Chris Lintott’s research while affiliated with University of Oxford and other places

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Publications (373)


Figure 1. A subset of the decision tree used in GZ CEERS relevant for this paper. Note that you only reach the bar question if you answered 'Features or Disc' to the first question and 'No -Something Else' to the second question. Please refer to Masters et al. (in prep) for the full decision tree used in GZ CEERS.
Figure 2. The average fraction of people that voted that the galaxy is unbarred (p no bar , black), weakly barred (p weak bar , blue) and strongly barred (p strong bar , orange) plotted against redshift. Note that this does not show the actual bar fraction, but the GZ vote fraction in every redshift bin. The method used to convert from GZ vote fractions to bar classifications is detailed in Section 2.2. The weak bar vote fraction clearly decreases with redshift, while the unbarred vote fraction increases. The strong bar vote fractions remains roughly constant.
Figure 4. Redshift against stellar mass (both obtained from CANDELS, Stefanon et al. 2017; Kodra et al. 2023) for the strongly barred (orange), weakly barred (blue) and unbarred (grey) galaxies in our volume-limited sample. The vertical dotted lines in the central panel represent the edges of the redshift bins used in this work. The dashed lines in the histograms denote the median values for the redshift and stellar mass distributions for the different bar types.
Figure 5. The bar fractions fraction measured in the simulations of Liang et al. (2024) for different bands over redshift (see their Table 3 and Figure 15). They kept the true bar fraction constant at 68%, but found that the measured bar fraction decreased with redshift due to observational biases. The rate of decrease depends on which band is considered. In this work, we correct for redshift by using a combination of the detection fractions of the F115W, F150W and F200W bands, shown here in blue. We also show our uncorrected bar fractions (grey dots), as well as the bar fractions corrected for redshift (black dots). Note that these corrected bar fractions are only corrected for redshift, the featureless disc correction is not shown here.
Figure 7. The evolution of the strong and weak bar fraction over redshift. The orange lines show the strong bar fraction and the blue lines show the weak bar fraction. The dotted lines represent the raw, uncorrected bar fractions (see Equation 1), while the solid lines represent the corrected bar fractions (see Equation 4). We also show strong and weak bar fractions of other observations that explicitly distinguish between weak and strong bars (Melvin et al. 2014; Simmons et al. 2014; Géron et al. 2021; Le Conte et al. 2024). The fractions obtained in this work are additionally outlined in black. The strong bar fraction seems to evolve less over redshift than the weak bar fraction.

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Galaxy Zoo CEERS: Bar fractions up to z~4.0
  • Preprint
  • File available

May 2025

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8 Reads

Tobias Géron

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R. J. Smethurst

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Hugh Dickinson

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[...]

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We study the evolution of the bar fraction in disc galaxies between 0.5<z<4.00.5 < z < 4.0 using multi-band coloured images from JWST CEERS. These images were classified by citizen scientists in a new phase of the Galaxy Zoo project called GZ CEERS. Citizen scientists were asked whether a strong or weak bar was visible in the host galaxy. After considering multiple corrections for observational biases, we find that the bar fraction decreases with redshift in our volume-limited sample (n = 398); from 254+625^{+6}_{-4}% at 0.5<z<1.00.5 < z < 1.0 to 31+63^{+6}_{-1}% at 3.0<z<4.03.0 < z < 4.0. However, we argue it is appropriate to interpret these fractions as lower limits. Disentangling real changes in the bar fraction from detection biases remains challenging. Nevertheless, we find a significant number of bars up to z=2.5z = 2.5. This implies that discs are dynamically cool or baryon-dominated, enabling them to host bars. This also suggests that bar-driven secular evolution likely plays an important role at higher redshifts. When we distinguish between strong and weak bars, we find that the weak bar fraction decreases with increasing redshift. In contrast, the strong bar fraction is constant between 0.5<z<2.50.5 < z < 2.5. This implies that the strong bars found in this work are robust long-lived structures, unless the rate of bar destruction is similar to the rate of bar formation. Finally, our results are consistent with disc instabilities being the dominant mode of bar formation at lower redshifts, while bar formation through interactions and mergers is more common at higher redshifts.

