Search Results - "Bruderer, C"

Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning by Tarsitano, F, Bruderer, C, Schawinski, K, Hartley, W G

“…ABSTRACT In this work, we explore the possibility of applying machine learning methods designed for 1D problems to the task of galaxy image classification. The…”
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MODELING THE TRANSFER FUNCTION FOR THE DARK ENERGY SURVEY by Chang, C, Busha, M T, Wechsler, R H, Refregier, A, Amara, A, Rykoff, E, Becker, M R, Bruderer, C, Gamper, L, Leistedt, B

“…We present a forward-modeling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be…”
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Network modeling of dispersion: Transition from Taylor Dispersion in homogeneous networks to mechanical dispersion in very heterogeneous ones by Bruderer, Céline, Bernabé, Yves

“…The purpose of this work is to model dispersion at the macroscale as the result of mechanisms acting at the microscale. We simulated advection and molecular…”
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Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning by Tarsitano, F., Bruderer, C., Schawinski, K., Hartley, W. G.

“…ABSTRACT In this work, we explore the possibility of applying machine learning methods designed for 1D problems to the task of galaxy image classification. The…”
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A catalogue of structural and morphological measurements for DES Y1 by Tarsitano, F, Hartley, W G, Amara, A, Bluck, A, Bruderer, C, Carollo, M, Conselice, C, Melchior, P, Moraes, B, Refregier, A, Sevilla-Noarbe, I, Woo, J, Abbott, T M C, Allam, S, Annis, J, Avila, S, Banerji, M, Bertin, E, Brooks, D, Burke, D L, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Cunha, C E, D’Andrea, C B, da Costa, L N, Davis, C, De Vicente, J, Desai, S, Doel, P, Estrada, J, Frieman, J, García-Bellido, J, Gruen, D, Gruendl, R A, Gutierrez, G, Hollowood, D, Honscheid, K, James, D J, Jeltema, T, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Maia, M A G, Menanteau, F, Miquel, R, Plazas, A A, Romer, A K, Roodman, A, Sanchez, E, Santiago, B, Schindler, R, Smith, M, Smith, R C, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, Vikram, V, Walker, A R

“…We present a structural and morphological catalogue for 45 million objects selected from the first year data of the Dark Energy Survey (DES). Single Sérsic…”
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The small mammal community of a coastal site of south-west Mauritania by Granjon, L., Bruderer, C., Cosson, J. F., Dia, A. T., Colas, F.

“…The small mammal community of a coastal site of south‐western Mauritania was monitored using live trapping, owl pellet analysis and nocturnal visual censuses…”
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Inference from the small scales of cosmic shear with current and future Dark Energy Survey data by MacCrann, N, Aleksic, J, Amara, A, Bridle, S L, Bruderer, C, Chang, C, Dodelson, S, Eifler, T F, Huff, E M, Huterer, D, Kacprzak, T, Refregier, A, Suchyta, E, Wechsler, R H, Zuntz, J, C Abbott, T M, Allam, S, Annis, J, Armstrong, R, Benoit-Levy, A, Brooks, D, Burke, D L, Rosell, A Carnero, Kind, M Carrasco, Carretero, J, Castander, F J, Crocce, M, Cunha, C E, da Costa, L N, Desai, S, Diehl, H T, Dietrich, J P, Doel, P, Evrard, A E, Flaugher, B, Fosalba, P, Gerdes, D W, Goldstein, D A, Gruen, D, Gruendl, R A, Gutierrez, G, Honscheid, K, James, D J, Jarvis, M, Krause, E, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, J L, Melchior, P, et. al

“…Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by…”
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Inference from the small scales of cosmic shear with current and future Dark Energy Survey data by MacCrann, N., Aleksi?, J., Amara, A., Bridle, S. L., Bruderer, C., Chang, C., Dodelson, S., Eifler, T. F., Huff, E. M., Huterer, D., Kacprzak, T., Refregier, A., Suchyta, E., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Allam, S., Annis, J., Armstrong, R., Benoit-L?vy, A., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jarvis, M., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Romer, A. K., Rykoff, E. S., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Sheldon, E., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V.

