Jonathan I. Davies’s research while affiliated with Cardiff University and other places

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Publications (30)


Environmental Effects in Herschel Observations of the Ionized Carbon Content of Star-forming Dwarf Galaxies in the Virgo Cluster
  • Article
  • Full-text available

August 2022

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8 Reads

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6 Citations

The Astronomical Journal

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Dario Fadda

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Rhys Taylor

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[...]

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Jonathan Davies

We use archival Herschel data to examine the singly ionized carbon ([C II ]) content of 14 star-forming dwarf galaxies in the Virgo cluster. We use spectral energy distribution fits to far-infrared, mid-infrared, near-infrared, optical, and ultraviolet data to derive the total infrared continuum (TIR) for these galaxies. We compare the [C II ]/TIR ratio for dwarf galaxies in the central part of Virgo to those in the southern part of the cluster and to galaxies with similar TIR luminosities and metallicities in the Herschel Dwarf Galaxy Survey (DGS) sample of field dwarf galaxies to look for signs of [C II ] formation independent of star formation. Our analysis indicates that the sample of Virgo dwarfs in the central part of the cluster has significantly higher values of [C II ]/TIR than the sample from the southern part of the cluster and the sample from the DGS, while the southern sample is consistent with the DGS. This [C II ]/TIR excess implies that a significant fraction of the [C II ] in the dwarf galaxies in the cluster center has an origin other than star formation and is likely to be due to environmental processes in the central part of the cluster. We also find a surprisingly strong correlation between [C II ]/TIR and the local ram pressure felt by the dwarf galaxies in the cluster. In this respect, we claim that the excess [C II ] we see in these galaxies is likely to be due to formation in ram-pressure shocks.

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Figure 3. [C ii]/TIR versus projected distance to M87, the central elliptical galaxy in the Virgo cluster. Error bars indicate 1σ errors based on the Herschel [C ii] error budget and the 16-84 percent range of the marginalized probability distribution of the TIR flux; larger errors are dominated by the uncertainty in the TIR flux. Points indicate the central value of [C ii]/TIR, based on the 50 percent point of the marginalized probability distribution; shape and color indicate the sample to which each galaxy is assigned: central (purple lozenges) or southern (blue circles). The large symbols (shown for illustrative purposes on the right hand side) indicate the arithmetic mean and error of [C ii]/TIR for each sample, with the large green star showing the mean and error for the comparator sample drawn from the Herschel Dwarf Galaxy Survey (see Section 3.1).
Figure 4. Positions of sample galaxies in the cluster with the central value for [C ii]/TIR indicated by the color. The positions of M87 and M49 are indicated by blue stars. Contours (at 0.1, 0.2, 0.4 and 0.8 counts s −1 pixel −1 ) indicate the smoothed hard X-ray counts from the ROSAT All Sky Survey (Voges et al. 1999).
Figure 6. [C ii]/TIR vs p loc /p def with ram pressure stripping category (both from Köppen et al. 2018) for our central galaxies (purple lozenges) and southern galaxies (blue circles). Magenta squares with colored error bars indicate the mean of each category (errors on the means, as before, estimated by propagating the errors on the individual measurements in the samples and combining these in quadrature with the uncertainty in the estimates of the means due to the scatter in the samples) and the dashed magenta line indicates where Köppen et al. (2018) split their categories. VCC 699, which has p loc /p def = 0 in Köppen et al. (2018), is artificially placed at p loc /p def = 0.025 with an arrow to the left.
Figure 7. [C ii]/TIR vs local ram pressure (p loc ) calculated as in Equation 1 for our central galaxies (purple lozenges) and southern galaxies (blue circles) at 17 Mpc distance. Dashed line indicates best fit, the shaded area the 1σ uncertainty, and the dotted line the 3σ uncertainty.
Figure 8. Difference between SFR estimated from FUV+TIR and estimated from [C ii], plotted against [C ii]/TIR. The error bar on the right hand side indicates the scatter in the SFR indicators and the average error on [C ii]/TIR; vertical position of the error bar marks the average difference between the SFR indicators.

