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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Astron. Space Sci.</journal-id>
<journal-title>Frontiers in Astronomy and Space Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Astron. Space Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-987X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1479874</article-id>
<article-id pub-id-type="doi">10.3389/fspas.2024.1479874</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Astronomy and Space Sciences</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Unveiling the quasar main sequence: illuminating the complexity of active galactic nuclei and their evolution</article-title>
<alt-title alt-title-type="left-running-head">Panda</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fspas.2024.1479874">10.3389/fspas.2024.1479874</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Panda</surname>
<given-names>Swayamtrupta</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/432389/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>International Gemini Observatory/NSF NOIRLab</institution>, <addr-line>La Serena</addr-line>, <country>Chile</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laborat&#xf3;rio Nacional de Astrof&#xed;sica - MCTI</institution>, <addr-line>Itajub&#xe1;</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/223813/overview">Didier Fraix-Burnet</ext-link>, UMR5274 Institut de Plan&#xe9;tologie et d&#x2019;Astrophysique de Grenoble (IPAG), France</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/644269/overview">Pu Du</ext-link>, Chinese Academy of Sciences (CAS), China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Swayamtrupta Panda, <email>swayamtrupta.panda@noirlab.edu</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>Gemini Science Fellow</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1479874</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Panda.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Panda</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The Eigenvector 1 schema, or the main sequence of quasars, was introduced as an analogous scheme to the HR diagram that would allow us to understand the more complex, extended sources - active galactic nuclei (AGNs) that harbor accreting supermassive black holes. The study has spanned more than three decades and has advanced our knowledge of the diversity of Type-1 AGNs from both observational and theoretical aspects. The quasar main sequence, in its simplest form, is the plane between the FWHM of the broad H<inline-formula id="inf1">
<mml:math id="m1">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> emission line and the strength of the optical Fe <sc>ii</sc> emission to the H<inline-formula id="inf2">
<mml:math id="m2">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>. While the former allows the estimation of the black hole mass, the latter enables direct measurement of the metal content and traces the accretion rate of the AGN. Together, they allow us to track the evolution of AGN in terms of the activity of the central nuclei, its effect on the line-emitting regions surrounding the AGN, and their diversity making them suitable distance indicators to study the expansion of our Universe. This mini-review aims to provide (i) a brief history leading up to the present day in the study of the quasar main sequence, (ii) introduce us to the many possibilities to study AGNs with the main sequence as a guiding tool, and (iii) highlight some recent, exciting lines of researches at the frontier of this ever-growing field.</p>
</abstract>
<kwd-group>
<kwd>active galactic nuclei</kwd>
<kwd>quasars</kwd>
<kwd>seyfert galaxies</kwd>
<kwd>emission lines</kwd>
<kwd>AGN variability</kwd>
<kwd>changing-look AGNs</kwd>
<kwd>accretion disks</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Extragalactic Astronomy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 What is the quasar main sequence? - a brief history</title>
<p>More than three decades ago, <xref ref-type="bibr" rid="B8">Boroson and Green (1992)</xref> put forward the idea of a main sequence of quasars - an analogous schema to the Hertzsprung-Russel (HR) diagram (<xref ref-type="bibr" rid="B55">Hertzsprung, 1911</xref>; <xref ref-type="bibr" rid="B151">Russell, 1914</xref>) that has allowed us to track the evolution of stars of varied ages and diverse properties utilizing the classification based on their color and magnitude. Akin to the HR diagram, the quasar main sequence (QMS) was envisioned to help put together the diverse population of Type-1, unobscured active galactic nuclei (AGNs) through the compilation of spectral properties from the broad- and narrow line-emitting regions of a sample of nearby, bright AGNs.</p>
<p>Before diving into the recent advances, we would like to reflect on the importance of Boroson and Green&#x2019;s work with a brief account of the procedure carried out to realize the first results that laid the foundations of the Quasar Main Sequence.</p>
<sec id="s1-1">
<title>1.1 The inception of the main sequence of quasars</title>
<p>Boroson and Green conducted their study within the low-redshift range (z <inline-formula id="inf3">
<mml:math id="m3">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.5), analyzing 87 sources from the Bright Quasar Survey (<xref ref-type="bibr" rid="B155">Schmidt and Green, 1983</xref>). Their primary finding from optical spectra analysis of these quasars was that the Fe <sc>ii</sc> line equivalent width consistently matched that of H<inline-formula id="inf4">
<mml:math id="m4">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>, indicating that Fe <sc>ii</sc> emission originates from the same broad-line region (BLR) clouds as H<inline-formula id="inf5">
<mml:math id="m5">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>. Additionally, they compiled optical spectral properties for each source. They integrated these with data from other spectral regions from previous studies, creating a 17-parameter correlation matrix for emission lines and continuum properties. Using principal component analysis (PCA, <xref ref-type="bibr" rid="B37">Francis and Wills, 1999</xref>) on this matrix to identify meaningful correlations, they focused on 13 key properties including <inline-formula id="inf6">
<mml:math id="m6">
<mml:msub>
<mml:mrow>
<mml:mi>M</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>V</mml:mi>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> (V-band magnitude), log <inline-formula id="inf7">
<mml:math id="m7">
<mml:mi>R</mml:mi>
</mml:math>
</inline-formula> (radio-to-optical spectral index, <xref ref-type="bibr" rid="B67">Kellermann et al., 1989</xref>), <inline-formula id="inf8">
<mml:math id="m8">
<mml:msub>
<mml:mrow>
<mml:mi>&#x3b1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>o</mml:mi>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> (optical-to-X-ray spectral index, <xref ref-type="bibr" rid="B166">Tananbaum et al., 1986</xref>), EW(H<inline-formula id="inf9">
<mml:math id="m9">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>), [O <sc>iii</sc>]<inline-formula id="inf10">
<mml:math id="m10">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>5,007 strength, He <sc>ii</sc>
<inline-formula id="inf11">
<mml:math id="m11">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>4,686 strength, Fe <sc>ii</sc> (4434-4684 &#xc5;) strength (see also left panel of <xref ref-type="fig" rid="F1">Figure 1</xref>), [O <sc>iii</sc>]<inline-formula id="inf12">
<mml:math id="m12">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>5,007/H<inline-formula id="inf13">
<mml:math id="m13">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> peak height ratio, FWHM(H<inline-formula id="inf14">
<mml:math id="m14">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>), H<inline-formula id="inf15">
<mml:math id="m15">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> profile shift, shape, asymmetry, and <inline-formula id="inf16">
<mml:math id="m16">
<mml:msub>
<mml:mrow>
