553 results on '"Lesser, Michael P."'
Search Results
2. Approaches to lowering the cost of large space telescopes
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Douglas, Ewan S, Aldering, Greg, Allan, Greg W., Anche, Ramya, Angel, Roger, Ard, Cameron C., Chakrabarti, Supriya, Close, Laird M., Derby, Kevin, Edelstein, Jerry, Ford, John, Gersh-Range, Jessica, Haffert, Sebastiaan Y., Ingraham, Patrick J., Kang, Hyukmo, Kelly, Douglas M., Kim, Daewook, Lesser, Michael, Leisenring, Jarron M., Lin, Yu-Chia, Males, Jared R., Martin, Buddy, Payan, Bianca Alondra, M., Sai Krishanth P., Rubin, David, Selznick, Sanford, Van Gorkom, Kyle, Jannuzi, Buell T., and Perlmutter, Saul
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
New development approaches, including launch vehicles and advances in sensors, computing, and software, have lowered the cost of entry into space, and have enabled a revolution in low-cost, high-risk Small Satellite (SmallSat) missions. To bring about a similar transformation in larger space telescopes, it is necessary to reconsider the full paradigm of space observatories. Here we will review the history of space telescope development and cost drivers, and describe an example conceptual design for a low cost 6.5 m optical telescope to enable new science when operated in space at room temperature. It uses a monolithic primary mirror of borosilicate glass, drawing on lessons and tools from decades of experience with ground-based observatories and instruments, as well as flagship space missions. It takes advantage, as do large launch vehicles, of increased computing power and space-worthy commercial electronics in low-cost active predictive control systems to maintain stability. We will describe an approach that incorporates science and trade study results that address driving requirements such as integration and testing costs, reliability, spacecraft jitter, and wavefront stability in this new risk-tolerant "LargeSat" context., Comment: Presented at SPIE, Optics+Photonics 2023, Astronomical Optics: Design, Manufacture, and Test of Space and Ground Systems IV in San Diego, CA, USA. Minor typos corrected and DOI added 2023 Oct 19th
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- 2023
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3. Function and stability of mesophotic coral reefs
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Slattery, Marc, Lesser, Michael P., Rocha, Luiz A., Spalding, Heather L., and Smith, Tyler B.
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- 2024
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4. Correction: Quantifying sponge communities from shallow to mesophotic depths using orthorectified imagery
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Lesser, Michael P., Slattery, Marc, and Macartney, Keir J.
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- 2024
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5. Quantifying sponge communities from shallow to mesophotic depths using orthorectified imagery
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Lesser, Michael P., Slattery, Marc, and Macartney, Keir J.
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- 2023
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6. The Third Data Release of the Beijing-Arizona Sky Survey
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Zou, Hu, Zhou, Xu, Fan, Xiaohui, Zhang, Tianmeng, Zhou, Zhimin, Peng, Xiyan, Nie, Jundan, Jiang, Linhua, McGreer, Ian, Cai, Zheng, Chen, Guangwen, Chen, Xinkai, Dey, Arjun, Fan, Dongwei, Findlay, Joseph R., Gao, Jinghua, Gu, Yizhou, Guo, Yucheng, He, Boliang, Jiang, Zhaoji, Jin, Junjie, Kong, Xu, Lang, Dustin, Lei, Fengjie, Lesser, Michael, Li, Feng, Li, Zefeng, Lin, Zesen, Ma, Jun, Maxwell, Moe, Meng, Xiaolei, Myers, Adam D., Ning, Yuanhang, Schlegel, David, Shao, Yali, Shi, Dongdong, Sun, Fengwu, Wang, Jiali, Wang, Shu, Wang, Yonghao, Wei, Peng, Wu, Hong, Wu, Jin, Wu, Xiaohan, Yang, Jinyi, Yang, Qian, Yuan, Qirong, and Yue, Minghao
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The Beijing-Arizona Sky Survey (BASS) is a wide and deep imaging survey to cover a 5400 deg$^2$ area in the Northern Galactic Cap with the 2.3m Bok telescope using two filters ($g$ and $r$ bands). The Mosaic $z$-band Legacy Survey (MzLS) covers the same area in $z$ band with the 4m Mayall telescope. These two surveys will be used for spectroscopic targeting of the Dark Energy Spectroscopic Instrument (DESI). The BASS survey observations were completed in 2019 March. This paper describes the third data release (DR3) of BASS, which contains the photometric data from all BASS and MzLS observations between 2015 January and 2019 March. The median astrometric precision relative to {\it Gaia} positions is about 17 mas and the median photometric offset relative to the PanSTARRS1 photometry is within 5 mmag. The median $5\sigma$ AB magnitude depths for point sources are 24.2, 23.6, and 23.0 mag for $g$, $r$, and $z$ bands, respectively. The photometric depth within the survey area is highly homogeneous, with the difference between the 20\% and 80\% depth less than 0.3 mag. The DR3 data, including raw data, calibrated single-epoch images, single-epoch photometric catalogs, stacked images, and co-added photometric catalogs, are publicly accessible at \url{http://batc.bao.ac.cn/BASS/doku.php?id=datarelease:home}., Comment: published in ApJS
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- 2019
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7. Trait-Based Comparison of Coral and Sponge Microbiomes.
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Fiore, Cara L, Jarett, Jessica K, Steinert, Georg, and Lesser, Michael P
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Corals and sponges harbor diverse microbial communities that are integral to the functioning of the host. While the taxonomic diversity of their microbiomes has been well-established for corals and sponges, their functional roles are less well-understood. It is unclear if the similarities of symbiosis in an invertebrate host would result in functionally similar microbiomes, or if differences in host phylogeny and environmentally driven microhabitats within each host would shape functionally distinct communities. Here we addressed this question, using metatranscriptomic and 16S rRNA gene profiling techniques to compare the microbiomes of two host organisms from different phyla. Our results indicate functional similarity in carbon, nitrogen, and sulfur assimilation, and aerobic nitrogen cycling. Additionally, there were few statistical differences in pathway coverage or abundance between the two hosts. For example, we observed higher coverage of phosphonate and siderophore metabolic pathways in the star coral, Montastraea cavernosa, while there was higher coverage of chloroalkane metabolism in the giant barrel sponge, Xestospongia muta. Higher abundance of genes associated with carbon fixation pathways was also observed in M. cavernosa, while in X. muta there was higher abundance of fatty acid metabolic pathways. Metagenomic predictions based on 16S rRNA gene profiling analysis were similar, and there was high correlation between the metatranscriptome and metagenome predictions for both hosts. Our results highlight several metabolic pathways that exhibit functional similarity in these coral and sponge microbiomes despite the taxonomic differences between the two microbiomes, as well as potential specialization of some microbially based metabolism within each host.