“…Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by…”
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X-ray tomography characterization of fracture surfaces during dissolution by Gouze, Philippe, Noiriel, Catherine, Bruderer, Céline, Loggia, Didier, Leprovost, Richard

“…The changes of fracture surfaces geometry and extend are studied using X‐ray tomography during aperture increase due to CO2‐rich fluid percolation. Dissolution…”
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Effect of the variance of pore size distribution on the transport properties of heterogeneous networks by Bernabé, Yves, Bruderer, Céline

“…The goal of this paper is to evaluate the effect of the variance of pore size distribution on the transport properties of rocks. Several heterogeneous network…”
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Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning by Tarsitano, F, Bruderer, C, Schawinski, K, Hartley, W. G

“…In this work we explore the possibility of applying machine learning methods designed for one-dimensional problems to the task of galaxy image classification…”
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Relating flow channelling to tracer dispersion in heterogeneous networks by Bruderer-Weng, Céline, Cowie, Patience, Bernabé, Yves, Main, Ian

“…Flow channelling is a well-documented phenomenon in heterogeneous porous media and is widely recognised to have a substantial effect on solute transport. The…”
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Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1 by Kacprzak, T, Herbel, J, Nicola, A, Sgier, R, Tarsitano, F, Bruderer, C, Amara, A, Refregier, A, Bridle, S. L, Drlica-Wagner, A, Gruen, D, Hartley, W. G, Hoyle, B, Secco, L. F, Zuntz, J, Annis, J, Avila, S, Bertin, E, Brooks, D, Buckley-Geer, E, Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J, da Costa, L. N, De Vicente, J, Desai, S, Diehl, H. T, Doel, P, García-Bellido, J, Gaztanaga, E, Gruendl, R. A, Gschwend, J, Gutierrez, G, Hollowood, D. L, Honscheid, K, James, D. J, Jarvis, M, Lima, M, Maia, M. A. G, Marshall, J. L, Melchior, P, Menanteau, F, Miquel, R, Paz-Chinchón, F, Plazas, A. A, Sanchez, E, Scarpine, V, Serrano, S, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, M. E. C, Tarle, G, Vikram, V, Weller, J

“…Phys. Rev. D 101, 082003 (2020) Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique…”
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A catalogue of structural and morphological measurements for DES Y1 by Tarsitano, F, Hartley, W. G, Amara, A, Bluck, A, Bruderer, C, Carollo, M, Conselice, C, Melchior, P, Moraes, B, Refregier, A, Sevilla-Noarbe, I, Woo, J, Abbott, T. M. C, Allam, S, Annis, J, Avila, S, Banerji, M, Bertin, E, Brooks, D, Burke, D. L, Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J, Cunha, C. E, D'Andrea, C. B, da Costa, L. N, Davis, C, De Vicente, J, Desai, S, Doel, P, Estrada, J, Frieman, J, García-Bellido, J, Gruen, D, Gruendl, R. A, Gutierrez, G, Hollowood, D, Honscheid, K, James, D. J, Jeltema, T, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Maia, M. A. G, Menanteau, F, Miquel, R, Plazas, A. A, Romer, A. K, Roodman, A, Sanchez, E, Santiago, B, Schindler, R, Smith, M, Smith, R. C, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, M. E. C, Tarle, G, Thomas, D, Vikram, V, Walker, A. R