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Galaxy Zoo JWST : up to 75 per cent of discs are featureless at 3 < z < 7

March 2025

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3 Reads

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1 Citation

Monthly Notices of the Royal Astronomical Society

We have not yet observed the epoch at which disc galaxies emerge in the Universe. While high-z measurements of large-scale features such as bars and spiral arms trace the evolution of disc galaxies, such methods cannot directly quantify featureless discs in the early Universe. Here, we identify a substantial population of apparently featureless disc galaxies in the Cosmic Evolution Early Release Science (CEERS) survey by combining quantitative visual morphologies of 7000{\sim} 7000 galaxies from the Galaxy Zoo JWST CEERS project with a public catalogue of expert visual and parametric morphologies. While the highest redshift featured disc we identify is at zphot=5.5z_{\rm {phot}}=5.5, the highest redshift featureless disc we identify is at zphot=7.4z_{\rm {phot}}=7.4. The distribution of Sérsic indices for these featureless systems suggests that they truly are dynamically cold: disc-dominated systems have existed since at least z7.4z\sim 7.4. We place upper limits on the featureless disc fraction as a function of redshift, and show that up to 75 per cent of discs are featureless at 3.0<z<7.43.0< z< 7.4. This is a conservative limit assuming all galaxies in the sample truly lack features. With further consideration of redshift effects and observational constraints, we find the featureless disc fraction in CEERS imaging at these redshifts is more likely 29 ⁣ ⁣38  per cent{\sim} 29{\!-\!}38~{{\ \rm per\ cent}}. We hypothesize that the apparent lack of features in a third of high-redshift discs is due to a higher gas fraction in the early Universe, which allows the discs to be resistant to buckling and instabilities.


Galaxy Zoo JWST: Up to 75% of discs are featureless at $3<z<7

March 2025

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26 Reads

We have not yet observed the epoch at which disc galaxies emerge in the Universe. While high-z measurements of large-scale features such as bars and spiral arms trace the evolution of disc galaxies, such methods cannot directly quantify featureless discs in the early Universe. Here we identify a substantial population of apparently featureless disc galaxies in the Cosmic Evolution Early Release Science (CEERS) survey by combining quantitative visual morphologies of 7,000\sim 7,000 galaxies from the Galaxy Zoo JWST CEERS project with a public catalogue of expert visual and parametric morphologies. While the highest-redshift featured disc we identify is at zphot=5.5z_{\rm{phot}}=5.5, the highest-redshift featureless disc we identify is at zphot=7.4z_{\rm{phot}}=7.4. The distribution of S\'ersic indices for these featureless systems suggests that they truly are dynamically cold: disc-dominated systems have existed since at least z7.4z\sim 7.4. We place upper limits on the featureless disc fraction as a function of redshift, and show that up to 75%75\% of discs are featureless at 3.0<z<7.43.0<z<7.4. This is a conservative limit assuming all galaxies in the sample truly lack features. With further consideration of redshift effects and observational constraints, we find the featureless disc fraction in CEERS imaging at these redshifts is more likely 2938%\sim29-38\%. We hypothesise that the apparent lack of features in a third of high-redshift discs is due to a higher gas fraction in the early Universe, which allows the discs to be resistant to buckling and instabilities.


Fig. 1. Photo-z vs. stellar mass diagram showing the completeness limits for the Euclid Q1-GZ data set. The 90% and 50% stellar mass completeness limits are derived following Pozzetti et al. (2010) and are indicated by the solid and dotted black lines respectively.
Fig. 3. Distribution of apparent (top row) and physical sizes (bottom row) in different redshift bins as labelled. The vertical dashed lines indicate the mean values of each distribution which numerical value is also indicated in each panel. The bright magnitude cut applied implies a roughly constant apparent size with redshift.
Fig. 4. Detection bias of bars. The red and black solid lines show the bar fraction as a function of apparent effective radius (top x-axis) and apparent I E magnitude (bottom x-axis), respectively, for galaxies at z < 0.2. Error bars indicate the 68% confidence interval under a beta-binomial posterior. The lack of trend suggests that the detection of bars is not affected by S/N and spatial resolution variations in the selected sample.
Fig. 5. Evolution of the bar fraction as a function of redshift. Each panel shows a different stellar mass bin as labelled. The coloured shaded regions indicate the effect of changing the threshold for selecting barred galaxies between 0.4 and 0.6. The grey shaded regions indicate the redshift ranges affected by incompleteness. Error bars indicate the 68% confidence interval under a beta-binomial posterior. The bar fraction shows a dependence with stellar mass, both in the normalisation and the evolutionary trends.
Fig. 7. Comparison of the observed bar fraction in our Euclid sample (large empty circles) with cosmological simulations. The cyan squares and pink triangles show the results from the TNG50 simulation when all bars and only long bars are included respectively. The orange diamond shows the Auriga simulation. The grey shaded region indicates the effect of varying the probability threshold for bar selection between 0.4 and 0.6. The mean bar fraction is globally well reproduced by the simulations.
Euclid Quick Data Release (Q1), A first look at the fraction of bars in massive galaxies at $z<1