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- 2020
8. Cophylogeny and convergence shape holobiont evolution in sponge–microbe symbioses
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Sabrina Pankey, M., Plachetzki, David C., Macartney, Keir J., Gastaldi, Marianela, Slattery, Marc, Gochfeld, Deborah J., and Lesser, Michael P.
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- 2022
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9. Overview of the DESI Legacy Imaging Surveys
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Dey, Arjun, Schlegel, David J., Lang, Dustin, Blum, Robert, Burleigh, Kaylan, Fan, Xiaohui, Findlay, Joseph R., Finkbeiner, Doug, Herrera, David, Juneau, Stephanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Myers, Adam D., Moustakas, John, Nugent, Peter, Patej, Anna, Schlafly, Edward F., Walker, Alistair R., Valdes, Francisco, Weaver, Benjamin A., Zou, Christophe Yeche Hu, Zhou, Xu, Abareshi, Behzad, Abbott, T. M. C., Abolfathi, Bela, Aguilera, C., Alam, Shadab, Allen, Lori, Alvarez, A., Annis, James, Ansarinejad, Behzad, Aubert, Marie, Beechert, Jacqueline, Bell, Eric F., BenZvi, Segev Y., Beutler, Florian, Bielby, Richard M., Bolton, Adam S., Buckley-Geer, Cesar Briceno Elizabeth J., Butler, Karen, Calamida, Annalisa, Carlberg, Raymond G., Carter, Paul, Casas, Ricard, Castander, Francisco J., Choi, Yumi, Comparat, Johan, Cukanovaite, Elena, Delubac, Timothee, DeVries, Kaitlin, Dey, Sharmila, Dhungana, Govinda, Dickinson, Mark, Ding, Zhejie, Donaldson, John B., Duan, Yutong, Duckworth, Christopher J., Eftekharzadeh, Sarah, Eisenstein, Daniel J., Etourneau, Thomas, Fagrelius, Parker A., Farihi, Jay, Fitzpatrick, Mike, Font-Ribera, Andreu, Fulmer, Leah, Gansicke, Boris T., Gaztanaga, Enrique, George, Koshy, Gerdes, David W., Gontcho, Satya Gontcho A, Gorgoni, Claudio, Green, Gregory, Guy, Julien, Harmer, Diane, Hernandez, M., Honscheid, Klaus, Lijuan, Huang, James, David, Jannuzi, Buell T., Jiang, Linhua, Joyce, Richard, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kneib, Jean-Paul, Kueter-Young, Andrea, Lan, Ting-Wen, Lauer, Tod, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lesser, Michael, Levasseur, Laurence Perreault, Li, Ting S., Mann, Justin L., Marshall, Bob, Martinez-Vazquez, C. E., Martini, Paul, Bourboux, Helion du Mas des, McManus, Sean, Meier, Tobias Gabriel, Menard, Brice, Metcalfe, Nigel, Munoz-Gutierrez, Andrea, Najita, Joan, Napier, Kevin, Narayan, Gautham, Newman, Jeffrey A., Nie, Jundan, Nord, Brian, Norman, Dara J., Olsen, Knut A. G., Paat, Anthony, Palanque-Delabrouille, Nathalie, Peng, Xiyan, Poppett, Claire L., Poremba, Megan R., Prakash, Abhishek, Rabinowitz, David, Raichoor, Anand, Rezaie, Mehdi, Robertson, A. N., Roe, Natalie A., Ross, Ashley J., Ross, Nicholas P., Rudnick, Gregory, Safonova, Sasha, Saha, Abhijit, Sanchez, F. Javier, Savary, Elodie, Schweiker, Heidi, Scott, Adam, Seo, Hee-Jong, Shan, Huanyuan, Silva, David R., Slepian, Zachary, Soto, Christian, Sprayberry, David, Staten, Ryan, Stillman, Coley M., Stupak, Robert J., Summers, David L., Tie, Suk Sien, Tirado, H., Vargas-Magana, Mariana, Vivas, A. Katherina, Wechsler, Risa H., Williams, Doug, Yang, Jinyi, Yang, Qian, Yapici, Tolga, Zaritsky, Dennis, Zenteno, A., Zhang, Kai, Zhang, Tianmeng, Zhou, Rongpu, and Zhou, Zhimin
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The DESI Legacy Imaging Surveys are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image approximately 14,000 deg^2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12 and 22 micorons) observed by the Wide-field Infrared Survey Explorer (WISE) satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project., Comment: 47 pages, 18 figures; accepted for publication in the Astronomical Journal
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- 2018
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10. The Second Data Release of the Beijing-Arizona Sky Survey
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Zou, Hu, Zhang, Tianmeng, Zhou, Zhimin, Peng, Xiyan, Nie, Jundan, Zhou, Xu, Fan, Xiaohui, Jiang, Linhua, McGreer, Ian, Dey, Arjun, Fan, Dongwei, Findlay, Joseph R., Gao, Jinhua, Gu, Yizhou, Guo, Yucheng, He, Boliang, Jin, Junjie, Kong, Xu, Lang, Dustin, Lei, Fengjie, Lesser, Michael, Li, Feng, Ma, Jun, Meng, Xiaolei, Maxwell, Moe, Myers, Adam D., Rui, Liming, Schlegel, David, Sun, Fengwu, Wang, Jiali, and Yuan, Qirong
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
This paper presents the second data release (DR2) of the Beijing-Arizona Sky Survey (BASS). BASS is an imaging survey of about 5400 deg$^2$ in $g$ and $r$ bands using the 2.3 m Bok telescope. DR2 includes the observations as of July 2017 obtained by BASS and Mayall $z$-band Legacy Survey (MzLS). This is our first time to include the MzLS data covering the same area as BASS. BASS and MzLS have respectively completed about 72% and 76% of their observations. The two surveys will be served for the spectroscopic targeting of the upcoming Dark Energy Spectroscopic Instrument. Both BASS and MzLS data are reduced by the same pipeline. We have updated the basic data reduction and photometric methods in DR2. In particular, source detections are performed on stacked images, and photometric measurements are co-added from single-epoch images based on these sources. The median 5$\sigma$ depths with corrections of the Galactic extinction are 24.05, 23.61, and 23.10 mag for $g$, $r$, and $z$ bands, respectively. The DR2 data products include stacked images, co-added catalogs, and single-epoch images and catalogs. The BASS website (http://batc.bao.ac.cn/BASS/) provides detailed information and links to download the data., Comment: 23 pages, published in AJ
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- 2017
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11. Overview of the DESI Legacy Imaging Surveys
