publication . Article . Preprint . 2018

DES Science Portal: II- Creating Science-Ready Catalogs

Rafe Schindler; Eric Suchyta; K. Honscheid; E. Buckley-Geer; Felipe Menanteau; Felipe Menanteau; R. L. C. Ogando; Diego Capozzi; S. E. Kuhlmann; J. Gschwend; ...
View all 64 authors
Open Access
  • Published: 01 Jul 2018
Abstract
Comment: The second paper of the series about the DES Science Portal, submitted to the Astronomy & Computing journal. It shows the infrastructure to create science-ready catalogs from DES photometric data and ancillary maps. This is the version accepted by the journal
Persistent Identifiers

doi: 10.1016/j.ascom.2018.01.002

Subjects
free text keywords: Astronomical databases, Catalogs, Surveys—methods, Data analysis, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], RCUK, STFC, Astronomy and Astrophysics, Computer Science Applications, Astrophysics - Instrumentation and Methods for Astrophysics, Large Synoptic Survey Telescope, Data science, Computer science, Data management, business.industry, business, Data products, Relational database, Software, Astronomical survey
Related Organizations
View more
Funded by
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
, NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
Collaborative Research: The Dark Energy Survey Data Management Operations
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
, EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
, EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
Download fromView all 14 versions
Hal-Diderot
Article . 2018
Provider: Hal-Diderot
HAL-Inserm
Article . 2018
Provider: HAL-Inserm
Astronomy and Computing
Article
Provider: UnpayWall
Mémoires en Sciences de l'Information et de la Communication
Article . 2018
Provider: Mémoires en Sciences de l'Information et de la Communication
View more
51 references, page 1 of 4

Arnouts, S., Moscardini, L., Vanzella, E., et al., 2002. Measuring the redshift evolution of clustering: the Hubble Deep Field South. MNRAS 329, 355-366. doi:10.1046/j.1365-8711.2002.04988.x, arXiv:astro-ph/0109453.

Arnouts, S., Vandame, B., Benoist, C., et al., 2001. ESO imaging survey. Deep public survey: Multi-color optical data for the Chandra Deep Field South. A&A 379, 740-754. doi:10.1051/0004-6361:20011341, arXiv:astro-ph/0103071. [OpenAIRE]

Bernyk, M., Croton, D.J., Tonini, C., Hodkinson, L., Hassan, A.H., Garel, T., Duffy, A.R., Mutch, S.J., Poole, G.B., Hegarty, S., 2016. The Theoretical Astrophysical Observatory: Cloud-based Mock Galaxy Catalogs. ApJS 223, 9. doi:10.3847/0067-0049/223/1/9, arXiv:1403.5270.

Bertin, E., Arnouts, S., 1996. SExtractor: Software for source extraction. A&AS 117, 393-404. doi:10.1051/aas:1996164. [OpenAIRE]

Bruzual, G., Charlot, S., 2003. Stellar population synthesis at the resolution of 2003. MNRAS 344, 1000-1028. doi:10.1046/j.1365-8711.2003. 06897.x, arXiv:astro-ph/0309134.

Capak, P., Aussel, H., Ajiki, M., et al., 2007. The First Release COSMOS Optical and Near-IR Data and Catalog. ApJS 172, 99-116. doi:10.1086/519081, arXiv:0704.2430.

Carlstrom, J.E., Ade, P.A.R., Aird, K.A., et al., 2011. The 10 Meter South Pole Telescope. PASP 123, 568-581. doi:10.1086/659879, arXiv:0907.4445.

Carrasco Kind, M., Brunner, R., 2014. MLZ: Machine Learning for photo-Z. Astrophysics Source Code Library. arXiv:1403.003.

Carrasco Kind, M., Brunner, R.J., 2013. TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests. MNRAS 432, 1483-1501. doi:10.1093/mnras/stt574, arXiv:1303.7269.

Chang, C., Busha, M.T., Wechsler, R., et al., 2015. Modeling the Transfer Function for the Dark Energy Survey. ApJ 801, 73. doi:10.1088/0004-637X/ 801/2/73, arXiv:1411.0032. [OpenAIRE]

Comparat, J., Delubac, T., Jouvel, S., et al., 2016. SDSS-IV eBOSS emissionline galaxy pilot survey. A&A 592, A121. doi:10.1051/0004-6361/ 201527377, arXiv:1509.05045. [OpenAIRE]

de Jong, J.T.A., Kuijken, K., Applegate, D., et al., 2013. The Kilo-Degree Survey. The Messenger 154, 44-46.

De Vicente, J., Sánchez, E., Sevilla-Noarbe, I., 2016. DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting. MNRAS 459, 3078-3088. doi:10.1093/mnras/stw857, arXiv:1511.07623.

Desai, S., Armstrong, R., Mohr, J.J., et al., 2012. The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics, and Data Release. ApJ 757, 83. doi:10.1088/0004-637X/757/1/83, arXiv:1204.1210.

Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E.S., Gruendl, R.A., Yanny, B., Tucker, D.L., Hoyle, B., Carnero Rosell, A., Bernstein, G.M., Bechtol, K., Becker, M.R., Benoit-Levy, A., Bertin, E., Carrasco Kind, M., Davis, Smith, M., Smith, R.C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A.R., Wechsler, R.H., Zuntz, J., 2017. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. ArXiv e-prints arXiv:1708.01531.

