Dataset.
Target selection for the DESI Peculiar Velocity Survey [Dataset]
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359767
Digital.CSIC. Repositorio Institucional del CSIC
- Saulder, Christoph
- Prada, Francisco
Supplementary material to DESI's publication "Target Selection for the DESI Peculiar Velocity Survey" to comply with the data management plan. Contains data for:
Figure 1: color-color diagram, comparing truth catalogues to data from the survey. Data contains all observational colors to construct the heatmap and the colors of the two truth catalogues shown in the left and right panel respectively.
Figure 2: Sersic index for different morphological types. Data contains relative number counts to reproduce the histogram.
Figure 3 consists of images, hence not included here.
Figure 4: quality metrics for ETG classification. Data includes the various metrics as a function of elliptical probability.
Figure 5: Success rate for different magnitudes. Data contains all the plotted data points as a function of magnitude.
Figure 6: pPXF example for ETG: Data contains the plotted spectrum and model.
Figure 7: quality metrics for LTG classification. Data includes the various metrics as a function of spiral probability.
Figure 8: example for TF measurements: Data contains the two spectra shown in the figure.
Figure 9: example of rotation curves from MaNGA: Data contains the individual measurements, fit, and shown example.
Figures 10 + 11: comparison between the observed rotational velocities and calculated one. Data contains DESI and MaNGA measurements as well as expected values from the fit.
Figure 12: Sky distribution of PV surveys. Data contains the coordinates of the targets of all the surveys shown.
Figure 13: Redshift distribution of different PV surveys and our targets. Data contains the number counts to reproduce the histogram.
Figure 14: Forecast for f-sigma8 constraints. Data contains the predictions from different theories and the forecast for DESI (PV and/or BGS).
Figure 15: Forecasts for measurements of the velocity power spectrum. Data contains the forecast for the DESI., Australian Laureate Fellowships - Grant ID: FL180100168 FL180100168 Australian Research Council, Peer reviewed
DOI: http://hdl.handle.net/10261/359767
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359767
HANDLE: http://hdl.handle.net/10261/359767
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359767
Ver en: http://hdl.handle.net/10261/359767
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359767
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1 Documentos relacionados
1 Documentos relacionados
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355012
Artículo científico (article). 2024
TARGET SELECTION FOR THE DESI PECULIAR VELOCITY SURVEY
Digital.CSIC. Repositorio Institucional del CSIC
- Saulder, Christoph
- Prada, Francisco
Full list of authors: Saulder, Christoph; Howlett, Cullan; Douglass, Kelly A.; Said, Khaled; BenZvi, Segev; Ahlen, Steven; Aldering, Greg; Bailey, Stephen; Brooks, David; Davis, Tamara M.; de la Macorra, Axel; Dey, Arjun; Font-Ribera, Andreu; Forero-Romero, Jaime E.; Gontcho A. Gontcho, Satya; Honscheid, Klaus; Kim, Alex G.; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Levi, Michael E.; Lucey, John; Meisner, Aaron M.; Miquel, Ramon; Moustakas, John; Myers, Adam D.; Palanque-Delabrouille, Nathalie; Percival, Will; Poppett, Claire; Prada, Francisco; Qin, Fei; Schubnell, Michael; Tarlé, Gregory; Vargas Magaña, Mariana; Weaver, Benjamin Alan; Zhou, Rongpu; Zhou, Zhimin; Zou, Hu, We describe the target selection and characteristics of the DESI Peculiar Velocity Survey, the largest survey of peculiar velocities (PVs) using both the fundamental plane (FP) and the Tully-Fisher (TF) relationship planned to date. We detail how we identify suitable early-type galaxies (ETGs) for the FP and suitable late-type galaxies (LTGs) for the TF relation using the photometric data provided by the DESI Legacy Imaging Survey DR9. Subsequently, we provide targets for 373 533 ETGs and 118 637 LTGs within the Dark Energy Spectroscopic Instrument (DESI) 5-yr footprint. We validate these photometric selections using existing morphological classifications. Furthermore, we demonstrate using survey validation data that DESI is able to measure the spectroscopic properties to sufficient precision to obtain PVs for our targets. Based on realistic DESI fibre assignment simulations and spectroscopic success rates, we predict the final DESI PV Survey will obtain ∼133 000 FP-based and ∼53 000 TF-based PV measurements over an area of 14 000 deg. We forecast the ability of using these data to measure the clustering of galaxy positions and PVs from the combined DESI PV and Bright Galaxy Surveys (BGS), which allows for cancellation of cosmic variance at low redshifts. With these forecasts, we anticipate a 4 per cent statistical measurement on the growth rate of structure at z < 0.15. This is over two times better than achievable with redshifts from the BGS alone. The combined DESI PV and BGS will enable the most precise tests to date of the