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Environmental effects in Herschel observations of the ionized carbon content of star forming dwarf galaxies in the Virgo cluster

May 2022

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48 Reads

We use archival Herschel data to examine the singly ionized carbon ([CII]) content of 14 star forming dwarf galaxies in the Virgo cluster. We use spectral energy distribution (SED) fits to far infrared, mid infrared, near infrared, optical and ultraviolet data to derive the total infrared continuum (TIR) for these galaxies. We compare the [CII]/TIR ratio for dwarf galaxies in the central part of Virgo to those in the southern part of the cluster and to galaxies with similar TIR luminosities and metallicities in the Herschel Dwarf Galaxy Survey (DGS) sample of field dwarf galaxies to look for signs of [CII] formation independent of star formation. Our analysis indicates that the sample of Virgo dwarfs in the central part of the cluster has significantly higher values of [CII]/TIR than the sample from the southern part of the cluster and the sample from the DGS, while the southern sample is consistent with the DGS. This [CII]/TIR excess implies that a significant fraction of the [CII] in the dwarf galaxies in the cluster center has an origin other than star formation and is likely to be due to environmental processes in the central part of the cluster. We also find a surprisingly strong correlation between [CII]/TIR and the local ram pressure felt by the dwarf galaxies in the cluster. In this respect, we claim that the excess [CII] we see in these galaxies is likely to be due to formation in ram pressure shocks.


High-resolution, 3D radiative transfer modelling. II. The early-type spiral galaxy M81

April 2020

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100 Reads

Interstellar dust absorbs stellar light very efficiently and thus shapes the energetic output of galaxies. Studying the impact of different stellar populations on the dust heating remains hard because it requires decoupling the relative geometry of stars and dust, and involves complex processes as scattering and non-local dust heating. We aim to constrain the relative distribution of dust and stellar populations in the spiral galaxy M81 and create a realistic model of the radiation field that describes the observations. Investigating the dust-starlight interaction on local scales, we want to quantify the contribution of young and old stellar populations to the dust heating. We aim to standardise the setup and model selection of such inverse radiative transfer simulations so this can be used for comparable modelling of other nearby galaxies. We present a semi-automated radiative transfer modelling pipeline that implements the necessary steps such as the geometric model construction and the normalisation of the components through an optimisation routine. We use the Monte Carlo radiative transfer code SKIRT to calculate a self-consistent, panchromatic model of the interstellar radiation field. By looking at different stellar populations independently, we can quantify to what extent different stellar age populations contribute to the dust heating. Our method takes into account the effects of non-local heating. We obtain a realistic 3D radiative transfer model of the face-on galaxy M81. We find that only 50.2\% of the dust heating can be attributed to young stellar populations. We confirm a tight correlation between the specific star formation rate and the heating fraction by young stellar populations, both in sky projection and in 3D, also found for radiative transfer models of M31 and M51. We conclude that... (abridged)


High-resolution, 3D radiative transfer modelling III. The DustPedia barred galaxies

April 2020

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67 Reads

Context: Dust in late-type galaxies in the local Universe is responsible for absorbing approximately one third of the energy emitted by stars. It is often assumed that dust heating is mainly attributable to the absorption of UV and optical photons emitted by the youngest (<= 100 Myr) stars. Consequently, thermal re-emission by dust at FIR wavelengths is often linked to the star-formation activity of a galaxy. However, several studies argue that the contribution to dust heating by much older stars might be more significant. Advances in radiation transfer (RT) simulations finally allow us to actually quantify the heating mechanisms of diffuse dust by the stellar radiation field. Aims: As one of the main goals in the DustPedia project, we have constructed detailed 3D stellar and dust RT models for nearby galaxies. We analyse the contribution of the different stellar populations to the dust heating in four face-on barred galaxies: NGC1365, M83, M95, and M100. We aim to quantify the fraction directly related to young stars, both globally and on local scales, and to assess the influence of the bar on the heating fraction. Results: We derive global attenuation laws for each galaxy and confirm that galaxies of high sSFR have shallower attenuation curves and weaker UV bumps. On average, 36.5% of the bolometric luminosity is absorbed by dust. We report a clear effect of the bar structure on the radial profiles of the dust-heating fraction by the young stars, and the dust temperature. We find that the young stars are the main contributors to the dust heating, donating, on average ~59% of their luminosity to this purpose throughout the galaxy. This dust-heating fraction drops to ~53% in the bar region and ~38% in the bulge region where the old stars are the dominant contributors to the dust heating. We also find a strong link between the heating fraction by the young stars and the sSFR.


