Search Results - "Hoyle, Ben"

The SAGA Survey. I. Satellite Galaxy Populations around Eight Milky Way Analogs by Geha, Marla, Wechsler, Risa H., Mao, Yao-Yuan, Tollerud, Erik J., Weiner, Benjamin, Bernstein, Rebecca, Hoyle, Ben, Marchi, Sebastian, Marshall, Phil J., Muñoz, Ricardo, Lu, Yu

“…We present the survey strategy and early results of the "Satellites Around Galactic Analogs" (SAGA) Survey. The SAGA Survey's goal is to measure the…”
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Cross-correlation of galaxies and galaxy clusters in the Sloan Digital Sky Survey and the importance of non-Poissonian shot noise by Paech, Kerstin, Hamaus, Nico, Hoyle, Ben, Costanzi, Matteo, Giannantonio, Tommaso, Hagstotz, Steffen, Sauerwein, Georg, Weller, Jochen

“…Abstract We present measurements of angular cross power spectra between galaxies and optically-selected galaxy clusters in the final photometric sample of the…”
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The XMM Cluster Survey: optical analysis methodology and the first data release by Mehrtens, Nicola, Romer, A. Kathy, Hilton, Matt, Lloyd-Davies, E. J., Miller, Christopher J., Stanford, S. A., Hosmer, Mark, Hoyle, Ben, Collins, Chris A., Liddle, Andrew R., Viana, Pedro T. P., Nichol, Robert C., Stott, John P., Dubois, E. Naomi, Kay, Scott T., Sahlén, Martin, Young, Owain, Short, C. J., Christodoulou, L., Watson, William A., Davidson, Michael, Harrison, Craig D., Baruah, Leon, Smith, Mathew, Burke, Claire, Mayers, Julian A., Deadman, Paul-James, Rooney, Philip J., Edmondson, Edward M., West, Michael, Campbell, Heather C., Edge, Alastair C., Mann, Robert G., Sabirli, Kivanc, Wake, David, Benoist, Christophe, da Costa, Luiz, Maia, Marcio A. G., Ogando, Ricardo

“…The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims…”
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Early assembly of the most massive galaxies by Hilton, Matt, Collins, Chris A, Nichol, Robert C, Romer, A. Kathy, Stott, John P, Mann, Robert G, Kay, Scott T, Lloyd-Davies, Ed, Davidson, Michael, Liddle, Andrew, Hosmer, Mark, Mehrtens, Nicola, West, Michael J, Viana, Pedro T. P, Miller, Christopher J, Hoyle, Ben, Sahlén, Martin, Stanford, S. Adam

“…The current consensus is that galaxies begin as small density fluctuations in the early Universe and grow by in situ star formation and hierarchical merging…”
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The XMM Cluster Survey: the interplay between the brightest cluster galaxy and the intracluster medium via AGN feedback by Stott, John P., Hickox, Ryan C., Edge, Alastair C., Collins, Chris A., Hilton, Matt, Harrison, Craig D., Romer, A. Kathy, Rooney, Philip J., Kay, Scott T., Miller, Christopher J., Sahlén, Martin, Lloyd-Davies, Ed J., Mehrtens, Nicola, Hoyle, Ben, Liddle, Andrew R., Viana, Pedro T. P., McCarthy, Ian G., Schaye, Joop, Booth, C. M.

“…Using a sample of 123 X-ray clusters and groups drawn from the XMM Cluster Survey first data release, we investigate the interplay between the brightest…”
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Implications of multiple high-redshift galaxy clusters by Hoyle, Ben, Jimenez, Raul, Verde, Licia

“…To date, 14 high-redshift (z>1.0) galaxy clusters with mass measurements have been observed, spectroscopically confirmed, and are reported in the literature…”
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The XMM Cluster Survey: X-ray analysis methodology by Lloyd-Davies, E. J., Romer, A. Kathy, Mehrtens, Nicola, Hosmer, Mark, Davidson, Michael, Sabirli, Kivanc, Mann, Robert G., Hilton, Matt, Liddle, Andrew R., Viana, Pedro T. P., Campbell, Heather C., Collins, Chris A., Dubois, E. Naomi, Freeman, Peter, Harrison, Craig D., Hoyle, Ben, Kay, Scott T., Kuwertz, Emma, Miller, Christopher J., Nichol, Robert C., Sahlén, Martin, Stanford, S. A., Stott, John P.