<mml:mi>M</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mi>O</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>i</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>. They determined that the primary eigenvector (Eigenvector 1 or EV1) derived from these properties was primarily characterized by the anti-correlation between Fe <sc>ii</sc> strength (specifically <inline-formula id="inf17">
<mml:math id="m17">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>, the ratio of EW(Fe <sc>ii</sc>) for the 4434-4684 &#xc5; blend to EW(H<inline-formula id="inf18">
<mml:math id="m18">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>) and [O <sc>iii</sc>]<inline-formula id="inf19">
<mml:math id="m19">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>5,007 strength. EV1 also showed significant correlations <inline-formula id="inf20">
<mml:math id="m20">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mo>&#x3e;</mml:mo>
<mml:mo stretchy="false">&#x7c;</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:mo stretchy="false">&#x7c;</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> with log <inline-formula id="inf21">
<mml:math id="m21">
<mml:mi>R</mml:mi>
</mml:math>
</inline-formula>, FWHM(H<inline-formula id="inf22">
<mml:math id="m22">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>), and H<inline-formula id="inf23">
<mml:math id="m23">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> profile asymmetry.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Left: Spectral decomposition (optical region) of a Type-1 Narrow-line Seyfert (NLS1) galaxy, SDSS J134704.91 &#x2b; 144137.6. The original spectrum is shown in light gray, the H<inline-formula id="inf24">
<mml:math id="m24">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> profile is fit with a Lorentzian function (solid black) and a blue-shifted outflowing component (solid grey), the fit to the H<inline-formula id="inf25">
<mml:math id="m25">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>-[O <sc>iii</sc>] complex is shown in dashed gray, and in green the Fe <sc>ii</sc> pseudocontinuum fit is shown. The shaded region highlights the Fe <sc>ii</sc> blend within 4,434&#x2013;4,684 &#xc5; used to estimate the Fe <sc>ii</sc> strength (wrt broad H<inline-formula id="inf26">
<mml:math id="m26">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>), i.e., <inline-formula id="inf27">
<mml:math id="m27">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>. The residua from the fit is shown in the bottom panel. Credit: <xref ref-type="bibr" rid="B104">Negrete et al. (2017)</xref>; Right: A Schematic diagram of the optical plane of Eigenvector 1. The solid horizontal line (turquoise) represents the threshold in FWHM(H<inline-formula id="inf28">
<mml:math id="m28">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>) at 4,000 km <inline-formula id="inf29">
<mml:math id="m29">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">s</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula>, which distinguishes between Population A and Population B sources (<xref ref-type="bibr" rid="B97">Marziani et al., 2018</xref>). The &#x201c;classical&#x201d; NLS1s are situated below the FWHM(H<inline-formula id="inf30">
<mml:math id="m30">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>) <inline-formula id="inf31">
<mml:math id="m31">
<mml:mo>&#x2272;</mml:mo>
</mml:math>
</inline-formula> 2,000 km <inline-formula id="inf32">
<mml:math id="m32">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">s</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula> mark (indicated by the dotted-dashed line). The vertical green line marks the boundary for <inline-formula id="inf33">
<mml:math id="m33">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> &#x3d; 1, which separates weak from strong Fe <sc>ii</sc> emitters, also known as xA sources. Credit: <xref ref-type="bibr" rid="B119">Panda et al. (2024a)</xref>, <xref ref-type="bibr" rid="B97">Marziani et al. (2018)</xref>.</p>
</caption>
<graphic xlink:href="fspas-11-1479874-g001.tif"/>
</fig>
<p>To interpret the PCA results, the authors identified several key parameters that could influence the observed properties: (1) the mass accretion rate, (2) the black hole (BH) mass, (3) the covering factor of the BLR clouds, (4) the degree of anisotropy in the emitted radiation from the continuum source, (5) the orientation of the source to the observer, (6) the velocity distribution of the BLR clouds, and (7) the ionization parameter.</p>
<p>To summarize, the paper by <xref ref-type="bibr" rid="B8">Boroson and Green (1992)</xref> is fundamental for two main reasons:</p>
<list list-type="simple">
<list-item>
<p>1. It is one of the first publications in AGN research to use principal component analysis (PCA) to explore the connections between the observed properties of quasars, particularly in the study of the Quasar Main Sequence (see right panel of <xref ref-type="fig" rid="F1">Figure 1</xref> for a recent rendition). This sequence unifies the diverse group of AGNs through Eigenvectors, specifically, Eigenvector 1, which shows an anti-correlation between the width of the optical Fe <sc>ii</sc> blend (4434-4684 &#xc5;) and the peak intensity of the forbidden [OIII]<inline-formula id="inf34">
<mml:math id="m34">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>5,007 &#xc5; line. The study also established a connection between the width of the broad H<inline-formula id="inf35">
<mml:math id="m35">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> emission and this eigenvector, forming the well-known &#x201c;Quasar Main Sequence&#x201d;, primarily driven by the Eddington ratio among other physical properties (e.g., <xref ref-type="bibr" rid="B164">Sulentic et al., 2000</xref>; <xref ref-type="bibr" rid="B158">Shen and Ho, 2014</xref>; <xref ref-type="bibr" rid="B97">Marziani et al., 2018</xref>; <xref ref-type="bibr" rid="B124">Panda et al., 2019c</xref>, and references therein).</p>
</list-item>
<list-item>
<p>2. For the first time, the paper constructed the Fe <sc>ii</sc> pseudo-continuum template from the optical spectrum of I Zw 1. This template has become widely used in analyzing the optical spectra of AGNs, facilitating the study of the Fe <sc>ii</sc> complex (<xref ref-type="bibr" rid="B136">Phillips, 1978a</xref>) both theoretically and observationally. It helped understand the excitation mechanisms (<xref ref-type="bibr" rid="B137">Phillips, 1978b</xref>; <xref ref-type="bibr" rid="B170">Verner et al., 1999</xref>) behind the thousands of spectral transitions from the UV to the NIR, transforming Fe <sc>ii</sc> from being considered a spectral contaminant to an evolution tracer and fundamental component of the BLR in AGNs (<xref ref-type="bibr" rid="B87">Marinello et al., 2016</xref>; <xref ref-type="bibr" rid="B97">Marziani et al., 2018</xref>; <xref ref-type="bibr" rid="B124">Panda et al., 2019c</xref>; <xref ref-type="bibr" rid="B93">Mart&#xed;nez-Aldama et al., 2021b</xref>; <xref ref-type="bibr" rid="B114">Panda, 2022</xref>).</p>
</list-item>
</list>
</sec>
<sec id="s1-2">
<title>1.2 The broad contextualization in the form of 4D Eigenvector 1</title>
<p>An advanced version of the Eigenvector 1 (EV1) schema was introduced by <xref ref-type="bibr" rid="B164">Sulentic et al. (2000)</xref>, incorporating additional parameters beyond the initial (1) FWHM of the broad component of H<inline-formula id="inf36">
<mml:math id="m36">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> and (2) the equivalent width ratio of the optical Fe <sc>ii</sc> blend (4,434&#x2013;4,684 &#xc5;) to broad H<inline-formula id="inf37">
<mml:math id="m37">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> (<inline-formula id="inf38">
<mml:math id="m38">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>). These new parameters include (3) the centroid shift at FWHM of the high ionization line C IV <inline-formula id="inf39">
<mml:math id="m39">
<mml:mi>&#x3bb;</mml:mi>
</mml:math>
</inline-formula>1,549, c(1/2), and (4) the soft X-ray photon index <inline-formula id="inf40">
<mml:math id="m40">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
