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arxiv: 2605.21598 · v1 · pith:47XQTOZKnew · submitted 2026-05-20 · 🌌 astro-ph.GA

Advancing the detection of low surface brightness galaxies. I. ATTILA: multi-tAsking deTecTIon tool for Lsb gAlaxies

E. Borsato , F. Fonzo , N. Bellucco , E. Iodice , E. M. Corsini , M. Spavone , S. Pasquato , C. Buttitta
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M. Cantiello M. D'Onofrio M. Gullieuszik A. La Marca A. Moretti A. Nucita M. Paolillo A. Pizzella E. Portaluri C. Tortora
This is my paper

Pith reviewed 2026-05-22 09:07 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords ultra-diffuse galaxieslow surface brightness galaxiesHydra I clusterautomated detectionVST VEGAS surveySersic profilescluster membership
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The pith

A new tool named ATTILA doubles the known ultra-diffuse galaxies in the Hydra I cluster by recovering more faint low-surface-brightness sources than standard methods.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops and tests ATTILA, an automated Python tool that combines tiling, source detection, iterative deblending, and Sersic profile fitting to locate and characterize low-surface-brightness galaxies and ultra-diffuse galaxy candidates in deep imaging. Applied to VST VEGAS data of the Hydra I cluster, it identifies 24 previously unknown UDGs, bringing the total to 48, plus 92 additional LSB galaxies, while recovering more than 80 percent of already-known LSB objects and raising the automated detection rate. A sympathetic reader would care because UDGs sit at the extreme end of the galaxy size-luminosity distribution and their true numbers in clusters test models of galaxy formation and halo-mass scaling relations; a more complete census therefore directly affects how we interpret the faint end of the galaxy population.

Core claim

ATTILA improves detection of faint and diffuse sources by tiling the images, performing source detection, and applying iterative deblending to reduce blending and contamination. When run on the central Hydra I field and three additional fields, it yields 24 new UDG candidates that satisfy the size and surface-brightness criteria, doubling the previously known population to 48 objects whose abundance matches expectations from halo-mass scaling relations. The same run adds 92 further LSB galaxies and recovers more than 80 percent of objects already catalogued in the literature, outperforming standard automated pipelines on real data.

What carries the argument

ATTILA, the multi-tasking detection pipeline that tiles images, detects sources, iteratively deblends them, fits surface-brightness profiles, and assigns cluster membership via the early-type galaxy colour-magnitude relation.

If this is right

  • A more complete LSB and UDG census becomes possible in other clusters observed to similar depth.
  • The observed UDG count now aligns with expectations from halo-mass scaling relations for the Hydra I cluster mass.
  • Automated detection rates for faint diffuse objects rise substantially compared with conventional pipelines.
  • Blending and contamination effects are reduced, allowing cleaner structural-parameter measurements for the faintest sources.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same tiling-plus-iterative-deblending approach could be adapted to upcoming wide-field surveys to increase the yield of UDGs at higher redshifts.
  • If the method maintains its recovery fraction in less dense fields, it would allow direct comparison of UDG abundance between cluster and field environments without large selection biases.

Load-bearing premise

Cluster membership is determined using the early-type galaxies colour-magnitude relation, which is assumed to cleanly separate true Hydra I members from background or foreground contaminants without significant misclassification.

What would settle it

Spectroscopic redshifts for the 24 new UDG candidates that place a majority outside the Hydra I velocity range would show that the colour-magnitude membership cut misclassifies interlopers and inflate the reported doubling of the UDG population.

Figures

Figures reproduced from arXiv: 2605.21598 by A. La Marca, A. Moretti, A. Nucita, A. Pizzella, C. Buttitta, C. Tortora, E. Borsato, E. Iodice, E. M. Corsini, E. Portaluri, F. Fonzo, M. Cantiello, M. D'Onofrio, M. Gullieuszik, M. Paolillo, M. Spavone, N. Bellucco, S. Pasquato.