March 2025

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20 Reads

Stellar bars are key structures in disc galaxies, driving angular momentum redistribution and influencing processes such as bulge growth and star formation. Quantifying the bar fraction as a function of redshift and stellar mass is therefore important for constraining the physical processes that drive disc formation and evolution across the history of the Universe. Leveraging the unprecedented resolution and survey area of the Euclid Q1 data release combined with the Zoobot deep-learning model trained on citizen-science labels, we identify 7711 barred galaxies with M1010MM_* \gtrsim 10^{10}M_\odot in a magnitude-selected sample IE<20.5I_E < 20.5 spanning 63.1deg263.1 deg^2. We measure a mean bar fraction of 0.20.40.2-0.4, consistent with prior studies. At fixed redshift, massive galaxies exhibit higher bar fractions, while lower-mass systems show a steeper decline with redshift, suggesting earlier disc assembly in massive galaxies. Comparisons with cosmological simulations (e.g., TNG50, Auriga) reveal a broadly consistent bar fraction, but highlight overpredictions for high-mass systems, pointing to potential over-efficiency in central stellar mass build-up in simulations. These findings demonstrate Euclid's transformative potential for galaxy morphology studies and underscore the importance of refining theoretical models to better reproduce observed trends. Future work will explore finer mass bins, environmental correlations, and additional morphological indicators.


Euclid Quick Data Release (Q1): First visual morphology catalogue

March 2025

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6 Reads

We present a detailed visual morphology catalogue for Euclid's Quick Release 1 (Q1). Our catalogue includes galaxy features such as bars, spiral arms, and ongoing mergers, for the 378000 bright (IE<20.5I_E < 20.5) or extended (area 700\geq 700\,pixels) galaxies in Q1. The catalogue was created by finetuning the Zoobot galaxy foundation models on annotations from an intensive one month campaign by Galaxy Zoo volunteers. Our measurements are fully automated and hence fully scaleable. This catalogue is the first 0.4% of the approximately 100 million galaxies where Euclid will ultimately resolve detailed morphology.


Galaxy scale consequences of tidal disruption events: extended emission line regions, extreme coronal lines and infrared-to-optical light echoes

March 2025

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6 Reads

Stars in galactic centers are occasionally scattered so close to the central supermassive black hole that they are completely disrupted by tidal forces, initiating a transient accretion event. The aftermath of such a tidal disruption event (TDE) produces a bright-and-blue accretion flow which is known to persist for at least a decade (observationally) and can in principle produce ionizing radiation for hundreds of years. Tidal disruption events are known (observationally) to be overrepresented in galaxies which show extended emission line regions (EELRs), with no pre-TDE classical AGN activity, and to produce transient ``coronal lines'', such as [FeX] and [FeXIV]. Using coupled CLOUDY-TDE disk simulations we show that tidal disruption event disks produce a sufficient ionizing radiation flux over their lifetimes to power both EELR of radial extents of r104r \sim 10^4 light years, and coronal lines. EELRs are produced when the ionizing radiation interacts with low density nH101103cm3n_H \sim 10^1 - 10^3 \, {\rm cm}^{-3} clouds on galactic scales, while coronal lines are produced by high density nH106108cm3n_H \sim 10^6 - 10^8 \, {\rm cm}^{-3} clouds near the galactic center. High density gas in galactic centers will also result in the rapid switching on of narrow line features in post-TDE galaxies, and also various high-ionization lines which may be observed throughout the infrared with JWST. Galaxies with a higher intrinsic rate of tidal disruption events will be more likely to show macroscopic EELRs, which can be traced to originate from the previous tidal disruption event in that galaxy, which naturally explains why TDEs are more likely to be discovered in galaxies with EELRs. We further argue that a non-negligible fraction of so-called optically selected ``AGN'' are tidal disruption events.


