1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments

Canducci, Marco; Petra, Awad,; Taghribi, Abolfazl; Mohammadi, Mohammad; Rijcke, S. De; Peletier, R. F.; Smith, R. J. E.; Bunte, Kerstin; Tiňo, Peter

doi:10.1016/j.ascom.2022.100658

Cited by 6 publications

(8 citation statements)

References 76 publications

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“…The methodologies explained in Sections 3.1 through 3.5 have first been presented and their individual function analyzed extensively in the corresponding papers mentioned at the beginning of Section 3. In Canducci et al (2022a), we have shown how the methods could be coherently combined such that the output of one serves as input for another, to detect and subsequently model astronomical structures. The application versatility of different combinations of the algorithms have been demonstrated in that contribution based on three astrophysical examples: the tails of a jellyfish galaxy, a cosmic filament, and the stellar streams of Omega Centauri.…”

Section: Methods Discussionmentioning

confidence: 99%

“…In this section we provide a brief overview of the five algorithms introduced in this work and refer the reader to a detailed methodological explanation of the cumulative toolbox in Canducci et al (2022a) and to the individual papers where each algorithm was first introduced. As a reference to the different algorithms we explain the purpose of each one first and then move on to describing how each one operates.…”

Section: General Formalismmentioning

confidence: 99%

“…To limit this dependence on the radius, EM3A implements methods from evolutionary game theory by representing a range of calculated radii as evolutionary strategies and afterwards trying to compute the "fittest" strategy between them. We refer the reader to Canducci et al (2022a) and Mohammadi et al (2022) for a more detailed description of the algorithm.…”

Section: Em3amentioning

confidence: 99%

“…In this work, we explore the toolbox 1-DREAM recently introduced in Astronomy & Computing in Canducci et al (2022a). The toolbox consists of five main algorithms for the extraction and modelling of 1-dimensional astronomical structures.…”

Section: Introductionmentioning

confidence: 99%

“…In Canducci et al (2022a) the five algorithms were presented as a coherent publicly available 1 framework, and the functionality of the toolbox was briefly demonstrated on three examples namely: a simulated jellyfish galaxy, a cosmic filament, and the tidal tail of Omega Centauri. The aim of the current work is to explore the proposed toolbox more thoroughly when applied specifically to N-body cosmological data sets of the Cosmic Web.…”

Section: Introductionmentioning

confidence: 99%

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Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure

Petra¹,

Peletier²,

Canducci³

et al. 2023

Preprint

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The distribution of galaxies and clusters of galaxies on the mega-parsec scale of the Universe follows an intricate pattern now famously known as the Large-Scale Structure or the Cosmic Web. To study the environments of this network, several techniques have been developed that are able to describe its properties and the properties of groups of galaxies as a function of their environment. In this work we analyze the previously introduced framework: 1-Dimensional Recovery, Extraction, and Analysis of Manifolds (1-DREAM) on N-body cosmological simulation data of the Cosmic Web. The 1-DREAM toolbox consists of five Machine Learning methods, whose aim is the extraction and modelling of 1-dimensional structures in astronomical big data settings. We show that 1-DREAM can be used to extract structures of different density ranges within the Cosmic Web and to create probabilistic models of them. For demonstration, we construct a probabilistic model of an extracted filament and move through the structure to measure properties such as local density and velocity. We also compare our toolbox with a collection of methodologies which trace the Cosmic Web. We show that 1-DREAM is able to split the network into its various environments with results comparable to the state-of-the-art methodologies. A detailed comparison is then made with the public code DisPerSE, in which we find that 1-DREAM is robust against changes in sample size making it suitable for analyzing sparse observational data, and finding faint and diffuse manifolds in low density regions.

