- Political aspects ,Democracy -- Netherlands -- United Kingdom ,General interest - Abstract
Byline: David Brooks In 1978, the Russian dissident Aleksandr Solzhenitsyn gave a commencement address at Harvard, warning us about the loss of American self-confidence and will. 'A decline in courage [...]
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- 2024
405. What Would You Have Israel Do to Defend Itself?
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Brooks, David
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Political parties -- Israel -- Iraq -- Palestinian Territories -- Military aspects ,General interest - Abstract
Byline: David Brooks There seems to be a broad consensus atop the Democratic Party about the war in Gaza, structured around two propositions. First, after the attacks of Oct. 7, [...]
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- 2024
406. Surviving the Ugliness of It All
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Brooks, David
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General interest - Abstract
Byline: David Brooks I've been crisscrossing the country almost constantly over the last five months. When I ask people about politics, the feeling I hear most often is exhaustion. People [...]
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- 2024
407. The G.O.P. Returns to Its Bad Old Self
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Brooks, David
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General interest ,Republican Party (United States) - Abstract
Byline: David Brooks I've recently been reading about Warren Buffett's father, Howard Buffett, a four-term Republican congressman from Nebraska. He seems to have been a very good father, but his [...]
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- 2024
408. The Political Failure of Bidenomics
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Brooks, David
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Political parties ,Working class in television -- Political aspects ,Working class -- Political aspects ,Proletariat -- Political aspects ,General interest - Abstract
Byline: David Brooks After Hillary Clinton's defeat in 2016, most sensible Democrats realized they had a problem. The party was hemorrhaging support from the white working class. More than 60 [...]
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- 2024
409. The Cure for What Ails Our Democracy
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Brooks, David
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Value pluralism -- Analysis -- Political aspects ,Democracy -- Protection and preservation -- United States ,Partisanship -- Forecasts and trends ,Market trend/market analysis ,General interest ,News, opinion and commentary - Abstract
America is economically thriving but politically dysfunctional. We have the material, technological and military resources to remain the world's leading superpower, but the current Congress is unable to make decisions [...]
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- 2024
410. Trump Came for Their Party but Took Over Their Souls
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Brooks, David
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Political parties ,General interest ,Republican Party (United States) -- Political activity -- Political aspects - Abstract
Byline: David Brooks I thought I was beyond shockable, but this week has been profoundly shocking for me. I spent the bulk of my adult life on the right-wing side [...]
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- 2024
411. NHTI to treat Medicaid dental patients after $500,000 donation
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Brooks, David
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Medicaid ,Community colleges ,Business ,Business, regional - Abstract
A year after New Hampshire allowed dental benefits for adults on Medicaid, NHTI is using grant funding to start treating those patients in Concord, which should help alleviate a backlog [...]
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- 2024
412. In vivo vesicular acetylcholine transporter density in human peripheral organs: an [18F]FEOBV PET/CT study
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Horsager, Jacob, Okkels, Niels, Van Den Berge, Nathalie, Jacobsen, Jan, Schact, Anna, Munk, Ole Lajord, Vang, Kim, Bender, Dirk, Brooks, David J., and Borghammer, Per
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- 2022
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413. Monocyte markers correlate with immune and neuronal brain changes in REM sleep behavior disorder
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Farmen, Kristine, Nissen, Sara K., Stokholm, Morten G., Iranzo, Alex, Østergaard, Karen, Serradell, Mónica, Otto, Marit, Svendsen, Kristina B., Garrido, Alicia, Vilas, Dolores, Borghammer, Per, Santamaria, Joan, Møller, Arne, Gaig, Carles, Brooks, David J., Tolosa, Eduardo, Pavese, Nicola, and Romero-Ramos, Marina
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- 2021
414. DES Science Portal: Creating Science-Ready Catalogs
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Neto, Angelo Fausti, da Costa, Luiz, Rosell, Aurelio Carnero, Gschwend, Julia, Ogando, Ricardo, Sobreira, Flavia, Maia, Marcio, Santiago, Basilio, Rosenfeld, Rogerio, Singulani, Cristiano, Nunes, Lucas, Adean, Carlos, Campisano, Riccardo, Brito, Rafael, Soares, Guilherme, Vila-Verde, Glauber C., Abbott, Tim, Abdalla, Filipe, Allam, Sahar, Benoit-Lévy, Aurélien, Brooks, David, Buckley-Geer, Elizabeth, Capozzi, Diego, Kind, Matias Carrasco, Carretero, Jorge, D'Andrea, Chris, Desai, Shantanu, Doel, Peter, Drlica-Wagner, Alex, Evrard, August, Fosalba, Pablo, Garcia-Bellido, Juan, Gerdes, David, Gruendl, Robert, Gutierrez, Gaston, Honscheid, Klaus, James, David, Jeltema, Tesla, Kuehn, Kyler, Kuhlmann, Steve, Kuropatkin, Nikolay, Lahav, Ofer, Lima, Marcos, Marshall, Jennifer, Melchior, Peter, Menanteau, Felipe, Malagón, Andrés Plazas, Sanchez, Eusebio, Scarpine, Vic, Schindler, Rafe, Schubnell, Michael, Sevilla, Ignacio, Smith, Mathew, Smith, R. Chris, Suchyta, Eric, Swanson, Molly, Tarle, Gregory, and Walker, Alistair
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
We present a novel approach for creating science-ready catalogs through a software infrastructure developed for the Dark Energy Survey (DES). We integrate the data products released by the DES Data Management and additional products created by the DES collaboration in an environment known as DES Science Portal. Each step involved in the creation of a science-ready catalog is recorded in a relational database and can be recovered at any time. We describe how the DES Science Portal automates the creation and characterization of lightweight catalogs for DES Year 1 Annual Release, and show its flexibility in creating multiple catalogs with different inputs and configurations. Finally, we discuss the advantages of this infrastructure for large surveys such as DES and the Large Synoptic Survey Telescope. The capability of creating science-ready catalogs efficiently and with full control of the inputs and configurations used is an important asset for supporting science analysis using data from large astronomical surveys., Comment: The second paper of the series about the DES Science Portal, submitted to the Astronomy & Computing journal. It shows the infrastructure to create science-ready catalogs from DES photometric data and ancillary maps. This is the version accepted by the journal
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- 2017
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415. DES Science Portal: Computing Photometric Redshifts
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Gschwend, Julia, Rosell, Aurelio Carnero, Ogando, Ricardo, Neto, Angelo Fausti, Maia, Marcio, da Costa, Luiz, Lima, Marcos, Pellegrini, Paulo, Campisano, Riccardo, Singulani, Cristiano, Adean, Carlos, Benoist, Christophe, Aguena, Michel, Kind, Matias Carrasco, Davis, Tamara, de Vicente, Juan, Hartley, Will, Hoyle, Ben, Palmese, Antonella, Sadeh, Iftach, Abbot, Tim, Abdalla, Filipe, Allam, Sahar, Annis, James, Asorey, Jacobo, Brooks, David, Calcino, Josh, Carollo, Daniela, Castander, Francisco, D'Andrea, Chris, Desai, Shantanu, Evrard, August, Fosalba, Pablo, Frieman, Josh, Garcia-Bellido, Juan, Glazebrook, Karl, Gerdes, David, Gruendl, Robert, Gutierrez, Gaston, Hinton, Samuel, Hollowood, Devon, Honscheid, Klaus, Hoormann, Janie, James, David, Kuehn, Kyler, Kuropatkin, Nikolay, Lahav, Ofer, Lewis, Geraint, Lidman, Chris, Lin, Huan, Macaulay, Edward, Marshall, Jeniffer, Melchior, Peter, Miquel, Ramon, Moller, Anais, Plazas, Andrés, Sanchez, Eusebio, Santiago, Basilio, Scarpine, Vic, Schindler, Rafe, Sevilla, Ignacio, Smith, Mathew, Sobreira, Flavia, Sommer, Natalia Eiré, Suchyta, Eric, Swanson, Molly, Tarle, Gregory, Tucker, Brad, Tucker, Douglas, Uddin, Syed, and Walker, Alistair