Figure 2. Synthetic distributions of (g − r) colour for our mock red UDG, blue UDG and interloper catalogues, weighted by the probability of observation, compared to the actual observed histogram. The absolute numbers are normalised to an area of 180 square degrees. The error-bars show the Poisson uncertainties in each bin. Colours are in the observed reference frame. We note that we include the effect of measurement error in our mock colours. It is clear that the red UDG model is not consistent with the observations, being much more consistent with the blue model. et al. (2017). We found a reasonable qualitative agreement with the colour distribution of UDGs from their sample, indicating that the HI-rich UDGs have similar properties to the overall field UDG population. Jones et al. (2018) reported a number density of HI-rich UDGs of 1.5±0.6×10 −3 cMpc −3 , approximately one-fifth of our upper-limit measurement of the overall UDG field population. Finally, we compared our results to the semi-analytic models (SAMs) of Rong et al. (2017) and Jones et al. (2018), finding a qualitative agreement in colour. However, we found that the SAM used by Jones et al. (2018) over-predicts the number of field UDGs compared to our observations by a factor of ∼2. To summarise, this study suggests that UDGs in the field are systematically bluer than those in denser environments and likely harbour younger stellar populations, with some showing clear signs of active star formation. This is observational evidence that environmental effects play an important role in quenching star formation in such galaxies. The upper-limit mass formation efficiency we have estimated is not sufficient to rule out the idea that secular formation channels are responsible for producing a high fraction of UDGs.
Observational Properties of Field UDGs: Colours and Number Densities

October 2019

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15 Reads

While much of the focus around Ultra-Diffuse Galaxies (UDGs) has been given to those in galaxy groups and clusters, relatively little is known about them in less-dense environments. These isolated UDGs provide fundamental insights into UDG formation because environmentally driven evolution and survivability play less of a role in determining their physical and observable properties. We have recently conducted a statistical analysis of UDGs in the field using a new catalogue of sources detected in the deep Kilo-Degree Survey (KiDS) and Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) optical imaging surveys. Using an empirical model to assess our contamination from interloping sources, we show that a scenario in which cluster-like quiescent UDGs occupy a large fraction of the field UDG population is unlikely, with most being significantly bluer and some showing signs of localised star formation. We estimate an upper-limit on the total field abundance of UDGs of 8±\pm3×103\times10^{-3}cMpc3^{-3} within our selection range. The mass formation efficiency of UDGs implied by this upper-limit is similar to what is measured in groups and clusters, meaning that secular formation channels may significantly contribute to the overall UDG population.



The First Maps of κd\kappa_{d} -- the Dust Mass Absorption Coefficient -- in Nearby Galaxies, with DustPedia

August 2019

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150 Reads

The dust mass absorption coefficient, κd\kappa_{d}, is the conversion function used to infer physical dust masses from observations of dust emission. However, it is notoriously poorly constrained, and it is highly uncertain how it varies, either between or within galaxies. Here we present the results of a proof-of concept study, using the DustPedia data for two nearby face-on spiral galaxies M74 (NGC 628) and M83 (NGC 5236), to create the first ever maps of κd\kappa_{d} in galaxies. We determine κd\kappa_{d} using an empirical method that exploits the fact that the dust-to-metals ratio of the interstellar medium is constrained by direct measurements of the depletion of gas-phase metals. We apply this method pixel-by-pixel within M74 and M83, to create maps of κd\kappa_{d}. We also demonstrate a novel method of producing metallicity maps for galaxies with irregularly-sampled measurements, using the machine learning technique of Gaussian process regression. We find strong evidence for significant variation in κd\kappa_{d}. We find values of κd\kappa_{d} at 500 μ\mum spanning the range 0.11-0.25 m2kg1{\rm m^{2}\,kg^{-1}} in M74, and 0.15-0.80 m2kg1{\rm m^{2}\,kg^{-1}} in M83. Surprisingly, we find that κd\kappa_{d} shows a distinct inverse correlation with the local density of the interstellar medium. This inverse correlation is the opposite of what is predicted by standard dust models. However, we find this relationship to be robust against a large range of changes to our method - only the adoption of unphysical or highly unusual assumptions would be able to suppress it.


