☆ 4.7 Article

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: growth rate of structure measurement from cosmic voids

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2022)

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MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 513, 期 1, 页码 186-203

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OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac828

关键词

dark energy; large-scale structure of the Universe

类别

Astronomy & Astrophysics

资金

  1. eBOSS ANR grant of the French National Research Agency [ANR-16-CE31-0021]
  2. OCEVU LABEX [ANR-11-LABX-0060]
  3. A*MIDEX project - Investissements d'Avenir french government program [ANR-11-IDEX-0001-02]
  4. European Research Council through the COSFORM Research Grant [670193]
  5. National Research Foundation of Korea (NRF) - Korean Ministry of Education, Science and Technology (MoEST) [2017R1E1A1A01077508, 2020R1A2C1005655]
  6. Alfred P. Sloan Foundation
  7. U.S. Department of Energy Office of Science
  8. centre for High-Performance Computing at the University of Utah
  9. U.S. Department of Energy Office of Science User Facility [DE-AC02-05CH11231]
  10. Brazilian Participation Group
  11. Carnegie Institution for Science
  12. Carnegie Mellon University
  13. Chilean Participation Group
  14. French Participation Group
  15. Harvard-Smithsonian centre for Astrophysics
  16. Instituto de Astrof'isica de Canarias
  17. Johns Hopkins University
  18. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  19. Korean Participation Group
  20. Lawrence Berkeley National Laboratory
  21. Leibniz Institut fur Astrophysik Potsdam (AIP)
  22. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  23. Max-Planck-Institut fur Astrophysik (MPA Garching)
  24. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  25. National Astronomical Observatories of China
  26. New Mexico State University
  27. New York University
  28. University of Notre Dame
  29. Observatario Nacional/MCTI
  30. Ohio State University
  31. Pennsylvania State University
  32. Shanghai Astronomical Observatory
  33. United Kingdom Participation Group
  34. Universidad Nacional Autonoma de Mexico
  35. University of Arizona
  36. University of Colorado Boulder
  37. University of Oxford
  38. University of Portsmouth
  39. University of Utah
  40. University of Virginia
  41. University of Washington
  42. University of Wisconsin
  43. Vanderbilt University
  44. Yale University
  45. Agence Nationale de la Recherche (ANR) [ANR-16-CE31-0021] Funding Source: Agence Nationale de la Recherche (ANR)

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In this study, we present a void clustering analysis in configuration-space using the completed SDSS-IV eBOSS DR16 samples. Our results reveal the redshift space distortions around voids and provide measurements of the distortion parameter and growth rate for different samples in the redshift range 0.6 < z < 2.2.
We present a void clustering analysis in configuration-space using the completed Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 samples. These samples consist of Luminous Red Galaxies (LRGs) combined with the high-redshift tail of the SiSS-III Baryon Oscillation Spectroscopic Survey (BOSS) DR12 CMASS galaxies (called as LRG+CMASS sample), Emission Line Galaxies (ELGs), and quasars (QSOs). We build void catalogues from the three eBOSS DR16 samples using a ZOBOV-based algorithm, providing 2814 voids, 1801 voids, and 4347 voids in the LRG+CMASS, ELG, and QSO samples, respectively, spanning the redshift range 0.6 < z < 2.2. We measure the redshift space distortions around voids using the anisotropic void-galaxy cross-correlation function and we extract the distortion parameter beta. We test the methodology on realistic simulations before applying it to the data, and we investigate all our systematic errors on these mocks. We find beta(LRG)(z = 0.74) = 0.415 +/- 0.087, beta(ELG)(z = 0.85) = 0.665 +/- 0.125 and beta(QSO)(z = 1.48) = 0.313 +/- 0.134, for the LRG+CMASS, ELG, and QSO sample, respectively. The quoted errors include systematic and statistical contributions. In order to convert our measurements in terms of the growth rate f sigma(8), we use consensus values of linear bias from the eBOSS DR16 companion papers, resulting in the following constraints:f sigma(8)(z = 0.74) = 0.50 +/- 0.11, f sigma(8)(z = 0.85) = 0.52 +/- 0.10, and f sigma(8)(z = 1.48) = 0.30 +/- 0.13. Our measurements are consistent with other measurements from eBOSS DR16 using conventional clustering techniques.

