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<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical Modeling of the Solar Wind: Fluid, Kinetic, and Hybrid Approaches</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>209</FirstPage>
			<LastPage>225</LastPage>
			<ELocationID EIdType="pii">2023</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2025.3140.1229</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Somayeh </FirstName>
					<LastName>Taran</LastName>
<Affiliation>Faculty of Physics, University of Tabriz, PO Box 51666-16471, Tabriz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-7101-7449</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>This paper provides a comprehensive overview of the numerical methods used to model the solar wind, integrating fluid, kinetic, and hybrid perspectives. Beginning with the foundations of solar wind theory and the development of magnetohydrodynamic (MHD) models, we discuss how fluid-based formulations enable the simulation of global structures such as coronal mass ejections, shocks, and large-scale variations in the heliospheric magnetic field. To address processes that fall outside the scope of MHD, we examine kinetic modeling based on the Vlasov–Maxwell equations, emphasizing its capability to reproduce non-Maxwellian particle distributions, wave–particle interactions, temperature anisotropies, and collisionless heating. Hybrid approaches that merge MHD with kinetic techniques are highlighted as essential tools for capturing the multi-scale nature of the solar wind, particularly in regions where macroscopic flows couple to microphysical dynamics. The paper further reviews major numerical strategies used in solar wind simulations, comparing explicit and implicit time integration, adaptive mesh refinement, Particle-in-Cell (PIC) methods, and semi-Lagrangian approaches. Key stability considerations—including boundary-condition selection, the Courant–Friedrichs–Lewy (CFL) constraint, appropriate spatial and velocity-space resolution, and the targeted use of artificial diffusion—are discussed in relation to their impact on accuracy and robustness. Example simulations demonstrate the ability of advanced models to reproduce observed proton and electron temperature profiles \textbf{from the Sun out to 1AU}. Overall, numerical modeling plays a central role in interpreting solar wind observations and predicting space-weather conditions, and ongoing advances in computational methods continue to strengthen our understanding of heliospheric plasma dynamics.</Abstract>
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			<Param Name="value">Solar Wind</Param>
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			<Param Name="value">Numerical solution</Param>
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			<Param Name="value">MHD</Param>
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			<Param Name="value">Kinetic</Param>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2023_c85915c5d14c3c4c5b566aed401a1c95.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>27</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analytical Study of Gravitational Magnetoacoustic Waves in the Solar Corona</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>227</FirstPage>
			<LastPage>239</LastPage>
			<ELocationID EIdType="pii">2024</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2025.3144.1231</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammadamin </FirstName>
					<LastName>Zeinali Sabegh</LastName>
<Affiliation>Faculty of Physics, University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Zahra </FirstName>
					<LastName>Fazel</LastName>
<Affiliation>Faculty of Physics, University of Tabriz, Tabriz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-8267-9528</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>Coronal loops are one of the important waveguides in the solar atmosphere. Waveguides can be considered as the magnetic flux tubes for the generation and propagation of magnetohydrodynamic waves. In this paper, we have used a cylindrical geometry model to study the behavior of magnetohydrodynamic waves in coronal loops analytically. We considered a plasma structure with gravity acceleration and a uniform magnetic field. Wave equations were derived under specific assumptions and initial conditions. After linearization, perturbations were applied to obtain the dispersion relation. Using the dispersion equation, we obtained the frequency graph in terms of wave number. We investigated the effect of some parameters such as density, Alfvén velocity and gravitational acceleration on the behavior of waves. Our analysis of wave’s behavior across different kL regimes, and the observed convergence of phase speeds toward specific limits, provided valuable information regarding mode stability. The results showed that the sausage and kink modes approach each other at particular values of kL, where their phase speeds act as asymptotes. This convergence behavior demonstrates a fundamental relationship between these two types of wave modes under varying waveguide thickness conditions.</Abstract>
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			<Param Name="value">Sun</Param>
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			<Param Name="value">coronal loops</Param>
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			<Object Type="keyword">
			<Param Name="value">magnetohydrodynamic waves</Param>
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			<Object Type="keyword">
			<Param Name="value">dispersion relation</Param>
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			<Param Name="value">cylindrical geometry</Param>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2024_f7cdf9eb1d5c4dd7931e5d409626f365.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analyzing the Data of Galaxies in Different Scales Using Wavelet Transform</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>241</FirstPage>