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Dey, Arjun, Schlegel, David J, Lang, Dustin, Blum, Robert, Burleigh, Kaylan, Fan, Xiaohui, Findlay, Joseph R, Finkbeiner, Doug, Herrera, David, Juneau, Stéphanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Myers, Adam D, Moustakas, John, Nugent, Peter, Patej, Anna, Schlafly, Edward F, Walker, Alistair R, Valdes, Francisco, Weaver, Benjamin A, Yèche, Christophe, Zou, Hu, Zhou, Xu, Abareshi, Behzad, Abbott, TMC, Abolfathi, Bela, Aguilera, C, Alam, Shadab, Allen, Lori, Alvarez, A, Annis, James, Ansarinejad, Behzad, Aubert, Marie, Beechert, Jacqueline, Bell, Eric F, BenZvi, Segev Y, Beutler, Florian, Bielby, Richard M, Bolton, Adam S, Briceño, César, Buckley-Geer, Elizabeth J, Butler, Karen, Calamida, Annalisa, Carlberg, Raymond G, Carter, Paul, Casas, Ricard, Castander, Francisco J, Choi, Yumi, Comparat, Johan, Cukanovaite, Elena, Delubac, Timothée, DeVries, Kaitlin, Dey, Sharmila, Dhungana, Govinda, Dickinson, Mark, Ding, Zhejie, Donaldson, John B, Duan, Yutong, Duckworth, Christopher J, Eftekharzadeh, Sarah, Eisenstein, Daniel J, Etourneau, Thomas, Fagrelius, Parker A, Farihi, Jay, Fitzpatrick, Mike, Font-Ribera, Andreu, Fulmer, Leah, Gänsicke, Boris T, Gaztanaga, Enrique, George, Koshy, Gerdes, David W, Gontcho, Satya Gontcho A, Gorgoni, Claudio, Green, Gregory, Guy, Julien, Harmer, Diane, Hernandez, M, Honscheid, Klaus, Huang, Lijuan, James, David J, Jannuzi, Buell T, Jiang, Linhua, Joyce, Richard, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Jean-Paul, Kneib, Kueter-Young, Andrea, Lan, Ting-Wen, Lauer, Tod R, Le Guillou, Laurent, Le Van Suu, Auguste, Lee, Jae Hyeon, Lesser, Michael, Levasseur, Laurence Perreault, Li, Ting S, Mann, Justin L, and Marshall, Robert
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Space Sciences ,Physical Sciences ,catalogs ,surveys ,astro-ph.IM ,Astronomical and Space Sciences ,Astronomy & Astrophysics ,Astronomical sciences ,Particle and high energy physics - Abstract
The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image ≈14,000 deg2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μm) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project.
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- 2019
12. Community structure of coral microbiomes is dependent on host morphology
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Morrow, Kathleen M., Pankey, M. Sabrina, and Lesser, Michael P.
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- 2022
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13. Microbiome diversity and metabolic capacity determines the trophic ecology of the holobiont in Caribbean sponges
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Lesser, Michael P., Sabrina Pankey, M., Slattery, Marc, Macartney, Keir J., and Gochfeld, Deborah J.
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- 2022
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14. Project Overview of the Beijing-Arizona Sky Survey
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Zou, Hu, Zhou, Xu, Fan, Xiaohui, Zhang, Tianmeng, Zhou, Zhimin, Nie, Jundan, Peng, Xiyan, McGreer, Ian, Jiang, Linhua, Dey, Arjun, Fan, Dongwei, He, Boliang, Jiang, Zhaoji, Lang, Dustin, Lesser, Michael, Ma, Jun, Mao, Shude, Schlegel, David, and Wang, Jiali
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Astrophysics - Astrophysics of Galaxies - Abstract
The Beijing-Arizona Sky Survey (BASS) is a wide-field two-band photometric survey of the Northern Galactic Cap using the 90Prime imager on the 2.3 m Bok telescope at Kitt Peak. It is a four-year collaboration between the National Astronomical Observatory of China and Steward Observatory, the University of Arizona, serving as one of the three imaging surveys to provide photometric input catalogs for target selection of the Dark Energy Spectroscopic Instrument (DESI) project. BASS will take up to 240 dark/grey nights to cover an area of about 5400 deg$^2$ in the $g$ and $r$ bands. The 5$\sigma$ limiting AB magnitudes for point sources in the two bands, corrected for the Galactic extinction, are 24.0 and 23.4 mag, respectively. BASS, together with other DESI imaging surveys, will provide unique science opportunities that cover a wide range of topics in both Galactic and extragalactic astronomy., Comment: 10 pages, submitted to PASP
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- 2017
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15. The First Data Release of the Beijing-Arizona Sky Survey
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Zou, Hu, Zhang, Tianmeng, Zhou, Zhimin, Nie, Jundan, Peng, Xiyan, Zhou, Xu, Jiang, Linhua, Cai, Zheng, Dey, Arjun, Fan, Xiaohui, Fan, Dongwei, Guo, Yucheng, He, Boliang, Jiang, Zhaoji, Lang, Dustin, Lesser, Michael, Li, Zefeng, Ma, Jun, Mao, Shude, McGreer, Ian, Schlegel, David, Shao, Yali, Wang, Jiali, Wang, Shu, Wu, Jin, Wu, Xiaohan, Yang, Qian, and Yue, Minghao
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Astrophysics - Astrophysics of Galaxies - Abstract
The Beijing-Arizona Sky Survey (BASS) is a new wide-field legacy imaging survey in the northern Galactic cap using the 2.3m Bok telescope. The survey will cover about 5400 deg$^2$ in the $g$ and $r$ bands, and the expected 5$\sigma$ depths (corrected for the Galactic extinction) in the two bands are 24.0 and 23.4 mag, respectively. BASS started observations in January 2015, and has completed about 41% of the whole area as of July 2016. The first data release contains both calibrated images and photometric catalogs obtained in 2015 and 2016. The depths of single-epoch images in the two bands are 23.4 and 22.9 mag, and the full depths of three epochs are about 24.1 and 23.5 mag, respectively., Comment: 16 pages, published by AJ
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- 2017
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16. The Galactic extinction and reddening from the South Galactic Cap U-band Sky Survey: u band galaxy number counts and $u-r$ color distribution
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Li, Linlin, Shen, Shiyin, Hou, Jinliang, Yuan, Fangting, Zhong, Jing, Zou, Hu, Zhou, Xu, Jiang, Zhaoji, Peng, Xiyan, Fan, Dongwei, Fan, Xiaohui, Fan, Zhou, He, Boliang, Jing, Yipeng, Lesser, Michael, Li, Cheng, Ma, Jun, Nie, Jundan, Wang, Jiali, Wu, Zhenyu, Zhang, Tianmeng, and Zhou, Zhimin
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Astrophysics - Astrophysics of Galaxies - Abstract
We study the integral Galactic extinction and reddening based on the galaxy catalog of the South Galactic Cap U-band Sky Survey (SCUSS), where $u$ band galaxy number counts and $u-r$ color distribution are used to derive the Galactic extinction and reddening respectively. We compare these independent statistical measurements with the reddening map of \citet{Schlegel1998}(SFD) and find that both the extinction and reddening from the number counts and color distribution are in good agreement with the SFD results at low extinction regions ($E(B-V)^{SFD}<0.12$ mag). However, for high extinction regions ($E(B-V)^{SFD}>0.12$ mag), the SFD map overestimates the Galactic reddening systematically, which can be approximated by a linear relation $\Delta E(B-V)= 0.43[E(B-V)^{SFD}-0.12$]. By combing the results of galaxy number counts and color distribution together, we find that the shape of the Galactic extinction curve is in good agreement with the standard $R_V=3.1$ extinction law of \cite{ODonnell1994}.