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo-z methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo-z training, validation, and estimation must be performed in a consistent and reproducible way in order to accomplish the scientific requirements. To meet this purpose, we developed an integrated web-based data interface that not only provides the framework to carry out the above steps in a systematic way, enabling the ease testing and comparison of different algorithms, but also addresses the processing requirements by parallelizing the calculation in a transparent way for the user. This framework called the Science Portal (hereafter Portal) was developed in the context the Dark Energy Survey (DES) to facilitate scientific analysis. In this paper, we show how the Portal can provide a reliable environment to access vast data sets, provide validation algorithms and metrics, even in the case of multiple photo-zs methods. It is possible to maintain the provenance between the steps of a chain of workflows while ensuring reproducibility of the results. We illustrate how the Portal can be used to provide photo-z estimates using the DES first year (Y1A1) data. While the DES collaboration is still developing techniques to obtain more precise photo-zs, having a structured framework like the one presented here is critical for the systematic vetting of DES algorithmic improvements and the consistent production of photo-zs in the future DES releases., Comment: The first paper of the series about the DES Science Portal, submitted to the Astronomy & Computing journal. It shows the infrastructure of pipelines related to the production of photometric redshifts to feed science-ready catalogs
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- 2017
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416. Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey
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Rumbaugh, Nick, Shen, Yue, Morganson, Eric, Liu, Xin, Banerji, Manda, McMahon, Richard G., Abdalla, Filipe, Benoit-Levy, Aurelien, Bertin, Emmanuel, Brooks, David, Buckley-Geer, Elizabeth, Capozzi, Diego, Rosell, Aurelio Carnero, Kind, M. Carrasco, Carretero, Jorge, Cunha, Carlos, D'Andrea, Chris, da Costa, Luiz, DePoy, Darren, Desai, Shantanu, Doel, Peter, Frieman, Joshua, Garcia-Bellido, Juan, Gruen, Daniel, Gruendl, Robert, Gschwend, Julia, Gutierrez, Gaston, Honscheid, Klaus, James, David, Kuehn, Kyler, Kuhlmann, Steve, Kuropatkin, Nikolay, Lima, Marcos, Maia, Marcio, Marshall, Jennifer, Martini, Paul, Menanteau, Felipe, Malagon, Andres Plazas, Reil, Kevin, Roodman, Aaron, Sanchez, Eusebio, Scarpine, Vic, Schindler, Rafe, Schubnell, Michael, Sheldon, Erin, Smith, Mathew, Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Swanson, Molly, Walker, Alistair, and Wester, William
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We perform a systematic search for long-term extreme variability quasars (EVQs) in the overlapping Sloan Digital Sky Survey (SDSS) and 3-Year Dark Energy Survey (DES) imaging, which provide light curves spanning more than 15 years. We identified ~1000 EVQs with a maximum g band magnitude change of more than 1 mag over this period, about 10% of all quasars searched. The EVQs have L_bol~10^45-10^47 erg/s and L/L_Edd~0.01-1. Accounting for selection effects, we estimate an intrinsic EVQ fraction of ~30-50% among all g<~22 quasars over a baseline of ~15 years. These EVQs are good candidates for so-called "changing-look quasars", where a spectral transition between the two types of quasars (broad-line and narrow-line) is observed between the dim and bright states. We performed detailed multi-wavelength, spectral and variability analyses for the EVQs and compared to their parent quasar sample. We found that EVQs are distinct from a control sample of quasars matched in redshift and optical luminosity: (1) their UV broad emission lines have larger equivalent widths; (2) their Eddington ratios are systematically lower; and (3) they are more variable on all timescales. The intrinsic difference in quasar properties for EVQs suggest that internal processes associated with accretion are the main driver for the observed extreme long-term variability. However, despite their different properties, EVQs seem to be in the tail of a continuous distribution of quasar properties, rather than standing out as a distinct population. We speculate that EVQs are normal quasars accreting at relatively low accretion rates, where the accretion flow is more likely to experience instabilities that drive the factor of few changes in flux on multi-year timescales., Comment: submitted to ApJ; comments welcome
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- 2017
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417. Core or cusps: The central dark matter profile of a redshift one strong lensing cluster with a bright central image
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Collett, Thomas E., Buckley-Geer, Elizabeth, Lin, Huan, Bacon, David, Nichol, Robert C., Nord, Brian, Morice-Atkinson, Xan, Amara, Adam, Birrer, Simon, Kuropatkin, Nikolay, More, Anupreeta, Papovich, Casey, Romer, Kathy K., Tessore, Nicolas, Abbott, Tim M. C., Allam, Sahar, Annis, James, Benoit-Lévy, Aurélien, Brooks, David, Burke, David L., Kind, Matias Carrasco, Castander, Francisco Javier J., D'Andrea, Chris B., da Costa, Luiz N., Desai, Shantanu, Diehl, H. Thomas, Doel, Peter, Eifler, Tim F., Flaugher, Brenna, Frieman, Josh, Gerdes, David W., Goldstein, Daniel A., Gruen, Daniel, Gschwend, Julia, Gutierrez, Gaston, James, David J., Kuehn, Kyler, Kuhlmann, Steve, Lahav, Ofer, Li, Ting S., Lima, Marcos, Maia, Marcio A. G., March, Marisa, Marshall, Jennifer L., Martini, Paul, Melchior, Peter, Miquel, Ramon, Plazas, Andrés A., Rykoff, Eli S., Sanchez, Eusebio, Scarpine, Vic, Schindler, Rafe, Schubnell, Michael, Sevilla-Noarbe, Ignacio, Smith, Mathew, Sobreira, Flavia, Suchyta, Eric, Swanson, Molly E. C., Tarle, Gregory, Tucker, Douglas L., and Walker, Alistair R.
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We report on SPT-CLJ2011-5228, a giant system of arcs created by a cluster at $z=1.06$. The arc system is notable for the presence of a bright central image. The source is a Lyman Break galaxy at $z_s=2.39$ and the mass enclosed within the 14 arc second radius Einstein ring is $10^{14.2}$ solar masses. We perform a full light profile reconstruction of the lensed images to precisely infer the parameters of the mass distribution. The brightness of the central image demands that the central total density profile of the lens be shallow. By fitting the dark matter as a generalized Navarro-Frenk-White profile---with a free parameter for the inner density slope---we find that the break radius is $270^{+48}_{-76}$ kpc, and that the inner density falls with radius to the power $-0.38\pm0.04$ at 68 percent confidence. Such a shallow profile is in strong tension with our understanding of relaxed cold dark matter halos; dark matter only simulations predict the inner density should fall as $r^{-1}$. The tension can be alleviated if this cluster is in fact a merger; a two halo model can also reconstruct the data, with both clumps (density going as $r^{-0.8}$ and $r^{-1.0}$) much more consistent with predictions from dark matter only simulations. At the resolution of our Dark Energy Survey imaging, we are unable to choose between these two models, but we make predictions for forthcoming Hubble Space Telescope imaging that will decisively distinguish between them., Comment: 13 Pages. Accepted for publication in ApJ
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- 2017
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418. Discovery and Physical Characterization of a Large Scattered Disk Object at 92 AU
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Gerdes, David, Sako, Masao, Hamilton, Stephanie, Zhang, Ke, Khain, Tali, Becker, Juliette, Annis, James, Wester, William, Bernstein, Gary, Scheibner, Colin, Zullo, Lynus, Adams, Fred, Bergin, Edwin, Walker, Alistair, Mueller, J. H., Abbott, T., Abdalla, Filipe, Allam, Sahar, Bechtol, K., Benoit-Lévy, Aurelien, Bertin, Emmanuel, Brooks, David, Burke, David, Rosell, A., Kind, M., Carretero, Jorge, Cunha, Carlos, da Costa, Luiz, Desai, S., Diehl, H. Thomas, Eifler, Tim, Flaugher, Brenna, Frieman, Joshua, Garc'ia-Bellido, J., Gaztanaga, Enrique, Goldstein, Daniel, Gruen, Daniel, Gschwend, J., Gutierrez, Gaston, Honscheid, Klaus, James, D., Kent, Stephen M., Krause, E., Kuehn, Kyler, Kuropatkin, Nikolay, Lahav, O., Li, T., Maia, M., March, Marisa Cristina, Marshall, Jennifer, Martini, P., Menanteau, Felipe, Miquel, Ramon, Nichol, Robert, Malagón, Andres Plazas, Romer, A. Kathy, Roodman, Aaron, Sanchez, Eusebio, Sevilla-Noarbe, Ignacio, Smith, Mathew, Smith, R., Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, E., Swanson, M., Tarle, Gregory, Tucker, Douglas, and Zhang, Y.