Figure 1
Figure 1. Figure 1: VST fields covering the Hydra I cluster. The cluster core [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The galaxy LSB 82 detected by ATTILA (left panel) and its corresponding segmentation map adopting a deblending contrast [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: ATTILA source identification pipeline. Blue boxes cor [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Schematic overview of the analysis process of the LSB galaxy candidate LSB 82. Panel a): The segmentation map and mask [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Color–magnitude distribution of LSB galaxies in the Hydra I cluster. The top panel shows the Gaussian kernel density [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
read the original abstract

Context. Ultra-diffuse galaxies (UDGs) lie at the extreme end of the size-luminosity distribution of low surface-brightness (LSB) galaxies. Their detection and characterization require deep imaging and reliable source detection techniques that can handle low signal-to-noise ratios and severe source blending. Aims. We aim at improving the detection and characterization of the LSB galaxies and UDG candidates in different environments. To this end, we have developed a new automated detection Python-based tool, named ATTILA. Methods. We use deep g- and r-band imaging from the VST Early-type GAlaxy Survey (VEGAS), covering the central region of Hydra I and three new additional fields. Sources are identified combining tiling processing, source detection, and iterative deblending. The structural parameters are derived through surface brightness profile analysis and S\'ersic modelling. Cluster membership is determined using the early-type galaxies colour-magnitude relation. Results. We identify 24 new UDGs, doubling the known population in the Hydra-I cluster to 48, consistent with expectations from halo mass scaling relations, and 92 additional LSB galaxies. In real data, ATTILA recovers more than 80% of previously known LSB galaxies and significantly improves the automated detection rate relative to standard methods. Conclusions. By improving the recovery of faint and diffuse sources while mitigating blending and contamination effects, ATTILA enables a more complete census of the LSB galaxy population, including UDGs.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript introduces ATTILA, a Python-based multi-tasking detection tool for low surface brightness (LSB) galaxies and ultra-diffuse galaxies (UDGs). Applied to deep g- and r-band VEGAS imaging of the Hydra I cluster (plus three additional fields), the tool combines tiling, source detection, iterative deblending, surface-brightness profile analysis, and Sérsic modelling. Cluster membership is assigned via the early-type galaxy colour-magnitude relation. The authors report 24 new UDGs (doubling the known Hydra I population to 48, consistent with halo-mass scaling relations), 92 additional LSB galaxies, >80% recovery of previously known LSB sources, and a significant improvement in automated detection rate relative to standard methods.

Significance. If the performance claims and membership assignments hold, ATTILA offers a practical advance in automated LSB/UDG detection for crowded, low-S/N fields, supporting more complete censuses in clusters and tests of galaxy-formation models. The reported doubling of the Hydra I UDG population would be a notable empirical result if robust against contamination.

major comments (2)
  1. [Abstract / Results] Abstract and Results: The central claim of 24 new cluster UDGs (doubling the population to 48) rests on membership assignment using the early-type galaxy colour-magnitude relation. For low-S/N, diffuse sources this locus may not cleanly separate true members from background interlopers, given larger photometric errors and possible stellar-population differences; no quantitative contamination estimate or alternative membership test (e.g., spectroscopy or photometric redshift) is provided, directly affecting the doubling claim and the consistency statement with halo-mass scaling relations.
  2. [Results] Results: Recovery statistics (>80% of known LSB galaxies) and the improvement over standard methods are stated without error bars, without a full description of the deblending parameters, and without detailed validation against simulated or injected sources, preventing a quantitative assessment of the claimed performance gain.
minor comments (1)
  1. [Abstract] The abstract refers to 'three new additional fields' but the quantitative results focus exclusively on Hydra I; a brief statement of the scope and any findings from the extra fields would improve clarity.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments, which have helped clarify several aspects of our work. We address each major comment below and have revised the manuscript to strengthen the presentation of our methods and results.

read point-by-point responses

  1. Referee: [Abstract / Results] Abstract and Results: The central claim of 24 new cluster UDGs (doubling the population to 48) rests on membership assignment using the early-type galaxy colour-magnitude relation. For low-S/N, diffuse sources this locus may not cleanly separate true members from background interlopers, given larger photometric errors and possible stellar-population differences; no quantitative contamination estimate or alternative membership test (e.g., spectroscopy or photometric redshift) is provided, directly affecting the doubling claim and the consistency statement with halo-mass scaling relations.

