Abstract

Small aperture telescopes provide the opportunity to conduct high frequency, targeted observations of near-Earth Asteroids that are not feasible with larger facilities due to highly competitive time allocation requirements. Observations of asteroids with these types of facilities often focus on rotational brightness variations rather than longer-term phase angle-dependent variations (phase curves) due to the difficulty of achieving high precision photometric calibration. We have developed an automated asteroid light curve extraction and calibration pipeline for images of moving objects from the 0.43 m Physics Innovations Robotic Telescope Explorer. This allows for the frequency and quality of observations required to construct asteroid phase curves. Optimizations in standard data reduction procedures are identified that may allow for similar small aperture facilities, constructed from commercially available/off-the-shelf components, to improve the image and subsequent data quality. A demonstration of the hardware and software capabilities is expressed through observation statistics from a 10 months observing campaign, and through the photometric characterization of near-Earth Asteroids 8014 (1990 MF) and 19764 (2000 NF5).

Highlights

  • Despite their limited light gathering power, small aperture (

  • In order to maximize the scientific output of the PIRATE facility, the existing standard data reduction processes have been optimized to minimize noise sources where possible

  • Bias correction is conducted using a bias structure map that is scaled according to a mean bias level relationship with dome temperature

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Summary

Introduction

Despite their limited light gathering power, small aperture (

PIRATE
Observation Strategy
Optimizing Standard Data Reduction Processes
CCD Bias Characterization
Flatfield Characterization
Light Curve Extraction
Light Curve Calibration
Photometric Characterization Methods
Spin-state Analysis and Rotational Averaging
Phase Curve Fitting and Classification
Target Observations and Derived Properties
Observatory and Pipeline Performance
Findings
Summary
Full Text
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