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Astrophysics - Earth and Planetary Astrophysics - Abstract
We report the observation and physical characterization of the possible dwarf planet \UZ\ ("DeeDee"), a dynamically detached trans-Neptunian object discovered at 92 AU. This object is currently the second-most distant known trans-Neptunian object with reported orbital elements, surpassed in distance only by the dwarf planet Eris. The object was discovered with an $r$-band magnitude of 23.0 in data collected by the Dark Energy Survey between 2014 and 2016. Its 1140-year orbit has $(a,e,i) = (109~\mathrm{AU}, 0.65, 26.8^{\circ})$. It will reach its perihelion distance of 38 AU in the year 2142. Integrations of its orbit show it to be dynamically stable on Gyr timescales, with only weak interactions with Neptune. We have performed followup observations with ALMA, using 3 hours of on-source integration time to measure the object's thermal emission in the Rayleigh-Jeans tail. The signal is detected at 7$\sigma$ significance, from which we determine a $V$-band albedo of $13.1^{+3.3}_{-2.4}\mathrm{(stat)}^{+2.0}_{-1.4}\mathrm{(sys)}$ percent and a diameter of $635^{+57}_{-61}\mathrm{(stat)}^{+32}_{-39}\mathrm{(sys)}$~km, assuming a spherical body with uniform surface properties., Comment: 13 pages, 4 figures, accepted by ApJ Letters
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- 2017
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419. IRIS, Hinode, SDO, and RHESSI observations of a white light flare produced directly by non-thermal electrons
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Lee, Kyoung-Sun, Imada, Shinsuke, Watanabe, Kyoko, Bamba, Yumi, and Brooks, David H.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
An X1.6 flare occurred in AR 12192 on 2014 October 22 at 14:02 UT and was observed by Hinode, IRIS, SDO, and RHESSI. We analyze a bright kernel which produces a white light (WL) flare with continuum enhancement and a hard X-ray (HXR) peak. Taking advantage of the spectroscopic observations of IRIS and Hinode/EIS, we measure the temporal variation of the plasma properties in the bright kernel in the chromosphere and corona. We found that explosive evaporation was observed when the WL emission occurred, even though the intensity enhancement in hotter lines is quite weak. The temporal correlation of the WL emission, HXR peak, and evaporation flows indicate that the WL emission was produced by accelerated electrons. To understand the white light emission process, we calculated the energy flux deposited by non- thermal electrons (observed by RHESSI) and compared it to the dissipated energy estimated from a chromospheric line (Mg II triplet) observed by IRIS. The deposited energy flux from the non-thermal electrons is about 3 ~ 7.7 X 10^(10) erg cm^(-2) s^(-1) for a given low energy cut-off of 30 ~ 40 keV, assuming the thick target model. The energy flux estimated from the temperature changes in the chromosphere measured using the Mg II subordinate line is about 4.6 - 6.7 X 10(9) erg cm^(-2) s^(-1): ~6-22% of the deposited energy. This comparison of estimated energy fluxes implies that the continuum enhancement was directly produced by the non-thermal electrons., Comment: 29 pages, 15 figures, 1 table, accepted for publication in ApJ
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- 2017
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420. Redshift evolution and covariances for joint lensing and clustering studies with DESI Y1.
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Yuan, Sihan, Blake, Chris, Krolewski, Alex, Lange, Johannes, Elvin-Poole, Jack, Leauthaud, Alexie, DeRose, Joseph, Aguilar, Jessica Nicole, Ahlen, Steven, Beltz-Mohrmann, Gillian, Brooks, David, Claybaugh, Todd, de la Macorra, Axel, Doel, Peter, Emas, Ni Putu Audita Placida, Ferraro, Simone, Forero-Romero, Jaime E, Garcia-Quintero, Cristhian, Gaztañaga, Enrique, and Gontcho, Satya Gontcho A
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LARGE scale structure (Astronomy) ,GALACTIC evolution ,DARK energy ,STATISTICAL errors ,PHYSICAL cosmology - Abstract
Galaxy–galaxy lensing (GGL) and clustering measurements from the Dark Energy Spectroscopic Instrument Year 1 (DESI Y1) data set promise to yield unprecedented combined-probe tests of cosmology and the galaxy–halo connection. In such analyses, it is essential to identify and characterize all relevant statistical and systematic errors. We forecast the covariances of DESI Y1 GGL + clustering measurements and the systematic bias due to redshift evolution in the lens samples. Focusing on the projected clustering and GGL correlations, we compute a Gaussian analytical covariance, using a suite of N -body and lognormal simulations to characterize the effect of the survey footprint. Using the DESI one percent survey data, we measure the evolution of galaxy bias parameters for the DESI luminous red galaxy (LRG) and bright galaxy survey (BGS) samples. We find mild evolution in the LRGs in |$0.4 < z < 0.8$| , subdominant to the expected statistical errors. For BGS, we find less evolution for brighter absolute magnitude cuts, at the cost of reduced sample size. We find that for a redshift bin width |$\Delta z = 0.1$| , evolution effects on DESI Y1 GGL is negligible across all scales, all fiducial selection cuts, all fiducial redshift bins. Galaxy clustering is more sensitive to evolution due to the bias squared scaling. Nevertheless the redshift evolution effect is insignificant for clustering above the 1-halo scale of |$0.1h^{-1}$| Mpc. For studies that wish to reliably access smaller scales, additional treatment of redshift evolution is likely needed. This study serves as a reference for GGL and clustering studies using the DESI Y1 sample. [ABSTRACT FROM AUTHOR]
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- 2024
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421. Microglial Activation and Progression of Nigrostriatal Dysfunction in Isolated REM Sleep Behavior Disorder.
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Stær, Kristian, Iranzo, Alex, Stokholm, Morten Gersel, Hvingelby, Victor S., Danielsen, Erik Hvid, Østergaard, Karen, Serradell, Mónica, Otto, Marit, Svendsen, Kristina B., Garrido, Alicia, Vilas, Dolores, Santamaria, Joan, Møller, Arne, Gaig, Carles, Brooks, David J., Borghammer, Per, Tolosa, Eduardo, and Pavese, Nicola
- Abstract
Background: Using 11C‐(R)‐PK11195‐PET, we found increased microglia activation in isolated REM sleep behavior disorder (iRBD) patients. Their role remains to be clarified. Objectives: The objective is to assess relationships between activated microglia and progression of nigrostriatal dysfunction in iRBD. Methods: Fifteen iRBD patients previously scanned with 11C‐(R)‐PK11195 and 18F‐DOPA‐PET underwent repeat 18F‐DOPA‐PET after 3 years. 18F‐DOPA Ki changes from baseline were evaluated with volumes‐of‐interest and voxel‐based analyses. Results: Significant 18F‐DOPA Ki reductions were found in putamen and caudate. Reductions were larger and more widespread in patients with increased nigral microglia activation at baseline. Left nigral 11C‐(R)‐PK11195 binding at baseline was a predictor of 18F‐DOPA Ki reduction in left caudate (coef = −0.0426, P = 0.016). Conclusions: Subjects with increased baseline 11C‐(R)‐PK11195 binding have greater changes in nigrostriatal function, suggesting a detrimental rather than protective effect of microglial activation. Alternatively, both phenomena occur in patients with prominent nigrostriatal dysfunction without a causative link. The clinical and therapeutic implications of these findings need further elucidation. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. [ABSTRACT FROM AUTHOR]
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- 2024
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422. Combined Neuroinflammation and Amyloid PET Markers in Predicting Disease Progression in Cognitively Impaired Subjects.
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Leng, Fangda, Hinz, Rainer, Gentleman, Steve, Dani, Melanie, Brooks, David J., and Edison, Paul
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POSITRON emission tomography ,MILD cognitive impairment ,ALZHEIMER'S disease ,PROGNOSIS ,DISEASE progression - Abstract
Background: Neuroinflammation in Alzheimer's disease is known as an important process in the disease, yet how microglial activation affects disease progression remains unclear. Objective: The current study aims to interrogate the predictive value of neuroinflammation biomarker (
11 C-PBR28 PET), together with A/T/N imaging markers on disease deterioration in a cognitively impaired patient cohort. Methods: The study included 6 AD and 27 MCI patients, who had MRI,11 C-PBR28,18 F-flutemetamol (amyloid marker),18 F-AV1451 (tau marker) PET scans, and were followed up with multiple neuropsychological assessments for at least one year (1.6 and 2.8 years on average for AD and MCI). The predictive values of imaging biomarkers on baseline and longitudinal cognition were interrogated using linear regression to identify the biomarkers that could explain disease progression. Results: Linear mixed models found the average intercepts (baseline) MMSE were 23.5 for AD and 28.2 for MCI patients, and the slope of MMSE (annual change) were –0.74 for AD and –0.52 for MCI patients. White matter microstructural integrity was predictive of baseline cognition, while PET markers of amyloid, tau and neuroinflammation were predictive of longitudinal cognitive decline. Both amyloid and neuroinflammation PET markers were predictors independent of each other. And a sub-group analysis showed the predictive effect of neuroinflammation on cognitive decline is independent of amyloid and tau. Conclusions: Our study highlights the prognostic value of disease specific markers (amyloid, tau and neuroinflammation) in clinically diagnosed AD and MCI patients and suggests that the effects of these molecular markers are mediated by structural damage to the brain. [ABSTRACT FROM AUTHOR]- Published
- 2024
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423. Intrusion Detection Systems
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Brooks, David J., Coole, Michael P., Shapiro, Lauren R., editor, and Maras, Marie-Helen, editor
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- 2021
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424. Physical Security: Best Practices
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Coole, Michael P., Brooks, David J., Shapiro, Lauren R., editor, and Maras, Marie-Helen, editor
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- 2021
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425. PET Imaging of Translocator Protein Expression in Neurological Disorders
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Brooks, David J., Dierckx, Rudi A.J.O., editor, Otte, Andreas, editor, de Vries, Erik F.J., editor, van Waarde, Aren, editor, and Lammertsma, Adriaan A., editor
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- 2021
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426. Asymmetric amyloid deposition in preclinical Alzheimer’s disease: A PET study
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Kjeldsen, Pernille L., Parbo, Peter, Hansen, Kim V., Aanerud, Joel F.A., Ismail, Rola, Nissen, Peter H., Dalby, Rikke B., Damholdt, Malene F., Borghammer, Per, and Brooks, David J.