    Authors: We agree that the colour-magnitude relation provides only a statistical membership criterion and that photometric uncertainties are larger for low-S/N diffuse sources. In the revised manuscript we have added a quantitative contamination estimate obtained by propagating the observed photometric errors through the CMR selection window and comparing with the expected background galaxy density in the colour-magnitude plane. This yields an estimated interloper fraction of order 15-20 percent, which we now discuss explicitly when presenting the doubling of the UDG population and its consistency with halo-mass scaling relations. Spectroscopic or photometric-redshift confirmation is not available in the current imaging dataset; we have added a statement highlighting this limitation and the value of future follow-up observations. revision: yes

  2. Referee: [Results] Results: Recovery statistics (>80% of known LSB galaxies) and the improvement over standard methods are stated without error bars, without a full description of the deblending parameters, and without detailed validation against simulated or injected sources, preventing a quantitative assessment of the claimed performance gain.

    Authors: We have revised the text to include binomial error bars on the reported recovery fraction. A more detailed description of the iterative deblending parameters (including the adopted thresholds and convergence criteria) has been added to the Methods section. The primary validation presented is the recovery rate of previously catalogued real sources in the Hydra I field. While a comprehensive suite of source-injection simulations was not performed for this work, we have inserted a short discussion of preliminary injection tests and explicitly note that a full simulation-based efficiency study is planned for a follow-up paper; the real-data recovery remains the central demonstration of ATTILA’s practical performance. revision: partial

Circularity Check

0 steps flagged

No circularity: results follow from direct application of detection pipeline to external imaging

full rationale

The paper develops ATTILA as a source-detection and deblending pipeline, applies it to VEGAS g/r imaging of Hydra I, and assigns membership via the standard early-type galaxy colour-magnitude relation. No equation or step defines a quantity in terms of itself, renames a fitted parameter as a prediction, or relies on a load-bearing self-citation whose content is unverified. The reported recovery rate (>80 % of known LSB galaxies) and new detections are direct outputs of the pipeline on independent data; cluster membership is an external assumption, not a self-derived result. The derivation chain is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Review based on abstract only; central claim rests on standard domain assumptions for galaxy profile fitting and cluster membership assignment rather than new postulates.

axioms (2)
  • domain assumption The colour-magnitude relation for early-type galaxies accurately identifies cluster members
    Invoked to assign membership to the newly detected UDGs and LSB galaxies.
  • domain assumption Sersic profiles provide an adequate description of the light distribution of LSB galaxies
    Used to derive structural parameters after source detection.

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Works this paper leans on

300 extracted references · 300 canonical work pages · 93 internal anchors

  1. [1]

    The Fornax Deep Survey with the VST. XII. Low surface brightness dwarf galaxies in the Fornax cluster. , keywords =. doi:10.1051/0004-6361/202141756 , adsurl =

    work page doi:10.1051/0004-6361/202141756

  2. [2]

    arXiv e-prints , keywords =

    The Vera Rubin Observatory Legacy Survey of Space and Time and the Low Surface Brightness Universe. arXiv e-prints , keywords =. doi:10.48550/arXiv.2001.11067 , archivePrefix =. 2001.11067 , primaryClass =

    work page doi:10.48550/arxiv.2001.11067 2001

  3. [3]

    Euclid space mission: a cosmological challenge for the next 15 years

    Euclid space mission: a cosmological challenge for the next 15 years. Statistical Challenges in 21st Century Cosmology , year = 2014, editor =. doi:10.1017/S1743921314011089 , archivePrefix =. 1501.04908 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1017/s1743921314011089 2014

  4. [4]

    ProFound: Source Extraction and Application to Modern Survey Data

    ProFound: Source Extraction and Application to Modern Survey Data. , keywords =. doi:10.1093/mnras/sty440 , archivePrefix =. 1802.00937 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty440

  5. [5]

    Noise Based Detection and Segmentation of Nebulous Objects

    Noise-based Detection and Segmentation of Nebulous Objects. , keywords =. doi:10.1088/0067-0049/220/1/1 , archivePrefix =. 1505.01664 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0067-0049/220/1/1

  6. [6]

    2015 IEEE International Conference on Image Processing (ICIP) , year = 2015, month = sep, eid =

    Improving background estimation for faint astronomical object detection. 2015 IEEE International Conference on Image Processing (ICIP) , year = 2015, month = sep, eid =. doi:10.1109/ICIP.2015.7350959 , adsurl =

    work page doi:10.1109/icip.2015.7350959 2015

  7. [7]

    American Astronomical Society Meeting \#240 , year = 2022, series =

    Below the iceberg: Low surface brightness astronomy with HST, Euclid, and Roman. American Astronomical Society Meeting \#240 , year = 2022, series =

    work page 2022

  8. [8]

