Interpretation of polarimetric observations of hyperbolic comets

Polarimetric observations of comet C/2013 X1 (PANSTARRS) were compared with polarimetric data taken from the Polarimetric Comet Observations Database. To obtain a synthetic phase dependence of the degree of linear polarization of hyperbolic comets, the data were interpreted using computer simulations. In this case, computer simulation means calculating the characteristics of light scattered by particles of irregular shape and a certain chemical composition. Simulations showed that the dust ball would have to be 74 % amorphous carbon, 25 % magnesium-rich silicates, and 1 % water ice to reproduce the observed linear polarization values.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.26119/vak2024.111
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

Interpretation of polarimetric observations of hyperbolic comets

Д. В. Петров, Е. А. Жужулина, N. A. Kiselev
Astro and Planetary Science
article

Interpretation of polarimetric observations of hyperbolic comets

Д. В. Петров, Е. А. Жужулина, N. A. Kiselev
article en

Abstract

Polarimetric observations of comet C/2013 X1 (PANSTARRS) were compared with polarimetric data taken from the Polarimetric Comet Observations Database. To obtain a synthetic phase dependence of the degree of linear polarization of hyperbolic comets, the data were interpreted using computer simulations. In this case, computer simulation means calculating the characteristics of light scattered by particles of irregular shape and a certain chemical composition. Simulations showed that the dust ball would have to be 74 % amorphous carbon, 25 % magnesium-rich silicates, and 1 % water ice to reproduce the observed linear polarization values.

Russian Academy of Sciences (RU), Institute of Astronomy (RU), Crimean Astrophysical Observatory (UA)
Openalex Percentile: Top 82%
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.