Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning

Autor: 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. The algorithms used for image classification typically rely on multiple costly steps, such

Externí odkaz: http://arxiv.org/abs/2105.01070

A catalogue of structural and morphological measurements for DES Y1

Autor: 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 Sersic fits and non-parametric measurements are produced for g, r and i filters. The parameters

Externí odkaz: http://arxiv.org/abs/1807.10767

Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing

Autor: Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., Bernstein, G. M., Bridle, S., Bruderer, C., Busha, M. T., Kind, M. Carrasco, Childress, M. J., Castander, F. J., Chang, C., Crocce, M., Davis, T. M., Eifler, T. F., Frieman, J., Gangkofner, C., 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., Peiris, H. V., 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., Bauer, A. H., 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., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Vikram, V., Walker, A. R.

Publikováno v: 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 Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods -- ANNZ2, BPZ calibrated against

Externí odkaz: http://arxiv.org/abs/1507.05909

Cosmology from Cosmic Shear with DES Science Verification Data

Autor: The Dark Energy Survey Collaboration, Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., Becker, M. R., Benoit-Lévy, A., Bernstein, R. A., Bernstein, G. M., Bertin, E., Blazek, J., Bonnett, C., Bridle, S. L., Brooks, D., Bruderer, C., Buckley-Geer, E., Burke, D. L., Busha, M. T., 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., da Costa, L. N., Das, R., DePoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Efstathiou, G., Eifler, T. F., Erickson, B., Estrada, J., Evrard, A. E., Neto, A. Fausti, Fernandez, E., Finley, D. A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., Gangkofner, C., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W., Hirsch, M., Honscheid, K., Huff, E. M., Jain, B., James, D. J., Jarvis, M., Kacprzak, T., Kent, S., Kirk, D., Krause, E., Kravtsov, A., Kuehn, K., Kuropatkin, N., Kwan, J., Lahav, O., Leistedt, B., Li, T. S., Lima, M., Lin, H., MacCrann, N., March, M., Marshall, J. L., Martini, P., McMahon, R. G., Melchior, P., Miller, C. J., Miquel, R., Mohr, J. J., Neilsen, E., Nichol, R. C., Nicola, A., Nord, B., Ogando, R., Palmese, A., Peiris, H. V., Plazas, A. A., Refregier, A., Roe, N., Romer, A. K., Roodman, A., Rowe, B., Rykoff, E. S., Sabiu, C., Sadeh, I., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Seo, H., Sevilla-Noarbe, I., Sheldon, E., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Troxel, M. A., Vikram, V., Walker, A. R., Wechsler, R. H., Weller, J., Zhang, Y., Zuntz, J.

Publikováno v: 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 preliminary Science Verification (SV) data. We use 139 square degrees of SV data, which is less than 3\% of the full DES survey

Externí odkaz: http://arxiv.org/abs/1507.05552

MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA

Autor: 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 the characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, particularly in deep multi-epoch surveys. We present

Externí odkaz: http://hdl.handle.net/10150/622062
http://arizona.openrepository.com/arizona/handle/10150/622062