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<ri:Resource created="2026-03-24T11:01:11Z" status="active" updated="2026-04-02T06:28:33Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>ALMAGAL VI. Spatial distribution of cores</title><shortName>J/A+A/707/A221</shortName><identifier>ivo://CDS.VizieR/J/A+A/707/A221</identifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Schisano E.</name></creator><creator><name>Molinari S.</name></creator><creator><name>Coletta A.</name></creator><creator><name>Elia D.</name></creator><creator><name>Schilke P.</name></creator><creator><name>Traficante A.,Sanchez-Monge A.</name></creator><creator><name>Beuther H.</name></creator><creator><name>Benedettini M.</name></creator><creator><name>Mininni C.</name></creator><creator><name>Klessen R.S.,Soler J.D.</name></creator><creator><name>Nucara A.</name></creator><creator><name>Pezzuto S.</name></creator><creator><name>van der Tak F.</name></creator><creator><name>Hennebelle P.,Beltran M.T.</name></creator><creator><name>Moscadelli L.</name></creator><creator><name>Rygl K.L.J.</name></creator><creator><name>Sanhueza P.</name></creator><creator><name>Koch P.M.</name></creator><creator><name>Lis D.C.,Kuiper R.</name></creator><creator><name>Fuller G.A.</name></creator><creator><name>Avison A.</name></creator><creator><name>Bronfman L.</name></creator><creator><name>Lebreuilly U.</name></creator><creator><name>Moller T.,Liu T.</name></creator><creator><name>Pelkonen V.-M.</name></creator><creator><name>Testi L.</name></creator><creator><name>Zhang Q.</name></creator><creator><name>Zhang T.</name></creator><creator><name>Ahmadi A.</name></creator><creator><name>Allande J.,Battersby C.</name></creator><creator><name>Wallace J.</name></creator><creator><name>Brogan C.L.</name></creator><creator><name>Clarke S.</name></creator><creator><name>De Angelis F.</name></creator><creator><name>Fontani F.,Ho P.T.P.</name></creator><creator><name>Hunter T.R.</name></creator><creator><name>Jones B.</name></creator><creator><name>Johnston K.G.</name></creator><creator><name>Klaassen P.D.</name></creator><creator><name>Liu S.J.,Liu S.-Y.</name></creator><creator><name>Maruccia Y.</name></creator><creator><name>Rigby A.J.</name></creator><creator><name>Su Y.-N.</name></creator><creator><name>Tang Y.</name></creator><creator><name>Walch S.,Zinnecker H.</name></creator><date role="Updated">2026-04-02T06:28:33Z</date><date role="Created">2026-03-24T11:01:11Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>interferometry</subject><subject>millimeter-astronomy</subject><subject>submillimeter-astronomy</subject><description>High-mass stars and star clusters form from the fragmentation of massive dense clumps driven by gravity, turbulence and magnetic fields. The extent to which each of these agents impacts the fragmentation depending on the clump mass, density and evolutionary stage is still largely unknown. The ALMAGAL project,with ~1000 clumps observed at ~1000 au resolution, allows a statistically significant characterization of the fragmentation process over a large range of clump physical parameters and evolutionary stages. Our goal is to characterize where and how the dense cores revealed by ALMA are distributed in massive potentially cluster-forming clumps to trace how fragmentation is initially set and how it proceeds before gas dispersal due to stellar feedback. We characterized the spatial distribution of dense cores in the 514 ALMAGAL clumps that host at least 4 cores, using a set of quantitative descriptors that we evaluated against the clump bolometric luminosity-to-mass ratio, which we adopted as an indicator of the evolution of the system. We measured the separations between cores with the minimum spanning tree method (MST), which we compared with the predictions of gravitational fragmentation from Jeans theory. We investigated whether cores have specific arrangements using the Q-parameter or variations due to their masses with the mass segregation ratio, {Lambda}_MSR_. ALMAGAL cores are distributed throughout the entire area of the clump, usually arranged in elliptical groups with an axis ratio e~2.2, although high values with e=&gt;5 are also observed. We found a single characteristic core separation per clump in ~76% of cases, suggesting that multiple fragmentation lengths may be frequently present. Typical core separations are compatible with the clump-averaged thermal Jeans length, lambda^th^_J_. However, we found an additional population of cores, typical of low-fragmented and young clumps, which are on average more widely separated with l =~ 3*{lambda}^th^_J_. By stacking the distributions of the core separations in clumps of similar evolutionary stage, we also found that the separation decreases on average from l~22000 au in younger systems to l~7000 au in more evolved ones. The ALMAGAL cores are typically distributed in fractal-type subclusters, while centrally concentrated patterns appear only at later stages, but we do not observe a progressive transition between these configurations with evolution. Finally, we also found 110 ALMAGAL systems with a signature of mass segregation, with an occurrence that increases with evolution.</description><source format="bibcode">2026A&amp;A...707A.221S</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/707/A221</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJ/950/148">J/ApJ/950/148 : ASHES. IX. 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Modal of the KDE-derived distribution of projected linear core separations (lmode) (2)</description><unit>AU</unit><ucd>pos.distance;stat.mean;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>l1</name><description>? Inner edge at 68% peak-intensity of the KDE-derived distribution (l1) (2)</description><unit>AU</unit><ucd>pos.distance;stat.value;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>l2</name><description>? Outer edge at 68% peak-intensity of the KDE-derived distribution (l2) (2)</description><unit>AU</unit><ucd>pos.distance;stat.value;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column></table><table><name>J/A+A/707/A221/table6</name><description>Diagnostics of spatial statistics in clumps</description><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Name</name><description>ALMAGAL target name (AGLLL.llll+B.bbbb) (Name)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="17*">char</dataType></column><column><name>Ncores</name><description>Number of cores (Ncores)</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Q</name><description>The Q parameter (Qpar) (1)</description><ucd>phys.size.radius;stat.mean;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>MeanEdge</name><description>Mean edge length of cluster MST called m (MeanEdge) (1)</description><ucd>phys.size.radius;stat.mean;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>ScorLen</name><description>Cluster correlation length called s (ScorLen) (1)</description><ucd>phys.size.radius;stat.mean;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>NLamCrit</name><description>? Number of cores at the maximum of the MS ratio profile (NLamCrit) (2)</description><ucd>meta.number;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>LamPeak</name><description>? Peak value {Lambda}^max^_MSR_ of the MS ratio profile (LamPeak) (2)</description><ucd>pos.distance;arith.ratio;stat.max</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>NLamPeak</name><description>? Highest number of cores in MS ratio profile greater than unity (NLamPeak) (2)</description><ucd>meta.number;meta.modelled</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>MSI</name><description>Mass segregation integral I^MSR^_{lambda}_ for MSR profile comparisons of different systems defined by Xu et al. (2024ApJS..270....9X, Cat. J/ApJS/270/9) (MSI)</description><ucd>pos.distance;arith.ratio;stat.mean</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>f_MSI</name><description>Mass segregation (MS) flag (MSFlag) (3)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="10*">char</dataType></column><column><name>Prob1</name><description>? Probability of direct MS in Monte Carlo runs (Prob1) (4)</description><ucd>stat.probability</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Prob2</name><description>? Probability of inverse MS in Monte Carlo runs (Prob2) (4)</description><ucd>stat.probability</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column></table></schema></tableset></ri:Resource>