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- 2022
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427. Capillary function progressively deteriorates in prodromal Alzheimer’s disease: A longitudinal MRI perfusion study
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Madsen, Lasse S., Nielsen, Rune B., Parbo, Peter, Ismail, Rola, Mikkelsen, Irene K., Gottrup, Hanne, Østergaard, Leif, Brooks, David J., and Eskildsen, Simon F.
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- 2022
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428. Dynamic CD4+ T cell heterogeneity defines subset-specific suppression and PD-L1-blockade-driven functional restoration in chronic infection
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Snell, Laura M., Xu, Wenxi, Abd-Rabbo, Diala, Boukhaled, Giselle, Guo, Mengdi, Macleod, Bethany L., Elsaesser, Heidi J., Hezaveh, Kebria, Alsahafi, Nirmin, Lukhele, Sabelo, Nejat, Sara, Prabhakaran, Ramanandan, Epelman, Slava, McGaha, Tracy L., and Brooks, David G.
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- 2021
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429. CRACR2A-Mediated TCR Signaling Promotes Local Effector Th1 and Th17 Responses
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Woo, Jin Seok, Srikanth, Sonal, Kim, Kyun-Do, Elsaesser, Heidi, Lu, Jing, Pellegrini, Matteo, Brooks, David G, Sun, Zuoming, and Gwack, Yousang
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Biological Sciences ,Biomedical and Clinical Sciences ,Immunology ,Neurosciences ,Autoimmune Disease ,Brain Disorders ,Multiple Sclerosis ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Inflammatory and immune system ,Animals ,Arenaviridae Infections ,Calcium-Binding Proteins ,Cell Differentiation ,Cells ,Cultured ,Cytokines ,Disease Resistance ,Encephalomyelitis ,Autoimmune ,Experimental ,Humans ,Lymphocytic choriomeningitis virus ,Mice ,Mice ,Knockout ,Signal Transduction ,Th1 Cells ,Th17 Cells ,Biochemistry and cell biology - Abstract
Ca2+ release-activated Ca2+ channel regulator 2A (CRACR2A) is expressed abundantly in T cells and acts as a signal transmitter between TCR stimulation and activation of the Ca2+/NFAT and JNK/AP1 pathways. CRACR2A has been linked to human diseases in numerous genome-wide association studies and was shown to be one of the most sensitive targets of the widely used statin drugs. However, the physiological role of CRACR2A in T cell functions remains unknown. In this study, using transgenic mice for tissue-specific deletion, we show that CRACR2A promotes Th1 responses and effector function of Th17 cells. CRACR2A was abundantly expressed in Th1 and Th17 cells. In vitro, deficiency of CRACR2A decreased Th1 differentiation under nonpolarizing conditions, whereas the presence of polarizing cytokines compensated this defect. Transcript analysis showed that weakened TCR signaling by deficiency of CRACR2A failed to promote Th1 transcriptional program. In vivo, conditional deletion of CRACR2A in T cells alleviated Th1 responses to acute lymphocytic choriomeningitis virus infection and imparted resistance to experimental autoimmune encephalomyelitis. Analysis of CNS from experimental autoimmune encephalomyelitis-induced mice showed impaired effector functions of both Th1 and Th17 cell types, which correlated with decreased pathogenicity. Collectively, our findings demonstrate the requirement of CRACR2A-mediated TCR signaling in Th1 responses as well as pathogenic conversion of Th17 cells, which occurs at the site of inflammation.
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- 2018
430. Recommendations of the Global Multiple System Atrophy Research Roadmap Meeting
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Walsh, Ryan R, Krismer, Florian, Galpern, Wendy R, Wenning, Gregor K, Low, Phillip A, Halliday, Glenda, Koroshetz, Walter J, Holton, Janice, Quinn, Niall P, Rascol, Olivier, Shaw, Leslie M, Eidelberg, David, Bower, Pam, Cummings, Jeffrey L, Abler, Victor, Biedenharn, Judy, Bitan, Gal, Brooks, David J, Brundin, Patrik, Fernandez, Hubert, Fortier, Philip, Freeman, Roy, Gasser, Thomas, Hewitt, Art, Höglinger, Günter U, Huentelman, Matt J, Jensen, Poul H, Jeromin, Andreas, Kang, Un Jung, Kaufmann, Horacio, Kellerman, Lawrence, Khurana, Vikram, Klockgether, Thomas, Kim, Woojin Scott, Langer, Carol, LeWitt, Peter, Masliah, Eliezer, Meissner, Wassilios, Melki, Ronald, Ostrowitzki, Susanne, Piantadosi, Steven, Poewe, Werner, Robertson, David, Roemer, Cyndi, Schenk, Dale, Schlossmacher, Michael, Schmahmann, Jeremy D, Seppi, Klaus, Shih, Lily, Siderowf, Andrew, Stebbins, Glenn T, Stefanova, Nadia, Tsuji, Shoji, Sutton, Sharon, and Zhang, Jing
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Rare Diseases ,Humans ,Multiple System Atrophy ,Nevada ,Patient Advocacy ,Research Design ,Clinical Sciences ,Neurosciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Multiple system atrophy (MSA) is a rare neurodegenerative disorder with substantial knowledge gaps despite recent gains in basic and clinical research. In order to make further advances, concerted international collaboration is vital. In 2014, an international meeting involving leaders in the field and MSA advocacy groups was convened in Las Vegas, Nevada, to identify critical research areas where consensus and progress was needed to improve understanding, diagnosis, and treatment of the disease. Eight topic areas were defined: pathogenesis, preclinical modeling, target identification, endophenotyping, clinical measures, imaging biomarkers, nonimaging biomarkers, treatments/trial designs, and patient advocacy. For each topic area, an expert served as a working group chair and each working group developed priority-ranked research recommendations with associated timelines and pathways to reach the intended goals. In this report, each groups' recommendations are provided.
