Bright NEO

The below near-earth objects are expected to become brighter than magnitude 14.0 in the coming 12 months. If a NEO is currently brighter than magnitude 14 it will be highlighted in yellow. For more information about one of these near-earth objects, click on its designation.

NEO Today Closest Approach Brightest
designation Hₒ diameter est. magn delta (LD) date delta (LD) magn date magn
(363027) 1998 ST2719.6315 - 705 m14.117.9 LD12 Oct 20249.3 LD13.410 Oct 202413.0
(66146) 1998 TU314.44 - 8 km13.183.6 LD5 Nov 202434.6 LD11.930 Oct 202411.6
(36183) 1999 TX1616.31 - 3 km17.1168.3 LD13 Nov 202452.7 LD13.116 Nov 202412.7
2006 WB22.875 - 165 m21.441.6 LD27 Nov 20242.0 LD12.626 Nov 202412.3
2020 XR19.8290 - 645 m19.9135.6 LD4 Dec 20245.8 LD13.54 Dec 202413.4
(458122) 2010 EW4517.6800 - 1785 m19.5371.2 LD19 Dec 202421.3 LD14.322 Dec 202413.7
(887) Alinda13.85 - 10 km14.5215.0 LD8 Jan 202532.0 LD9.412 Jan 20259.2
2023 KU22.490 - 200 m26.0745.1 LD11 Apr 20252.7 LD14.412 Apr 202513.8
(424482) 2008 DG519.7310 - 690 m23.4752.9 LD6 Jun 20259.0 LD14.22 Jun 202513.7
2003 AY219.7300 - 675 m23.8654.7 LD21 Jun 202510.5 LD14.323 Jun 202513.8


The current positions of these NEOs are plotted in the below all-sky chart:





    Terminology:
            
    diameter est.:  Estimated diameter based on Hₒ and an albedo between 0.25 and 0.05 (So sizes may be over-estimated for icy objects)
    delta:          Distance between dwarf planet and earth in AU    
    magn:           Magnitude (brightness) estimate    
    LD:             Lunar distance (~0.0257 AU)
    AU:             Astronomical Unit (mean distance between earth and sun: 149597870.7 km    
    Hₒ:             Absolute magnitude (magnitude from a distance of 1 AU) 
    

Orbital elements provided by the MPC (Minor Planet Center).
UCAC4 star catalog via VizieR as provided by the Strasbourg astronomical Data Center.
Calculations by a modified version of AAPlus, a C# implementation of the AA+ project by PJ Naughter from the algorithms presented in the book "Astronomical Algorithms" by Jean Meeus.