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<mml:mrow>
<mml:mi mathvariant="normal">&#x393;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>soft</mml:mtext>
</mml:mrow>
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<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>. Simplified, these measures: (1) the extent of virialized motions in a low-ionization line-emitting accretion disk or a flattened cloud distribution, acting as a virial estimator of black hole mass (e.g., <xref ref-type="bibr" rid="B14">Collin-Souffrin et al., 1988</xref>; <xref ref-type="bibr" rid="B28">Dultzin-Hacyan et al., 1999</xref>; <xref ref-type="bibr" rid="B63">Joly et al., 2008</xref>) (2) the ionization and size of the BLR cloud, with the Fe <sc>ii</sc> emission strength (<inline-formula id="inf41">
<mml:math id="m41">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>) suggesting its origin near the accretion disk; (3) indicators of winds/outflows in high ionization broad line gas; and (4) thermal emission related to the accretion disk and SMBH accretion state (e.g., <xref ref-type="bibr" rid="B103">Mineshige et al., 2000</xref>; <xref ref-type="bibr" rid="B22">Done et al., 2012</xref>). We refer the readers to a comprehensive summary in <xref ref-type="bibr" rid="B97">Marziani et al. (2018)</xref>.</p>
<p>Accumulating evidence from subsequent studies, following <xref ref-type="bibr" rid="B8">Boroson and Green (1992)</xref>, indicates that EV1 correlations involve at least two principal independent parameters: (1) the source&#x2019;s bolometric luminosity (<inline-formula id="inf42">
<mml:math id="m42">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>bol</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>) and its black hole mass (<inline-formula id="inf43">
<mml:math id="m43">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">M</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>BH</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>), convolved with source orientation (<xref ref-type="bibr" rid="B100">Marziani et al., 2001</xref>; <xref ref-type="bibr" rid="B124">Panda et al., 2019c</xref>). These two parameters are succinctly expressed as the Eddington ratio (<inline-formula id="inf44">
<mml:math id="m44">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>bol</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Edd</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>).</p>
</sec>
<sec id="s1-3">
<title>1.3 Getting the &#x201c;bigger&#x201d; picture</title>
<p>The onset of the new century saw the rise of large spectroscopic surveys, such as the Sloan Digital Sky Survey (SDSS, <xref ref-type="bibr" rid="B180">York et al., 2000</xref>; <xref ref-type="bibr" rid="B159">Shen et al., 2011</xref>). These surveys revitalized EV1 studies and extended their applicability to much larger samples. <xref ref-type="bibr" rid="B158">Shen and Ho (2014)</xref> made significant strides with their seminal paper, utilizing data from over 20,000 spectroscopically observed SDSS quasars, analyzed using an automated spectral fitting pipeline (<xref ref-type="bibr" rid="B159">Shen et al., 2011</xref>). This study provided spectral parameters for a wide range of emission lines, as well as estimates for black hole masses and Eddington ratios. Leveraging this comprehensive dataset, Shen and Ho redefined the main sequence of quasars and concluded that (1) the average Eddington ratio increases from left to right on the sequence, and (2) the dispersion in FWHM(H<inline-formula id="inf45">
<mml:math id="m45">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>) at a fixed <inline-formula id="inf46">
<mml:math id="m46">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> is largely due to orientation effects (see also <xref ref-type="bibr" rid="B165">Sun and Shen, 2015</xref>). They proposed that quasar properties correlated with EV1 can be unified by variations in the average Eddington ratio of the accreting black hole, driven by systematic changes in the shape of the accretion disk continuum and its role in photoionizing the line-emitting regions.</p>
<p>More recently, the exploration of large samples has been extended to include sources from the Southern Hemisphere (<xref ref-type="bibr" rid="B13">Chen et al., 2018</xref>, and references therein), and the number of Type-1 AGNs, including strong Fe <sc>ii</sc>-emitting ones, has grown many folds with deeper surveys extending to fainter magnitudes (<xref ref-type="bibr" rid="B141">Rakshit et al., 2020</xref>; <xref ref-type="bibr" rid="B177">Wu and Shen, 2022</xref>; <xref ref-type="bibr" rid="B110">Paliya et al., 2024</xref>; <xref ref-type="bibr" rid="B119">Panda et al., 2024a</xref>). We are now at a stage where AGNs are frequently revisited and thus we also have a wealth of multi-epoch, multi-wavelength data for samples of AGNs. This has greatly helped to build samples of AGNs that demonstrate changes in their continuum and emission line properties - the Changing-Look AGNs (see recent compilations in <xref ref-type="bibr" rid="B128">Panda and &#x15a;niegowska, 2024</xref>; <xref ref-type="bibr" rid="B50">Guo et al., 2024</xref>; <xref ref-type="bibr" rid="B184">Zeltyn et al., 2024</xref>, and references therein), especially investigating the changes in the Fe <sc>ii</sc> emission in the context of the quasar main sequence (<xref ref-type="bibr" rid="B128">Panda and &#x15a;niegowska, 2024</xref>).</p>
<p>The paper is organized as follows: In <xref ref-type="sec" rid="s2">Section 2</xref>, we highlight some recent advances in the last decade on the studies with the quasar main sequence - Fe <sc>ii</sc> template creation and improvements, theoretical predictions, and advancements in photoionization modeling including some direct confirmations of long-standing hypotheses. We discuss the connection of the main sequence with one of the fundamental properties demonstrated by AGNs - Variability in <xref ref-type="sec" rid="s3">Section 3</xref>, especially in advancing our knowledge through techniques like reverberation mapping (RM), and the renewed interest in Changing-look/Changing-state AGNs. We then give a brief account of the present-day scenario of incorporating AGNs (and quasars) as <italic>standard(izable)</italic> candles and touch upon some relevant studies that have progressed in this direction. Finally, we conclude this mini-review with some closing remarks and perspective for the future in <xref ref-type="sec" rid="s4">Section 4</xref> with up-and-coming massive, multiplex surveys that will make things more intriguing.</p>
</sec>
</sec>
<sec id="s2">
<title>2 Quasar main sequence - current state and advances</title>
<p>In this section, we touch upon a few of the ongoing, interesting lines of research to improve our understanding of the main sequence of quasars.</p>
<sec id="s2-1">
<title>2.1 Generating Fe II templates</title>
<p>Owing to its complexity and uncertainties in transition probabilities and excitation mechanisms, the most successful approach to model the Fe <sc>ii</sc> emission in AGNs consists of deriving empirical templates from observations and supplementing the missing transitions with state-of-the-art radiative transfer models, e.g., CLOUDY (<xref ref-type="bibr" rid="B33">Ferland et al., 2017</xref>; <xref ref-type="bibr" rid="B11">Chatzikos et al., 2023</xref>). The templates thus derived using this methodology are referred to as semi-empirical. The work of <xref ref-type="bibr" rid="B74">Kova&#x10d;evi&#x107; et al. (2010)</xref> is seminal in this regard who provided the AGN community with an interface<xref ref-type="fn" rid="fn2">
<sup>1</sup>
</xref> to create Fe <sc>ii</sc> templates by combining the Fe <sc>ii</sc> transitions from theoretical expectations and those revealed in the spectrum of the prototypical Fe <sc>ii</sc>-emitter, I Zw 1. Their methodology involves the knowledge of the temperature of the ionized cloud responsible for the Fe <sc>ii</sc> emission, information on the dynamics of the Fe <sc>ii</sc> profile in the observed spectrum, and intensities of the strongest Fe <sc>ii</sc> multiplets collected in three groups (<inline-formula id="inf47">