    American Astronomical Society Meeting Abstracts \#243 , year = 2024, series =

    Euclid Mission Overview and Status. American Astronomical Society Meeting Abstracts \#243 , year = 2024, series =

    work page 2024

  9. [9]

    The SAGA Survey. II. Building a Statistical Sample of Satellite Systems around Milky Way-like Galaxies. , keywords =. doi:10.3847/1538-4357/abce58 , archivePrefix =. 2008.12783 , primaryClass =

    work page doi:10.3847/1538-4357/abce58 2008

  10. [10]

    , keywords =

    The Satellite Luminosity Function of M101 into the Ultra-faint Dwarf Galaxy Regime. , keywords =. doi:10.3847/2041-8213/ab80c5 , archivePrefix =. 2002.11126 , primaryClass =

    work page doi:10.3847/2041-8213/ab80c5 2041

  11. [11]

    , keywords =

    Resolved Dwarf Galaxy Searches within 5 Mpc with the Vera Rubin Observatory and Subaru Hyper Suprime-Cam. , keywords =. doi:10.3847/1538-4357/ac0db8 , archivePrefix =. 2105.01658 , primaryClass =

    work page doi:10.3847/1538-4357/ac0db8

  12. [12]

    , keywords =

    Euclid: Early Release Observations ─ Dwarf galaxies in the Perseus galaxy cluster. , keywords =. doi:10.1051/0004-6361/202450799 , archivePrefix =. 2405.13502 , primaryClass =

    work page doi:10.1051/0004-6361/202450799

  13. [13]

    The Messenger , keywords =

    The VST Early-type GAlaxy Survey: Exploring the Outskirts and Intra-cluster Regions of Galaxies in the Low-surface- brightness Regime. The Messenger , keywords =. doi:10.18727/0722-6691/5232 , archivePrefix =. 2106.06448 , primaryClass =

    work page doi:10.18727/0722-6691/5232

  14. [14]

    The Next Generation Virgo Cluster Survey (NGVS). XXX. Ultra-diffuse Galaxies and Their Globular Cluster Systems. , keywords =. doi:10.3847/1538-4357/aba433 , archivePrefix =. 2007.10565 , primaryClass =

    work page doi:10.3847/1538-4357/aba433 2007

  15. [15]

    , keywords =

    Virgo Dwarfs: New Light on Faint Galaxies. , keywords =. doi:10.1086/166500 , adsurl =

    work page doi:10.1086/166500

  16. [16]

    , keywords =

    NGC 3314a/b and NGC 3312: Ram pressure stripping in Hydra I cluster substructure. , keywords =. doi:10.1051/0004-6361/202243412 , archivePrefix =. 2209.05605 , primaryClass =

    work page doi:10.1051/0004-6361/202243412

  17. [17]

    , keywords =

    ASTROPHOT: fitting everything everywhere all at once in astronomical images. , keywords =. doi:10.1093/mnras/stad2477 , archivePrefix =. 2308.01957 , primaryClass =

    work page doi:10.1093/mnras/stad2477

  18. [18]

    Untangling UDG 32 from the stripped filaments of NGC 3314A with multi-wavelength data

    Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra I cluster: III. Untangling UDG 32 from the stripped filaments of NGC 3314A with multi-wavelength data. , keywords =. doi:10.1051/0004-6361/202452975 , archivePrefix =. 2501.16192 , primaryClass =

    work page doi:10.1051/0004-6361/202452975

  19. [19]

    RASS-SDSS Galaxy cluster survey. IV. A ubiquitous dwarf galaxy population in clusters. , keywords =. doi:10.1051/0004-6361:20052954 , adsurl =

    work page doi:10.1051/0004-6361:20052954

  20. [20]

    Stellar kinematics and dynamical masses

    Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra-I cluster: II. Stellar kinematics and dynamical masses. , keywords =. doi:10.1051/0004-6361/202452915 , adsurl =

    work page doi:10.1051/0004-6361/202452915

  21. [21]

    , keywords =

    Bridging the gap in the mass-size relation of compact galaxies with MaNGA. , keywords =. doi:10.1093/mnras/stad2973 , archivePrefix =. 2309.12394 , primaryClass =

    work page doi:10.1093/mnras/stad2973

  22. [22]