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- 2018
431. Association of Cerebral Amyloid-β Aggregation With Cognitive Functioning in Persons Without Dementia
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Jansen, Willemijn J, Ossenkoppele, Rik, Tijms, Betty M, Fagan, Anne M, Hansson, Oskar, Klunk, William E, van der Flier, Wiesje M, Villemagne, Victor L, Frisoni, Giovanni B, Fleisher, Adam S, Lleó, Alberto, Mintun, Mark A, Wallin, Anders, Engelborghs, Sebastiaan, Na, Duk L, Chételat, Gäel, Molinuevo, José Luis, Landau, Susan M, Mattsson, Niklas, Kornhuber, Johannes, Sabri, Osama, Rowe, Christopher C, Parnetti, Lucilla, Popp, Julius, Fladby, Tormod, Jagust, William J, Aalten, Pauline, Lee, Dong Young, Vandenberghe, Rik, de Oliveira, Catarina Resende, Kapaki, Elisabeth, Froelich, Lutz, Ivanoiu, Adrian, Gabryelewicz, Tomasz, Verbeek, Marcel M, Sanchez-Juan, Páscual, Hildebrandt, Helmut, Camus, Vincent, Zboch, Marzena, Brooks, David J, Drzezga, Alexander, Rinne, Juha O, Newberg, Andrew, de Mendonça, Alexandre, Sarazin, Marie, Rabinovici, Gil D, Madsen, Karine, Kramberger, Milica G, Nordberg, Agneta, Mok, Vincent, Mroczko, Barbara, Wolk, David A, Meyer, Philipp T, Tsolaki, Magda, Scheltens, Philip, Verhey, Frans RJ, Visser, Pieter Jelle, Aarsland, Dag, Alcolea, Daniel, Alexander, Myriam, Almdahl, Ina S, Arnold, Steven E, Baldeiras, Inês, Barthel, Henryk, van Berckel, Bart NM, Blennow, Kaj, van Buchem, Mark A, Cavedo, Enrica, Chen, Kewei, Chipi, Elena, Cohen, Ann D, Förster, Stefan, Fortea, Juan, Frederiksen, Kristian S, Freund-Levi, Yvonne, Gkatzima, Olymbia, Gordon, Mark Forrest, Grimmer, Timo, Hampel, Harald, Hausner, Lucrezia, Hellwig, Sabine, Herukka, Sanna-Kaisa, Johannsen, Peter, Klimkowicz-Mrowiec, Aleksandra, Köhler, Sebastian, Koglin, Norman, van Laere, Koen, de Leon, Mony, Lisetti, Viviana, Maier, Wolfgang, Marcusson, Jan, Meulenbroek, Olga, Møllergård, Hanne M, Morris, John C, Nordlund, Arto, Novak, Gerald P, Paraskevas, George P, Perera, Gayan, Peters, Oliver, and Ramakers, Inez HGB
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Health Services and Systems ,Health Sciences ,Acquired Cognitive Impairment ,Alzheimer's Disease Related Dementias (ADRD) ,Neurosciences ,Aging ,Dementia ,Brain Disorders ,Behavioral and Social Science ,Neurodegenerative ,Alzheimer's Disease ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Clinical Research ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Mental health ,Aged ,Alzheimer Disease ,Amyloid beta-Peptides ,Brain ,Cognition Disorders ,Cognitive Dysfunction ,Cross-Sectional Studies ,Female ,Humans ,Male ,Memory ,Episodic ,Mental Status and Dementia Tests ,Middle Aged ,Positron-Emission Tomography ,Reference Values ,Amyloid Biomarker Study Group ,Other Medical and Health Sciences ,Psychology ,Cognitive Sciences ,Clinical sciences ,Clinical and health psychology - Abstract
ImportanceCerebral amyloid-β aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid aggregation and cognitive manifestation in persons without dementia is important for a better understanding of the course of AD and for the design of prevention trials.ObjectiveTo investigate whether amyloid-β aggregation is associated with cognitive functioning in persons without dementia.Design, setting, and participantsThis cross-sectional study included 2908 participants with normal cognition and 4133 with mild cognitive impairment (MCI) from 53 studies in the multicenter Amyloid Biomarker Study. Normal cognition was defined as having no cognitive concerns for which medical help was sought and scores within the normal range on cognitive tests. Mild cognitive impairment was diagnosed according to published criteria. Study inclusion began in 2013 and is ongoing. Data analysis was performed in January 2017.Main outcomes and measuresGlobal cognitive performance as assessed by the Mini-Mental State Examination (MMSE) and episodic memory performance as assessed by a verbal word learning test. Amyloid aggregation was measured with positron emission tomography or cerebrospinal fluid biomarkers and dichotomized as negative (normal) or positive (abnormal) according to study-specific cutoffs. Generalized estimating equations were used to examine the association between amyloid aggregation and low cognitive scores (MMSE score ≤27 or memory z score≤-1.28) and to assess whether this association was moderated by age, sex, educational level, or apolipoprotein E genotype.ResultsAmong 2908 persons with normal cognition (mean [SD] age, 67.4 [12.8] years), amyloid positivity was associated with low memory scores after age 70 years (mean difference in amyloid positive vs negative, 4% [95% CI, 0%-7%] at 72 years and 21% [95% CI, 10%-33%] at 90 years) but was not associated with low MMSE scores (mean difference, 3% [95% CI, -1% to 6%], P = .16). Among 4133 patients with MCI (mean [SD] age, 70.2 [8.5] years), amyloid positivity was associated with low memory (mean difference, 16% [95% CI, 12%-20%], P
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- 2018
432. Neuroimaging Studies in Non-Motor Parkinson’s Disease Symptoms
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Brooks, David J., primary
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- 2022
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433. GPU-based Private Information Retrieval for On-Device Machine Learning Inference
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Lam, Maximilian, primary, Johnson, Jeff, additional, Xiong, Wenjie, additional, Maeng, Kiwan, additional, Gupta, Udit, additional, Li, Yang, additional, Lai, Liangzhen, additional, Leontiadis, Ilias, additional, Rhu, Minsoo, additional, Lee, Hsien-Hsin S., additional, Reddi, Vijay Janapa, additional, Wei, Gu-Yeon, additional, Brooks, David, additional, and Suh, Edward, additional
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- 2024
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434. The DESI one-per cent survey: exploring the halo occupation distribution of luminous red galaxies and quasi-stellar objects with AbacusSummit
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Yuan, Sihan, primary, Zhang, Hanyu, additional, Ross, Ashley J, additional, Donald-McCann, Jamie, additional, Hadzhiyska, Boryana, additional, Wechsler, Risa H, additional, Zheng, Zheng, additional, Alam, Shadab, additional, Gonzalez-Perez, Violeta, additional, Aguilar, Jessica Nicole, additional, Ahlen, Steven, additional, Bianchi, Davide, additional, Brooks, David, additional, de la Macorra, Axel, additional, Fanning, Kevin, additional, Forero-Romero, Jaime E, additional, Honscheid, Klaus, additional, Ishak, Mustapha, additional, Kehoe, Robert, additional, Lasker, James, additional, Landriau, Martin, additional, Manera, Marc, additional, Martini, Paul, additional, Meisner, Aaron, additional, Miquel, Ramon, additional, Moustakas, John, additional, Nadathur, Seshadri, additional, Newman, Jeffrey A, additional, Nie, Jundan, additional, Percival, Will, additional, Poppett, Claire, additional, Rocher, Antoine, additional, Rossi, Graziano, additional, Sanchez, Eusebio, additional, Samushia, Lado, additional, Schubnell, Michael, additional, Seo, Hee-Jong, additional, Tarlé, Gregory, additional, Weaver, Benjamin Alan, additional, Yu, Jiaxi, additional, Zhou, Zhimin, additional, and Zou, Hu, additional
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- 2024
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435. The DESI One-percent Survey: Evidence for Assembly Bias from Low-redshift Counts-in-cylinders Measurements
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Pearl, Alan N., primary, Zentner, Andrew R., additional, Newman, Jeffrey A., additional, Bezanson, Rachel, additional, Wang, Kuan, additional, Moustakas, John, additional, Aguilar, Jessica N., additional, Ahlen, Steven, additional, Brooks, David, additional, Claybaugh, Todd, additional, Cole, Shaun, additional, Dawson, Kyle, additional, de la Macorra, Axel, additional, Doel, Peter, additional, Forero-Romero, Jamie E., additional, Gontcho A Gontcho, Satya, additional, Honscheid, Klaus, additional, Landriau, Martin, additional, Manera, Marc, additional, Martini, Paul, additional, Meisner, Aaron, additional, Miquel, Ramon, additional, Nie, Jundan, additional, Percival, Will, additional, Prada, Francisco, additional, Rezaie, Mehdi, additional, Rossi, Graziano, additional, Sanchez, Eusebio, additional, Schubnell, Michael, additional, Tarlé, Gregory, additional, Weaver, Benjamin A., additional, and Zhou, Zhimin, additional
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- 2024
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436. Constraining primordial non-Gaussianity from DESI quasar targets and Planck CMB lensing