Finding radio transients with anomaly detection and active learning based on volunteer classifications

February 2025

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1 Read

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1 Citation

Monthly Notices of the Royal Astronomical Society

In this work we explore the applicability of unsupervised machine learning algorithms to finding radio transients. Facilities such as the Square Kilometre Array (SKA) will provide huge volumes of data in which to detect rare transients; the challenge for astronomers is how to find them. We demonstrate the effectiveness of anomaly detection algorithms using 1.3 GHz light curves from the SKA precursor MeerKAT. We make use of three sets of descriptive parameters (‘feature sets’) as applied to two anomaly detection techniques in the Astronomaly package and analyse our performance by comparison with citizen science labels on the same dataset. Using transients found by volunteers as our ground truth, we demonstrate that anomaly detection techniques can recall over half of the radio transients in the 10percnt of the data with the highest anomaly scores. We find that the choice of anomaly detection algorithm makes a minor difference, but that feature set choice is crucial, especially when considering available resources for human inspection and/or follow-up. Active learning, where human labels are given for just 2 per cent of the data, improves recall by up to 20 percentage points, depending on the combination of features and model used. The best performing results produce a factor of 5 times fewer sources requiring vetting by experts. This is the first effort to apply anomaly detection techniques to finding radio transients and shows great promise for application to other datasets, and as a real-time transient detection system for upcoming large surveys.


The visibility of the \={O}tautahi-Oxford interstellar object population model in LSST

February 2025

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12 Reads

With a new probabilistic technique for sampling interstellar object (ISO) orbits with high efficiency, we assess the observability of ISOs under a realistic cadence for the upcoming Vera Rubin Observatory's Legacy Survey of Space and Time (LSST). Using the \={O}tautahi-Oxford population model, we show that there will be complex on-sky structure in the pattern of direction and velocity revealed by the detected ISO population, with the expected enhanced northern flux complicating efforts to derive population parameters from the LSST's predominately southern footprint. For luminosity functions with slopes of 2.5qs4.02.5\leq q_s\leq 4.0, the most discoverable ISOs have Hr14.620.7H_r\simeq 14.6-20.7; for previously estimated spatial densities, between 6 and 51 total ISOs are expected. The slope of the luminosity function of ISOs will be relatively quickly constrained. Discoveries are evenly split around their perihelion passage and are biased to lower velocities. After their discovery by LSST, it will be rare for ISOs to be visible for less than a month; most will have mr23m_r \leq 23 for months, and the window for spectroscopic characterization could be as long as two years. These probabilistic assessments are robust against model or spatial density refinements that change the absolute numbers of ISO discoveries.


Structural decomposition of merger-free galaxies hosting luminous AGNs

February 2025

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6 Reads

Monthly Notices of the Royal Astronomical Society

Active galactic nucleus (AGN) growth in disk-dominated, merger-free galaxies is poorly understood, largely due to the difficulty in disentangling the AGN emission from that of the host galaxy. By carefully separating this emission, we examine the differences between AGNs in galaxies hosting a (possibly) merger-grown, classical bulge, and AGNs in secularly grown, truly bulgeless disk galaxies. We use Galfit to obtain robust, accurate morphologies of 100 disk-dominated galaxies imaged with the Hubble Space Telescope. Adopting an inclusive definition of classical bulges, we detect a classical bulge component in 53.3 ± 0.5 per cent of the galaxies. These bulges were not visible in Sloan Digital Sky Survey photometry, however these galaxies are still unambiguously disk-dominated, with an average bulge-to-total luminosity ratio of 0.1 ± 0.1. We find some correlation between bulge mass and black hole mass for disk-dominated galaxies, though this correlation is significantly weaker in comparison to the relation for bulge-dominated or elliptical galaxies. Furthermore, a significant fraction (≳ 90 per cent) of our black holes are overly massive when compared to the relationship for elliptical galaxies. We find a weak correlation between total stellar mass and black hole mass for the disk-dominated galaxies, hinting that the stochasticity of black hole-galaxy co-evolution may be higher in disk-dominated than bulge-dominated systems.