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- 2017
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17. Reply to Kahng, S.E. Comment on "Lesser et al. Using Stable Isotope Analyses to Assess the Trophic Ecology of Scleractinian Corals. Oceans 2022, 3 , 527–546".
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Lesser, Michael P., Slattery, Marc, and Macartney, Keir J.
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MARINE biology , *SCLERACTINIA , *DISSOLVED organic matter , *ESSENTIAL amino acids , *AMINO acid analysis , *CORALS , *CORAL bleaching - Published
- 2024
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18. SCUSS u-Band Emission as a Star-Formation-Rate Indicator
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Zhou, Zhimin, Zhou, Xu, Wu, Hong, Fan, Xiao-Hui, Fan, Zhou, Jiang, Zhao-Ji, Jing, Yi-Peng, Li, Cheng, Lesser, Michael, Jiang, Lin-Hua, Ma, Jun, Nie, Jun-Dan, Shen, Shi-Yin, Wang, Jia-Li, Wu, Zhen-Yu, Zhang, Tian-Meng, and Zou, Hu
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Astrophysics - Astrophysics of Galaxies - Abstract
We present and analyze the possibility of using optical ${\it u}$-band luminosities to estimate star-formation rates (SFRs) of galaxies based on the data from the South Galactic Cap ${\it u }$ band Sky Survey (SCUSS), which provides a deep ${\it u}$-band photometric survey covering about 5000 $deg^2$ of the South Galactic Cap. Based on two samples of normal star-forming galaxies selected by the BPT diagram, we explore the correlations between ${\it u}$-band, H$\alpha$, and IR luminosities by combing SCUSS data with the Sloan Digital Sky Survey (SDSS) and ${\it Wide}$-${\it field\ Infrared\ Survey\ Explorer}$ (${\it WISE}$). The attenuation-corrected ${\it u}$-band luminosities are tightly correlated with the Balmer decrement-corrected H$\alpha$ luminosities with an rms scatter of $\sim$ 0.17 dex. The IR-corrected ${\it u }$ luminosities are derived based on the correlations between the attenuation of ${\it u}$-band luminosities and ${\it WISE}$ 12 (or 22) $\mu$m luminosities, and then calibrated with the Balmer-corrected H$\alpha$ luminosities. The systematic residuals of these calibrations are tested against the physical properties over the ranges covered by our sample objects. We find that the best-fitting nonlinear relations are better than the linear ones and recommended to be applied in the measurement of SFRs. The systematic deviations mainly come from the pollution of old stellar population and the effect of dust extinction; therefore, a more detailed analysis is needed in the future work., Comment: 10 pages, 11 figures, 1 table; accepted for publication in ApJ
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- 2016
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19. The Second Data Release of the Beijing–Arizona Sky Survey
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Zou, Hu, Zhang, Tianmeng, Zhou, Zhimin, Peng, Xiyan, Nie, Jundan, Zhou, Xu, Fan, Xiaohui, Jiang, Linhua, McGreer, Ian, Dey, Arjun, Fan, Dongwei, Findlay, Joseph R, Gao, Jinhua, Gu, Yizhou, Guo, Yucheng, He, Boliang, Jin, Junjie, Kong, Xu, Lang, Dustin, Lei, Fengjie, Lesser, Michael, Li, Feng, Ma, Jun, Meng, Xiaolei, Maxwell, Moe, Myers, Adam D, Rui, Liming, Schlegel, David, Sun, Fengwu, Wu, Hong, Wang, Jiali, and Yuan, Qirong
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Space Sciences ,Physical Sciences ,surveys ,techniques: image processing ,techniques: photometric ,Astronomical and Space Sciences ,Atomic ,Molecular ,Nuclear ,Particle and Plasma Physics ,Physical Chemistry (incl. Structural) ,Astronomy & Astrophysics ,Astronomical sciences - Abstract
This paper describes the second data release (DR2) of the Beijing-Arizona Sky Survey (BASS). BASS is an imaging survey covering a 5400 deg2 footprint in the g and r bands using the 2.3 m Bok telescope. DR2 includes the observations through 2017 July obtained by BASS and by the Mayall z-band Legacy Survey (MzLS), which used the 4 m Mayall telescope to observe the same footprint. BASS and MzLS have completed 72% and 76% of their observations. The two surveys will be served for the spectroscopic targeting of the upcoming Dark Energy Spectroscopic Instrument. Both BASS and MzLS data are reduced by the same pipeline. We have updated the basic data reduction and photometric calibrations in DR2. In particular, source detections are performed on stacked images, and photometric measurements are co-added from single-epoch images based on these sources. The median 5σ point-source depths after Galactic extinction corrections are 24.05, 23.61, and 23.10 mag for the g, r, and z bands, respectively. The DR2 data products include stacked images, co-added catalogs, and single-epoch images and catalogs. The BASS website (http://batc.bao.ac.cn/BASS/) provides detailed information and links to download the data.