			<LastPage>247</LastPage>
			<ELocationID EIdType="pii">2025</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2025.3193.1240</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Aria </FirstName>
					<LastName>Hemmatian</LastName>
<Affiliation>Department of Physics, Sharif University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0001-0839-8960</Identifier>

</Author>
<Author>
					<FirstName>Reza </FirstName>
					<LastName>Rezaei</LastName>
<Affiliation>Department of Physics, Sharif University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-3267-8946</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>15</Day>
				</PubDate>
			</History>
		<Abstract>One of the methods used to analyze the data obtained from a galaxy is to examine them in different scales. The data usually consists of many different wavelengths, and analyzing the structures of the same size in these images can be insanely insightful. Fortunately, a potent mathematical tool called wavelet exists for this exact purpose. Using wavelet analysis, we can decompose an image into structures of different scales, called the wavelet coefficients. Further investigations can be accomplished using wavelet spectrum and scale cross-correlations, which help us understand the energy distribution in scales. In this paper, we utilize the methods of wavelet scale analysis on the data from the galaxies M74 and DDO 69 to extract valuable information from them.</Abstract>
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			<Param Name="value">PetHat wavelet</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">scale cross-correlation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">data analysis</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2025_5f085815e322a0061603f6791c992c5a.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>14</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Relationship Between Recent and Old Star Formation in Dwarf Irregular Galaxies</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>249</FirstPage>
			<LastPage>266</LastPage>
			<ELocationID EIdType="pii">2038</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2026.3206.1242</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Aysan </FirstName>
					<LastName>Hemmatiortakand</LastName>
<Affiliation>Department of Physics, Sharif University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0006-8489-3193</Identifier>

</Author>
<Author>
					<FirstName>Reza </FirstName>
					<LastName>Rezaei</LastName>
<Affiliation>Department of Physics, Sharif University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-3267-8946</Identifier>

</Author>
<Author>
					<FirstName>Sina </FirstName>
					<LastName>Mehdizadeh Fard</LastName>
<Affiliation>Department of Physics, Sharif University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0004-6497-7467</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we investigate the structural properties of local dwarf irregular galaxies, including optical scale lengths, position angles, and star formation rates, using data from the LITTLE THINGS survey. Our analysis is based on a sample of 24 dwarf irregular galaxies. Optical structural parameters are derived from $B$ and $V$ band images, while recent star formation rates are estimated using $H_{\alpha}$ data. Our goal is to identify correlations among properties associated with the same epoch, such as relationships between scale lengths measured in different optical bands, as well as to explore connections between different evolutionary stages. In particular, we examine how recent star formation relates to the $B-V$ color index, V-band luminosity and magnitude, and scale lengths as measured in optical wavelengths. We find that (A) there is a strong correlation between scale lengths measured in different optical bands and (B) Recent star formation rates show strong correlations with both galaxy magnitude and scale length in the visible filter, indicating that very recent star formation activity (on timescales of $\sim$1 Myr) is closely linked to older star formation activity (on timescales of $\sim$1 Gyr). The results for our sample are consistent and in good agreement with values reported in literature. </Abstract>
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			<Param Name="value">Star Formation Rate</Param>
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			<Param Name="value">LITTLE THINGS</Param>
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			<Object Type="keyword">
			<Param Name="value">Photometry</Param>
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			<Object Type="keyword">
			<Param Name="value">Hα emission</Param>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2038_d9594be3a7e924ef23869d92d3337aab.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>18</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Review of Solar Spectral Analysis</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>267</FirstPage>
			<LastPage>290</LastPage>
			<ELocationID EIdType="pii">2041</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2026.3207.1241</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Somaye </FirstName>
					<LastName>Hosseini Rad</LastName>
<Affiliation>Department of Physics, Faculty of Science, University of Zanjan, University Blvd., P.O. Box 45371-38791, Zanjan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hasan </FirstName>
					<LastName>Rezaei</LastName>
<Affiliation>Department of Geography, Faculty of Basic Sciences, Imam Ali Nazaja University, P.O. Box 1317893471, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi </FirstName>
					<LastName>Simiari</LastName>
<Affiliation>Department of physics, Faculty of Science, Imam Ali University, P.O. Box 1317893471, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hossein </FirstName>