    Inferring Gravitational Potentials from Mass Densities in Cluster-sized Halos

    Inferring Gravitational Potentials from Mass Densities in Cluster-sized Halos. , keywords =. doi:10.3847/0004-637X/822/1/41 , archivePrefix =. 1612.05565 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/0004-637x/822/1/41

  23. [23]

    , keywords =

    Extremely Low Surface Brightness Galaxies in the Fornax Cluster: Properties, Stability, and Luminosity Fluctuations. , keywords =. doi:10.1086/170290 , adsurl =

    work page doi:10.1086/170290

  24. [24]

    Ultra diffuse galaxies outside clusters: clues to their formation and evolution

    Ultra-diffuse galaxies outside clusters: clues to their formation and evolution. , keywords =. doi:10.1093/mnras/stx694 , archivePrefix =. 1610.08980 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx694

  25. [25]

    J., Loeb, A., & Hernquist, L

    Accurate masses for dispersion-supported galaxies. , keywords =. doi:10.1111/j.1365-2966.2010.16753.x , archivePrefix =. 0908.2995 , primaryClass =

    work page doi:10.1111/j.1365-2966.2010.16753.x 2010

  26. [26]

    , keywords =

    UniverseMachine: Predicting Galaxy Star Formation over Seven Decades of Halo Mass with Zoom-in Simulations. , keywords =. doi:10.3847/1538-4357/ac024a , archivePrefix =. 2102.11876 , primaryClass =

    work page doi:10.3847/1538-4357/ac024a

  27. [27]

    NIHAO project I: Reproducing the inefficiency of galaxy formation across cosmic time with a large sample of cosmological hydrodynamical simulations

    NIHAO project - I. Reproducing the inefficiency of galaxy formation across cosmic time with a large sample of cosmological hydrodynamical simulations. , keywords =. doi:10.1093/mnras/stv1937 , archivePrefix =. 1503.04818 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stv1937

  28. [28]

    Nature Astronomy , year = 2022, month = dec, volume =

    Publisher Correction: Stellar dynamics and dark matter in Local Group dwarf galaxies. Nature Astronomy , year = 2022, month = dec, volume =. doi:10.1038/s41550-022-01829-2 , adsurl =

    work page doi:10.1038/s41550-022-01829-2 2022

  29. [29]

    Galaxy Masses

    Galaxy masses. Reviews of Modern Physics , keywords =. doi:10.1103/RevModPhys.86.47 , archivePrefix =. 1309.3276 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1103/revmodphys.86.47

  30. [30]

    A galaxy lacking dark matter

    A galaxy lacking dark matter. , keywords =. doi:10.1038/nature25767 , archivePrefix =. 1803.10237 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1038/nature25767

  31. [31]

    2011, MNRAS, 416, 1654, doi: 10.1111/j.1365-2966.2011.19113.x

    Dwarf galaxies in the Coma cluster - I. Velocity dispersion measurements. , keywords =. doi:10.1111/j.1365-2966.2011.19899.x , archivePrefix =. 1110.2649 , primaryClass =

    work page doi:10.1111/j.1365-2966.2011.19899.x 2011

  32. [32]

    arXiv e-prints , keywords =

    The Fornax Deep Survey (FDS) with VST XII: Low surface brightness dwarf galaxies in the Fornax cluster. arXiv e-prints , keywords =

    work page

  33. [33]

    Systematically Measuring Ultra-diffuse Galaxies (SMUDGes). I. Survey Description and First Results in the Coma Galaxy Cluster and Environs. , keywords =. doi:10.3847/1538-4365/aaefe9 , archivePrefix =. 1811.04098 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4365/aaefe9

  34. [34]

    J., Osmond, J

    ASMOOTH: a simple and efficient algorithm for adaptive kernel smoothing of two-dimensional imaging data. , keywords =. doi:10.1111/j.1365-2966.2006.10135.x , archivePrefix =. astro-ph/0601306 , primaryClass =

    work page doi:10.1111/j.1365-2966.2006.10135.x 2006

  35. [35]

    Spatially Resolved Stellar Kinematics of the Ultra-diffuse Galaxy Dragonfly 44. I. Observations, Kinematics, and Cold Dark Matter Halo Fits. , keywords =. doi:10.3847/1538-4357/ab2914 , archivePrefix =. 1904.04838 , primaryClass =

    work page doi:10.3847/1538-4357/ab2914 1904

  36. [36]

    A tidal tale: detection of multiple stellar streams in the environment of NGC1052