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Article Astronomy & Astrophysics

Euclid preparation XXIV. Calibration of the halo mass function in ?(ν)CDM cosmologies

T. Castro, A. Fumagalli, R. E. Angulo, S. Bocquet, S. Borgani, C. Carbone, J. Dakin, K. Dolag, C. Giocoli, P. Monaco, A. Ragagnin, A. Saro, E. Sefusatti, M. Costanzi, A. M. C. Le Brun, P. -S. Corasaniti, A. Amara, L. Amendola, M. Baldi, R. Bender, C. Bodendorf, E. Branchini, M. Brescia, S. Camera, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, A. Da Silva, H. Degaudenzi, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, S. Galeotta, B. Garilli, B. Gillis, A. Grazian, F. Grupp, S. V. H. Haugan, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnke, S. Kermiche, T. Kitching, M. Kunz, H. Kurki-Suonio, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, F. Marulli, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, E. Munari, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, G. Seidel, G. Sirri, L. Stanco, P. Tallada Crespi, A. N. Taylor, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, S. Andreon, S. Bardelli, E. Bozzo, C. Colodro-Conde, D. Di Ferdinando, M. Farina, J. Gracia-Carpio, V. Lindholm, C. Neissner, V. Scottez, M. Tenti, E. Zucca, C. Baccigalupi, A. Balaguera-Antolinez, M. Ballardini, F. Bernardeau, A. Biviano, A. Blanchard, A. S. Borlaff, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, A. Cooray, J. Coupon, H. M. Courtois, S. Davini, G. De Lucia, G. Desprez, H. Dole, J. A. Escartin, S. Escoffier, F. Finelli, K. Ganga, J. Garcia-Bellido, K. George, G. Gozaliasl, H. Hildebrandt, I. Hook, S. Ilic, V. Kansal, E. Keihanen, C. C. Kirkpatrick, A. Loureiro, J. Macias-Perez, M. Magliocchetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, S. Matthew, M. Maturi, R. B. Metcalf, G. Morgante, S. Nadathur, A. A. Nucita, L. Patrizii, A. Peel, V. Popa, C. Porciani, D. Potter, A. Pourtsidou, M. Pontinen, A. G. Sanchez, Z. Sakr, M. Schirmer, M. Sereno, A. Spurio Mancini, R. Teyssier, J. Valiviita, A. Veropalumbo, M. Viel

Summary: Euclid's photometric galaxy cluster survey has the potential to be a strong cosmological probe. A new calibration of the halo mass function for accurate recovery of cosmological parameters from Euclid cluster counts is presented. The calibration is based on N-body simulations and takes into account systematic errors arising from numerical effects. The results demonstrate a sub-percent accuracy in reproducing results from various cosmological models, except for the effect of the halo finder algorithm which could lead to biased cosmological inference.

ASTRONOMY & ASTROPHYSICS (2023)

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Article Astronomy & Astrophysics

Euclid preparation XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys

L. Gabarra, C. Mancini, L. Rodriguez Munoz, G. Rodighiero, C. Sirignano, M. Scodeggio, M. Talia, S. Dusini, W. Gillard, B. R. Granett, E. Maiorano, M. Moresco, L. Paganin, E. Palazzi, L. Pozzetti, A. Renzi, E. Rossetti, D. Vergani, V. Allevato, L. Bisigello, G. Castignani, B. De Caro, M. Fumana, K. Ganga, B. Garilli, M. Hirschmann, F. La Franca, C. Laigle, F. Passalacqua, M. Schirmer, L. Stanco, A. Troja, L. Y. A. Yung, G. Zamorani, J. Zoubian, S. Anselmi, F. Oppizzi, G. Verza, N. Aghanim, A. Amara, N. Auricchio, M. Baldi, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, A. Costille, F. Courbin, A. Da Silva, H. Degaudenzi, J. Dinis, F. Dubath, X. Dupac, A. Ealet, S. Farrens, S. Ferriol, M. Frailis, E. Franceschi, P. Franzetti, S. Galeotta, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, L. Guzzo, W. Holmes, A. Hornstrup, P. Hudelot, K. Jahnke, M. Kuemmel, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, R. Kohley, B. Kubik, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Maurogordato, S. Mei, M. Meneghetti, G. Meylan, L. Moscardini, E. Munari, R. C. Nichol, S. -M. Niemi, J. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, G. Polenta, M. Poncet, F. Raison, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, D. Sapone, P. Schneider, A. Secroun, G. Seidel, S. Serrano, G. Sirri, C. Surace, P. Tallada-Crespi, D. Tavagnacco, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, M. Trifoglio, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, S. Andreon, H. Aussel, S. Bardelli, M. Bolzonella, A. Boucaud, E. Bozzo, C. Colodro-Conde, D. Di Ferdinando, M. Farina, J. Gracia-Carpio, E. Keihanen, V. Lindholm, D. Maino, N. Mauri, Y. Mellier, C. Neissner, V. Scottez, M. Tenti, E. Zucca, Y. Akrami, C. Baccigalupi, M. Ballardini, F. Bernardeau, A. Biviano, A. S. Borlaff, E. Borsato, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, T. Castro, K. Chambers, A. R. Cooray, J. Coupon, H. M. Courtois, S. Davini, S. de la Torre, G. De Lucia, G. Desprez, H. Dole, J. A. Escartin, S. Escoffier, I. Ferrero, F. Finelli, S. Fotopoulou, J. Garcia-Bellido, K. George, F. Giacomini, G. Gozaliasl, H. Hildebrandt, I. Hook, O. Ilbert, A. Jimenez Munoz, J. J. E. Kajava, V. Kansal, C. C. Kirkpatrick, L. Legrand, A. Loureiro, J. Macias-Perez, M. Magliocchetti, G. Mainetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, C. J. A. P. Martins, S. Matthew, L. Maurin, R. B. Metcalf, G. Morgante, S. Nadathur, A. A. Nucita, L. Patrizii, V. Popa, C. Porciani, D. Potter, M. Poentinen, A. G. Sanchez, Z. Sakr, A. Schneider, E. Sefusatti, M. Sereno, A. Shulevski, A. Spurio Mancini, J. Stadel, J. Steinwagner, R. Teyssier, J. Valiviita, A. Veropalumbo, M. Viel, I. A. Zinchenko

Summary: This work focuses on the simulation campaign of the Euclid Near-Infrared Spectrometer and Photometer (NISP), investigating its spectroscopic capabilities in galaxy evolutionary studies. The spectra of 4992 star-forming galaxies were simulated and analyzed, with emphasis on continuum and emission line detection.

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Article Astronomy & Astrophysics

Euclid preparation XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration

K. Paterson, M. Schirmer, Y. Copin, J. -C. Cuillandre, W. Gillard, L. A. Gutierrez Soto, L. Guzzo, H. Hoekstra, T. Kitching, S. Paltani, W. J. Percival, M. Scodeggio, L. Stanghellini, P. N. Appleton, R. Laureijs, Y. Mellier, N. Aghanim, B. Altieri, A. Amara, N. Auricchio, M. Baldi, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, F. J. Castander, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, L. Corcione, F. Courbin, A. Da Silva, H. Degaudenzi, J. Dinis, M. Douspis, F. Dubath, X. Dupac, S. Ferriol, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Garilli, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, A. Hornstrup, P. Hudelot, K. Jahnke, M. Kuemmel, A. Kiessling, M. Kilbinger, R. Kohley, B. Kubik, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, E. Medinaceli, S. Mei, M. Meneghetti, G. Meylan, M. Moresco, L. Moscardini, R. Nakajima, S. -M. Niemi, J. W. Nightingale, T. Nutma, C. Padilla, F. Pasian, K. Pedersen, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, H. -W. Rix, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, J. Skottfelt, L. Stanco, P. Tallada-Crespi, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, S. Andreon, S. Bardelli, E. Bozzo, C. Colodro-Conde, D. Di Ferdinando, M. Farina, J. Gracia-Carpio, E. Keihaenen, V. Lindholm, D. Maino, N. Mauri, V. Scottez, M. Tenti, E. Zucca, Y. Akrami, C. Baccigalupi, M. Ballardini, A. Biviano, A. S. Borlaff, C. Burigana, R. Cabanac, A. Cappi, C. S. Carvalho, S. Casas, G. Castignani, T. Castro, K. C. Chambers, A. R. Cooray, J. Coupon, H. M. Courtois, S. Davini, G. De Lucia, G. Desprez, J. A. Escartin, S. Escoffier, I. Ferrero, L. Gabarra, J. Garcia-Bellido, K. George, F. Giacomini, G. Gozaliasl, H. Hildebrandt, I. Hook, J. J. E. Kajava, V. Kansal, C. C. Kirkpatrick, L. Legrand, A. Loureiro, M. Magliocchetti, G. Mainetti, R. Maoli, S. Marcin, M. Martinelli, N. Martinet, C. J. A. P. Martins, S. Matthew, L. Maurin, R. B. Metcalf, P. Monaco, G. Morgante, S. Nadathur, L. Patrizii, J. Pollack, C. Porciani, D. Potter, M. Poentinen, A. G. Sanchez, Z. Sakr, A. Schneider, E. Sefusatti, M. Sereno, A. Shulevski, J. Stadel, J. Steinwagner, C. Valieri, J. Valiviita, A. Veropalumbo, M. Viel, I. A. Zinchenko

Summary: The Euclid mission will survey the extragalactic sky and obtain spectroscopic redshifts for 30 million galaxies using the NISP instrument. To ensure wavelength calibration accuracy, the team used emission lines from compact planetary nebulae (PNe) to recalibrate the data. They obtained high-resolution spectra from ground-based instruments and created an atlas of heliocentric vacuum wavelengths for further analysis.

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Article Astronomy & Astrophysics

PINION: physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization

Damien Korber, Michele Bianco, Emma Tolley, Jean-Paul Kneib

Summary: With the advent of SKAO, the Epoch of Reionization can be observed directly by mapping the distribution of neutral hydrogen. We introduce PINION, a Physics-Informed neural Network that accurately and swiftly predicts the 4D hydrogen fraction evolution using pre-computed N-body simulation. PINION is trained on C-2-Ray simulation outputs and can accurately predict the reionization history between z=6 and 12.

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Article Astronomy & Astrophysics

Cosmological Fisher forecasts for next-generation spectroscopic surveys

William D. d'Assignies, Cheng Zhao, Jiaxi Yu, Jean-Paul Kneib

Summary: Next-generation spectroscopic surveys, such as MegaMapper, MUST, MSE, and WST, are expected to significantly increase the number of galaxy and quasar redshift measurements. Using a Fisher matrix analysis, we find that these surveys can achieve high precision for baryonic acoustic oscillation (BAO) and redshift-space distortion (RSD) parameters, as well as accurately measure non-Gaussianity (NG) and total neutrino mass (M-nu). By optimizing survey strategies, we show that observing large volumes is crucial for f(NL) and M-nu measurements. Increasing the number of fibers improves M-nu measurement but has little effect on f(NL).

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Article Astronomy & Astrophysics