Figure 1. Literature values of κ 500 , plotted against the year in which they were published. This is an updated version of Figure 1 from Clark et al. (2016), revised to include values published subsequent to that work, plus additional historical values. A full list of references for the plotted values is provided as a footnote to this figure a . All values were converted to the 500 µm reference wavelength b according to Equation 2, assuming c β = 2. Several prominent values have been highlighted. Rectangular markers indicate the range encompassed by a particular set of values. The 5 th -95 th percentile ranges we find for M 83 and M 74 in this work are also plotted, for later reference (with the overlap between their ranges correspondingly shaded). a The plotted values of κ d include the values given in the compilation tables of Alton et al. (2004) and Demyk et al. (2013), along with the values reported by: Ossenkopf & Henning (1994); Agladze et al. (1996); Weingartner & Draine (2001); James et al. (2002); Draine (2003); Dasyra et al. (2005); Draine & Li (2007); Eales et al. (2010b); Ormel et al. (2011);Compì egne et al. (2011); Draine et al. (2014); Gordon et al. (2014); Planck Collaboration et al. (2014); Köhler et al. (2015); Jones et al. (2016); RomanDuval et al. (2017); Bianchi et al. (2017); Demyk et al. (2017a,b); Chiang et al. (2018). b The choice of reference wavelength has negligible (< 0.1 dex) effect on the standard deviation of the literature κ d values in the plot, as long as 100 < λ 0 < 1000 µm. c Changing β to any value in the standard range of 1-2.5 has negligible (< 0.05 dex) effect on the standard deviation of the literature κ d values in the plot.
Figure 7. r 2:1 values from Figure 34 (lower-right panel) of Leroy et al. (2009), plotted against galactocentric radius in terms of R 25 . The black line shows our Gaussian process regression to this data, with the grey shaded area indicating the 1σ uncertainty.
Figure 8. The posterior SED modelled by our SED fitting for an example pixel in M 74 (specifically, at α = 24.1820 • , δ = 15.7755 • ). The black crosses show standard fluxes, whilst the grey crosses are fluxes that serve as upper limits; error bars are drawn for both. The pale red translucent lines show the SEDs corresponding to 500 samples from the posterior distribution. The solid red line shows the data space median posterior SED (being the posterior sample for which half of all other samples are brighter, and half fainter, averaged over the wavelength range for which data is present), and the text in the figure give its parameters. The corresponding posterior parameter distributions are shown in Figure 9.
Figure 9. Corner plot showing the covariances of the posterior distributions of the free parameters modelled in our SED fitting, for an example pixel in M 74 (specifically, at α = 24.1820 • , δ = 15.7755 • ). The two-parameter distributions have contours indicating the regions containing 68.3%, 95.5%, 99.7%, and 99.9% of the posterior samples; probability density is indicated as a shaded density histogram within the contoured region, whilst outside of the contoured region the samples are plotted as individual points. The individual parameter distributions, plotted at the top of each column as KDEs, are annotated with the median values, along with the boundaries of the 68.3% credible interval as ± values (with masses given in units of log 10 M ). The corresponding posterior SEDs, plotted in data space, are shown in Figure 8.
Figure C1. Distribution of χ values found for our jackknife crossvalidation of the GPR metallicity mapping. Distributions plotted as Kernel Density Estimates (KDEs), using an Epanechnikov kernel, with bandwidth calculated using the Sheather-Jones rule (Sheather & Jones 1991).
The First Maps of κd – the Dust Mass Absorption Coefficient – in Nearby Galaxies, with DustPedia

August 2019

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483 Reads

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63 Citations

Monthly Notices of the Royal Astronomical Society

The dust mass absorption coefficient, κd is the conversion function used to infer physical dust masses from observations of dust emission. However, it is notoriously poorly constrained, and it is highly uncertain how it varies, either between or within galaxies. Here we present the results of a proof-of-concept study, using the DustPedia data for two nearby face-on spiral galaxies M 74 (NGC 628) and M 83 (NGC 5236), to create the first ever maps of κd in galaxies. We determine κd using an empirical method that exploits the fact that the dust-to-metals ratio of the interstellar medium is constrained by direct measurements of the depletion of gas-phase metals. We apply this method pixel-by-pixel within M 74 and M 83, to create maps of κd. We also demonstrate a novel method of producing metallicity maps for galaxies with irregularly sampled measurements, using the machine learning technique of Gaussian process regression. We find strong evidence for significant variation in κd. We find values of κd at 500 μm spanning the range 0.11-0.25 m^{2 kg^{-1}} in M 74, and 0.15-0.80 m^{2 kg^{-1}} in M 83. Surprisingly, we find that κd shows a distinct inverse correlation with the local density of the interstellar medium. This inverse correlation is the opposite of what is predicted by standard dust models. However, we find this relationship to be robust against a large range of changes to our method - only the adoption of unphysical or highly unusual assumptions would be able to suppress it.