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- 2018
20. Depth-dependent detritus production in the sponge, Halisarca caerulea
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Lesser, Michael P., Mueller, Benjamin, Pankey, M. Sabrina, Macartney, Keir J., Slattery, Marc, and de Goeij, Jasper M.
- Published
- 2020
21. Trophic Ecology of the Tropical Pacific Sponge Mycale grandis Inferred from Amino Acid Compound-Specific Isotopic Analyses
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Shih, Joy L., Selph, Karen E., Wall, Christopher B., Wallsgrove, Natalie J., Lesser, Michael P., and Popp, Brian N.
- Published
- 2020
22. 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
- Subjects
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.
- Published
- 2016
23. 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.
- Published
- 2016
24. Comparative Genomics of Color Morphs In the Coral Montastraea cavernosa.
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Jarett, Jessica K, MacManes, Matthew D, Morrow, Kathleen M, Pankey, M Sabrina, and Lesser, Michael P
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Animals ,Anthozoa ,Dinoflagellida ,RNA ,Ribosomal ,16S ,Genomics ,Human Genome ,Genetics ,RNA ,Ribosomal ,16S ,Biochemistry and Cell Biology ,Other Physical Sciences - Abstract
Montastraea cavernosa is a common coral in the Caribbean basin found in several color morphs. To investigate the causes for brown and orange morphs we undertook a genomics approach on corals collected at the same time and depth in the Bahamas. The coral holobiont includes the host, symbiotic dinoflagellates (Symbiodinium spp.), and a diverse microbiome. While the coral host showed significant genetic differentiation between color morphs both the composition of the Symbiodinium spp. communities and the prokaryotic communities did not. Both targeted and global gene expression differences in the transcriptome of the host show no difference in fluorescent proteins while the metatranscriptome of the microbiome shows that pigments such as phycoerythrin and orange carotenoid protein of cyanobacterial origin are significantly greater in orange morphs, which is also consistent with the significantly greater number of cyanobacteria quantified by 16S rRNA reads and flow cytometry. The microbiome of orange color morphs expressed significantly more nitrogenase (nifH) transcripts consistent with their known ability to fix nitrogen. Both coral and Symbiodinium spp. transcriptomes from orange morphs had significantly increased expression of genes related to immune response and apoptosis, which may potentially be involved in maintaining and regulating the unique symbiont population in orange morphs.
- Published
- 2017
25. South Galactic Cap u-band Sky Survey (SCUSS): Data Release
- Author
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Zou, Hu, Zhou, Xu, Jiang, Zhaoji, Peng, Xiyan, Fan, Dongwei, Fan, Xiaohui, Fan, Zhou, He, Boliang, Jing, Yipeng, Lesser, Michael, Li, Cheng, Ma, Jun, Nie, Jundan, Shen, Shiyin, Wang, Jiali, Wu, Zhenyu, Zhang, Tianmeng, and Zhou, Zhimin
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
The SCUSS is a deep $u$-band imaging survey in the south Galactic cap using the 2.3m Bok telescope. The survey observations were completed in the end of 2013, covering an area of about 5000 square degrees. We release the data in the region with an area of about 4000 deg$^2$ that is mostly covered by the Sloan digital sky survey. The data products contain calibrated single-epoch images, stacked images, photometric catalogs, and a catalog of star proper motions derived by Peng et al, 2015. The median seeing and magnitude limit ($5\sigma$) are about 2".0 and 23.2 mag, respectively. There are about 8 million objects having measurements of absolute proper motions. All the data and related documentations can be accessed through the SCUSS data release website of \url{http://batc.bao.ac.cn/Uband/data.html}., Comment: 13 pages, 7 figures, accepted by AJ
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- 2015
- Full Text
- View/download PDF
26. Photometric Metallicity Calibration with SDSS and SCUSS and its Application to distant stars in the South Galactic Cap
- Author
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Gu, Jiayin, Du, Cuihua, Jia, Yunpeng, Peng, Xiyan, Wu, Zhenyu, Jing, Yingjie, Ma, Jun, Zhou, Xu, Fan, Xiaohui, Fan, Zhou, Jing, Yipeng, Jiang, Zhaoji, Lesser, Michael, Nie, Jundan, Shen, Shiyin, Wang, Jiali, Zou, Hu, Zhang, Tianmeng, and Zhou, Zhimin
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
Based on SDSS g, r and SCUSS (South Galactic Cap of u-band Sky Survey) $u$ photometry, we develop a photometric calibration for estimating the stellar metallicity from $u-g$ and $g-r$ colors by using the SDSS spectra of 32,542 F- and G-type main sequence stars, which cover almost $3700$ deg$^{2}$ in the south Galactic cap. The rms scatter of the photometric metallicity residuals relative to spectrum-based metallicity is $0.14$ dex when $g-r<0.4$, and $0.16$ dex when $g-r>0.4$. Due to the deeper and more accurate magnitude of SCUSS $u$ band, the estimate can be used up to the faint magnitude of $g=21$. This application range of photometric metallicity calibration is wide enough so that it can be used to study metallicity distribution of distant stars. In this study, we select the Sagittarius (Sgr) stream and its neighboring field halo stars in south Galactic cap to study their metallicity distribution. We find that the Sgr stream at the cylindrical Galactocentric coordinate of $R\sim 19$ kpc, $\left| z\right| \sim 14$ kpc exhibits a relative rich metallicity distribution, and the neighboring field halo stars in our studied fields can be modeled by two-Gaussian model, with peaks respectively at [Fe/H]$=-1.9$ and [Fe/H]$=-1.5$., Comment: 8 pages, 7 figures, Accepted for publication in MNRAS
- Published
- 2015
- Full Text
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27. An Investigation of the Absolute Proper Motions of the SCUSS Catalog