“…We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single…”
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Cosmology from Cosmic Shear with DES Science Verification Data by The Dark Energy Survey Collaboration, Abbott, T, Abdalla, F. B, Allam, S, Amara, A, Annis, J, Armstrong, R, Banerji, M, Bauer, A. H, Baxter, E, Becker, M. R, Benoit-Lévy, A, Bernstein, R. A, Bernstein, G. M, Bertin, E, Blazek, J, Brooks, D, Buckley-Geer, E, Burke, D. L, Capozzi, D, Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J, Castander, F. J, Chang, C, Clampitt, J, Crocce, M, Cunha, C. E, D'Andrea, C. B, DePoy, D. L, Desai, S, Dietrich, J. P, Dodelson, S, Doel, P, Drlica-Wagner, A, Eifler, T. F, Erickson, B, Estrada, J, Evrard, A. E, Neto, A. Fausti, Fernandez, E, Finley, D. A, Flaugher, B, Fosalba, P, Gangkofner, C, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D. W, Gruen, D, Gruendl, R. A, Gutierrez, G, Hirsch, M, Honscheid, K, Huff, E. M, Jain, B, Jarvis, M, Kacprzak, T, Kirk, D, Krause, E, Kravtsov, A, Kwan, J, Lahav, O, Leistedt, B, Li, T. S, Lima, M, Lin, H, MacCrann, N, March, M, Martini, P, McMahon, R. G, Miller, C. J, Miquel, R, Mohr, J. J, Neilsen, E, Nichol, R. C, Ogando, R, Palmese, A, Peiris, H. V, Refregier, A, Roe, N, Romer, A. K, Roodman, A, Rowe, B, Rykoff, E. S, Sabiu, C, Sadeh, I, Sanchez, E, Seo, H, Sheldon, E, Smith, R. C, Soares-Santos, M, Sobreira, F, Suchyta, E, Tarle, G, Thaler, J, Thomas, D, Troxel, M. A, Vikram, V, Weller, J, Zhang, Y

“…Phys. Rev. D 94, 022001 (2016) We present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the…”
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Inference from the small scales of cosmic shear with current and future Dark Energy Survey data by MacCrann, N, Aleksić, J, Amara, A, Bridle, S. L, Bruderer, C, Chang, C, Dodelson, S, Eifler, T. F, Huff, E. M, Huterer, D, Kacprzak, T, Refregier, A, Suchyta, E, Wechsler, R. H, Zuntz, J, Abbott, T. M. C, Allam, S, Annis, J, Armstrong, R, Benoit-Lévy, A, Brooks, D, Burke, D. L, Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J, Castander, F. J, Crocce, M, Cunha, C. E, da Costa, L. N, Desai, S, Diehl, H. T, Dietrich, J. P, Doel, P, Evrard, A. E, Flaugher, B, Fosalba, P, Gerdes, D. W, Goldstein, D. A, Gruen, D, Gruendl, R. A, Gutierrez, G, Honscheid, K, James, D. J, Jarvis, M, Krause, E, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, J. L, Melchior, P, Menanteau, F, Miquel, R, Plazas, A. A, Romer, A. K, Rykoff, E. S, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Sheldon, E, Soares-Santos, M, Swanson, M. E. C, Tarle, G, Thomas, D, Vikram, V

“…Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by…”
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Modelling the Transfer Function for the Dark Energy Survey by Chang, C, Busha, M. T, Wechsler, R. H, Refregier, A, Amara, A, Rykof, E, Becker, M. R, Bruderer, C, Gamper, L, Leistedt, B, Peiris, H, Abbott, T, Abdalla, F. B, Balbinot, E, Banerji, M, Bernstein, R. A, Bertin, E, Brooks, D, Rosell, A. Carnero, Desai, S, da Costa, L. N, Cunha, C. E, Eifler, T, Evrard, A. E, Neto, A. Fausti, Gerdes, D, Gruen, D, James, D, Kuehn, K, Maia, M. A. G, Makler, M, Ogando, R, Plazas, A, Sanchez, E, Santiago, B, Schubnell, M, Sevilla-Noarbe, I, Smith, C, Soares-Santos, M, Suchyta, E, Swanson, M. E. C, Tarle, G, Zuntz, J