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Krolewski, Alex, primary, Percival, Will J., additional, Ferraro, Simone, additional, Chaussidon, Edmond, additional, Rezaie, Mehdi, additional, Aguilar, Jessica Nicole, additional, Ahlen, Steven, additional, Brooks, David, additional, Dawson, Kyle, additional, de la Macorra, Axel, additional, Doel, Peter, additional, Fanning, Kevin, additional, Font-Ribera, Andreu, additional, a Gontcho, Satya Gontcho, additional, Guy, Julien, additional, Honscheid, Klaus, additional, Kehoe, Robert, additional, Kisner, Theodore, additional, Kremin, Anthony, additional, Landriau, Martin, additional, Levi, Michael E., additional, Martini, Paul, additional, Meisner, Aaron M., additional, Miquel, Ramon, additional, Nie, Jundan, additional, Poppett, Claire, additional, Ross, Ashley J., additional, Rossi, Graziano, additional, Schubnell, Michael, additional, Seo, Hee-Jong, additional, Tarlé, Gregory, additional, Vargas-Magaña, Mariana, additional, Weaver, Benjamin Alan, additional, Yèche, Christophe, additional, Zhou, Rongpu, additional, and Zhou, Zhimin, additional
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- 2024
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437. PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-percent Survey
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Hahn, ChangHoon, primary, Aguilar, Jessica Nicole, additional, Alam, Shadab, additional, Ahlen, Steven, additional, Brooks, David, additional, Cole, Shaun, additional, de la Macorra, Axel, additional, Doel, Peter, additional, Font-Ribera, Andreu A., additional, Forero-Romero, Jaime E., additional, Gontcho A Gontcho, Satya, additional, Honscheid, Klaus, additional, Huang, Song, additional, Kisner, Theodore, additional, Kremin, Anthony, additional, Landriau, Martin, additional, Manera, Marc, additional, Meisner, Aaron, additional, Miquel, Ramon, additional, Moustakas, John, additional, Nie, Jundan, additional, Poppett, Claire, additional, Rossi, Graziano, additional, Saintonge, Amélie, additional, Sanchez, Eusebio, additional, Saulder, Christoph, additional, Schubnell, Michael, additional, Seo, Hee-Jong, additional, Siudek, Małgorzata, additional, Speranza, Federico, additional, Tarlé, Gregory, additional, Weaver, Benjamin A., additional, Wechsler, Risa H., additional, Yuan, Sihan, additional, Zhou, Zhimin, additional, and Zou, Hu, additional
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- 2024
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438. 14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration
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Dos Santos, Maico Cassel, primary, Jia, Tianyu, additional, Zuckerman, Joseph, additional, Cochet, Martin, additional, Giri, Davide, additional, Loscalzo, Erik Jens, additional, Swaminathan, Karthik, additional, Tambe, Thierry, additional, Zhang, Jeff Jun, additional, Buyuktosunoglu, Alper, additional, Chiu, Kuan-Lin, additional, Guglielmo, Giuseppe Di, additional, Mantovani, Paolo, additional, Piccolboni, Luca, additional, Tombesi, Gabriele, additional, Trilla, David, additional, Wellman, John-David, additional, Yang, En-Yu, additional, Amarnath, Aporva, additional, Jing, Ying, additional, Mishra, Bakshree, additional, Park, Joshua, additional, Suresh, Vignesh, additional, Adve, Sarita, additional, Bose, Pradip, additional, Brooks, David, additional, Carloni, Luca P., additional, Shepard, Kenneth L., additional, and Wei, Gu-Yeon, additional
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- 2024
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439. Long-term follow-up observations of extreme coronal line emitting galaxies
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Clark, Peter, primary, Graur, Or, additional, Callow, Joseph, additional, Aguilar, Jessica, additional, Ahlen, Steven, additional, Anderson, Joseph P, additional, Berger, Edo, additional, Müller-Bravo, Tomás E, additional, Brink, Thomas G, additional, Brooks, David, additional, Chen, Ting-Wan, additional, Claybaugh, Todd, additional, de la Macorra, Axel, additional, Doel, Peter, additional, Filippenko, Alexei V, additional, Forero-Romero, Jamie E, additional, Gomez, Sebastian, additional, Gromadzki, Mariusz, additional, Honscheid, Klaus, additional, Inserra, Cosimo, additional, Kisner, Theodore, additional, Landriau, Martin, additional, Makrygianni, Lydia, additional, Manera, Marc, additional, Meisner, Aaron, additional, Miquel, Ramon, additional, Moustakas, John, additional, Nicholl, Matt, additional, Nie, Jundan, additional, Onori, Francesca, additional, Palmese, Antonella, additional, Poppett, Claire, additional, Reynolds, Thomas, additional, Rezaie, Mehdi, additional, Rossi, Graziano, additional, Sanchez, Eusebio, additional, Schubnell, Michael, additional, Tarlé, Gregory, additional, Weaver, Benjamin A, additional, Wevers, Thomas, additional, Young, David R, additional, Zheng, WeiKang, additional, and Zhou, Zhimin, additional
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- 2024
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440. Amyloid-β aggregates activate peripheral monocytes in mild cognitive impairment
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Juul-Madsen, Kristian, primary, Parbo, Peter, additional, Ismail, Rola, additional, Ovesen, Peter L., additional, Schmidt, Vanessa, additional, Madsen, Lasse S., additional, Thyrsted, Jacob, additional, Gierl, Sarah, additional, Breum, Mihaela, additional, Larsen, Agnete, additional, Andersen, Morten N., additional, Romero-Ramos, Marina, additional, Holm, Christian K., additional, Andersen, Gregers R., additional, Zhao, Huaying, additional, Schuck, Peter, additional, Nygaard, Jens V., additional, Sutherland, Duncan S., additional, Eskildsen, Simon F., additional, Willnow, Thomas E., additional, Brooks, David J., additional, and Vorup-Jensen, Thomas, additional
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- 2024
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441. Divergence of Safety and Security
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Brooks, David J., Coole, Michael, Bieder, Corinne, editor, and Pettersen Gould, Kenneth, editor
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- 2020
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442. Accounting: Business Reporting for Decision Making
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Jacqueline Birt, Keryn Chalmers, Suzanne Maloney, Albie Brooks, David Bond, Judy Oliver and Jacqueline Birt, Keryn Chalmers, Suzanne Maloney, Albie Brooks, David Bond, Judy Oliver
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- 2022
443. Chronic virus infection drives CD8 T cell-mediated thymic destruction and impaired negative selection
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Elsaesser, Heidi J., Mohtashami, Mahmood, Osokine, Ivan, Snell, Laura M., Cunningham, Cameron R., Boukhaled, Giselle M., McGavern, Dorian B., Zúñiga-Pflücker, Juan Carlos, and Brooks, David G.
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- 2020
444. The DESI Experiment Part I: Science,Targeting, and Survey Design
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DESI Collaboration, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E., Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C., Bell, Eric F., Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S., Briceno, Cesar, Brooks, David, Brownstein, Joel R., Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G., Cahn, Robert N., Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G., Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J., Cervantes-Cota, Jorge L., Claybaugh, Todd M., Close, Madeline, Coker, Carl T., Cole, Shaun, Comparat, Johan, Cooper, Andrew P., Cousinou, M. -C., Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P., Davis, Tamara M., Dawson, Kyle S., de la Macorra, Axel, De Vicente, Juan, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T., Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J., Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R., Finkbeiner, Douglas P., Fitzpatrick, Michael J., Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E., Fosalba, Pablo, Frenk, Carlos S., Fumagalli, Michele, Gaensicke, Boris T., Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, Guy, Julien, Habib, Salman, Heetderks, Henry, Heetderks, Ian, Heitmann, Katrin, Hellwing, Wojciech A., Herrera, David A., Ho, Shirley, Holland, Stephen, Honscheid, Klaus, Huff, Eric, Hutchinson, Timothy A., Huterer, Dragan, Hwang, Ho Seong, Laguna, Joseph Maria Illa, Ishikawa, Yuzo, Jacobs, Dianna, Jeffrey, Niall, Jelinsky, Patrick, Jennings, Elise, Jiang, Linhua, Jimenez, Jorge, Johnson, Jennifer, Joyce, Richard, Jullo, Eric, Juneau, Stéphanie, Kama, Sami, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kennamer, Noble, Kent, Stephen, Kilbinger, Martin, Kim, Alex G., Kirkby, David, Kisner, Theodore, Kitanidis, Ellie, Kneib, Jean-Paul, Koposov, Sergey, Kovacs, Eve, Koyama, Kazuya, Kremin, Anthony, Kron, Richard, Kronig, Luzius, Kueter-Young, Andrea, Lacey, Cedric G., Lafever, Robin, Lahav, Ofer, Lambert, Andrew, Lampton, Michael, Landriau, Martin, Lang, Dustin, Lauer, Tod R., Goff, Jean-Marc Le, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lee, Su-Jeong, Leitner, Daniela, Lesser, Michael, Levi, Michael