Satellite and space debris photometric phase functions used for astronomical images contamination prediction

Abstract The increasing amount of space debris and the number of mega-constellations are creating a serious problems for terrestrial astronomy. Light trails caused by these objects contaminate astronomical images, rendering them ultimately worthless. Knowing where in the sky these objects will be and how bright they will be are essential to optimising observation planning and avoiding such contamination. Photometric phase functions are a powerful tool for understanding asteroids and resident space objects (RSOs) such as satellites, upper stages, and space debris. However, they also provide a means of predicting how these objects will reflect sunlight toward the observer. We consider a model that assumes a spherical object with diffuse and specular components. We defined the phase functions of more than 600 rotating RSOs using more than one million photometric measurements of more than 10 000 objects from the Mini-MegaTORTORA (MMT) light curve catalogue. We discuss in detail the photometric properties of space debris and satellites extracted from the MMT photometric catalogue using the model. We introduce our freely available online service that predicts the brightness of RSOs, including space debris and mega-constellations, for the purpose of supporting astronomers’ decision-making.

Authors

Institutions

Publication Details

Journal
Proceedings of the International Astronomical Union
Published
2024-12-01
DOI
https://doi.org/10.1017/s1743921324000826
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Satellite and space debris photometric phase functions used for astronomical images contamination prediction

Peter Jevčák, Matej Zigo, Jiří Šilha, Roman Ďurikovič et al.
Proceedings of the International Astronomical Union
Astro and Planetary Science
article

Satellite and space debris photometric phase functions used for astronomical images contamination prediction

Peter Jevčák, Matej Zigo, Jiří Šilha, Roman Ďurikovič, Tomáš Hrobár, Adam Rigan
article en

Abstract

Abstract The increasing amount of space debris and the number of mega-constellations are creating a serious problems for terrestrial astronomy. Light trails caused by these objects contaminate astronomical images, rendering them ultimately worthless. Knowing where in the sky these objects will be and how bright they will be are essential to optimising observation planning and avoiding such contamination. Photometric phase functions are a powerful tool for understanding asteroids and resident space objects (RSOs) such as satellites, upper stages, and space debris. However, they also provide a means of predicting how these objects will reflect sunlight toward the observer. We consider a model that assumes a spherical object with diffuse and specular components. We defined the phase functions of more than 600 rotating RSOs using more than one million photometric measurements of more than 10 000 objects from the Mini-MegaTORTORA (MMT) light curve catalogue. We discuss in detail the photometric properties of space debris and satellites extracted from the MMT photometric catalogue using the model. We introduce our freely available online service that predicts the brightness of RSOs, including space debris and mega-constellations, for the purpose of supporting astronomers’ decision-making.

Proceedings of the International Astronomical UnionVol. 20(S385)
Comenius University Bratislava (SK)
Peace, Justice and strong institutions
Openalex Percentile: Top 40%
Astro and Planetary Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Satellite and space debris photometric phase functions used for astronomical images contamination prediction — Peter Jevčák, Matej Zigo, et al. · Proceedings of the International Astronomical Union (2024) | TGRS Research Map | TGRS