51 references, page 1 of 4
Related research
Abstract
Comment: The second paper of the series about the DES Science Portal, submitted to the Astronomy & Computing journal. It shows the infrastructure to create science-ready catalogs from DES photometric data and ancillary maps. This is the version accepted by the journal
Persistent Identifiers

doi: 10.1016/j.ascom.2018.01.002

Subjects
free text keywords: Astronomical databases, Catalogs, Surveys—methods, Data analysis, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], RCUK, STFC, Astronomy and Astrophysics, Computer Science Applications, Astrophysics - Instrumentation and Methods for Astrophysics, Large Synoptic Survey Telescope, Data science, Computer science, Data management, business.industry, business, Data products, Relational database, Software, Astronomical survey
Related Organizations
View more
Funded by
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
, NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
Collaborative Research: The Dark Energy Survey Data Management Operations
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
, EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
, EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
Download fromView all 14 versions
Hal-Diderot
Article . 2018
Provider: Hal-Diderot
HAL-Inserm
Article . 2018
Provider: HAL-Inserm
Astronomy and Computing
Article
Provider: UnpayWall
Mémoires en Sciences de l'Information et de la Communication
Article . 2018
Provider: Mémoires en Sciences de l'Information et de la Communication
View more
51 references, page 1 of 4

Arnouts, S., Moscardini, L., Vanzella, E., et al., 2002. Measuring the redshift evolution of clustering: the Hubble Deep Field South. MNRAS 329, 355-366. doi:10.1046/j.1365-8711.2002.04988.x, arXiv:astro-ph/0109453.

Arnouts, S., Vandame, B., Benoist, C., et al., 2001. ESO imaging survey. Deep public survey: Multi-color optical data for the Chandra Deep Field South. A&A 379, 740-754. doi:10.1051/0004-6361:20011341, arXiv:astro-ph/0103071. [OpenAIRE]

Bernyk, M., Croton, D.J., Tonini, C., Hodkinson, L., Hassan, A.H., Garel, T., Duffy, A.R., Mutch, S.J., Poole, G.B., Hegarty, S., 2016. The Theoretical Astrophysical Observatory: Cloud-based Mock Galaxy Catalogs. ApJS 223, 9. doi:10.3847/0067-0049/223/1/9, arXiv:1403.5270.

Bertin, E., Arnouts, S., 1996. SExtractor: Software for source extraction. A&AS 117, 393-404. doi:10.1051/aas:1996164. [OpenAIRE]

Bruzual, G., Charlot, S., 2003. Stellar population synthesis at the resolution of 2003. MNRAS 344, 1000-1028. doi:10.1046/j.1365-8711.2003. 06897.x, arXiv:astro-ph/0309134.

Capak, P., Aussel, H., Ajiki, M., et al., 2007. The First Release COSMOS Optical and Near-IR Data and Catalog. ApJS 172, 99-116. doi:10.1086/519081, arXiv:0704.2430.

Carlstrom, J.E., Ade, P.A.R., Aird, K.A., et al., 2011. The 10 Meter South Pole Telescope. PASP 123, 568-581. doi:10.1086/659879, arXiv:0907.4445.

Carrasco Kind, M., Brunner, R., 2014. MLZ: Machine Learning for photo-Z. Astrophysics Source Code Library. arXiv:1403.003.

Carrasco Kind, M., Brunner, R.J., 2013. TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests. MNRAS 432, 1483-1501. doi:10.1093/mnras/stt574, arXiv:1303.7269.

Chang, C., Busha, M.T., Wechsler, R., et al., 2015. Modeling the Transfer Function for the Dark Energy Survey. ApJ 801, 73. doi:10.1088/0004-637X/ 801/2/73, arXiv:1411.0032. [OpenAIRE]

Comparat, J., Delubac, T., Jouvel, S., et al., 2016. SDSS-IV eBOSS emissionline galaxy pilot survey. A&A 592, A121. doi:10.1051/0004-6361/ 201527377, arXiv:1509.05045. [OpenAIRE]

de Jong, J.T.A., Kuijken, K., Applegate, D., et al., 2013. The Kilo-Degree Survey. The Messenger 154, 44-46.

De Vicente, J., Sánchez, E., Sevilla-Noarbe, I., 2016. DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting. MNRAS 459, 3078-3088. doi:10.1093/mnras/stw857, arXiv:1511.07623.

Desai, S., Armstrong, R., Mohr, J.J., et al., 2012. The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics, and Data Release. ApJ 757, 83. doi:10.1088/0004-637X/757/1/83, arXiv:1204.1210.

Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E.S., Gruendl, R.A., Yanny, B., Tucker, D.L., Hoyle, B., Carnero Rosell, A., Bernstein, G.M., Bechtol, K., Becker, M.R., Benoit-Levy, A., Bertin, E., Carrasco Kind, M., Davis, Smith, M., Smith, R.C., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Vikram, V., Walker, A.R., Wechsler, R.H., Zuntz, J., 2017. Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology. ArXiv e-prints arXiv:1708.01531.

51 references, page 1 of 4
Related research
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue