Publications

in 2020



  1. Eriksen, M. et al.,
    The PAU Survey: Photometric redshifts using transfer learning from simulations,
    Monthly Notices Of The Royal Astronomical Society. 497 (4): 4565-4579 (2020) [DOI] [ARXIV]
  2. Gatti, M. et al.,
    Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps - validation on simulations,
    Monthly Notices Of The Royal Astronomical Society. 498 (3): 4060-4087 (2020) [DOI] [ARXIV]
  3. Cabayol-Garcia, L. et al.,
    The PAU Survey: background light estimation with deep learning techniques,
    Monthly Notices Of The Royal Astronomical Society. 491 (4): 5392-5405 (2020) [DOI] [ARXIV]
  4. Martinelli M et al.,
    Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes,
    Astronomy & Astrophysics. 644 (2020) [DOI] [ARXIV]
  5. Dal Ponte M et al.,
    Increasing the census of ultracool dwarfs in wide binary and multiple systems using Dark Energy Survey DR1 and Gaia DR2 data,
    Monthly Notices Of The Royal Astronomical Society. 499 (4): 5302-5317 (2020) [DOI] [ARXIV]
  6. Tutusaus I et al.,
    Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey,
    Astronomy & Astrophysics. 643 (2020) [DOI] [ARXIV]
  7. Pereira MES et al.,
    μ* masses: Weak-lensing calibration of the dark energy survey year 1 redMaPPer clusters using stellar masses,
    Monthly Notices Of The Royal Astronomical Society. 498 (4): 5450-5467 (2020) [DOI] [ARXIV]
  8. Blanchard A et al.,
    Euclid preparation: VII. Forecast validation for Euclid cosmological probes,
    Astronomy & Astrophysics. 642 (2020) [DOI] [ARXIV]
  9. Guglielmo V et al.,
    Euclid preparation: VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release,
    Astronomy & Astrophysics. 642 (2020) [DOI] [ARXIV]
  10. Herner K et al.,
    Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs,
    Astronomy And Computing. 33 (2020) [DOI] [ARXIV]
  11. Wiseman P et al.,
    The host galaxies of 106 rapidly evolving transients discovered by the Dark Energy Survey,
    Monthly Notices Of The Royal Astronomical Society. 498 (2): 2575-2593 (2020) [DOI] [ARXIV]
  12. Hartley, W G et al.,
    The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys,
    Monthly Notices Of The Royal Astronomical Society. 496 (4): 4769-4786 (2020) [DOI] [ARXIV]
  13. Tallada P et al.,
    CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop,
    Astronomy And Computing. 32 (2020) [DOI] [ARXIV]
  14. Gutiérrez CP et al.,
    DES16C3cje: A low-luminosity, long-lived supernova,
    Monthly Notices Of The Royal Astronomical Society. 496 (1): 95-110 (2020) [DOI] [ARXIV]
  15. Lidman C et al.,
    OzDES multi-object fibre spectroscopy for the Dark Energy Survey: Results and second data release,
    Monthly Notices Of The Royal Astronomical Society. 496 (1): 19-35 (2020) [DOI] [ARXIV]
  16. Pires, S et al.,
    Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies,
    Astronomy & Astrophysics. 638 (2020) [DOI] [ARXIV]
  17. Paykari, P et al.,
    Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments (vol 635, A139, 2020),
    Astronomy & Astrophysics. 638 (2020) [DOI] [ARXIV]
  18. Shajib, AJ et al.,
    STRIDES: a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408-5354,
    Monthly Notices Of The Royal Astronomical Society. 494 (4): 6072-6102 (2020) [DOI] [ARXIV]
  19. Pursiainen, M et al.,
    The Mystery of Photometric Twins DES17X1boj and DES16E2bjy,
    Monthly Notices Of The Royal Astronomical Society. 494 (4): 5576-5589 (2020) [DOI] [ARXIV]
  20. Scolnic D et al.,
    Supernova Siblings: Assessing the Consistency of Properties of Type Ia Supernovae that Share the Same Parent Galaxies,
    Astrophysical Journal Letters. 896 (1): (2020) [DOI] [ARXIV]
  21. Nord, B et al.,
    Observation and Confirmation of Nine Strong Lensing Systems in Dark Energy Survey Year 1 Data,
    Monthly Notices Of The Royal Astronomical Society. 494 (1): 1308-1322 (2020) [DOI] [ARXIV]
  22. Gupta, N et al.,
    Constraining Radio Mode Feedback in Galaxy Clusters with the Cluster Radio AGN Properties to z$\sim$1,
    Monthly Notices Of The Royal Astronomical Society. 494 (2): 1705-1723 (2020) [DOI] [ARXIV]
  23. Muir, J et al.,
    Blinding multi-probe cosmological experiments,
    Monthly Notices Of The Royal Astronomical Society. 494 (3): 4454-4470 (2020) [DOI] [ARXIV]
  24. Bisigello, L et al.,
    Euclid: the selection of quiescent and star-forming galaxies using observed colours,
    Monthly Notices Of The Royal Astronomical Society. 494 (2): 2337-2354 (2020) [DOI] [ARXIV]
  25. Deshpande, A C et al.,
    Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments,
    Astronomy & Astrophysics. 636 (2020) [DOI] [ARXIV]
  26. Kacprzak, T et al.,
    Monte Carlo Control Loops for Cosmic Shear Cosmology with DES Year 1,
    Physical Review d. 101 (8): (2020) [DOI] [ARXIV]
  27. Khain, T et al.,
    Dynamical Classification of Trans-Neptunian Objects Detected by the Dark Energy Survey,
    Astronomical Journal. 159 (4): (2020) [DOI] [ARXIV]
  28. Palmese, A et al.,
    Stellar Mass as a Galaxy Cluster Mass Proxy: Application to the Dark Energy Survey redMaPPer Clusters,
    Monthly Notices Of The Royal Astronomical Society. 493 (4): 4591-4606 (2020) [DOI] [ARXIV]
  29. Drlica-Wagner, A et al.,
    Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1,
    Astrophysical Journal Letters. 893 (1): (2020) [DOI] [ARXIV]
  30. Nadler, EO et al.,
    Milky Way Satellite Census -- II. Galaxy-Halo Connection Constraints Including the Impact of the Large Magellanic Cloud,
    Astrophysical Journal Letters. 893 (1): (2020) [DOI] [ARXIV]
  31. Simon JD et al.,
    Birds of a Feather? Magellan/IMACS Spectroscopy of the Ultra-faint Satellites Grus II, Tucana IV, and Tucana v,
    Astrophysical Journal Letters. 892 (2): (2020) [DOI] [ARXIV]
  32. Ammazzalorso, S et al.,
    Detection of cross-correlation between gravitational lensing and gamma rays,
    Physical Review Letters. 124 (10): 101102- (2020) [DOI] [ARXIV]
  33. Bleem, L E et al.,
    The SPTpol Extended Cluster Survey,
    Astrophysical Journal Supplement Series. 247 (1): (2020) [DOI] [ARXIV]
  34. Bernardinelli, Pedro H et al.,
    Trans-Neptunian Objects Found in the First Four Years of the Dark Energy Survey,
    Astrophysical Journal Supplement Series. 247 (1): (2020) [DOI] [ARXIV]
  35. Burke, Colin J et al.,
    The Curious Case of PHL 293B: A Long-lived Transient in a Metal-poor Blue Compact Dwarf Galaxy,
    Astrophysical Journal Letters. 894 (1): (2020) [DOI] [ARXIV]
  36. Lemon, C et al.,
    The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2017/2018 follow-up campaign: discovery of 10 lensed quasars and 10 quasar pairs,
    Monthly Notices Of The Royal Astronomical Society. 494 (3): 3491-3511 (2020) [DOI] [ARXIV]
  37. Smith, M et al.,
    First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity,
    Monthly Notices Of The Royal Astronomical Society. 494 (3): 4426-4447 (2020) [DOI] [ARXIV]
  38. Zenteno, A et al.,
    A joint SZ-X-ray-optical analysis of the dynamical state of 288 massive galaxy clusters,
    Monthly Notices Of The Royal Astronomical Society. 495 (1): 705-725 (2020) [DOI] [ARXIV]
  39. Abbott, T M C et al.,
    Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing,
    Physical Review d. 102 (2): (2020) [DOI] [ARXIV]
  40. de Jaeger, T. et al.,
    Studying Type II supernovae as cosmological standard candles using the Dark Energy Survey,
    Monthly Notices Of The Royal Astronomical Society. 495 (4): 4860-4892 (2020) [DOI] [ARXIV]
  41. Wiseman, P. et al.,
    Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses,
    Monthly Notices Of The Royal Astronomical Society. 495 (4): 4040-4060 (2020) [DOI] [ARXIV]
  42. Hansen, T T et al.,
    Chemical Analysis of the Ultrafaint Dwarf Galaxy Grus II. Signature of High-mass Stellar Nucleosynthesis,
    Astrophysical Journal Letters. 897 (2): (2020) [DOI] [ARXIV]
  43. Yang, Qian et al.,
    Dust Reverberation Mapping in Distant Quasars from Optical and Mid-infrared Imaging Surveys,
    Astrophysical Journal Letters. 900 (1): (2020) [DOI] [ARXIV]
  44. du Mas des Bourboux, Helion et al.,
    The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Ly alpha Forests,
    Astrophysical Journal Letters. 901 (2): (2020) [DOI] [ARXIV]
  45. Eckert, K et al.,
    Noise from undetected sources in Dark Energy Survey images,
    Monthly Notices Of The Royal Astronomical Society. 497 (3): 2529-2539 (2020) [DOI] [ARXIV]
  46. Gualdi, Davide et al.,
    GEOMAX: beyond linear compression for three-point galaxy clustering statistics,
    Monthly Notices Of The Royal Astronomical Society. 497 (1): 776-792 (2020) [DOI] [ARXIV]
  47. Guo, Hengxiao et al.,
    Dark Energy Survey identification of a low-mass active galactic nucleus at redshift 0.823 from optical variability,
    Monthly Notices Of The Royal Astronomical Society. 496 (3): 3636-3647 (2020) [DOI] [ARXIV]
  48. Macaulay, E et al.,
    Weak lensing of Type Ia Supernovae from the Dark Energy Survey,
    Monthly Notices Of The Royal Astronomical Society. 496 (3): 4051-4059 (2020) [DOI] [ARXIV]
  49. Morgan, R et al.,
    Constraints on the Physical Properties of GW190814 through Simulations Based on DECam Follow-up Observations by the Dark Energy Survey,
    Astrophysical Journal Letters. 901 (1): (2020) [DOI] [ARXIV]
  50. Palmese, A et al.,
    A Statistical Standard Siren Measurement of the Hubble Constant from the LIGO/Virgo Gravitational Wave Compact Object Merger GW190814 and Dark Energy Survey Galaxies,
    Astrophysical Journal Letters. 900 (2): (2020) [DOI] [ARXIV]
  51. Pieres, A et al.,
    Modelling the Milky Way - I. Method and first results fitting the thick disc and halo with DES-Y3 data,
    Monthly Notices Of The Royal Astronomical Society. 497 (2): 1547-1562 (2020) [DOI] [ARXIV]
  52. Yu, Zhefu et al.,
    Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields,
    Astrophysical Journal Supplement Series. 246 (1): (2020) [DOI] [ARXIV]
  53. Garcia, A. et al.,
    A DESGW Search for the Electromagnetic Counterpart to the LIGO/Virgo Gravitational-wave Binary Neutron Star Merger Candidate S190510g,
    Astrophysical Journal Letters. 903 (1): (2020) [DOI] [ARXIV]
  54. Buckley-Geer, E. J. et al.,
    STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408-5354 and WGD 2038-4008,
    Monthly Notices Of The Royal Astronomical Society. 498 (3): 3241-3274 (2020) [DOI] [ARXIV]
  55. Chen, Yu-Ching et al.,
    Candidate periodically variable quasars from the Dark Energy Survey and the Sloan Digital Sky Survey,
    Monthly Notices Of The Royal Astronomical Society. 499 (2): 2245-2264 (2020) [DOI] [ARXIV]
  56. Friedrich, Oliver et al.,
    Primordial non-Gaussianity without tails - how to measure f(NL) with the bulk of the density PDF,
    Monthly Notices Of The Royal Astronomical Society. 498 (1): 464-483 (2020) [DOI] [ARXIV]
  57. Grandis, S. et al.,
    Validation of selection function, sample contamination and mass calibration in galaxy cluster samples,
    Monthly Notices Of The Royal Astronomical Society. 498 (1): 771-798 (2020) [DOI] [ARXIV]
  58. Karacayli, Naim Goksel et al.,
    Optimal 1D Ly alpha forest power spectrum estimation - I. DESI-lite spectra,
    Monthly Notices Of The Royal Astronomical Society. 497 (4): 4742-4752 (2020) [DOI] [ARXIV]
  59. Farr, James et al.,
    Optimal strategies for identifying quasars in DESI,
    Journal Of Cosmology And Astroparticle Physics. (11): (2020) [DOI] [ARXIV]
  60. Smith, M. et al.,
    First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy,
    Astronomical Journal. 160 (6): (2020) [DOI] [ARXIV]
  61. Desprez, G et al.,
    Euclid preparation: X. The Euclid photometric-redshift challenge,
    Astronomy & Astrophysics. 644 (2020) [DOI] [ARXIV]
  62. Pontinen, M et al.,
    Euclid: Identification of asteroid streaks in simulated images using <monospace>StreakDet</monospace> software,
    Astronomy & Astrophysics. 644 (2020) [DOI] [ARXIV]
  63. Pandey, S et al.,
    Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey,
    Physical Review d. 102 (12): (2020) [DOI] [ARXIV]
  64. et al.,
    Clustering-redshift methodology in dark energy survey year 1 analysis,
    Proceedings Of The 53rd Rencontres De Moriond On Cosmology 2018. 83-86 (2020)
  65. Rodriguez, Facundo et al.,
    Close galaxy pairs with accurate photometric redshifts,
    Astronomy & Astrophysics. 634 (2020) [DOI] [ARXIV]
  66. Leung, Y. et al.,
    The Diffuse Light Envelope of Luminous Red Galaxies,
    Research Notes Of The Aas. 4 (10): 174- (2020) [DOI] [ARXIV]
  67. Paykari, P et al.,
    Euclid preparation: VI. Verifying the performance of cosmic shear experiments,
    Astronomy & Astrophysics. 635 (2020) [DOI] [ARXIV]