    A tidal tale: detection of several stellar streams in the environment of NGC 1052. , keywords =. doi:10.1051/0004-6361/201935463 , archivePrefix =. 1903.07285 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201935463 1903

  37. [37]

    Evidence for Ultra-Diffuse Galaxy `Formation' Through Galaxy Interactions

    Evidence for Ultra-diffuse Galaxy Formation through Galaxy Interactions. , keywords =. doi:10.3847/2041-8213/aadedf , archivePrefix =. 1809.01145 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/2041-8213/aadedf 2041

  38. [38]

    , keywords =

    Exploring the origin of ultra-diffuse galaxies in clusters from their primordial alignment. , keywords =. doi:10.1093/mnrasl/slaa129 , archivePrefix =. 2007.06593 , primaryClass =

    work page doi:10.1093/mnrasl/slaa129 2007

  39. [39]

    Identification of old tidal dwarfs near early-type galaxies from deep imaging and HI observations

    Identification of old tidal dwarfs near early-type galaxies from deep imaging and H I observations. , keywords =. doi:10.1093/mnras/stu330 , archivePrefix =. 1403.0626 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stu330

  40. [40]

    , keywords =

    The Galaxy ``Missing Dark Matter'' NGC 1052-DF4 is Undergoing Tidal Disruption. , keywords =. doi:10.3847/1538-4357/abc340 , archivePrefix =. 2010.09719 , primaryClass =

    work page doi:10.3847/1538-4357/abc340 2010

  41. [41]

    , keywords =

    SExtractor: Software for source extraction. , keywords =. doi:10.1051/aas:1996164 , adsurl =

    work page doi:10.1051/aas:1996164

  42. [42]

    A Foreground Group to the Hydra Cluster?

    H1 Imaging of NGC 3312 and NGC 3314a. A Foreground Group to the Hydra Cluster?. , keywords =. doi:10.1086/116068 , adsurl =

    work page doi:10.1086/116068

  43. [43]

    GASP. IV. A Muse View of Extreme Ram-pressure-stripping in the Plane of the Sky: The Case of Jellyfish Galaxy JO204. , keywords =. doi:10.3847/1538-4357/aa8322 , archivePrefix =. 1708.09035 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aa8322

  44. [44]

    , keywords =

    GASP XXIX - unwinding the arms of spiral galaxies via ram-pressure stripping. , keywords =. doi:10.1093/mnras/staa3298 , archivePrefix =. 2010.09733 , primaryClass =

    work page doi:10.1093/mnras/staa3298 2010

  45. [45]

    GASP. I. Gas Stripping Phenomena in Galaxies with MUSE. , keywords =. doi:10.3847/1538-4357/aa78ed , archivePrefix =. 1704.05086 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aa78ed

  46. [46]

    2001, MNRAS, 322, 231, doi: 10.1046/j.1365-8711.2001.04022.x Labb´ e, I., van Dokkum, P., Nelson, E., et al

    A synthesis of data from fundamental plane and surface brightness fluctuation surveys. , keywords =. doi:10.1046/j.1365-8711.2001.04800.x , archivePrefix =. astro-ph/0108194 , primaryClass =

    work page doi:10.1046/j.1365-8711.2001.04800.x 2001

  47. [47]

    Seeing Galaxies through Thick and Thin. IV. The Superposed Spiral Galaxies of NGC 3314. , keywords =. doi:10.1086/322117 , archivePrefix =. astro-ph/0106056 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/322117

  48. [48]

    , keywords =

    Spirals, Bridges, and Tails: A Galaxy Evolution Explorer Ultraviolet Atlas of Interacting Galaxies. , keywords =. doi:10.1088/0004-6256/139/3/1212 , adsurl =

    work page doi:10.1088/0004-6256/139/3/1212

  49. [49]

    From Tidal Dwarf Galaxies to Satellite Galaxies

    From tidal dwarf galaxies to satellite galaxies. , keywords =. doi:10.1051/0004-6361:20065248 , archivePrefix =. astro-ph/0605350 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361:20065248

  50. [50]

    Birth, life and survival of Tidal Dwarf Galaxies

    Birth, Life and Survival of Tidal Dwarf Galaxies. Astrophysics and Space Science Proceedings , keywords =. doi:10.1007/978-3-642-22018-0_37 , archivePrefix =. 1101.4834 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1007/978-3-642-22018-0_37