<mml:math id="m47">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">b</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula> F, <inline-formula id="inf48">
<mml:math id="m48">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">a</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula> S, and <inline-formula id="inf49">
<mml:math id="m49">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">a</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula> G). Their semi-empirical templates have been applied to large samples of AGNs, and demonstrated to provide convincing results. All except one went back to the I Zw 1 - in the optical (e.g., <xref ref-type="bibr" rid="B171">V&#xe9;ron-Cetty et al., 2004</xref>; <xref ref-type="bibr" rid="B95">Marziani et al., 2021a</xref>), in the UV (e.g., <xref ref-type="bibr" rid="B172">Vestergaard and Wilkes, 2001</xref>; <xref ref-type="bibr" rid="B9">Bruhweiler and Verner, 2008</xref>; <xref ref-type="bibr" rid="B168">Tsuzuki et al., 2006</xref>). The exception happened more recently with the HST/STIS observations for Mrk 493 (<xref ref-type="bibr" rid="B131">Park et al., 2022</xref>) which has narrower lines, lower reddening, and a less extreme Eddington ratio value than I Zw 1, therefore, can be applied to a larger population of Type-1 AGNs with intrinsically lower Fe <sc>ii</sc> emission (<xref ref-type="bibr" rid="B158">Shen and Ho, 2014</xref>; <xref ref-type="bibr" rid="B117">Panda et al., 2018</xref>). These templates also allow us to infer the velocity information of the Fe <sc>ii</sc> emission, a key aspect constraining the geometry and kinematics of the Fe <sc>ii</sc> emitting region in the BLR. Studies (<xref ref-type="bibr" rid="B57">Hu et al., 2008</xref>; <xref ref-type="bibr" rid="B35">Ferland et al., 2009</xref>; <xref ref-type="bibr" rid="B75">Kovacevic-Dojcinovic and Popovic, 2015</xref>) have suggested that the Fe <sc>ii</sc> emission originates from a location different from, and most likely exterior to, the region that produces most of H<inline-formula id="inf50">
<mml:math id="m50">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>. These observational findings were confirmed through the analysis of emissivity profiles of AGNs using photoionization modeling (<xref ref-type="bibr" rid="B117">Panda et al., 2018</xref>; <xref ref-type="bibr" rid="B160">Sniegowska et al., 2020</xref>) and studies of Fe <sc>ii</sc> time-lags relative to the H<inline-formula id="inf51">
<mml:math id="m51">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> in samples of AGNs using reverberation mapping (<xref ref-type="bibr" rid="B4">Barth et al., 2013</xref>; <xref ref-type="bibr" rid="B41">Gaskell et al., 2022</xref>).</p>
<p>In recent years, there has been noteworthy development to improve the atomic datasets available for iron emission, with updated radiative and electron collisional rates, and include higher levels (up to 716) and energies as high as 26.4 eV. We refer the readers to <xref ref-type="bibr" rid="B153">Sarkar et al. (2021)</xref> for an overview of these datasets and their performance within the spectral synthesis code, CLOUDY.</p>
</sec>
<sec id="s2-2">
<title>2.2 Fe <sc>ii</sc> spectral synthesis and inferring the BLR cloud properties</title>
<p>Over the years after Boroson and Green put forward their findings from the Eigenvector 1, the expected parameters that should influence the observed correlation in the quasar main sequence have been looked at, albeit separately. Notable among them are (i) the Fe <sc>ii</sc> emission model developed in <xref ref-type="bibr" rid="B170">Verner et al. (1999)</xref> with 371 atomic levels producing 13,157 (permitted) emission lines with the highest energy level of <inline-formula id="inf52">
<mml:math id="m52">
<mml:mo>&#x223c;</mml:mo>
</mml:math>
</inline-formula>11.6 eV; (ii) study by <xref ref-type="bibr" rid="B2">Baldwin et al. (2004)</xref> which were among the first to suggest the importance of microturbulence (<inline-formula id="inf53">
<mml:math id="m53">
<mml:mo>&#x2273;</mml:mo>
</mml:math>
</inline-formula>100 km <inline-formula id="inf54">
<mml:math id="m54">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">s</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula>)- the intra-cloud pressure broadening in the broad-line emitting region (BELR) clouds, to explain both the observed shape and equivalent width of the Fe <sc>ii</sc> emission. We note that the findings in Baldwin et al. were confined to the UV regime to recover the 2,200&#x2013;2,800 &#xc5; Fe <sc>ii</sc> bump feature. They also suggested the need to include higher metal abundances in the BELR clouds to recover the observed Fe <sc>ii</sc> intensities, confirming the earlier results from observations by, e.g., <xref ref-type="bibr" rid="B52">Hamann and Ferland (1993)</xref>, (<xref ref-type="bibr" rid="B53">1999</xref>); <xref ref-type="bibr" rid="B20">Dietrich et al. (2003)</xref>; (iii) the need to have higher mean densities and column densities in the BELR clouds via numerical modeling to recover the Fe <sc>ii</sc> pseudocontinuum behavior, still in the UV regime, was suggested in the paper by Bruhweiler and Verner, who re-affirmed the importance of the microturbulence in the BELR.</p>
<p>In more recent years, a clearer picture of the Fe <sc>ii</sc> emission, especially in the optical region, linking to the quasar main sequence has been achieved. There is a growing consensus that the main sequence of quasars, earlier thought to be primarily driven by the Eddington ratio, is in reality, dependent on a combination of parameters of the underlying accretion disk and the BELR clouds <xref ref-type="bibr" rid="B117">Panda et al. (2018)</xref>, <xref ref-type="bibr" rid="B118">2019a</xref>,<xref ref-type="bibr" rid="B124">c</xref>. These parameters are: (1) Eddington ratio, (2) BH mass; (3) shape of the ionizing continuum (SED); (4) BLR density; (5) BLR metallicity; (6) velocity distribution of the BLR clouds (including microturbulence); (7) source&#x2019;s orientation; and (8) BLR cloud sizes (see <xref ref-type="bibr" rid="B112">Panda, 2021a</xref>). The 8-dimensional parameter space was first presented by <xref ref-type="bibr" rid="B124">Panda et al. (2019c)</xref>, and extended by <xref ref-type="bibr" rid="B125">Panda et al. (2020b)</xref> wherein through large grids of photoionization models with CLOUDY and massive observational spectroscopic catalogs (<xref ref-type="bibr" rid="B159">Shen et al., 2011</xref>; <xref ref-type="bibr" rid="B141">Rakshit et al., 2020</xref>) the inherent trends along the main sequence have been confirmed. This almost completes the circle initiated with the hypotheses in <xref ref-type="bibr" rid="B8">Boroson and Green (1992)</xref> although more progress is needed, from observational and theoretical aspects. This multi-dimensional parameterization includes the viewing angle to the source (or orientation), which is constrained for a small fraction of the AGNs, especially those that show strong radio &#x201c;jetted&#x201d; emissions (see, e.g., <xref ref-type="bibr" rid="B109">Padovani et al., 2017</xref>, for an overview) or strong water masers (<xref ref-type="bibr" rid="B105">Neufeld et al., 1994</xref>; <xref ref-type="bibr" rid="B47">Greenhill et al., 2003</xref>). For the remaining sources, the viewing angle is estimated indirectly - through dynamical modeling (<xref ref-type="bibr" rid="B111">Pancoast et al., 2011</xref>; <xref ref-type="bibr" rid="B82">Li et al., 2013</xref>; <xref ref-type="bibr" rid="B176">Williams et al., 2018</xref>; <xref ref-type="bibr" rid="B81">Li et al., 2024</xref>), through polarization studies of the emission lines (<xref ref-type="bibr" rid="B154">Savi&#x107; et al., 2018</xref>; <xref ref-type="bibr" rid="B59">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="B162">&#x15a;niegowska et al., 2023</xref>; <xref ref-type="bibr" rid="B64">Jose et al., 2024</xref>), or broad-band SED modeling (<xref ref-type="bibr" rid="B178">Yang et al., 2020</xref>; <xref ref-type="bibr" rid="B94">Mart&#xed;nez-Ram&#xed;rez et al., 2024</xref>). The knowledge of the