Comparing first ionization potential bias diagnostics in the solar atmosphere

Plasma composition in the solar atmosphere differs between the photosphere and corona, producing an observable difference in elemental abundance known as the first ionization potential (FIP) effect. The FIP effect is characterized by the ratio of low to high FIP elements, giving a number known as the FIP bias. FIP bias values vary between different regions of the solar atmosphere, with typical observed values of approximately 1 for coronal holes, approximately 1.5-2 for the quiet Sun and approximately 3 for active regions. The Extreme ultraviolet Imaging Spectrometer (EIS) onboard the Hinode spacecraft has enabled the widespread use of the Si X/S X line pair as a FIP bias diagnostic, but EIS observes other line pairs that can be used to estimate FIP bias. We consider three FIP bias diagnostics observed by Hinode/EIS (Si X/S X, Ca XIV/Ar XIVand Fe XVI/S XIII), comparing the FIP bias between the quiet Sun and an active region. We also assume a range of signal-to-noise ratio (SNR) cut-off values for each pixel, finding that while the SNR cut-off affects the number of useable pixels, higher (lower) SNR cut-offs remove (retain) a tail of high FIP bias values within the measured distribution. However, the median value of the FIP bias distribution remains largely unchanged. These results show the importance of a more nuanced view of FIP bias when using this vitally important diagnostic rather than a simplistic one-size-fits-all approach. This article is part of the Theo Murphy meeting issue 'Solar atmospheric abundances in space and time'.

Authors

Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2026-07-02
DOI
https://doi.org/10.1098/rsta.2025.0172
Citations
1
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
7.14

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing first ionization potential bias diagnostics in the solar atmosphere

David M. Long, Andy S. H. To, Kristena D. Spruksta
1 citations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Solar and Space Plasma Dynamics
7.14
article

Comparing first ionization potential bias diagnostics in the solar atmosphere

David M. Long, Andy S. H. To, Kristena D. Spruksta
article en
1 citations

Abstract

Plasma composition in the solar atmosphere differs between the photosphere and corona, producing an observable difference in elemental abundance known as the first ionization potential (FIP) effect. The FIP effect is characterized by the ratio of low to high FIP elements, giving a number known as the FIP bias. FIP bias values vary between different regions of the solar atmosphere, with typical observed values of approximately 1 for coronal holes, approximately 1.5-2 for the quiet Sun and approximately 3 for active regions. The Extreme ultraviolet Imaging Spectrometer (EIS) onboard the Hinode spacecraft has enabled the widespread use of the Si X/S X line pair as a FIP bias diagnostic, but EIS observes other line pairs that can be used to estimate FIP bias. We consider three FIP bias diagnostics observed by Hinode/EIS (Si X/S X, Ca XIV/Ar XIVand Fe XVI/S XIII), comparing the FIP bias between the quiet Sun and an active region. We also assume a range of signal-to-noise ratio (SNR) cut-off values for each pixel, finding that while the SNR cut-off affects the number of useable pixels, higher (lower) SNR cut-offs remove (retain) a tail of high FIP bias values within the measured distribution. However, the median value of the FIP bias distribution remains largely unchanged. These results show the importance of a more nuanced view of FIP bias when using this vitally important diagnostic rather than a simplistic one-size-fits-all approach. This article is part of the Theo Murphy meeting issue 'Solar atmospheric abundances in space and time'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 384(2323)
Dublin City University (IE), European Space Research and Technology Centre (NL)
National Aeronautics and Space Administration, Science and Technology Facilities Council
Openalex Percentile: Top 3%
Solar and Space Plasma Dynamics
7.14
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.