E., L'Huillier, Benjamin, Li, Baojiu, Liang, Ming, Lin, Huan, Linder, Eric, Loebman, Sarah R., Lukić, Zarija, Ma, Jun, MacCrann, Niall, Magneville, Christophe, Makarem, Laleh, Manera, Marc, Manser, Christopher J., Marshall, Robert, Martini, Paul, Massey, Richard, Matheson, Thomas, McCauley, Jeremy, McDonald, Patrick, McGreer, Ian D., Meisner, Aaron, Metcalfe, Nigel, Miller, Timothy N., Miquel, Ramon, Moustakas, John, Myers, Adam, Naik, Milind, Newman, Jeffrey A., Nichol, Robert C., Nicola, Andrina, da Costa, Luiz Nicolati, Nie, Jundan, Niz, Gustavo, Norberg, Peder, Nord, Brian, Norman, Dara, Nugent, Peter, O'Brien, Thomas, Oh, Minji, Olsen, Knut A. G., Padilla, Cristobal, Padmanabhan, Hamsa, Padmanabhan, Nikhil, Palanque-Delabrouille, Nathalie, Palmese, Antonella, Pappalardo, Daniel, Pâris, Isabelle, Park, Changbom, Patej, Anna, Peacock, John A., Peiris, Hiranya V., Peng, Xiyan, Percival, Will J., Perruchot, Sandrine, Pieri, Matthew M., Pogge, Richard, Pollack, Jennifer E., Poppett, Claire, Prada, Francisco, Prakash, Abhishek, Probst, Ronald G., Rabinowitz, David, Raichoor, Anand, Ree, Chang Hee, Refregier, Alexandre, Regal, Xavier, Reid, Beth, Reil, Kevin, Rezaie, Mehdi, Rockosi, Constance M., Roe, Natalie, Ronayette, Samuel, Roodman, Aaron, Ross, Ashley J., Ross, Nicholas P., Rossi, Graziano, Rozo, Eduardo, Ruhlmann-Kleider, Vanina, Rykoff, Eli S., Sabiu, Cristiano, Samushia, Lado, Sanchez, Eusebio, Sanchez, Javier, Schlegel, David J., Schneider, Michael, Schubnell, Michael, Secroun, Aurélia, Seljak, Uros, Seo, Hee-Jong, Serrano, Santiago, Shafieloo, Arman, Shan, Huanyuan, Sharples, Ray, Sholl, Michael J., Shourt, William V., Silber, Joseph H., Silva, David R., Sirk, Martin M., Slosar, Anze, Smith, Alex, Smoot, George F., Som, Debopam, Song, Yong-Seon, Sprayberry, David, Staten, Ryan, Stefanik, Andy, Tarle, Gregory, Tie, Suk Sien, Tinker, Jeremy L., Tojeiro, Rita, Valdes, Francisco, Valenzuela, Octavio, Valluri, Monica, Vargas-Magana, Mariana, Verde, Licia, Walker, Alistair R., Wang, Jiali, Wang, Yuting, Weaver, Benjamin A., Weaverdyck, Curtis, Wechsler, Risa H., Weinberg, David H., White, Martin, Yang, Qian, Yeche, Christophe, Zhang, Tianmeng, Zhao, Gong-Bo, Zheng, Yi, Zhou, Xu, Zhou, Zhimin, Zhu, Yaling, Zou, Hu, and Zu, Ying
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
DESI (Dark Energy Spectroscopic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations (BAO) and the growth of structure through redshift-space distortions with a wide-area galaxy and quasar redshift survey. To trace the underlying dark matter distribution, spectroscopic targets will be selected in four classes from imaging data. We will measure luminous red galaxies up to $z=1.0$. To probe the Universe out to even higher redshift, DESI will target bright [O II] emission line galaxies up to $z=1.7$. Quasars will be targeted both as direct tracers of the underlying dark matter distribution and, at higher redshifts ($ 2.1 < z < 3.5$), for the Ly-$\alpha$ forest absorption features in their spectra, which will be used to trace the distribution of neutral hydrogen. When moonlight prevents efficient observations of the faint targets of the baseline survey, DESI will conduct a magnitude-limited Bright Galaxy Survey comprising approximately 10 million galaxies with a median $z\approx 0.2$. In total, more than 30 million galaxy and quasar redshifts will be obtained to measure the BAO feature and determine the matter power spectrum, including redshift space distortions.
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- 2016
445. The DESI Experiment Part II: Instrument Design
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DESI Collaboration, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E., Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C., Bell, Eric F., Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S., Briceno, Cesar, Brooks, David, Brownstein, Joel R., Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G., Cahn, Robert N., Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G., Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J., Cervantes-Cota, Jorge L., Claybaugh, Todd M., Close, Madeline, Coker, Carl T., Cole, Shaun, Comparat, Johan, Cooper, Andrew P., Cousinou, M. -C., Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P., Davis, Tamara M., Dawson, Kyle S., de la Macorra, Axel, De Vicente, Juan, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T., Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J., Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R., Finkbeiner, Douglas P., Fitzpatrick, Michael J., Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E., Fosalba, Pablo, Frenk, Carlos S., Fumagalli, Michele, Gaensicke, Boris T., Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, Guy, Julien, Habib, Salman, Heetderks, Henry, Heetderks, Ian, Heitmann, Katrin, Hellwing, Wojciech A., Herrera, David A., Ho, Shirley, Holland, Stephen, Honscheid, Klaus, Huff, Eric, Hutchinson, Timothy A., Huterer, Dragan, Hwang, Ho Seong, Laguna, Joseph Maria Illa, Ishikawa, Yuzo, Jacobs, Dianna, Jeffrey, Niall, Jelinsky, Patrick, Jennings, Elise, Jiang, Linhua, Jimenez, Jorge, Johnson, Jennifer, Joyce, Richard, Jullo, Eric, Juneau, Stéphanie, Kama, Sami, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kennamer, Noble, Kent, Stephen, Kilbinger, Martin, Kim, Alex G., Kirkby, David, Kisner, Theodore, Kitanidis, Ellie, Kneib, Jean-Paul, Koposov, Sergey, Kovacs, Eve, Koyama, Kazuya, Kremin, Anthony, Kron, Richard, Kronig, Luzius, Kueter-Young, Andrea, Lacey, Cedric G., Lafever, Robin, Lahav, Ofer, Lambert, Andrew, Lampton, Michael, Landriau, Martin, Lang, Dustin, Lauer, Tod R., Goff, Jean-Marc Le, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lee, Su-Jeong, Leitner, Daniela, Lesser, Michael, Levi, Michael E., L'Huillier, Benjamin, Li, Baojiu, Liang, Ming, Lin, Huan, Linder, Eric, Loebman, Sarah R., Lukić, Zarija, Ma, Jun, MacCrann, Niall, Magneville, Christophe, Makarem, Laleh, Manera, Marc, Manser, Christopher J., Marshall, Robert, Martini, Paul, Massey, Richard, Matheson, Thomas, McCauley, Jeremy, McDonald, Patrick, McGreer, Ian D., Meisner, Aaron, Metcalfe, Nigel, Miller, Timothy N., Miquel, Ramon, Moustakas, John, Myers, Adam, Naik, Milind, Newman, Jeffrey A., Nichol, Robert C., Nicola, Andrina, da Costa, Luiz Nicolati, Nie, Jundan, Niz, Gustavo, Norberg, Peder, Nord, Brian, Norman, Dara, Nugent, Peter, O'Brien, Thomas, Oh, Minji, Olsen, Knut A. G., Padilla, Cristobal, Padmanabhan, Hamsa, Padmanabhan, Nikhil, Palanque-Delabrouille, Nathalie, Palmese, Antonella, Pappalardo, Daniel, Pâris, Isabelle, Park, Changbom, Patej, Anna, Peacock, John A., Peiris, Hiranya V., Peng, Xiyan, Percival, Will J., Perruchot, Sandrine, Pieri, Matthew M., Pogge, Richard, Pollack, Jennifer E., Poppett, Claire, Prada, Francisco, Prakash, Abhishek, Probst, Ronald G., Rabinowitz, David, Raichoor, Anand, Ree, Chang Hee, Refregier, Alexandre, Regal, Xavier, Reid, Beth, Reil, Kevin, Rezaie, Mehdi, Rockosi, Constance M., Roe, Natalie, Ronayette, Samuel, Roodman, Aaron, Ross, Ashley J., Ross, Nicholas P., Rossi, Graziano, Rozo, Eduardo, Ruhlmann-Kleider, Vanina, Rykoff, Eli S., Sabiu, Cristiano, Samushia, Lado, Sanchez, Eusebio, Sanchez, Javier, Schlegel, David J., Schneider, Michael, Schubnell, Michael, Secroun, Aurélia, Seljak, Uros, Seo, Hee-Jong, Serrano, Santiago, Shafieloo, Arman, Shan, Huanyuan, Sharples, Ray, Sholl, Michael J., Shourt, William V., Silber, Joseph H., Silva, David R., Sirk, Martin M., Slosar, Anze, Smith, Alex, Smoot, George F., Som, Debopam, Song, Yong-Seon, Sprayberry, David, Staten, Ryan, Stefanik, Andy, Tarle, Gregory, Tie, Suk Sien, Tinker, Jeremy L., Tojeiro, Rita, Valdes, Francisco, Valenzuela, Octavio, Valluri, Monica, Vargas-Magana, Mariana, Verde, Licia, Walker, Alistair R., Wang, Jiali, Wang, Yuting, Weaver, Benjamin A., Weaverdyck, Curtis, Wechsler, Risa H., Weinberg, David H., White, Martin, Yang, Qian, Yeche, Christophe, Zhang, Tianmeng, Zhao, Gong-Bo, Zheng, Yi, Zhou, Xu, Zhou, Zhimin, Zhu, Yaling, Zou, Hu, and Zu, Ying
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
DESI (Dark Energy Spectropic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations and the growth of structure through redshift-space distortions with a wide-area galaxy and quasar redshift survey. The DESI instrument is a robotically-actuated, fiber-fed spectrograph capable of taking up to 5,000 simultaneous spectra over a wavelength range from 360 nm to 980 nm. The fibers feed ten three-arm spectrographs with resolution $R= \lambda/\Delta\lambda$ between 2000 and 5500, depending on wavelength. The DESI instrument will be used to conduct a five-year survey designed to cover 14,000 deg$^2$. This powerful instrument will be installed at prime focus on the 4-m Mayall telescope in Kitt Peak, Arizona, along with a new optical corrector, which will provide a three-degree diameter field of view. The DESI collaboration will also deliver a spectroscopic pipeline and data management system to reduce and archive all data for eventual public use.
