Title: Linear feature detection algorithm for astronomical surveys – II. Defocusing effects on meteor tracks

Abstract

Given the current limited knowledge of meteor plasma micro-physics and its interaction with the surrounding atmosphere and ionosphere, meteors are a highly interesting observational target for high-resolution wide-field astronomical surveys. Such surveys are capable of resolving the physical size of meteor plasma heads, but they produce large volumes of images that need to be automatically inspected for possible existence of long linear features produced by meteors. Here in this paper, we show how big aperture sky survey telescopes detect meteors as defocused tracks with a central brightness depression. We derive an analytic expression for a defocused point source meteor track and use it to calculate brightness profiles of meteors modelled as uniform brightness discs. We apply our modelling to meteor images as seen by the Sloan Digital Sky Survey and Large Synoptic Survey Telescope telescopes. The expression is validated by Monte Carlo ray-tracing simulations of photons travelling through the atmosphere and the Large Synoptic Survey Telescope telescope optics. We show that estimates of the meteor distance and size can be extracted from the measured full width at half-maximum and the strength of the central dip in the observed brightness profile. However, this extraction becomes difficult when the defocused meteor trackmore » is distorted by the atmospheric seeing or contaminated by a long-lasting glowing meteor trail. The full width at half-maximum of satellite tracks is distinctly narrower than meteor values, which enables removal of a possible confusion between satellites and meteors.« less

Authors:

Bektešević, Dino ^[1]; Vinković, Dejan ^[2]; Rasmussen, Andrew ^[3]; Ivezić, Željko ^[4]

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+ Show Author Affiliations

1. Science and Society Synergy Inst., Cakovec (Croatia)
2. Science and Society Synergy Inst., Cakovec (Croatia); Hipersfera d.o.o., Zagreb (Croatia)
3. SLAC National Accelerator Lab., Menlo Park, CA (United States)
4. Univ. of Washington, Seattle, WA (United States). Dept. of Astronomy

Publication Date:

2017-12-05

Research Org.:

SLAC National Accelerator Lab., Menlo Park, CA (United States)

Sponsoring Org.:

USDOE Office of Science (SC); National Science Foundation (NSF); Alfred P. Sloan Foundation

OSTI Identifier:

1423517

Grant/Contract Number:  

AC02-76SF00515

Resource Type:

Accepted Manuscript

Journal Name:

Monthly Notices of the Royal Astronomical Society

Additional Journal Information:

Journal Volume: 474; Journal Issue: 4; Journal ID: ISSN 0035-8711

Publisher:

Royal Astronomical Society

Country of Publication:

United States

Language:

English

Subject:

79 ASTRONOMY AND ASTROPHYSICS; methods: data analysis; surveys; meteorites; meteors; meteoroids