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Peng, Xiyan, Qi, Zhaoxiang, Wu, Zhenyu, Ma, Jun, Du, Cuihua, Zhou, Xu, Yu, Yong, Tang, Zhenghong, Jiang, Zhaoji, Zou, Hu, Fan, Zhou, Fan, Xiaohui, Smith, Martin C., Jiang, Linhua, Jing, Yipeng, Lattanzi, Mario G., Mclean, Brian J., Lesser, Michael, Nie, Jundan, Shen, Shiyin, Wang, Jiali, Zhang, Tianmeng, Zhou, Zhimin, and Wang, Songhu
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
Absolute proper motions for $\sim$ 7.7 million objects were derived based on data from the South Galactic Cap u-band Sky Survey (SCUSS) and astrometric data derived from uncompressed Digitized Sky Surveys that the Space Telescope Science Institute (STScI) created from the Palomar and UK Schmidt survey plates. We put a great deal of effort into correcting the position-, magnitude-, and color-dependent systematic errors in the derived absolute proper motions. The spectroscopically confirmed quasars were used to test the internal systematic and random error of the proper motions. The systematic errors of the overall proper motions in the SCUSS catalog are estimated as -0.08 and -0.06 mas/yr for {\mu}{\alpha} cos {\delta} and {\mu}{\delta}, respectively. The random errors of the proper motions in the SCUSS catalog are estimated independently as 4.2 and 4.4 mas/yr for {\mu}{\alpha} cos {\delta} and {\mu}{\delta}. There are no obvious position-, magnitude-, and color-dependent systematic errors of the SCUSS proper motions. The random error of the proper motions goes up with the magnitude from about 3 mas/yr at u < 18.0 mag to about 7 mas/yr at u = 22.0 mag. The proper motions of stars in SCUSS catalog are compared with those in the SDSS catalog, and they are highly consistent., Comment: 8 pages, 10 figures ,PASP accepted
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- 2015
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28. Capability of Quasar Selection by Combining the SCUSS and SDSS Observations
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Zou, Hu, Wu, Xue-bing, Zhou, Xu, Wang, Shu, Jiang, Linhua, Fan, Xiaohui, Fan, Zhou, Jiang, Zhaoji, Jing, Yipeng, Lesser, Michael, Li, Cheng, Ma, Jun, Nie, Jundan, Shen, Shiyin, Wang, Jiali, Wu, Zhenyu, Zhang, Tianmeng, and Zhou, Zhimin
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
The South Galactic Cap $u$-band Sky Survey (SCUSS) provides a deep $u$-band imaging of about 5000 deg$^2$ in south Galactic cap. It is about 1.5 mag deeper than the SDSS $u$-band. In this paper we evaluate the capability of quasar selection using both SCUSS and SDSS data, based on considerations of the deep SCUSS $u$-band imaging and two-epoch $u$-band variability. We find that the combination of the SCUSS $u$-band and the SDSS $griz$ band allows us to select more faint quasars and more quasars at redshift around 2.2 than the selection only with the SDSS $ugriz$ data. Quasars have significant $u$-band variabilities. The fraction of quasars with large two-epoch variability is much higher than that of stars. The selection by variability can select both low-redshift quasars with ultraviolet excess and mid-redshift ($2 < z <3.5$) quasars where quasar selection by optical colors is inefficient. The above two selections are complementary and make full use of the SCUSS u-band advantages., Comment: 10 pages, 8 figures, accepted by PASP
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- 2015
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29. The Bahamas and Cayman Islands
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Slattery, Marc, Lesser, Michael P., Riegl, Bernhard M., Series Editor, Dodge, Richard E., Series Editor, Loya, Yossi, editor, Puglise, Kimberly A., editor, and Bridge, Tom C.L., editor
- Published
- 2019
- Full Text
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30. Comparative genomics explains the evolutionary success of reef-forming corals.
- Author
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Bhattacharya, Debashish, Agrawal, Shobhit, Aranda, Manuel, Baumgarten, Sebastian, Belcaid, Mahdi, Drake, Jeana L, Erwin, Douglas, Foret, Sylvian, Gates, Ruth D, Gruber, David F, Kamel, Bishoy, Lesser, Michael P, Levy, Oren, Liew, Yi Jin, MacManes, Matthew, Mass, Tali, Medina, Monica, Mehr, Shaadi, Meyer, Eli, Price, Dana C, Putnam, Hollie M, Qiu, Huan, Shinzato, Chuya, Shoguchi, Eiichi, Stokes, Alexander J, Tambutté, Sylvie, Tchernov, Dan, Voolstra, Christian R, Wagner, Nicole, Walker, Charles W, Weber, Andreas Pm, Weis, Virginia, Zelzion, Ehud, Zoccola, Didier, and Falkowski, Paul G
- Subjects
Animals ,Anthozoa ,Calcium Carbonate ,Reactive Nitrogen Species ,Reactive Oxygen Species ,Genomics ,Temperature ,Adaptation ,Physiological ,Phylogeny ,Symbiosis ,Photosynthesis ,Gene Transfer ,Horizontal ,Calcification ,Physiologic ,Genome ,Hydrogen-Ion Concentration ,Light ,Metabolic Networks and Pathways ,Stress ,Physiological ,Biological Evolution ,Coral Reefs ,biomineralization ,corals ,ecology ,evolutionary biology ,genomics ,horizontal gene transfer ,stress response ,symbiosis ,Adaptation ,Physiological ,Gene Transfer ,Horizontal ,Calcification ,Physiologic ,Stress ,Biochemistry and Cell Biology - Abstract
Transcriptome and genome data from twenty stony coral species and a selection of reference bilaterians were studied to elucidate coral evolutionary history. We identified genes that encode the proteins responsible for the precipitation and aggregation of the aragonite skeleton on which the organisms live, and revealed a network of environmental sensors that coordinate responses of the host animals to temperature, light, and pH. Furthermore, we describe a variety of stress-related pathways, including apoptotic pathways that allow the host animals to detoxify reactive oxygen and nitrogen species that are generated by their intracellular photosynthetic symbionts, and determine the fate of corals under environmental stress. Some of these genes arose through horizontal gene transfer and comprise at least 0.2% of the animal gene inventory. Our analysis elucidates the evolutionary strategies that have allowed symbiotic corals to adapt and thrive for hundreds of millions of years.
