Validation of heliospheric modeling algorithms through pulsar observations II: simulations with EUHFORIA

C. Tiburzi; E. Samara; G. M. Shaifullah; I. Jebaraj; J. Magdalenic; P. Zucca

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Validation of heliospheric modeling algorithms through pulsar observations II: simulations with EUHFORIA

G. M. Shaifullah, J. Magdalenic, C. Tiburzi, I. Jebaraj, E. Samara, P. Zucca

Solar and Stellar Astrophysics · Submitted 12 Jun 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We find a very good correlation for the solar wind density along a given line of sight obtained by EUHFORIA and pulsar observations.

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arXiv ID2306.07450 (version 1)

Pith IDPMK5RUXV, Pith's permanent record of this paper and its review

CitationC. Tiburzi, E. Samara, G. M. Shaifullah, I. Jebaraj, J. Magdalenic, P. Zucca. "Validation of heliospheric modeling algorithms through pulsar observations II: simulations with EUHFORIA." arXiv:2306.07450 (2023). https://pith.science/paper/PMK5RUXV

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What the abstract itself states, as probabilities: claims first 0.92 · states limitation 0.36 · human participants 0.02 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.10 · compares with prior results 0.71 · mentions code or data availability 0.03.

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In space weather studies and forecasting we employ magnetohydrodynamic (MHD) simulations which can provide rather accurate reconstruction of the solar wind dynamics and its evolution. However, all MHD simulations are restricted by the input data and the modelled solar wind characteristics need to be validated with different types of observations. That is very difficult, in particular for the solar wind characteristics close to the Sun, since the majority of in-situ observations are taken in the vicinity of the Earth. This is why all alternative methods for estimation of solar wind plasma characteristics are very important. In this study we utilise low radio frequency observations of pulsars to probe the total electron content along the line of sight. For the first time, we compare density estimates from pulsars with predictions from the 3D MHD modelling code; the EUropean Heliospheric FORecasting Information Asset (EUHFORIA). We find a very good correlation for the solar wind density along a given line of sight obtained by EUHFORIA and pulsar observations. We also demonstrate that the pulsar observations can be very useful not only for the model validation but also for understanding its limitations.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	In space weather studies and forecasting we employ magnetohydrodynamic (MHD) simulations which can provide rather accurate reconstruction of the solar wind dynamics and its evolution.	background 1.00	0.06	0.02	asserted 0.64
s1	However, all MHD simulations are restricted by the input data and the modelled solar wind characteristics need to be validated with different types of observations.	background 0.74	0.06	0.02	asserted 1.00
s2	That is very difficult, in particular for the solar wind characteristics close to the Sun, since the majority of in-situ observations are taken in the vicinity of the Earth.	background 0.51	0.06	0.02	asserted 0.99
s3	This is why all alternative methods for estimation of solar wind plasma characteristics are very important.	background 0.77	0.04	0.03	asserted 0.99
s4	In this study we utilise low radio frequency observations of pulsars to probe the total electron content along the line of sight.	method 0.92	0.90	0.03	asserted 0.98
s5	For the first time, we compare density estimates from pulsars with predictions from the 3D MHD modelling code; the EUropean Heliospheric FORecasting Information Asset (EUHFORIA).	contribution 0.90	0.94	0.07	asserted 0.96
s6	We find a very good correlation for the solar wind density along a given line of sight obtained by EUHFORIA and pulsar observations.	result 1.00	0.96	0.76	asserted 1.00
s7	We also demonstrate that the pulsar observations can be very useful not only for the model validation but also for understanding its limitations.	interpretation 0.95	0.91	0.24	asserted 0.98

What kind of paper the classifier reports this is: simulation study 0.84 · evidence from analysis of existing data 0.48.

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arXiv listing abstract v1

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

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Original abstract

In space weather studies and forecasting we employ magnetohydrodynamic (MHD) simulations which can provide rather accurate reconstruction of the solar wind dynamics and its evolution. However, all MHD simulations are restricted by the input data and the modelled solar wind characteristics need to be validated with different types of observations. That is very difficult, in particular for the solar wind characteristics close to the Sun, since the majority of in-situ observations are taken in the vicinity of the Earth. This is why all alternative methods for estimation of solar wind plasma characteristics are very important. In this study we utilise low radio frequency observations of pulsars to probe the total electron content along the line of sight. For the first time, we compare density estimates from pulsars with predictions from the 3D MHD modelling code; the EUropean Heliospheric FORecasting Information Asset (EUHFORIA). We find a very good correlation for the solar wind density along a given line of sight obtained by EUHFORIA and pulsar observations. We also demonstrate that the pulsar observations can be very useful not only for the model validation but also for understanding its limitations.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 8 sentences without a confident label

Uses the method or tool of 7 papers

We present a summary of the employed methods below, details of which can be found in [ref] and references therein for the pulsar DM estimation, and [ref] for details on the EUHFORIA modelling.

1907.07461 · Methods · 0.91
We present a summary of the employed methods below, details of which can be found in [ref] and references therein for the pulsar DM estimation, and [ref] for details on the EUHFORIA modelling.

Implementing the MULTI-VP coronal model in EUHFORIA: test case results and comparisons with the WSA coronal model · Methods · 0.91
To obtain these dates we make use of a modified version of the CMEchaser package [ref] .

CMEchaser, detecting line-of-sight occultations due to Coronal Mass Ejections · Observations · 1.00

Cites as background 2 papers

Remarkable progress has been achieved in modelling the evolution and propagation of the solar wind (SW) and coronal mass ejections (CMEs) by employing 3D MHD models such as ENLIL [ref] and the EUropean Heliospheric FORecasting Information Asset [ref] .

Exploring the radial evolution of Interplanetary Coronal Mass Ejections using EUHFORIA · Introduction · 0.82
Our findings are not only promising for space-weather applications, but also for pulsar-based experiments such as Pulsar Timing Arrays (PTAs, see e.g. [ref] ), which aim to detect low-frequency gravitational waves by identifying corresponding perturbations in pulsar signals.

Pulsars probe the low-frequency gravitational sky: Pulsar Timing Arrays basics and recent results · Discussion and conclusions · 0.95

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