viewing angle is crucial since it can be combined with the spatial and velocity distribution of BELR clouds and their location from the central ionizing source, to estimate the black hole mass of the source. The methodology presented by <xref ref-type="bibr" rid="B125">Panda et al. (2020b)</xref> is powerful and acts in dual-purpose - for sources with known orientation and spectroscopically measured Fe <sc>ii</sc> emission, it can allow to constrain the BLR density and metallicity. On the other hand, through observed UV diagnostics if the BLR density and metallicity can be inferred (in addition to the Fe <sc>ii</sc> emission), one can recover the orientation angle of the source. The methodology, at present, includes the state-of-the-art broad-band SEDs presented in <xref ref-type="bibr" rid="B124">Panda et al. (2019c)</xref> and <xref ref-type="bibr" rid="B34">Ferland et al. (2020)</xref>, while the BH mass, Eddington ratio, velocity distributions and line intensities are from the SDSS QSO catalogs (<xref ref-type="bibr" rid="B159">Shen et al., 2011</xref>; <xref ref-type="bibr" rid="B141">Rakshit et al., 2020</xref>) for observed AGNs, and can be refined with future multi-wavelength campaigns. Recent works by <xref ref-type="bibr" rid="B129">Pandey et al. (2023</xref>, <xref ref-type="bibr" rid="B130">2024)</xref> have extended these results with new, and up-to-date Fe <sc>ii</sc> atomic datasets and accounting for dust within the BLR. Additionally, using these new datasets, <xref ref-type="bibr" rid="B18">Dias dos Santos et al. (2023</xref>, <xref ref-type="bibr" rid="B19">2024)</xref> have probed into the Fe <sc>ii</sc> emission in the NIR regime with the added advantage of transitions being isolated and less in number relative to the optical and UV.</p>
<p>In another recent work (<xref ref-type="bibr" rid="B36">Floris et al., 2024</xref>), we performed a multi-component analysis on the strongest UV and optical emission lines and using <inline-formula id="inf55">
<mml:math id="m55">
<mml:mo>&#x223c;</mml:mo>
</mml:math>
</inline-formula>10 metal content diagnostic ratios that reveal a systematic progression in metallicity, ranging from sub-solar values to several times higher than solar values. This notable finding was a result of a series of papers (<xref ref-type="bibr" rid="B161">&#x15a;niegowska et al., 2021</xref>; <xref ref-type="bibr" rid="B39">Garnica et al., 2022</xref>; <xref ref-type="bibr" rid="B98">Marziani et al., 2024</xref>) wherein a robust recipe of estimating metallicity and other physical parameters in highly-accreting Type-1 AGNs were developed. These results confirm the theoretical predictions made by <xref ref-type="bibr" rid="B124">Panda et al. (2019c)</xref> where the increase in the metal content was noted as a key factor that proportionally led to an increase in the Fe <sc>ii</sc> emission along the main sequence.</p>
<p>There are multiple studies predating the aforementioned papers that have paved the way to our current understanding of the Fe <sc>ii</sc> emission and we recommend the readers to the detailed accounts by, e.g., <xref ref-type="bibr" rid="B164">Sulentic et al. (2000)</xref>; <xref ref-type="bibr" rid="B100">Marziani et al. (2001)</xref>; <xref ref-type="bibr" rid="B183">Zamfir et al. (2010)</xref>; <xref ref-type="bibr" rid="B23">D&#x2019;Onofrio et al. (2012)</xref>; <xref ref-type="bibr" rid="B158">Shen and Ho (2014)</xref>; <xref ref-type="bibr" rid="B163">Sulentic and Marziani (2015)</xref>; <xref ref-type="bibr" rid="B97">Marziani et al. (2018)</xref>; <xref ref-type="bibr" rid="B41">Gaskell et al. (2022)</xref>; <xref ref-type="bibr" rid="B122">Panda and Marziani (2023a)</xref>.</p>
</sec>
<sec id="s2-3">
<title>2.3 Developing AGN SEDs along the main sequence</title>
<p>The shape of the ionizing continuum has been an integral part of the main sequence of quasars studies. Around the same time as Boroson and Green, researchers were already developing mean AGN SEDs (<xref ref-type="bibr" rid="B169">Vanden Berk et al., 2001</xref>; <xref ref-type="bibr" rid="B143">Richards et al., 2006</xref>), be it to distinguish the sources based on radio dichotomy (<xref ref-type="bibr" rid="B79">Laor et al., 1997</xref>) and more recently in <xref ref-type="bibr" rid="B95">Marziani et al. (2021a)</xref> or to reveal the prominence of the big blue bump feature in typical Type-1 AGNs (<xref ref-type="bibr" rid="B101">Mathews and Ferland, 1987</xref>; <xref ref-type="bibr" rid="B73">Korista et al., 1997</xref>). With the advent of large spectroscopic surveys spearheaded by SDSS (<xref ref-type="bibr" rid="B180">York et al., 2000</xref>; <xref ref-type="bibr" rid="B159">Shen et al., 2011</xref>) AGNs exhibiting stronger Fe <sc>ii</sc> emission alike I Zw 1 were being consistently discovered and led to the creation of a mean SED representing Narrow-line Seyfert 1 galaxies (<xref ref-type="bibr" rid="B99">Marziani and Sulentic, 2014</xref>). We now have broad-band mean SEDs grouped in Eddington ratios ranging from sub-to super-Eddington limits (<xref ref-type="bibr" rid="B62">Jin et al., 2012</xref>; <xref ref-type="bibr" rid="B60">2017</xref>; <xref ref-type="bibr" rid="B34">Ferland et al., 2020</xref>). Although these mean SEDs have helped provide statistical inferences on the role of AGN SED in the main sequence trends, having broad-band SED for individual AGNs is a much more recent endeavor that has seen growth. With the increase in simultaneous observations across multiple spectral regimes and the development of self-consistent AGN SED models (<xref ref-type="bibr" rid="B22">Done et al., 2012</xref>; <xref ref-type="bibr" rid="B76">Kubota and Done, 2018</xref>; <xref ref-type="bibr" rid="B77">2019</xref>; <xref ref-type="bibr" rid="B51">Hagen and Done, 2023</xref>), the number of individual sources with broad-band SEDs is growing at a rapid pace, especially for sources demonstrating the most intense Fe <sc>ii</sc> emission (<xref ref-type="bibr" rid="B88">Marinello et al., 2020</xref>; <xref ref-type="bibr" rid="B61">Jin et al., 2023</xref>). Another important extension in the area of SED building is the slim disk AGN SED models (<xref ref-type="bibr" rid="B1">Abramowicz et al., 1988</xref>; <xref ref-type="bibr" rid="B174">Wang et al., 2014</xref>; <xref ref-type="bibr" rid="B123">Panda and Marziani, 2023b</xref>) applicable to those sources accreting at or above the Eddington limit, that show signatures of strong outflows even in the low-ionization emitting regions (e.g., <xref ref-type="bibr" rid="B149">Rodr&#xed;guez-Ardila et al., 2024</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 QMS and AGN variability</title>
<p>Another equally important finding was the discovery of the variation in the intensities of emission lines over timescales of weeks to months, suggesting very small emitting regions of the order of a few thousand Schwarzschild radii (<xref ref-type="bibr" rid="B48">Greenstein and Schmidt, 1964</xref>). This region is now well-known as the broad-line region (BLR). This crucial discovery opened up a new sub-field called reverberation mapping (RM), which has led to the estimation of black hole masses in hundreds of low-to high-luminosity Seyferts and quasars (<xref ref-type="bibr" rid="B7">Blandford and McKee, 1982</xref>; <xref ref-type="bibr" rid="B132">Peterson, 1988</xref>; <xref ref-type="bibr" rid="B133">1993</xref>; <xref ref-type="bibr" rid="B134">Peterson et al., 2004</xref>), supplemented by single/multi-epoch spectroscopy (<xref ref-type="bibr" rid="B66">Kaspi et al., 2000</xref>; <xref ref-type="bibr" rid="B6">Bentz et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Du et al., 2016</xref>). The BLR&#x2019;s location (<inline-formula id="inf56">
<mml:math id="m56">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>BLR</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>) is closely related to the continuum properties of the underlying accretion disk, with luminosity being the primary observable quantity (<xref ref-type="bibr" rid="B65">Kaspi et al., 2005</xref>, and references therein). Subsequent studies, such as <xref ref-type="bibr" rid="B6">Bentz et al. (2013)</xref>, refined the H<inline-formula id="inf57">