SKA Science Data Challenge 2: analysis and results

P. Hartley, A. Bonaldi, R. Braun, J. N. H. S. Aditya, S. Aicardi, L. Alegre, A. Chakraborty, X. Chen, S. Choudhuri, A. O. Clarke, J. Coles, J. S. Collinson, D. Cornu, L. Darriba, M. Delli Veneri, J. Forbrich, B. Fraga, A. Galan, J. Garrido, F. Gubanov, H. Hakansson, M. J. Hardcastle, C. Heneka, D. Herranz, K. M. Hess, M. Jagannath, S. Jaiswal, R. J. Jurek, D. Korber, S. Kitaeff, D. Kleiner, B. Lao, X. Lu, A. Mazumder, J. Moldon, R. Mondal, S. Ni, M. Onnheim, M. Parra, N. Patra, A. Peel, P. Salome, S. Sanchez-Exposito, M. Sargent, B. Semelin, P. Serra, A. K. Shaw, A. X. Shen, A. Sjoberg, L. Smith, A. Soroka, V Stolyarov, E. Tolley, M. C. Toribio, J. M. van der Hulst, A. Vafaei Sadr, L. Verdes-Montenegro, T. Westmeier, K. Yu, L. Yu, L. Zhang, X. Zhang, Y. Zhang, A. Alberdi, M. Ashdown, C. R. Bom, M. Brueggen, J. Cannon, R. Chen, F. Combes, J. Conway, F. Courbin, J. Ding, G. Fourestey, J. Freundlich, L. Gao, C. Gheller, Q. Guo, E. Gustavsson, M. Jirstrand, M. G. Jones, G. Jozsa, P. Kamphuis, J-P Kneib, M. Lindqvist, B. Liu, Y. Liu, Y. Mao, A. Marchal, I Marquez, A. Meshcheryakov, M. Olberg, N. Oozeer, M. Pandey-Pommier, W. Pei, B. Peng, J. Sabater, A. Sorgho, J. L. Starck, C. Tasse, A. Wang, Y. Wang, H. Xi, X. Yang, H. Zhang, J. Zhang, M. Zhao, S. Zuo

Summary: The Square Kilometre Array Observatory (SKAO) will explore the radio sky to conduct transformational science, with large and complex data products that require advanced analysis techniques. SKAO is conducting Science Data Challenges to familiarize the scientific community with the data and drive the development of new analysis techniques. Challenge 2 saw over 100 participants develop new techniques, with the winning strategy combining predictions from two machine learning techniques to achieve a 20% improvement in overall performance.

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Article Astronomy & Astrophysics

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction

S. Radinovic, S. Nadathur, H-A. Winther, W. J. Percival, A. Woodfinden, E. Massara, E. Paillas, S. Contarini, N. Hamaus, A. Kovacs, A. Pisani, G. Verza, M. Aubert, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, Y. Copin, L. Corcione, F. Courbin, A. Da Silva, M. Douspis, F. Dubath, X. Dupac, S. Farrens, S. Ferriol, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, A. Hornstrup, K. Jahnke, M. Kuemmel, A. Kiessling, M. Kilbinger, T. Kitching, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovic, F. Marulli, R. Massey, S. Mei, M. Melchior, Y. Mellier, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, L. Moscardini, S-M. Niemi, J. W. Nightingale, T. Nutma, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. A. Popa, L. Pozzetti, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, C. Rosset, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, J-L. Starck, C. Surace, P. Tallada-Crespi, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, G. Zamorani, J. Zoubian, V. Scottez

Summary: This study investigates the cosmological constraints that can be obtained from the cross-correlation measurement of cosmic voids identified in the Euclid spectroscopic survey. The study finds that Euclid voids can accurately constrain the ratio of the transverse comoving distance and Hubble distance, as well as the growth rate, with high precision. Moreover, voids alone can provide precise measurements of the matter density parameter and the dark energy equation of state.

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Article Astronomy & Astrophysics

DESI and DECaLS (D&D): galaxy-galaxy lensing measurements with 1 per cent survey and its forecast

Ji Yao, Huanyuan Shan, Pengjie Zhang, Eric Jullo, Jean-Paul Kneib, Yu Yu, Ying Zu, David Brooks, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Satya Gontcho A. Gontcho, Theodore Kisner, Martin Landriau, Aaron Meisner, Ramon Miquel, Jundan Nie, Claire Poppett, Francisco Prada, Michael Schubnell, Mariana Vargas Magana, Zhimin Zhou

Summary: The shear measurement from DECaLS provides a great opportunity for galaxy-galaxy lensing study with DESI galaxies due to the large sky overlap. By combining DESI 1% survey and DECaLS DR8, significant detection of galaxy-galaxy lensing is achieved for BGS and LRG as lenses. This brings stronger requirements for future systematics control.

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