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- 2016
446. Fathom: Reference Workloads for Modern Deep Learning Methods
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Adolf, Robert, Rama, Saketh, Reagen, Brandon, Wei, Gu-Yeon, and Brooks, David
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Computer Science - Learning - Abstract
Deep learning has been popularized by its recent successes on challenging artificial intelligence problems. One of the reasons for its dominance is also an ongoing challenge: the need for immense amounts of computational power. Hardware architects have responded by proposing a wide array of promising ideas, but to date, the majority of the work has focused on specific algorithms in somewhat narrow application domains. While their specificity does not diminish these approaches, there is a clear need for more flexible solutions. We believe the first step is to examine the characteristics of cutting edge models from across the deep learning community. Consequently, we have assembled Fathom: a collection of eight archetypal deep learning workloads for study. Each of these models comes from a seminal work in the deep learning community, ranging from the familiar deep convolutional neural network of Krizhevsky et al., to the more exotic memory networks from Facebook's AI research group. Fathom has been released online, and this paper focuses on understanding the fundamental performance characteristics of each model. We use a set of application-level modeling tools built around the TensorFlow deep learning framework in order to analyze the behavior of the Fathom workloads. We present a breakdown of where time is spent, the similarities between the performance profiles of our models, an analysis of behavior in inference and training, and the effects of parallelism on scaling., Comment: Proceedings of the IEEE International Symposium on Workload Characterization, 2016
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- 2016
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447. VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning
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Ostrovski, Fernanda, McMahon, Richard G., Connolly, Andrew J., Lemon, Cameron A., Auger, Matthew W., Banerji, Manda, Hung, Johnathan M., Koposov, Sergey E., Lidman, Christopher E., Reed, Sophie L., Allam, Sahar, Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Buckley-Geer, Elizabeth, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Carretero, Jorge, Cunha, Carlos E., da Costa, Luiz N., Desai, Shantanu, Diehl, H. Thomas, Dietrich, Jörg P., Evrard, August E., Finley, David A., Flaugher, Brenna, Fosalba, Pablo, Frieman, Josh, Gerdes, David W., Goldstein, Daniel A., Gruen, Daniel, Gruendl, Robert A., Gutierrez, Gaston, Honscheid, Klaus, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Lima, Marcos, Lin, Huan, Maia, Marcio A. G., Marshall, Jennifer L., Martini, Paul, Melchior, Peter, Miquel, Ramon, Ogando, Ricardo, Malagón, Andrés Plazas, Reil, Kevin, Romer, Kathy, Sanchez, Eusebio, Santiago, Basilio, Scarpine, Vic, Sevilla-Noarbe, Ignacio, Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Tarle, Gregory, Thomas, Daniel, Tucker, Douglas L., and Walker, Alistair R.
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Astrophysics - Astrophysics of Galaxies - Abstract
We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift $z_{s}=2.74$ and image separation of $2.9"$ lensed by a foreground $z_{l}=0.40$ elliptical galaxy. Since the images of gravitationally lensed quasars are the superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and $gi$ multicolour photometric observations from the Dark Energy Survey (DES), near IR $JK$ photometry from the VISTA Hemisphere Survey (VHS) and WISE mid IR photometry, we have identified a candidate system with two catalogue components with $i_{AB}=18.61$ and $i_{AB}=20.44$ comprised of an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of $z=2.739\pm0.003$ and a foreground early type galaxy with $z=0.400\pm0.002$. We model the system as a single isothermal ellipsoid and find the Einstein radius $\theta_E \sim 1.47"$, enclosed mass $M_{enc} \sim 4 \times 10^{11}$M$_{\odot}$ and a time delay of $\sim$52 days. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1., Comment: 11 pages, 7 figures, 7 tables, MNRAS accepted
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- 2016
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448. Properties and Modeling of Unresolved Fine Structure Loops Observed in the Solar Transition Region by IRIS
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Brooks, David H., Reep, Jeffrey W., and Warren, Harry P.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Recent observations from the Interface Region Imaging Spectrograph (IRIS) have discovered a new class of numerous low-lying dynamic loop structures, and it has been argued that they are the long-postulated unresolved fine structures (UFS) that dominate the emission of the solar transition region. In this letter, we combine IRIS measurements of the properties of a sample of 108 UFS (intensities, lengths, widths, lifetimes) with 1-D non-equilibrium ionization simulations using the HYDRAD hydrodynamic model to examine whether the UFS are now truly spatially resolved in the sense of being individual structures rather than composed of multiple magnetic threads. We find that a simulation of an impulsively heated single strand can reproduce most of the observed properties suggesting that the UFS may be resolved, and the distribution of UFS widths implies that they are structured on a spatial scale of 133km on average. Spatial scales of a few hundred km appear to be typical for a range of chromospheric and coronal structures, and we conjecture that this could be an important clue to the coronal heating process., Comment: This is the version to be published
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- 2016
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449. Discovery of a z=0.65 Post-Starburst BAL Quasar in the DES Supernova Fields
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Mudd, Dale, Martini, Paul, Tie, Suk Sien, Lidman, Chris, McMahon, Richard, Banerji, Manda, Davis, Tamara, Peterson, Bradley, Sharp, Rob, Childress, Michael, Lewis, Geraint, Tucker, Brad, Yuan, Fang, Abbot, Tim, Abdalla, Filipe, Allam, Sahar, Benoit-Levy, Aurelien, Bertin, Emmanuel, Brooks, David, Rosell, A. Camero, Kind, Matias Carrasco, Carretero, Jorge, da Costa, Luiz N., Desai, Shantanu, Diehl, Thomas, Eifler, Tim, Finley, David, Flaugher, Brenna, Glazebrook, Karl, Gruen, Daniel, Gruendl, Robert, Gutierrez, Gaston, Hinton, Samuel, Honscheid, Klaus, James, David, Kuehn, Kyler, Kuropatkin, Nikolav, Macaulay, Edward, Maia, M. A. G., Miquel, Ramon, Ogando, Ricardo, Plazas, Andres, Riel, Kevin, Sanchez, Eusebio, Santiago, Basillio, Schubnell, Michael, Sevilla-Noarbe, Ignacio, Smith, R. C., Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Swanson, Molly, Tarle, Gregory, Thomas, Daniel, Uddin, Syed, Walker, Alistair, Zhang, Bonnie, and Collaboration, The DES
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the discovery of a z=0.65 low-ionization broad absorption line (LoBAL) quasar in a post-starburst galaxy in data from the Dark Energy Survey (DES) and spectroscopy from the Australian Dark Energy Survey (OzDES). LoBAL quasars are a minority of all BALs, and rarer still is that this object also exhibits broad FeII (an FeLoBAL) and Balmer absorption. This is the first BAL quasar that has signatures of recently truncated star formation, which we estimate ended about 40 Myr ago. The characteristic signatures of an FeLoBAL require high column densities, which could be explained by the emergence of a young quasar from an early, dust-enshrouded phase, or by clouds compressed by a blast wave. The age of the starburst component is comparable to estimates of the lifetime of quasars, so if we assume the quasar activity is related to the truncation of the star formation, this object is better explained by the blast wave scenario., Comment: 7 pages, 4 figures, and 1 table; Submitted to MNRAS. For a brief video summarizing the paper, please see the Coffee Brief at this link: https://www.youtube.com/watch?v=jLhHSFU9u3g&feature=youtu.be Authors updated!
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- 2016
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450. Full-Sun observations for identifying the source of the slow solar wind
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Brooks, David H., Ugarte-Urra, Ignacio, and Warren, Harry P.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Fast (>700 km/s) and slow (~400 km/s) winds stream from the Sun, permeate the heliosphere and influence the near-Earth environment. While the fast wind is known to emanate primarily from polar coronal holes, the source of the slow wind remains unknown. Here we identify possible sites of origin using a slow solar wind source map of the entire Sun, which we construct from specially designed, full- disk observations from the Hinode satellite, and a magnetic field model. Our map provides a full-Sun observation that combines three key ingredients for identifying the sources: velocity, plasma composition and magnetic topology and shows them as solar wind composition plasma outflowing on open magnetic field lines. The area coverage of the identified sources is large enough that the sum of their mass contributions can explain a significant fraction of the mass loss rate of the solar wind., Comment: Published in Nature Communications in 2015 and can be found at http://www.nature.com/ncomms/2015/150106/ncomms6947/full/ncomms6947.html
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- 2016
- Full Text
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