<mml:math id="m57">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula>-based <inline-formula id="inf58">
<mml:math id="m58">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
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<mml:mrow>
<mml:mtext>BLR</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> - <inline-formula id="inf59">
<mml:math id="m59">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
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<mml:mrow>
<mml:mn>5100</mml:mn>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> (or R-L) relation by including more sources and removing the host galaxy&#x2019;s contribution from the total luminosity. Increased monitoring of archival and newer sources has revealed a significant scatter from the empirical R-L relation (<xref ref-type="bibr" rid="B24">Du et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Grier et al., 2017</xref>; <xref ref-type="bibr" rid="B90">Mart&#xed;nez-Aldama et al., 2019</xref>; <xref ref-type="bibr" rid="B26">Du and Wang, 2019</xref>; <xref ref-type="bibr" rid="B121">Panda et al., 2019b</xref>). This scatter indicates a subset of sources with relatively high luminosities (log <inline-formula id="inf60">
<mml:math id="m60">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>5100</mml:mn>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> &#x3d; 43.0, in erg <inline-formula id="inf61">
<mml:math id="m61">
<mml:msup>
<mml:mrow>
<mml:mi mathvariant="normal">s</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:math>
</inline-formula>) that exhibit shorter time lags and thus shorter <inline-formula id="inf62">
<mml:math id="m62">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
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<mml:mrow>
<mml:mtext>BLR</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> than expected. Recent studies suggest that this scatter may be linked to the accretion rate, providing corrections to the empirical relation based on observables that trace the accretion rate, such as the strength of the optical Fe <sc>ii</sc> emission (<xref ref-type="bibr" rid="B26">Du and Wang, 2019</xref>; <xref ref-type="bibr" rid="B114">Panda, 2022</xref>; <xref ref-type="bibr" rid="B122">Panda and Marziani, 2023a</xref>).</p>
<p>On the other hand, the complexity in the modeling and extracting Fe <sc>ii</sc> emission from the spectra has led many to search for viable alternatives. Most prominent among the proxy is the Ca <sc>ii</sc> triplet (or CaT) in the NIR given the similarity of the physical conditions required to produce the two ionic species in the BLR (<xref ref-type="bibr" rid="B120">Panda et al., 2020a</xref>; <xref ref-type="bibr" rid="B113">Panda, 2021b</xref>). In an ongoing series of works (<xref ref-type="bibr" rid="B91">Mart&#xed;nez-Aldama et al., 2015</xref>; <xref ref-type="bibr" rid="B87">Marinello et al., 2016</xref>; <xref ref-type="bibr" rid="B120">Panda et al., 2020a</xref>; <xref ref-type="bibr" rid="B93">Mart&#xed;nez-Aldama et al., 2021b</xref>), we have compiled optical Fe <sc>ii</sc> and NIR CaT emission strengths and weighed them against each other. We find a robust correlation between the two (<xref ref-type="bibr" rid="B91">Mart&#xed;nez-Aldama et al., 2015</xref>; <xref ref-type="bibr" rid="B120">Panda et al., 2020a</xref>) primarily driven by the Eddington ratio and in parts to the BH mass (<xref ref-type="bibr" rid="B93">Mart&#xed;nez-Aldama et al., 2021b</xref>). This led us to investigate whether CaT can be a viable replacement for the strength of the Fe <sc>ii</sc> emission (or <inline-formula id="inf63">
<mml:math id="m63">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>) in the R-L relation (<xref ref-type="bibr" rid="B92">Mart&#xed;nez-Aldama et al., 2021a</xref>). Although the current sample statistics are small in the NIR regime, the spurt of high-quality AGN spectra with the JWST and other ground-based facilities is promising.</p>
<sec id="s3-1">
<title>3.1 Changing-look AGNs and our renewed interest in them</title>
<p>Changing-look AGNs have been known for almost as long as the main sequence existed (see recent review by <xref ref-type="bibr" rid="B72">Komossa et al., 2024</xref>; <xref ref-type="bibr" rid="B142">Ricci and Trakhtenbrot, 2023</xref>). The spectral changes over multiple epochs have now been detected in numerous AGNs - be it extreme variability with the changes in the continuum and emission lines so strong that can be associated with external interference such as obscuration or tidal disruption events (<xref ref-type="bibr" rid="B78">LaMassa et al., 2015</xref>; <xref ref-type="bibr" rid="B21">Dodd et al., 2023</xref>; <xref ref-type="bibr" rid="B167">Trakhtenbrot et al., 2019</xref>), but could very well be associated with intrinsic effects such as disk transition/disk instabilities (<xref ref-type="bibr" rid="B106">Noda and Done, 2018</xref>; <xref ref-type="bibr" rid="B150">Ross et al., 2018</xref>; <xref ref-type="bibr" rid="B160">Sniegowska et al., 2020</xref>) although, the timescales of such events can be widely different (<xref ref-type="bibr" rid="B15">Czerny, 2006</xref>).</p>
<p>With the growing interest in finding new changing-look AGNs, the focus has been also to look for AGNs showing variations in their Fe <sc>ii</sc> emission (see, e.g., <xref ref-type="bibr" rid="B41">Gaskell et al., 2022</xref>; <xref ref-type="bibr" rid="B135">Petrushevska et al., 2023</xref>). The regular variable nature of AGNs has helped to gain insights into their emitting regions, with some sources where we have estimates of their Fe <sc>ii</sc>-emitting locations (see, e.g., <xref ref-type="bibr" rid="B56">Hu et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Barth et al., 2013</xref>) although there are now instances of exceptional changes in the Fe <sc>ii</sc> intensities. <xref ref-type="bibr" rid="B128">Panda and &#x15a;niegowska (2024)</xref> made a compilation of such sources and tracked their transition along the Eigenvector 1 schema and categorized sources that either stay within the same population (A or B, see right panel of <xref ref-type="fig" rid="F1">Figure 1</xref>) or make an inter-population movement as a function of spectral epoch.</p>
</sec>
<sec id="s3-2">
<title>3.2 New avenues in reverberation mapping: BLR saturation and Fe <sc>ii</sc>-based R-L relations</title>
<p>In addition to Changing-look AGNs, dedicated spectro-photometric monitoring campaigns on individual sources (e.g., Mrk 6, NGC 5548, NGC 4151, NGC 4051), have allowed us to re-affirm the Pronik-Chuvaev effect, i.e., the increase, albeit with a gradual saturation, in the H<inline-formula id="inf64">
<mml:math id="m64">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> emitting luminosity with increasing AGN continuum (<xref ref-type="bibr" rid="B140">Pronik and Chuvaev, 1972</xref>; <xref ref-type="bibr" rid="B173">Wang et al., 2005</xref>; <xref ref-type="bibr" rid="B156">Shapovalova et al., 2008</xref>; <xref ref-type="bibr" rid="B40">Gaskell et al., 2021</xref>) and more recently in <xref ref-type="bibr" rid="B115">Panda et al. (2022)</xref>; <xref ref-type="bibr" rid="B116">2023a</xref>. This assists in building the R-L relation for individual epochs and gaining insights into the temporal behavior of the line-emitting BLR relative to the continuum (<xref ref-type="bibr" rid="B185">Zu et al., 2011</xref>; <xref ref-type="bibr" rid="B84">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="B32">Feng et al., 2024</xref>) although studies to reveal the temporal behavior specifically in Fe <sc>ii</sc> are needed to complement the H<inline-formula id="inf65">
<mml:math id="m65">
<mml:mi>&#x3b2;</mml:mi>
</mml:math>
</inline-formula> behavior in these AGNs.</p>