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Section: Methods Discussionmentioning

confidence: 99%

Section: General Formalismmentioning

confidence: 99%

Section: Em3amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure

Petra¹,

Peletier²,

Canducci³

et al. 2023

Preprint

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Radio continuum tails in ram pressure-stripped spiral galaxies: Experimenting with a semi-empirical model in Abell 2255

Ignesti¹,

Vulcani²,

Botteon³

et al. 2023

A&A

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Context. Wide-field radio continuum observations of galaxy clusters are revealing an increasing number of spiral galaxies hosting tens of kiloparsec-length radio tails produced by the displacement of nonthermal interstellar medium (ISM) by ram pressure. Aims. We present a semi-empirical model for the multifrequency radio continuum emission from ram-pressure-stripped tails based on the pure synchrotron cooling of a radio plasma moving along the stripping direction with a uniform velocity. Methods. We combine LOFAR and uGMRT observations at 144 and 400 MHz to study the flux density and spectral index profiles of the radio tails of seven galaxies in Abell 2255, and use the model to reproduce the flux density and spectral index profiles, and infer the stripped radio plasma velocity. Results. For five out of these seven galaxies, we observe a monotonic decrease in both flux density and spectral index up to 30 kpc from their stellar disk. Our model reproduces the observed trends with a projected radio plasma bulk velocity of between 160 and 430 km s−1. This result represents the first indirect measurement of the stripped, nonthermal ISM velocity. The observed spectral index trends indicate that the synchrotron cooling is faster than the adiabatic expansion losses, suggesting that the stripped radio plasma can survive for a few tens of million years outside of the stellar disk. This provides a lower limit on the lifetime of the stripped ISM outside of the disk. As a proof of concept, we use the best-fit velocities to constrain the 3D velocity of the galaxies in the cluster to be in the range of 300−1300 km s−1. We estimate the ram pressure affecting these galaxies to be between 0.1 and 2.9 × 10−11 erg cm−3, and measure the inclination between their stellar disk and the ram pressure wind.

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Swarming in stellar streams: Unveiling the structure of the Jhelum stream with ant colony-inspired computation

Awad,

Canducci,

Balbinot

et al. 2024

A&A

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The halo of the Milky Way galaxy hosts multiple dynamically coherent substructures known as stellar streams that are remnants of tidally disrupted orbiting systems such as globular clusters (GCs) and dwarf galaxies (DGs). A particular case is that of the Jhelum stream, which is known for its unusual and complex morphology. Using the available data from the Gaia DR3 catalog, we extracted a region on the sky that contains Jhelum, and fine-tuned this selection by enforcing limits on the magnitude and proper motion of the selected stars. We then applied the novel Locally Aligned Ant Technique (LAAT) on the position and proper motion space of stars belonging to the selected region to highlight the stars that are closely aligned with a local manifold in the data and the stars belonging to regions of high local density. We find that the overdensity representing the stream in proper motion space is composed of two components, and show the correspondence of these two signals to the previously reported narrow and broad spatial components of Jhelum. We then made use of the radial velocity measurements provided by the $S^5$ survey and confirm, for the first time, a separation between the stars belonging to the two components in radial velocity. We show that the narrow and broad components have velocity dispersions of $4.84^ $ km/s and $19.49^ $ km/s, and metallicity dispersions of $0.15^ $ and $0.34^ $, respectively. These measurements, as well as the given difference in component widths, could be explained with a probable scenario where Jhelum is the remnant of a GC embedded within a DG and where both were accreted onto the Milky Way during their infall. Although the properties of Jhelum could be explained with this merger scenario, other progenitors of the narrow component remain possible such as a nuclear star cluster or a DG. To rule these possibilities out, we would need more observational data of member stars of the stream. Our analysis shows that the internal structure of streams holds great information on their past formation history, and therefore provides further insight into the merger history of the Milky Way.

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1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments

Cited by 6 publications

References 76 publications

Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure

Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure

Radio continuum tails in ram pressure-stripped spiral galaxies: Experimenting with a semi-empirical model in Abell 2255

Swarming in stellar streams: Unveiling the structure of the Jhelum stream with ant colony-inspired computation

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