- Published
- 2016
31. The 0.1<z<1.65 evolution of the bright end of the [OII] luminosity function
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Comparat, Johan, Richard, Johan, Kneib, Jean-Paul, Ilbert, Olivier, Gonzalez-Perez, V., Tresse, Laurence, Zoubian, Julien, Arnouts, Stephane, Bacon, Roland, Brownstein, Joel R., Baugh, Carlton, Delubac, Timothee, Ealet, Anne, Escoffier, Stephanie, Ge, Jian, Jullo, Eric, Lacey, Cedric, Ross, Nicholas P., Schlegel, David, Schneider, Donald P., Steele, Oliver, Tasca, Lidia, Yeche, Christophe, Lesser, Michael, Jiang, Zhaoji, Jing, Yipeng, Fan, Zhou, Fan, Xiaohui, Ma, Jun, Nie, Jundan, Wang, Jiali, Wu, Zhenyu, Zhang, Tianmeng, Zhou, Xu, Zhou, Zhimin, and Zou, Hu
- Subjects
Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the [OII] luminosity function measured in the redshift range 0.1
- Published
- 2014
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32. Estimation of Absolute Magnitude-dependent Galactic Model Parameters In Intermediate Latitude With SDSS and SCUSS
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Jia, Yunpeng, Du, Cuihua, Wu, Zhenyu, Peng, Xiyan, Ma, Jun, Zhou, Xu, Fan, Xiaohui, Fan, Zhou, Jing, Yipeng, Jiang, Zhaoji, Lesser, Michael, Nie, Jundan, Olszewski, Edward, Shen, Shiyin, Wang, Jiali, Zou, Hu, Zhang, Tianmeng, and Zhou, Zhimin
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
Based on SDSS and South Galactic Cap of u-band Sky Survey (SCUSS) early data, we use star counts method to estimate the Galactic structure parameters in an intermediate latitude with 10,180 main-sequence (MS) stars in absolute magnitude interval of $4 \leq M_r \leq 13$. We divide the absolute magnitude into five intervals:$4 \leq M_r < 5$, $5 \leq M_r < 6$, $6 \leq M_r < 8$, $8 \leq M_r < 10$, $10 \leq M_r \leq 13$, and estimate the Galactic structure parameters in each absolute magnitude interval to explore their possible variation with the absolute magnitude. Our study shows the parameters depend on absolute magnitude. For the thin disk, the intrinsic faint MS stars have large local space density and they tend to stay close to the Galactic plane. A plausible explanation is that faint MS stars with long lifetime experience long gravitational interaction time result in a short scaleheight. However, for the thick disk, the parameters show a complex trend with absolute magnitude, which may imply the complicated original of the thick disk. For the halo, the intrinsic faint MS stars have large local density and small axial ratio, which indicate a flattened inner halo and a more spherical outer halo., Comment: 10 pages, 5 figures, Accepted for publication in MNRAS
- Published
- 2014
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33. Trophodynamics of the sclerosponge Ceratoporella nicholsoni along a shallow to mesophotic depth gradient
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Macartney, Keir J., Pankey, M. Sabrina, Slattery, Marc, and Lesser, Michael P.
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- 2020
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34. Phylogenetic signature of light and thermal stress for the endosymbiotic dinoflagellates of corals (Family Symbiodiniaceae)
- Author
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Lesser, Michael P.
- Published
- 2019
35. EFFECTS OF THERMAL STRESS AND OCEAN ACIDIFICATION ON THE EXPRESSION OF THE RETROTRANSPOSON STEAMER IN THE SOFTSHELL MY A ARENARIA
- Author
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Lesser, Michael P., Thompson, Megan M., and Walker, Charles W.
- Subjects
Seawater ,Tumor proteins -- Genetic aspects -- Development and progression ,Ocean acidification ,Global temperature changes ,Leukemia -- Genetic aspects -- Development and progression ,Water acidification ,Carcinogenesis ,Climate ,Cancer ,Climate change ,pH ,Weather forecasting ,Genes ,Apoptosis ,Transposons ,Biological sciences ,Zoology and wildlife conservation - Abstract
The softshell Mya arenaria is an ecologically and commercially important bivalve mollusc that develops a fatal cancer known as disseminated neoplasia or hemocyte leukemia. This cancer, like many human cancers, involves the master control gene of apoptosis, p53. This gene is also known to interact with retrotransposons, and a growing body of evidence suggests that p53 actually controls retrotransposon expression and subsequently oncogenesis. The recent description of a retrotransposon (i.e.. Steamer) in adult M. arenaria and its potential involvement in the oncogenesis of hemocyte leukemia has been suggested. Juvenile clams, previously shown not to develop hemocyte leukemia, were exposed to climate-related changes in seawater temperature and pH predicted for the year 2100. All juvenile softshells do express the retrotransposon Steamer. When juvenile clams are exposed to predicted climate-related changes in temperature and pH in the Gulf of Maine, it significantly induces Steamer expression, specifically in treatments where clams were exposed to low pH. For juvenile individuals of M. arenaria and potentially other bivalves. Steamer may be a candidate biomarker for exposure to ocean acidification conditions. KEY WORDS: Steamer, climate change, ocean acidification, Mya arenaria, softshell, clam, cancer, apoptosis. retrotransposon, INTRODUCTION The softshell Mya arenaria (Linnaeus, 1758) is found worldwide in marine soft-bottom ecosystems where it is ecologically important in the coupling of water column productivity to benthic consumers and [...]
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- 2019
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36. N2 fixation, and the relative contribution of fixed N, in corals from Curaçao and Hawaii
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Lesser, Michael P., Morrow, Kathleen M., and Pankey, M. Sabrina
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- 2019
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37. Evaluating the causal basis of ecological success within the scleractinia: an integral projection model approach
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Edmunds, Peter J, Burgess, Scott C, Putnam, Hollie M, Baskett, Marissa L, Bramanti, Lorenzo, Fabina, Nick S, Han, Xueying, Lesser, Michael P, Madin, Joshua S, Wall, Christopher B, Yost, Denise M, and Gates, Ruth D
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Life Below Water ,Environmental Sciences ,Biological Sciences ,Agricultural and Veterinary Sciences ,Marine Biology & Hydrobiology - Abstract
Many tropical corals have declined in abundance in the last few decades, and evaluating the causal basis of these losses is critical to understanding how coral reefs will change in response to ongoing environmental challenges. Motivated by the likelihood that marine environments will become increasingly unfavorable for coral growth as they warm and become more acidic (i.e., ocean acidification), it is reasonable to evaluate whether specific phenotypic traits of the coral holobiont are associated with ecological success (or failure) under varying environmental conditions including those that are adverse to survival. Initially, we asked whether it was possible to identify corals that are resistant or sensitive to such conditions by compiling quantitative measures of their phenotypic traits determined through empirical studies, but we found only weak phenotypic discrimination between ecological winners and losers, or among taxa. To reconcile this outcome with ecological evidence demonstrating that coral taxa are functionally unequal, we looked beyond the notion that phenotypic homogeneity arose through limitations of empirical data. Instead, we examined the validity of contemporary means of categorizing corals based on ecological success. As an alternative means to distinguish among functional groups of corals, we present a demographic approach using integral projection models (IPMs) that link organismal performance to demographic outcomes, such as the rates of population growth and responses to environmental stress. We describe how IPMs can be applied to corals so that future research can evaluate within a quantitative framework the extent to which changes in physiological performance influence the demographic underpinnings of ecological performance.