<p>Another interesting revelation has been the construction of the first Fe <sc>ii</sc> UV R-L relation in <xref ref-type="bibr" rid="B182">Zaja&#x10d;ek et al. (2024b)</xref>. Here, in addition to improving the existing Mg <sc>ii</sc>-based R-L with 194 sources [more recent compilation in <xref ref-type="bibr" rid="B157">Shen et al. (2024)</xref>], we have been able to constrain the R-L behavior in UV-emitting Fe <sc>ii</sc> for 5 AGNs. The results are motivating as the slope of the R-L is in close agreement with one expected from the standard photoionization theory (i.e., &#x3d; 0.5). Although it is interesting to note that this relation appears steeper than the Mg <sc>ii</sc> R-L relations such that for low-luminosity regimes, the Fe <sc>ii</sc> emitting region is closer than the Mg <sc>ii</sc>-emitting region, whereas, at higher luminosities, both relations converge and intersect. This intriguing behaviour needs more explanation which the upcoming RM campaigns may have an answer to. We note that the optical Fe <sc>ii</sc>-based R-L relation has been around for some time (see <xref ref-type="bibr" rid="B41">Gaskell et al., 2022</xref>, for a recent review). A recent compilation of 17 AGNs (including multiple epoch Fe <sc>ii</sc> time lag measurements) from <xref ref-type="bibr" rid="B139">Prince et al. (2023)</xref> reveals an R-L for the optical Fe <sc>ii</sc> with a slope close to 0.5, and the comparison with the aforementioned UV-based R-L reveals an offset by a factor of 1.8, i.e., the optical Fe <sc>ii</sc> emitting regions are located 1.8 times further out relative to the UV Fe <sc>ii</sc> regions.</p>
</sec>
<sec id="s3-3">
<title>3.3 Quasars for cosmology: role of the main sequence</title>
<p>Quasars, with their extragalactic origin and persistent bright nature, have long been proposed as &#x201c;standardizable candles&#x201d;. With the knowledge of their luminosities (with the aid of the RM and R-L relation) and independently of their fluxes from spectroscopic monitoring, we can determine the luminosity distances of these sources. With a growing number of AGNs (now <inline-formula id="inf66">
<mml:math id="m66">
<mml:mo>&#x2273;</mml:mo>
</mml:math>
</inline-formula>200, <xref ref-type="bibr" rid="B182">Zaja&#x10d;ek et al., 2024b</xref>; <xref ref-type="bibr" rid="B157">Shen et al., 2024</xref>) where we have such estimates, then allows us to prepare a Hubble diagram - stretching the redshift regime to higher ranges as compared to what we can achieve with other indicators, e.g., Cepheids, Tip of the Red Giant Branch (TRGB), and Type-1a Supernovae (SNIa). We can then scrutinize the various, existing cosmological models, in addition to gauging the performance of quasars to existing indicators, allowing us to link the cosmological measurements from the early Universe (e.g., <xref ref-type="bibr" rid="B138">Planck Collaboration et al., 2020</xref>) to the measurements from the late Universe (e.g., Cepheids, SNIa, and TRGBs; <xref ref-type="bibr" rid="B145">Riess et al., 1998</xref>; <xref ref-type="bibr" rid="B144">Riess et al., 2019</xref>; <xref ref-type="bibr" rid="B38">Freedman et al., 2019</xref>).</p>
<p>However, the recent detection of shorter lags in R-L linked to high-accreting sources (<xref ref-type="bibr" rid="B24">Du et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Grier et al., 2017</xref>; <xref ref-type="bibr" rid="B25">Du et al., 2016</xref>) has put the use of R-L relation into uncertainty. In <xref ref-type="bibr" rid="B90">Mart&#xed;nez-Aldama et al. (2019)</xref>, we looked into the dispersion in the R-L and upon further investigation found the extent of offset of the source&#x2019;s time-lag is proportional to the Eddington ratio (or more specifically its mass accretion rate). While this helped &#x201c;standardize&#x201d; the R-L relation, there remained a circularity problem - the mass accretion rate needs the knowledge of luminosity <italic>apriori</italic>, and the latter can be estimated assuming a cosmological model. This defeats the purpose of using quasars for cosmology and thus, requires us to find a direct observable parameter that can replace the mass accretion rate. What can be that? In Du and Wang (2019), the authors found that the Fe <sc>ii</sc> strength (or <inline-formula id="inf67">
<mml:math id="m67">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>) is a viable alternative to the mass accretion rate (as has been noted in earlier works of <xref ref-type="bibr" rid="B97">Marziani et al., 2018</xref>; <xref ref-type="bibr" rid="B124">Panda et al., 2019c</xref>) and can correct the dispersion in the R-L. This <inline-formula id="inf68">
<mml:math id="m68">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>-dependent R-L relation has hence been tested and confirmed in other works (<xref ref-type="bibr" rid="B114">Panda, 2022</xref>; <xref ref-type="bibr" rid="B122">Panda and Marziani, 2023a</xref>). Other empirical relations notably the <inline-formula id="inf69">
<mml:math id="m69">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>X</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> - <inline-formula id="inf70">
<mml:math id="m70">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>UV</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> relation, are proposed as a viable alternative to the R-L relation (<xref ref-type="bibr" rid="B147">Risaliti and Lusso, 2015</xref>; <xref ref-type="bibr" rid="B148">2019</xref>) although there are subtle differences between the two relations and their inferences. Yet another methodology has been proposed, i.e., with the aid of the existing correlation between the luminosity and the velocity distribution of the BELR (<xref ref-type="bibr" rid="B27">Dultzin et al., 2020</xref>; <xref ref-type="bibr" rid="B96">Marziani et al., 2021b</xref>), equivalent to the original formulation of the Faber-Jackson law (<xref ref-type="bibr" rid="B31">Faber and Jackson, 1976</xref>). We refer the readers to <xref ref-type="bibr" rid="B122">Panda and Marziani (2023a)</xref> for more details.</p>
<p>In a parallel direction, efforts to reconcile the use of quasars along with other distance indicators, e.g., SNIa, Gamma-ray bursts, Baryon Acoustic Oscillations, and temperature anisotropy across the microwave background, have been made including the <inline-formula id="inf71">
<mml:math id="m71">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>Fe&#x2009;II</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> parameter for the quasar-based R-L relations (<xref ref-type="bibr" rid="B10">Cao et al., 2022</xref>; <xref ref-type="bibr" rid="B68">Khadka et al., 2023</xref>; <xref ref-type="bibr" rid="B16">Dainotti et al., 2023</xref>). Other systematics, such as dust extinction can contribute to and reconcile the observed difference between the R-L and <inline-formula id="inf72">
<mml:math id="m72">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>X</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> - <inline-formula id="inf73">
<mml:math id="m73">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>UV</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> relation (<xref ref-type="bibr" rid="B181">Zaja&#x10d;ek et al., 2024a</xref>). As we enter into the discussions around Hubble-Lema&#xee;tre law and the <inline-formula id="inf74">
<mml:math id="m74">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">H</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> tension, a key to resolving this is better measurements of cosmological distances. VLT/GRAVITY has opened up avenues to probe the angular sizes of the BLR in nearby AGNs using high-resolution spectroastrometry (<xref ref-type="bibr" rid="B42">Gravity Collaboration et al., 2018</xref>; <xref ref-type="bibr" rid="B43">Gravity Collaboration et al., 2020</xref>; <xref ref-type="bibr" rid="B44">Gravity Collaboration et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Gravity Collaboration et al., 2024</xref>). These angular sizes can be combined with the BLR linear sizes (the latter estimated using the RM technique) to give the parallax distance to these AGNs. The technique was originally conceived in <xref ref-type="bibr" rid="B29">Elvis and Karovska (2002)</xref> although thanks to the recent interferometric measurements by GRAVITY coupled with their long-term RM monitoring campaign, <xref ref-type="bibr" rid="B175">Wang et al. (2020)</xref> have been able to estimate, for the first time, a <inline-formula id="inf75">