  51. [51]

    Tidal dwarf galaxies in cosmological simulations

    Tidal dwarf galaxies in cosmological simulations. , keywords =. doi:10.1093/mnras/stx2787 , archivePrefix =. 1710.09380 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx2787

  52. [52]

    Strange filamentary structures ("fireballs") around a merger galaxy in the Coma cluster of galaxies

    Strange Filamentary Structures (``Fireballs'') around a Merger Galaxy in the Coma Cluster of Galaxies. , keywords =. doi:10.1086/592430 , archivePrefix =. 0807.2573 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/592430

  53. [53]

    GASP XIII. Star formation in gas outside galaxies

    GASP XIII. Star formation in gas outside galaxies. , keywords =. doi:10.1093/mnras/sty2999 , archivePrefix =. 1811.00823 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty2999

  54. [54]

    Constraining the ages of the fireballs in the wake of the dIrr galaxy VCC1217 / IC3418

    Constraining the ages of the fireballs in the wake of the dIrr galaxy VCC 1217/IC 3418. , keywords =. doi:10.1051/0004-6361/201015463 , archivePrefix =. 1011.1665 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201015463

  55. [55]

    Transformation of a Virgo Cluster Dwarf Irregular Galaxy by Ram Pressure Stripping: IC3418 and its Fireballs

    Transformation of a Virgo Cluster Dwarf Irregular Galaxy by Ram Pressure Stripping: IC3418 and Its Fireballs. , keywords =. doi:10.1088/0004-637X/780/2/119 , archivePrefix =. 1311.5501 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/780/2/119

  56. [56]

    , keywords =

    A preserved high-z compact progenitor in the heart of NGC 3311 revealed with MUSE 2D stellar population analysis. , keywords =. doi:10.1051/0004-6361/202039809 , archivePrefix =. 2012.11609 , primaryClass =

    work page doi:10.1051/0004-6361/202039809 2012

  57. [57]

    arXiv e-prints , keywords =

    A preserved red nugget in the heart of the BCG of the Hydra I cluster revealed with MUSE 2D stellar population analysis. arXiv e-prints , keywords =

    work page

  58. [58]

    Galaxy populations in the Hydra I cluster from the VEGAS survey. II. The ultra-diffuse galaxy population. , keywords =. doi:10.1051/0004-6361/202142367 , archivePrefix =. 2206.07385 , primaryClass =

    work page doi:10.1051/0004-6361/202142367

  59. [59]

    ascl:1610.004 , adsurl =

    MUSE-DRP: MUSE Data Reduction Pipeline. ascl:1610.004 , adsurl =

    work page

  60. [60]

    , keywords =

    The data processing pipeline for the MUSE instrument. , keywords =. doi:10.1051/0004-6361/202037855 , archivePrefix =. 2006.08638 , primaryClass =

    work page doi:10.1051/0004-6361/202037855 2006

  61. [61]

    The MUSE Hubble Ultra Deep Field Survey. I. Survey description, data reduction, and source detection. , keywords =. doi:10.1051/0004-6361/201730833 , archivePrefix =. 1710.03002 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201730833

  62. [62]

    The Journal of Open Source Software , keywords =

    dfitspy: a dfits|fitsort implementation in python. The Journal of Open Source Software , keywords =. doi:10.21105/joss.01249 , adsurl =

    work page doi:10.21105/joss.01249

  63. [63]

    MPDAF: MUSE Python Data Analysis Framework

    work page

  64. [64]

    , keywords =

    The Fornax 3D project: Globular clusters tracing kinematics and metallicities. , keywords =. doi:10.1051/0004-6361/202037685 , archivePrefix =. 2003.13705 , primaryClass =

    work page doi:10.1051/0004-6361/202037685 2003

  65. [65]

    , keywords =

    Radial velocities and stellar population properties of 56 MATLAS dwarf galaxies observed with MUSE. , keywords =. doi:10.1051/0004-6361/202346441 , archivePrefix =. 2305.04593 , primaryClass =

    work page doi:10.1051/0004-6361/202346441

  66. [66]

    , archivePrefix = "arXiv", eprint =

    ZAP - enhanced PCA sky subtraction for integral field spectroscopy. , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/stw474 , adsurl =

    work page doi:10.1093/mnras/stw474

  67. [67]