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- 2014
38. The SDSS-V Local Volume Mapper Instrument
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Bryant, Julia J., Motohara, Kentaro, Vernet, Joël R. D., Konidaris, Nicholas P., Herbst, Thomas, Froning, Cynthia, Wachter, Stefanie, Ramírez, Solange, Kollmeier, Juna, Rix, Hans-Walter, Drory, Niv, Blanc, Guillermo, Sánchez-Gallego, Jose, Godoy Alfaro, Carlos, Ahn, Hojae, Aslan, Leon, Besser, Felipe, Bilgi, Pavan, Bizenberger, Peter, Bizyaev, Dmitry, Brady, Julia, Brown, Rebecca, Briegel, Florian, Flores Cabrales, Mauricio, Case, Scott, Donor, John, Feger, Tobias, Gaessler, Wolfgang, Häberle, Maximilian, Houston, Ellen, Hull, Charlie, Jones, Amy, Kim, Changgon, Kowal, Vince, Kripak, Yevgen, Kreckel, Kathryn, Kuhlberg, Markus, Lanz, Alicia, Lesser, Michael, Mathar, Richard, Mohr, Lars, Morales, Francisco, Pak, Soojong, Palunas, Povilas, Pogge, Richard, Ritz, Christopher, Robertson, David, Rodriguez, Marcelo, Rohloff, Ralf-Rainer, Uomoto, Alan, Yeong, Ming, Zapata, Abner, and Zhelem, Ross
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- 2024
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39. Biodiversity and Functional Ecology of Mesophotic Coral Reefs
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Lesser, Michael P., Slattery, Marc, and Mobley, Curtis D.
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- 2018
40. Gametogenesis in regular sea urchins: Structural, functional, and molecular/genomic biology
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Walker, Charles W., primary, Lesser, Michael P., additional, and Unuma, Tatsuya, additional
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- 2020
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41. Nutrient Fluxes and Ecological Functions of Coral Reef Sponges in a Changing Ocean
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de Goeij, Jasper M., Lesser, Michael P., Pawlik, Joseph R., Carballo, José Luis, editor, and Bell, James J., editor
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- 2017
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42. Stereological Analysis of Nutritive Phagocytes and Gametogenic Cells during the Annual Reproductive Cycle of the Green Sea Urchin, Strongylocentrotus droebachiensis
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Walker, Charles W. and Lesser, Michael P.
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- 2007
43. Nutritive Phagocyte Incubation Chambers Provide a Structural and Nutritive Microenvironment for Germ Cells of Strongylocentrotus droebachiensis, the Green Sea Urchin
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Walker, Charles W., Harrington, Laura M., Lesser, Michael P., and Fagerberg, Wayne R.
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- 2005
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44. Transmission of Ultraviolet Radiation through the Antarctic Annual Sea Ice and Its Biological Effects on Sea Urchin Embryos
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Lesser, Michael P., Lamare, Miles D., and Barker, Michael F.
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- 2004
45. Discovery of Symbiotic Nitrogen-Fixing Cyanobacteria in Corals
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Lesser, Michael P., Mazel, Charles H., Gorbunov, Maxim Y., and Falkowski, Paul G.
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- 2004
46. High-Resolution Determination of Coral Reef Bottom Cover from Multispectral Fluorescence Laser Line Scan Imagery
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Mazel, Charles H., Strand, Michael P., Lesser, Michael P., Crosby, Michael P., Coles, Bryan, and Nevis, Andrew J.
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- 2003
47. Green-Fluorescent Proteins in Caribbean Corals
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Mazel, Charles H., Lesser, Michael P., Gorbunov, Maxim Y., Barry, Thomas M., Farrell, Julianne H., Wyman, Kevin D., and Falkowski, Paul G.
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- 2003
48. Photosynthesis and Photoprotection in Symbiotic Corals
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Gorbunov, Maxim Y., Kolber, Zbigniew S., Lesser, Michael P., and Falkowski, Paul G.
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- 2001
49. Size Effects on Pumping Rates in High Microbial versus Low Microbial Abundance Marine Sponges.
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Lesser, Michael P.
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SPONGES (Invertebrates) , *CORAL reefs & islands , *CORAL declines , *SCLERACTINIA , *CORALS - Abstract
Sponges are increasingly recognized as ecologically important on coral reefs as scleractinian corals decline. Most sponge species can be divided into two symbiotic phenotypes which are characterized as high microbial abundance (HMA) or low microbial abundance (LMA) sponges. Sponge species of HMA or LMA symbiotic phenotypes differ not just in their microbiomes, but in other characteristics, including that LMA sponges actively pump at higher rates than HMA sponges based on a standard normalization to size. This dichotomy has recently been questioned because the size range of LMA sponges used to quantify pumping rates during studies on their trophic ecology were exceedingly small, often less than an order of magnitude. Here, both HMA and LMA sponges, across two to three orders of magnitude in sponge volume (mL) or mass (g) were assessed for allometric relationships between sponge size and pumping rates (Q = mL s−1). The scaling analysis of all data sets combined reveals that HMA sponges scale their pumping rates isometrically with size, while LMA sponges scale their pumping rate allometrically. When HMA species are examined separately, however, tropical HMA sponges scaled isometrically, while temperate HMA sponges scaled allometrically. From an ecological perspective, to quantify differences between HMA and LMA sponges for rate functions of interest (e.g., feeding) it is important to remove the effects of size as a covariate, and adjust the Q values of sponges to a standard volume or mass. For multiple species and geographic locations, this analysis shows that LMA sponges always maintain higher Q values. On tropical coral reefs, the differences between HMA and LMA sponges are intrinsic and constrained by strong evolutionary selection resulting in fixed differences in Q, regardless of sponge size. [ABSTRACT FROM AUTHOR]
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- 2023
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50. Light Absorption and Utilization by Colonies of the Congeneric Hermatypic Corals Montastraea faveolata and Montastraea cavernosa
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Lesser, Michael P., Mazel, Charles, Phinney, David, and Yentsch, Charles S.
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- 2000
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