“…ApJ, 801, 73 (2015) We present a forward-modelling simulation framework designed to model the data products from the Dark Energy Survey (DES). This…”
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Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing by Bonnett, C, Troxel, M. A, Hartley, W, Amara, A, Leistedt, B, Becker, M. R, Bernstein, G. M, Bridle, S, Bruderer, C, Kind, M. Carrasco, Childress, M. J, Castander, F. J, Chang, C, Davis, T. M, Eifler, T. F, Frieman, J, Gaztanaga, E, Glazebrook, K, Gruen, D, Kacprzak, T, King, A, Kwan, J, Lahav, O, Lewis, G, Lidman, C, Lin, H, MacCrann, N, Miquel, R, O'Neill, C. R, Palmese, A, Refregier, A, Rozo, E, Rykoff, E. S, Sadeh, I, Sánchez, C, Sheldon, E, Uddin, S, Wechsler, R. H, Zuntz, J, Abbott, T, Abdalla, F. B, Allam, S, Armstrong, R, Banerji, M, Benoit-Lévy, A, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, D. L, Capozzi, D, Rosell, A. Carnero, Carretero, J, Cunha, C. E, D'Andrea, C. B, da Costa, L. N, DePoy, D. L, Desai, S, Diehl, H. T, Dietrich, J. P, Doel, P, Neto, A. Fausti, Fernandez, E, Flaugher, B, Fosalba, P, Gerdes, D. W, Gruendl, R. A, Honscheid, K, Jain, B, James, D. J, Jarvis, M, Kim, A. G, Kuehn, K, Kuropatkin, N, Li, T. S, Lima, M, Maia, M. A. G, March, M, Marshall, J. L, Martini, P, Melchior, P, Miller, C. J, Neilsen, E, Nichol, R. C, Nord, B, Ogando, R, Plazas, A. A, Reil, K, Romer, A. K, Roodman, A, Sako, M, Sanchez, E, Santiago, B, Smith, R. C, Soares-Santos, M, Sobreira, F, Swanson, M. E. C, Tarle, G, Thomas, D, Vikram, V, Walker, A. R

“…Phys. Rev. D 94, 042005 (2016) We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science…”
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Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data by Leistedt, B, Peiris, H. V, Elsner, F, Benoit-Lévy, A, Amara, A, Bauer, A. H, Becker, M. R, Bonnett, C, Bruderer, C, Busha, M. T, Kind, M. Carrasco, Chang, C, Crocce, M, da Costa, L. N, Gaztanaga, E, Huff, E. M, Lahav, O, Palmese, A, Percival, W. J, Refregier, A, Ross, A. J, Rozo, E, Rykoff, E. S, Sánchez, C, Sadeh, I, Sevilla-Noarbe, I, Sobreira, F, Suchyta, E, Swanson, M. E. C, Wechsler, R. H, Abdalla, F. B, Allam, S, Banerji, M, Bernstein, G. M, Bernstein, R. A, Bertin, E, Bridle, S. L, Brooks, D, Buckley-Geer, E, Burke, D. L, Capozzi, D, Rosell, A. Carnero, Carretero, J, Cunha, C. E, D'Andrea, C. B, DePoy, D. L, Desai, S, Diehl, H. T, Doel, P, Eifler, T. F, Evrard, A. E, Neto, A. Fausti, Flaugher, B, Fosalba, P, Frieman, J, Gerdes, D. W, Gruen, D, Gruendl, R. A, Gutierrez, G, Honscheid, K, James, D. J, Jarvis, M, Kent, S, Kuehn, K, Kuropatkin, N, Li, T. S, Lima, M, Maia, M. A. G, March, M, Marshall, J. L, Martini, P, Melchior, P, Miller, C. J, Miquel, R, Nichol, R. C, Nord, B, Ogando, R, Plazas, A. A, Reil, K, Romer, A. K, Roodman, A, Sanchez, E, Santiago, B, Scarpine, V, Schubnell, M, Smith, R. C, Soares-Santos, M, Tarle, G, Thaler, J, Thomas, D, Vikram, V, Walker, A. R, Wester, W, Zhang, Y, Zuntz, J

“…Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties…”
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Permeability fluctuations in heterogeneous networks with different dimensionality and topology by Bernabé, Yves, Bruderer-Weng, Céline, Maineult, Alexis

“…The purpose of this work was to relate the spatial fluctuations and scaling properties of the transport properties of porous rocks to their underlying pore…”
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