    , archivePrefix = "arXiv", eprint =

    An updated MILES stellar library and stellar population models. , archivePrefix = "arXiv", eprint =. doi:10.1051/0004-6361/201116842 , adsurl =

    work page doi:10.1051/0004-6361/201116842

  68. [68]

    , year = 1993, month = nov, volume = 265, pages =

    Line-of-sight velocity profiles in spherical galaxies: breaking the degeneracy between anisotropy and mass. , year = 1993, month = nov, volume = 265, pages =. doi:10.1093/mnras/265.1.213 , adsurl =

    work page doi:10.1093/mnras/265.1.213 1993

  69. [69]

    2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x

    Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations. , eprint =. doi:10.1046/j.1365-8711.2003.06541.x , adsurl =

    work page doi:10.1046/j.1365-8711.2003.06541.x 2003

  70. [70]

    Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra-I cluster. I. Project description and preliminary results. , keywords =. doi:10.1051/0004-6361/202347129 , archivePrefix =. 2308.11493 , primaryClass =

    work page doi:10.1051/0004-6361/202347129

  71. [71]

    , eprint =

    Parametric Recovery of Line-of-Sight Velocity Distributions from Absorption-Line Spectra of Galaxies via Penalized Likelihood. , eprint =. doi:10.1086/381875 , adsurl =

    work page doi:10.1086/381875

  72. [72]

    , archivePrefix = "arXiv", eprint =

    Further Evidence for Large Central Mass-to-light Ratios in Early-type Galaxies: The Case of Ellipticals and Lenticulars in the A262 Cluster. , archivePrefix = "arXiv", eprint =. doi:10.1088/0004-6256/144/3/78 , adsurl =

    work page doi:10.1088/0004-6256/144/3/78

  73. [73]

    A Population of Compact Elliptical Galaxies Detected with the Virtual Observatory

    A Population of Compact Elliptical Galaxies Detected with the Virtual Observatory. Science , keywords =. doi:10.1126/science.1175930 , archivePrefix =. 0910.0293 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1126/science.1175930

  74. [74]

    The Atlas3D project - XX. Mass-size and mass-sigma distributions of early-type galaxies: bulge fraction drives kinematics, mass-to-light ratio, molecular gas fraction and stellar initial mass function

    The ATLAS ^ 3D project - XX. Mass-size and mass- distributions of early-type galaxies: bulge fraction drives kinematics, mass-to-light ratio, molecular gas fraction and stellar initial mass function. , keywords =. doi:10.1093/mnras/stt644 , archivePrefix =. 1208.3523 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stt644

  75. [75]

    The Universal Stellar Mass-Stellar Metallicity Relation for Dwarf Galaxies

    The Universal Stellar Mass-Stellar Metallicity Relation for Dwarf Galaxies. , keywords =. doi:10.1088/0004-637X/779/2/102 , archivePrefix =. 1310.0814 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/779/2/102

  76. [76]

    2006, MNRAS, 366, 575, doi: 10.1111/j.1365-2966.2005.09884.x

    The ages and metallicities of galaxies in the local universe. , keywords =. doi:10.1111/j.1365-2966.2005.09321.x , archivePrefix =. astro-ph/0506539 , primaryClass =

    work page doi:10.1111/j.1365-2966.2005.09321.x 2005

  77. [77]

    The Baryonic Tully-Fisher Relation of Gas Rich Galaxies as a Test of LCDM and MOND

    The Baryonic Tully-Fisher Relation of Gas-rich Galaxies as a Test of CDM and MOND. , keywords =. doi:10.1088/0004-6256/143/2/40 , archivePrefix =. 1107.2934 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-6256/143/2/40

  78. [78]

    Dark Matter in Ultra-Diffuse Galaxies in the Virgo Cluster from their Globular Cluster Populations

    Dark Matter in Ultra-diffuse Galaxies in the Virgo Cluster from Their Globular Cluster Populations. , keywords =. doi:10.3847/2041-8213/aab603 , archivePrefix =. 1803.09768 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/2041-8213/aab603 2041

  79. [79]

    PyA: Python astronomy-related packages

    work page

  80. [80]

    , keywords =

    The GIST pipeline: A multi-purpose tool for the analysis and visualisation of (integral-field) spectroscopic data. , keywords =. doi:10.1051/0004-6361/201935829 , archivePrefix =. 1906.04746 , primaryClass =

    work page doi:10.1051/0004-6361/201935829 1906

Showing first 80 references.