Figure 1. Comparison of the redshift distribution of clumpy galaxies from the Clump Scout catalog vs. those from the FRCNN. The top plot displays galaxy number counts binned by redshift, while the bottom plots the ratio between them, with a solid line marking unity. Compared with volunteers from Clump Scout, the FRCNN detects more clumpy galaxies at all redshifts, but it is far more efficient at detecting clumps in higher-redshift galaxies for which image resolution is lower.
The Prevalence of Star-forming Clumps as a Function of Environmental Overdensity in Local Galaxies

January 2025

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8 Reads

The Astrophysical Journal

At the peak of cosmic star formation (1 ≲ z ≲ 2), the majority of star-forming galaxies hosted compact, star-forming clumps, which were responsible for a large fraction of cosmic star formation. By comparison, ≲5% of local star-forming galaxies host comparable clumps. In this work, we investigate the link between the environmental conditions surrounding local ( z < 0.04) galaxies and the prevalence of clumps in these galaxies. To obtain our clump sample, we use a Faster R-CNN object detection network trained on the catalog of clump labels provided by the Galaxy Zoo: Clump Scout project, then apply this network to detect clumps in approximately 240,000 Sloan Digital Sky Survey galaxies (originally selected for Galaxy Zoo 2). The resulting sample of 41,445 u -band bright clumps in 34,246 galaxies is the largest sample of clumps yet assembled. We then select a volume-limited sample of 9964 galaxies and estimate the density of their local environment using the distance to their projected fifth nearest neighbor. We find a robust correlation between environment and the clumpy fraction ( f clumpy ) for star-forming galaxies (specific star formation rate, sSFR > 10 ⁻² Gyr ⁻¹ ) but find little to no relationship when controlling for galaxies’ sSFR or color. Further, f clumpy increases significantly with sSFR in local galaxies, particularly above sSFR > 10 ⁻¹ Gyr ⁻¹ . We posit that a galaxy’s gas fraction primarily controls the formation and lifetime of its clumps, and that environmental interactions play a smaller role.


Citations (52)


... The classification tree used in GZ CEERS is similar to the one used in GZ DESI. However, as noted by Smethurst et al. (2025), the distribution of vote fractions in GZ CEERS is different compared to other GZ iterations. This implies that the morphology of these higher redshift (z ≳ 0.5) galaxies is different compared to the morphology of galaxies in the local Universe. ...

Reference:

Galaxy Zoo CEERS: Bar fractions up to z~4.0
Galaxy Zoo JWST : up to 75 per cent of discs are featureless at 3 < z < 7
  • Citing Article
  • March 2025

Monthly Notices of the Royal Astronomical Society

... Planetary formation and evolution processes mean that systems are efficient donors to the ISM, e.g. in the Solar System planetary architecture, 75-85% of the initial cometary bodies are now unbound (Fernandez & Ip 1984;Brasser et al. 2006). As unbound planetesimals should outlive their star, the Galactic ISO population is formed from the integrated population contributed from all stellar lifetimes, modulo metallicity: the sine morte population (Hopkins et al. 2023;Hopkins et al. 2025). The propagation of ISOs from each of their progenitor systems will then occur in the gravitational potential of the Galaxy, and follow the motion that we describe here. ...

Predicting Interstellar Object Chemodynamics with Gaia

The Astronomical Journal

... Machine learning has been widely applied in astronomy, but the lack of specialized datasets remains a challenge. Existing datasets like Galaxy Zoo [7] focus on general galaxy classification and radio galaxy Zoo deals with radio sources [8]. The MiraBest dataset [9] provides labeled Fanaroff-Riley Type I and II sources [10] but lacks the labeling of bent AGNs into WATs and NATs. ...