<mml:math id="m75">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">H</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula> value using this joint analysis with AGNs. Ongoing improvements with GRAVITY (see, e.g., <xref ref-type="bibr" rid="B107">Nowak et al., 2024</xref>) will allow the compilation of a sizable sample of AGNs extending to z <inline-formula id="inf76">
<mml:math id="m76">
<mml:mo>&#x223c;</mml:mo>
</mml:math>
</inline-formula> two where the spectroastrometric-RM (or, SARM) technique can be applied to build the Hubble diagram for quasars. This however requires the knowledge of the BLR properties that are neatly tied to the quasar main sequence which positively affect the accuracy of the estimation of the cosmological distances to these cosmic objects.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Closing remarks and future perspective</title>
<p>Fe <sc>ii</sc> emission has been long perceived as a contaminant in the AGN spectra and ways to remove this contamination were sought to enable study and reliable extraction of other emission line properties. The emission turned out to be so useful that a niche of studies linking to the Fe <sc>ii</sc> emission was proposed and expanded. To date, the studies stemming from the Fe <sc>ii</sc> analysis have crucial contributions in developing our understanding of the line-emitting regions in the BLR leading up to the standardization of quasar-based scaling relations. This mini-review cannot do justice to the enormous literature about the study of Fe <sc>ii</sc> emission and its link to the quasar main sequence. Yet, we have tried to touch upon some key aspects in this short overview. We are already in the data-driven astronomy era with multiple facilities working in cohesion, to reveal more connections to the quasar main sequence.</p>
<p>Finally, we glance upon some recent avenues that will have a direct impact on the ongoing studies:<list list-type="simple">
<list-item>
<p>
<inline-formula id="inf77">
<mml:math id="m77">
<mml:mo>&#x2022;</mml:mo>
</mml:math>
</inline-formula> Ongoing and upcoming spectroscopic surveys such as JWST (<xref ref-type="bibr" rid="B146">Rigby et al., 2023</xref>), MSE (<xref ref-type="bibr" rid="B89">Marshall et al., 2019</xref>), WST (<xref ref-type="bibr" rid="B85">Mainieri et al., 2024</xref>), 4MOST (<xref ref-type="bibr" rid="B17">de Jong et al., 2019</xref>) are going to help reveal intriguing Fe <sc>ii</sc> signatures in low-luminosity regimes and distant quasars, e.g., JWST ASPIRE (and references therein <xref ref-type="bibr" rid="B179">Yang et al., 2023</xref>) showing high Fe <sc>ii</sc> emitting AGNs beyond the cosmic noon; putting into question the prevalence of heavy metals in such early epochs. Additionally, Additionally, the first couple of years of observations with JWST has revealed the numerous faint, broad-line AGN at z <inline-formula id="inf78">
<mml:math id="m78">
<mml:mo>&#x3e;</mml:mo>
</mml:math>
</inline-formula> 5 (<xref ref-type="bibr" rid="B108">Onoue et al., 2023</xref>; <xref ref-type="bibr" rid="B71">Kocevski et al., 2023</xref>; <xref ref-type="bibr" rid="B54">Harikane et al., 2023</xref>; <xref ref-type="bibr" rid="B102">Matthee et al., 2024</xref>; <xref ref-type="bibr" rid="B86">Maiolino et al., 2023</xref>; <xref ref-type="bibr" rid="B80">Larson et al., 2023</xref>; <xref ref-type="bibr" rid="B46">Greene et al., 2024</xref>). A significant fraction of them (<inline-formula id="inf79">
<mml:math id="m79">
<mml:mo>&#x223c;</mml:mo>
</mml:math>
</inline-formula>20%) show a steep red continuum in the rest-frame optical region, in addition to being relatively bluer in the UV (<xref ref-type="bibr" rid="B71">Kocevski et al., 2023</xref>; <xref ref-type="bibr" rid="B54">Harikane et al., 2023</xref>; <xref ref-type="bibr" rid="B102">Matthee et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Greene et al., 2024</xref>; <xref ref-type="bibr" rid="B69">Killi et al., 2023</xref>) giving the appearance of a &#x201c;V-shape&#x201d; in the SEDs for these intriguing objects. These sources, also known as &#x201c;little red dots&#x201d; (LRDs, <xref ref-type="bibr" rid="B102">Matthee et al., 2024</xref>; <xref ref-type="bibr" rid="B70">Kocevski et al., 2024</xref>), and while the prominent broad emission lines (i.e., Balmer lines) are relatively easier to deblend. Their profiles can be fitted even under moderate spectral quality, while complex emissions like the Fe <sc>ii</sc> would require future deeper observations to check their location on the main sequence of quasars to reveal their nature and chemical history at such redshifts.</p>
</list-item>
<list-item>
<p>
<inline-formula id="inf80">
<mml:math id="m80">
<mml:mo>&#x2022;</mml:mo>
</mml:math>
</inline-formula> On the other hand, the large-scale photometric surveys (e.g., ZTF: <xref ref-type="bibr" rid="B5">Bellm et al., 2019</xref>, LSST; <xref ref-type="bibr" rid="B58">Ivezi&#x107; et al., 2019</xref>, Euclid; <xref ref-type="bibr" rid="B30">Euclid Collaboration et al., 2022</xref>) will identify newer AGNs, and combined with the wide-area spectroscopic surveys will allow constraining the Fe <sc>ii</sc> contribution and improve our understanding of the various mechanisms involved in Fe <sc>ii</sc> production across UV-optical-NIR regime, especially dealing with time-lag recovery and extracting broad-band SED for tens of hundreds of AGNs across a wide range of redshifts (see <xref ref-type="bibr" rid="B126">Panda et al., 2023b</xref>, for a recent review).</p>
</list-item>
<list-item>
<p>
<inline-formula id="inf81">
<mml:math id="m81">
<mml:mo>&#x2022;</mml:mo>
</mml:math>
</inline-formula> With the LSST about to begin its decade-long survey, the use of meter-class ground-based facilities in cohesion with such massive surveys will be pertinent (<xref ref-type="bibr" rid="B12">Chelouche et al., 2019</xref>; <xref ref-type="bibr" rid="B127">Panda et al., 2024b</xref>); narrow-band filters will allow optimizing the lag-recovery by mitigating spectral windows with contamination. While, the use of traditional and machine-learning techniques are going to be integral for target selection from erstwhile surveys (<xref ref-type="bibr" rid="B3">Baron, 2019</xref>; <xref ref-type="bibr" rid="B152">S&#xe1;nchez-S&#xe1;ez et al., 2021</xref>; <xref ref-type="bibr" rid="B83">L&#xf3;pez-Navas et al., 2022</xref>; <xref ref-type="bibr" rid="B162">&#x15a;niegowska et al., 2023</xref>).</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Author contributions</title>
<p>SP: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s6">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. SP acknowledges the financial support of the Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico (CNPq) Fellowships 300936/2023-0 and 301628/2024-6. SP is supported by the international Gemini Observatory, a program of NSF NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the U.S. National Science Foundation, on behalf of the Gemini partnership of Argentina, Brazil, Canada, Chile, the Republic of Korea, and the United States of America.</p>
</sec>
<ack>
<p>This mini-review has been made possible thanks to many past and ongoing collaborations; I would like to thank Bo&#x17c;ena Czerny, Paola Marziani, Alberto Rodr&#xed;guez Ardila, Mary Loli Mart&#xed;nez-Aldama, Murilo Marinello, Marzena &#x15a;niegowska, Francisco Pozo-Nu&#xf1;ez, Michal Zaja&#x10d;ek, Edi and Nata&#x161;a Bon, Szymon Koz&#x142;owski and many others for their invaluable support, constant motivation and fruitful discussions. I am grateful to the organizers of the &#x201c;Frontiers in Astronomy and Space Sciences: A Decade of Discovery and Advancement - 10th Anniversary Conference&#x201d; for the invitation to write this mini-review.</p>
</ack>
<sec sec-type="COI-statement" id="s7">
<title>Conflict of interest</title>
<p>The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn id="fn2">
<label>1</label>
<p>
<ext-link ext-link-type="uri" xlink:href="http://servo.aob.rs/FeII_AGN/">http://servo.aob.rs/FeII_AGN/</ext-link>
</p>
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