739 observed NEAs and new 2-4m survey statistics within the EURONEAR network

TL;DR

This paper reports extensive follow-up observations of 739 NEAs and surveys of main belt asteroids, demonstrating the importance of timely astrometric follow-up and providing new statistics on NEO candidate detection rates in 2-4m class surveys.

Contribution

It presents a large dataset of NEA follow-ups and survey observations, introduces improved NEO candidate selection methods, and provides new statistical estimates for NEO detection in medium-sized surveys.

Findings

Follow-up of 739 NEAs enhances orbital data accuracy.

Survey observations discovered over 700 unknown objects, including 104 MBAs.

NEO candidate detection rates align with previous estimates, with 0.5 candidates per sq. degree in 2m surveys.

Abstract

We report follow-up observations of 477 program Near-Earth Asteroids (NEAs) using nine telescopes of the EURONEAR network having apertures between 0.3 and 4.2 m. Adding these NEAs to our previous results we now count 739 program NEAs followed-up by the EURONEAR network since 2006. The targets were selected using EURONEAR planning tools focusing on high priority objects. Analyzing the resulting orbital improvements suggests astrometric follow-up is most important days to weeks after discovery, with recovery at a new opposition also valuable. Additionally we observed 40 survey fields spanning three nights covering 11 sq. degrees near opposition, using the Wide Field Camera on the 2.5m Isaac Newton Telescope (INT), resulting in 104 discovered main belt asteroids (MBAs) and another 626 unknown one-night objects. These fields, plus program NEA fields from the INT and from the wide field MOSAIC II camera on the Blanco 4m telescope, generated around 12,000 observations of 2,000 minor planets (mostly MBAs) observed in 34 square degrees. We identify Near Earth Object (NEO) candidates among the unknown (single night) objects using three selection criteria. Testing these criteria on the (known) program NEAs shows the best selection methods are our epsilon-miu model which checks solar elongation and sky motion and the MPC's NEO rating tool. Our new data show that on average 0.5 NEO candidates per square degree should be observable in a 2m-class survey (in agreement with past results), while an average of 2.7 NEO candidates per square degree should be observable in a 4m-class survey (although our Blanco statistics were affected by clouds). At opposition just over 100 MBAs (1.6 unknown to every 1 known) per square degree are detectable to R=22 in a 2m survey based on the INT data, while our two best ecliptic Blanco fields away from opposition lead to 135 MBAs (2 unknown to every 1 known) to R=23.