Radio Galaxy Zoo data release 1: 100185 radio source classifications from the FIRST and ATLAS surveys
  • Citing Article
  • December 2024

Monthly Notices of the Royal Astronomical Society

... Additionally, they suffer particularly from the problem of subjec-tivity, and the difficulty in defining what an 'odd' morphology is. To address this, the Galaxy Zoo: Weird and Wonderful project (Mantha et al. 2024) formalised the distinction between 'interesting' and 'non-interesting' anomalous galaxies in its classification scheme. Yet, volunteers may not be able to identify an anomaly as reliably as an expert in the field of extragalactic astrophysics. ...

Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data

Citizen Science Theory and Practice

... The propagation of ISOs from each of their progenitor systems will then occur in the gravitational potential of the Galaxy, and follow the motion that we describe here. In Forbes et al. (2024) we employ lbparticles to understand the density structure of streams of interstellar objects. ...

He awa whiria: the tidal streams of interstellar objects

... Observational studies have shown that barred galaxies exhibit increased star formation in their central regions (Matsuda & Nelson 1977;Hawarden et al. 1986;Garcia-Barreto et al. 1991;Kenney et al. 1992;Alonso-Herrero & Knapen 2001;Hunt et al. 2008;Coelho & Gadotti 2011;Ellison et al. 2011;Lin et al. 2020;Géron et al. 2024) as well as in the bar-end regions (Reynaud & Downes 1998;Verley et al. 2007;Díaz-García et al. 2020;Fraser-McKelvie et al. 2020;Maeda et al. 2020;Géron et al. 2024). Conversely, star formation is suppressed along the arms of the bar (Reynaud & Downes 1998;Zurita et al. 2004;Watanabe et al. 2011;Haywood et al. 2016;Géron et al. 2024). ...

The Effects of Bar Strength and Kinematics on Galaxy Evolution: Slow Strong Bars Affect Their Hosts the Most

The Astrophysical Journal

... However, labeling is a time-consuming and resource-intensive process. In recent years, this task has been partially delegated to citizen science initiatives such as Zooniverse 1 (formerly Galaxy Zoo), its transient-specific branch Zwickyverse 2 , the Jupiter-specific project Jovian Vortex Hunter (Sankar et al., 2024), and others. While citizen science projects can produce large amounts of labelled data, this will generally be accompanied by large uncertainties requiring careful statistical modelling before their results can be used in subsequent studies. ...

Jovian Vortex Hunter: A Citizen Science Project to Study Jupiter’s Vortices

The Planetary Science Journal

... This momentum exchange induced by bars led to a number of studies in the last few decades on the connection between bars and AGN activity, with divergent conclusions. A body of evidence suggests that bars can favour the feeding of AGN or act in the building of a gas reservoir in the centre of galaxies (Knapen et al. 2000;Laine et al. 2002;Coelho & Gadotti 2011;Alonso et al. 2013Alonso et al. , 2014Alonso et al. , 2018Galloway et al. 2015;Silva-Lima et al. 2022;Garland et al. 2024), but other studies have found no support for a bar-AGN relation (Regan & Mulchaey 1999;Martini et al. 2003;Cisternas et al. 2013;Goulding et al. 2017). This analysis is challenging due to the different timescales involved, the bar and AGN detection, and to the presence of dynamical resonances in the inner galactic scales. ...

Galaxy Zoo DESI: large-scale bars as a secular mechanism for triggering AGNs
  • Citing Article
  • July 2024

Monthly Notices of the Royal Astronomical Society

... Iesaisties.lv is a decentralized platform that consolidates various citizen science projects and initiatives under a single framework, serving as a nexus between researchers and the public within the domains of humanities and cultural heritage studies. Conceptually, there is a similarity with well-known global projects such as Zooniverse (Jackson et al., 2024) and CitSci (Lynn et al., 2019); however, iesaisties.lv mostly operates in Latvian language and is focused on disciplinary-specific needs. ...

Unleashing the Power of the Zooniverse: The 2021 Survey of Volunteers

SSRN Electronic Journal

... Finally, while seven of these new aliases have not been previously reported, TOI-4633.01 has since been confirmed as a TOI-4633c with a 271 days period by N. L. Eisner et al. (2024). ...

Planet Hunters TESS. V. A Planetary System Around a Binary Star, Including a Mini-Neptune in the Habitable Zone

The Astronomical Journal