Galaxy-Multiplet Clustering from DESI DR2
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2025
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| author | Wang, Hanyue Eisenstein, Daniel J. Aguilar, Jessica Nicole Ahlen, Steven Bianchi, Davide Brooks, David Claybaugh, Todd de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Ferraro, Simone Font-Ribera, Andreu Forero-Romero, Jaime E. Gaztañaga, Enrique Gutierrez, Gaston Honscheid, Klaus Ishak, Mustapha Joyce, Richard Juneau, Stephanie Kirkby, David Kisner, Theodore Kremin, Anthony Lahav, Ofer Lamman, Claire Landriau, Martin Manera, Marc Meisner, Aaron Miquel, Ramon Mueller, Eva-Maria Nadathur, Seshadri Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will J. Prada, Francisco Pérez-Ràfols, Ignasi Ross, Ashley J. Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Silber, Joseph Harry Sprayberry, David Tarlé, Gregory Weaver, Benjamin Alan Zhou, Rongpu Zou, Hu |
| author_facet | Wang, Hanyue Eisenstein, Daniel J. Aguilar, Jessica Nicole Ahlen, Steven Bianchi, Davide Brooks, David Claybaugh, Todd de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Ferraro, Simone Font-Ribera, Andreu Forero-Romero, Jaime E. Gaztañaga, Enrique Gutierrez, Gaston Honscheid, Klaus Ishak, Mustapha Joyce, Richard Juneau, Stephanie Kirkby, David Kisner, Theodore Kremin, Anthony Lahav, Ofer Lamman, Claire Landriau, Martin Manera, Marc Meisner, Aaron Miquel, Ramon Mueller, Eva-Maria Nadathur, Seshadri Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will J. Prada, Francisco Pérez-Ràfols, Ignasi Ross, Ashley J. Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Silber, Joseph Harry Sprayberry, David Tarlé, Gregory Weaver, Benjamin Alan Zhou, Rongpu Zou, Hu |
| contents | We present an efficient estimator for higher-order galaxy clustering using small groups of nearby galaxies, or multiplets. Using the Luminous Red Galaxy (LRG) sample from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2, we identify galaxy multiplets as discrete objects and measure their cross-correlations with the general galaxy field. Our results show that the multiplets exhibit stronger clustering bias as they trace more massive dark matter halos than individual galaxies. When comparing the observed clustering statistics with the mock catalogs generated from the N-body simulation AbacusSummit, we find that the mocks underpredict multiplet clustering despite reproducing the galaxy two-point auto-correlation reasonably well. This discrepancy indicates that the standard Halo Occupation Distribution (HOD) model is insufficient to describe the properties of galaxy multiplets, revealing the greater constraining power of this higher-order statistic on galaxy-halo connection and the possibility that multiplets are specific to additional assembly bias. We demonstrate that incorporating secondary biases into the HOD model improves agreement with the observed multiplet statistics, specifically by allowing galaxies to preferentially occupy halos in denser environments. Our results highlight the potential of utilizing multiplet clustering, beyond traditional two-point correlation measurements, to break degeneracies in models describing the galaxy-dark matter connection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_15354 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Galaxy-Multiplet Clustering from DESI DR2 Wang, Hanyue Eisenstein, Daniel J. Aguilar, Jessica Nicole Ahlen, Steven Bianchi, Davide Brooks, David Claybaugh, Todd de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Ferraro, Simone Font-Ribera, Andreu Forero-Romero, Jaime E. Gaztañaga, Enrique Gutierrez, Gaston Honscheid, Klaus Ishak, Mustapha Joyce, Richard Juneau, Stephanie Kirkby, David Kisner, Theodore Kremin, Anthony Lahav, Ofer Lamman, Claire Landriau, Martin Manera, Marc Meisner, Aaron Miquel, Ramon Mueller, Eva-Maria Nadathur, Seshadri Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will J. Prada, Francisco Pérez-Ràfols, Ignasi Ross, Ashley J. Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Silber, Joseph Harry Sprayberry, David Tarlé, Gregory Weaver, Benjamin Alan Zhou, Rongpu Zou, Hu Cosmology and Nongalactic Astrophysics We present an efficient estimator for higher-order galaxy clustering using small groups of nearby galaxies, or multiplets. Using the Luminous Red Galaxy (LRG) sample from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2, we identify galaxy multiplets as discrete objects and measure their cross-correlations with the general galaxy field. Our results show that the multiplets exhibit stronger clustering bias as they trace more massive dark matter halos than individual galaxies. When comparing the observed clustering statistics with the mock catalogs generated from the N-body simulation AbacusSummit, we find that the mocks underpredict multiplet clustering despite reproducing the galaxy two-point auto-correlation reasonably well. This discrepancy indicates that the standard Halo Occupation Distribution (HOD) model is insufficient to describe the properties of galaxy multiplets, revealing the greater constraining power of this higher-order statistic on galaxy-halo connection and the possibility that multiplets are specific to additional assembly bias. We demonstrate that incorporating secondary biases into the HOD model improves agreement with the observed multiplet statistics, specifically by allowing galaxies to preferentially occupy halos in denser environments. Our results highlight the potential of utilizing multiplet clustering, beyond traditional two-point correlation measurements, to break degeneracies in models describing the galaxy-dark matter connection. |
| title | Galaxy-Multiplet Clustering from DESI DR2 |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2511.15354 |