					<LastName>Safari</LastName>
<Affiliation>Department of Physics, Faculty of Science, University of Zanjan, University Blvd., P.O. Box 45371-38791, Zanjan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-2326-3201</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Solar spectral lines are among the most powerful diagnostics of plasma conditions in the solar atmosphere, providing constraints on temperature, density, flows, turbulence, magnetic fields, and energy release processes. High-resolution ultraviolet and X-ray observations reveal that solar line profiles often deviate from idealized symmetric Gaussian shapes, exhibiting excess broadening, asymmetries, and multi-component structures from the chromosphere to the flaring corona. This review presents an overview of the physical mechanisms governing solar spectral line formation, symmetry, asymmetry, and broadening, with emphasis on ultraviolet and extreme-ultraviolet diagnostics. We discuss the roles of thermal and non-thermal Doppler motions, unresolved flows, wave activity, magnetic and Stark effects, opacity-related processes, and instrumental broadening. Particular attention is given to transition-region lines, where multiple plasma components and highly dynamic heating processes produce complex, non-Gaussian profiles. We also review widely used methods for spectral line analysis, including single- and multi-Gaussian fitting, Lorentzian and Voigt representations, and Bayesian Markov Chain Monte Carlo approaches that enable robust parameter estimation and model comparison. Recent IRIS observations show that asymmetric Si\,\textsc{iv} line profiles are widespread in flaring and non-flaring conditions and often require multi-component modeling. Finally, we outline current challenges and emerging directions in solar spectroscopy, including instrumental calibration, cross-instrument consistency, and physics-informed analysis techniques. Future coordinated observations and improved inversion methods are expected to enhance the diagnostic potential of solar spectral lines and advance our understanding of plasma heating, magnetic reconnection, and energy transport in the solar atmosphere.</Abstract>
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			<Param Name="value">Solar spectroscopy</Param>
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			<Param Name="value">Spectral line broadening</Param>
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			<Object Type="keyword">
			<Param Name="value">Line profile asymmetry</Param>
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			<Object Type="keyword">
			<Param Name="value">Doppler diagnostics</Param>
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			<Param Name="value">Transition Region</Param>
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			<Param Name="value">Coronal plasma</Param>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2041_2a6eca3116146b6d976c031b757e4a18.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Iranian Journal of Astronomy and Astrophysics</JournalTitle>
				<Issn>2322-4924</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Solar Wind–Geomagnetic Coupling Based on Yearly Averages</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>291</FirstPage>
			<LastPage>297</LastPage>
			<ELocationID EIdType="pii">2063</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ijaa.2026.3131.1228</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Balveer Singh</FirstName>
					<LastName>Rathore</LastName>
<Affiliation>Government Holkar Science College, Indore, M.P. India</Affiliation>
<Identifier Source="ORCID">0009-0007-3310-4366</Identifier>

</Author>
<Author>
					<FirstName>Nidhi </FirstName>
					<LastName>Parmar</LastName>
<Affiliation>Government Holkar Science College, Indore, M.P. India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>Understanding solar phenomena is essential for predicting and mitigating the effects of solar activity on Earth’s near-space environment. Solar variability influences space weather conditions, impacting satellite operations, communication systems, and even terrestrial climate. Continuous investigation into the dynamic relationship between solar and geomagnetic parameters provides valuable insight into the Sun–Earth connection. Future work in solar phenomena research will likely focus on improving our understanding of the Sun&#039;s behaviours, particularly regarding its impact on Earth. This includes refining and investigating the connection between solar activity and terrestrial climate. In the present work, the focus is on examining the relationship between solar wind parameters and geomagnetic indices using yearly averaged data. The electric field and IMF Bz vary noticeably, exhibiting peaks that correspond with sunspot cycles (spanning the years 2014 to 2025). The total magnetic field B increases during solar maxima and shows a strong correlation with the Dst index. The Dst index becomes more negative during periods of high sunspot activity, indicating stronger geomagnetic storms during the observed duration. Bz shows fluctuations between positive and negative values with no clear long-term trend. The negative Bz (southward) component is essential because it couples strongly with Earth’s magnetosphere, enhancing geomagnetic storms.</Abstract>
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			<Param Name="value">Sun Spots</Param>
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			<Param Name="value">Solar Wind</Param>
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			<Param Name="value">Geomagnetic Storms</Param>
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<ArchiveCopySource DocType="pdf">https://ijaa.du.ac.ir/article_2063_d996731b4dc0092bdfb1c448b8549ab9.pdf</ArchiveCopySource>
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