time and scale dependence of large-scale structure growth at z < 0.15. © 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society., CS acknowledges support from the National Research Foundation of Korea (NRF) through grant No. 2021R1A2C101302413 funded by the Korean Ministry of Education, Science and Technology (MoEST). CH and KS are supported by the Australian Government through the Australian Research Council's Laureate Fellowship funding scheme (project FL180100168). This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to the NSF's National Optical-Infrared Astronomy Research Laboratory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico (CONACYT); the Ministry of Science and Innovation of Spain (MICINN), and by the DESI Member Institutions: https://www.desi.lbl.gov/collaborating-institutions. The DESI Legacy Imaging Surveys consist of three individual and complementary projects: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-band Legacy Survey (MzLS). DECaLS, BASS and MzLS together include data obtained, respectively, at the Blanco telescope, Cerro Tololo Inter-American Observatory, NSF's NOIRLab; the Bok telescope, Steward Observatory, University of Arizona; and the Mayall telescope, Kitt Peak National Observatory, NOIRLab. NOIRLab is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. Pipeline processing and analyses of the data were supported by NOIRLab and the Lawrence Berkeley National Laboratory. Legacy Surveys also uses data products from the Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE), a project of the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. Legacy Surveys was supported by: the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy; the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility; the U.S. National Science Foundation, Division of Astronomical Sciences; the National Astronomical Observatories of China, the Chinese Academy of Sciences and the Chinese National Natural Science Foundation. LBNL is managed by the Regents of the University of California under contract to the U.S. Department of Energy. The complete acknowledgements can be found at https://www.legacysurvey.org/. The Photometric Redshifts for the Legacy Surveys (PRLS) catalogue used in this paper was produced thanks to funding from the U.S. Department of Energy Office of Science, Office of High Energy Physics via grant DE-SC0007914. The authors are honoured to be permitted to conduct scientific research on Iolkam Du'ag (Kitt Peak), a mountain with particular significance to the Tohono O'odham Nation. Software: we extensively used the following python packages: astropy (Astropy Collaboration 2013; Price-Whelan et~al. 2018), numpy (Harris et~al. 2020), and matplotlib (Barrett et~al. 2005).
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1 Versiones
1 Versiones
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359767
Dataset. 2023
TARGET SELECTION FOR THE DESI PECULIAR VELOCITY SURVEY [DATASET]
Digital.CSIC. Repositorio Institucional del CSIC
- Saulder, Christoph
- Prada, Francisco
Supplementary material to DESI's publication "Target Selection for the DESI Peculiar Velocity Survey" to comply with the data management plan. Contains data for:
Figure 1: color-color diagram, comparing truth catalogues to data from the survey. Data contains all observational colors to construct the heatmap and the colors of the two truth catalogues shown in the left and right panel respectively.
Figure 2: Sersic index for different morphological types. Data contains relative number counts to reproduce the histogram.
Figure 3 consists of images, hence not included here.
Figure 4: quality metrics for ETG classification. Data includes the various metrics as a function of elliptical probability.
Figure 5: Success rate for different magnitudes. Data contains all the plotted data points as a function of magnitude.
Figure 6: pPXF example for ETG: Data contains the plotted spectrum and model.
Figure 7: quality metrics for LTG classification. Data includes the various metrics as a function of spiral probability.
Figure 8: example for TF measurements: Data contains the two spectra shown in the figure.
Figure 9: example of rotation curves from MaNGA: Data contains the individual measurements, fit, and shown example.
Figures 10 + 11: comparison between the observed rotational velocities and calculated one. Data contains DESI and MaNGA measurements as well as expected values from the fit.
Figure 12: Sky distribution of PV surveys. Data contains the coordinates of the targets of all the surveys shown.
Figure 13: Redshift distribution of different PV surveys and our targets. Data contains the number counts to reproduce the histogram.
Figure 14: Forecast for f-sigma8 constraints. Data contains the predictions from different theories and the forecast for DESI (PV and/or BGS).
Figure 15: Forecasts for measurements of the velocity power spectrum. Data contains the forecast for the DESI., Australian Laureate Fellowships - Grant ID: FL180100168 FL180100168 Australian Research Council, Peer reviewed
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