“…The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims…”
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The many flavours of photometric redshifts by Salvato, Mara, Ilbert, Olivier, Hoyle, Ben

“…Since more than 70 years ago, the colours of galaxies derived from flux measurements at different wavelengths have been used to estimate their cosmological…”
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Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample by Hoyle, Ben, Rau, Markus Michael

“…ABSTRACT We present a new method to estimate redshift distributions and galaxy-dark matter bias parameters using correlation functions in a fully data driven…”
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Learning from the machine: interpreting machine learning algorithms for point- and extended-source classification by Morice-Atkinson, Xan, Hoyle, Ben, Bacon, David

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Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample by Hoyle, Ben, Rau, Markus Michael

“…We present a new method to estimate redshift distributions and galaxy-dark matter bias parameters using correlation functions in a fully data driven and…”
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How course portfolios can advance the scholarship and practice of management teaching by New, J. Randolph, Clawson, James G, Coughlan, Richard S, Hoyle, Joe Ben

“…The authors believe the development, peer review, and sharing of course portfolios can significantly improve the scholarship and teaching of management. To…”
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Accurate photometric redshift probability density estimation – method comparison and application by Rau, Markus Michael, Seitz, Stella, Brimioulle, Fabrice, Frank, Eibe, Friedrich, Oliver, Gruen, Daniel, Hoyle, Ben

“…We introduce an ordinal classification algorithm for photometric redshift estimation, which significantly improves the reconstruction of photometric redshift…”
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Anomaly detection for machine learning redshifts applied to SDSS galaxies by Hoyle, Ben, Rau, Markus Michael, Paech, Kerstin, Bonnett, Christopher, Seitz, Stella, Weller, Jochen

“…We present an analysis of anomaly detection for machine learning redshift estimation. Anomaly detection allows the removal of poor training examples, which can…”
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Correcting cosmological parameter biases for all redshift surveys induced by estimating and reweighting redshift distributions by Rau, Markus Michael, Hoyle, Ben, Paech, Kerstin, Seitz, Stella

“…Abstract Photometric redshift uncertainties are a major source of systematic error for ongoing and future photometric surveys. We study different sources of…”
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Data augmentation for machine learning redshifts applied to Sloan Digital Sky Survey galaxies by Hoyle, Ben, Rau, Markus Michael, Bonnett, Christopher, Seitz, Stella, Weller, Jochen

“…We present analyses of data augmentation for machine learning redshift estimation. Data augmentation makes a training sample more closely resemble a test…”
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Evaluation of proton and photon dose distributions recalculated on 2D and 3D Unet-generated pseudoCTs from T1-weighted MR head scans by Neppl, Sebastian, Landry, Guillaume, Kurz, Christopher, Hansen, David C, Hoyle, Ben, Stöcklein, Sophia, Seidensticker, Max, Weller, Jochen, Belka, Claus, Parodi, Katia, Kamp, Florian

“…The recent developments of magnetic resonance (MR) based adaptive strategies for photon and, potentially for proton therapy, require a fast and reliable…”
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Stacking for machine learning redshifts applied to SDSS galaxies by Zitlau, Roman, Hoyle, Ben, Paech, Kerstin, Weller, Jochen, Rau, Markus Michael, Seitz, Stella

“…We present an analysis of a general machine learning technique called ‘stacking’ for the estimation of photometric redshifts. Stacking techniques can feed the…”
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Galaxy Zoo: bars in disc galaxies by Masters, Karen L., Nichol, Robert C., Hoyle, Ben, Lintott, Chris, Bamford, Steven P., Edmondson, Edward M., Fortson, Lucy, Keel, William C., Schawinski, Kevin, Smith, Arfon M., Thomas, Daniel

“…We present first results from Galaxy Zoo 2, the second phase of the highly successful Galaxy Zoo project (http://www.galaxyzoo.org). Using a volume-limited…”
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Feature importance for machine learning redshifts applied to SDSS galaxies by Hoyle, Ben, Rau, Markus Michael, Zitlau, Roman, Seitz, Stella, Weller, Jochen

“…We present an analysis of importance feature selection applied to photometric redshift estimation using the machine learning architecture Decision Trees with…”
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