The Widefield Arecibo Virgo Extragalactic Survey I: New structures in the Kent cloud complex and an extended tail on NGC 4522

July 2019

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5 Reads

We are carrying out a sensitive blind survey for neutral hydrogen (HI) in the Virgo cluster and report here on the first 5\deg\ x 1\deg\ area covered, which includes two optically-dark gas features: a five-cloud HI complex (Kent et al. 2007, 2009) and the stripped tail of NGC 4522 (Kenney et al. 2004). We discover a sixth cloud and low velocity gas that extends the velocity range of the Kent complex to over 450 km/s, find that around half of the total HI flux comes from extended emission rather than compact clouds, and see around 150 percent more gas, raising the total HI mass from 5.1 x 108^8 M_\odot to 1.3 x 109^9 M_\odot. This makes the identification of NGC 4445 and NGC 4424 by Kent et al. (2009) as possible progenitors of the complex less likely, as it would require an unusually high fraction of the gas removed to have been preserved in the complex. We also identify a new component to the gas tail of NGC 4522 extending to ~200 km/s below the velocity range of the gas in the galaxy, pointing towards the eastern end of the complex. We consider the possibility that NGC 4522 may be the parent galaxy of the Kent complex, but the large velocity separation (~1800 km/s) leads us to rule this out. We conclude that, in the absence of any better candidate, NGC 4445 remains the most likely parent galaxy, although this requires it to have been particularly gas-rich prior to the event that removed its gas into the complex.


Figure 3. Our model colour distributions for the mock UDG catalogues. The data we fit are from Venhola et al. (2018) and correspond to late-type (small blue points) and early-type (small red points) dwarf galaxies in the Fornax cluster. We fit simple linear models (uninterrupted coloured lines) and their 1σ uncertainties (dashed lines) after clipping outliers at 3σ. Under the assumption that UDGs have similar colours to dwarf galaxies, we use the late/early type fits for our star-forming/quiescent mock UDG catalogues. The vertical black lines span the approximate range of absolute magnitudes occupied by UDGs (van der Burg et al. 2016). The bold points show the red/blue UDGs of Román & Trujillo (2017b) and Román et al. (2019).
Figure 4. Synthetic distributions of (g − r) colour for our mock red UDG, blue UDG and massive blue galaxy catalogues, weighted by the probability of observation, compared to the actual observed histogram. The absolute numbers are normalised to an area of 180 square degrees. The error-bars show the Poisson uncertainties in each bin. Colours are in the observed reference frame. We note that we include the effect of measurement error in our mock colours. It is clear that the red UDG model is not consistent with the observations, being much more consistent with the blue model.
Figure 5. The observed distribution of colour after subtracting the estimated contribution from massive blue galaxies (grey histogram). Left: Comparison with the empirical red and blue UDG models from this study. We show the mean and 1σ dispersion of the observations with the vertical lines. Right: Normalised comparison with observations of HI-bearing field UDGs in the literature (Leisman et al. 2017). and predictions from the semi-analytical models (SAM) of Rong et al. (2017) and Jones et al. (2018). Poisson error-bars are shown. See text for discussion.
Figure D1. Top: Comparison of the overall redshift distribution from our mock catalogue (black histogram) with that of Kelvin et al. (2012) (blue histogram) and a crossmatch between our observed UDG candidate catalogue and the GAMA spectroscopic survey (red histogram). Middle: Decomposition of our mock catalogue into UDGs (orange) and interlopers (blue) as a function of redshift. Bottom: The same as the middle panel, but for our crossmatch with GAMA.
Observational Properties of Ultra-Diffuse Galaxies in the Field: Field-UDGs are Predominantly Blue and Starforming

July 2019

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27 Reads

While we have learned much about Ultra-Diffuse Galaxies (UDGs) in groups and clusters, relatively little is known about them in less-dense environments. More isolated UDGs are important for our understanding of UDG formation scenarios because they form via secular mechanisms, allowing us to determine the relative importance of environmentally-driven formation in groups and clusters. We have used the public Kilo-Degree Survey (KiDS) together with the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) to constrain the abundance and properties of UDGs in the field, targeting sources with low surface brightness (24.0\leq\bar{\mu}_{e,r}}\leq\26.5) and large apparent sizes (3.0\arcsec\leq\bar{r}_{e,r}}\leq8.0\arcsec). Accounting for several sources of interlopers in our selection based on canonical scaling relations, and using an empirical UDG model based on measurements from the literature, we show that a scenario in which cluster-like red sequence UDGs occupy a significant number of field galaxies is unlikely, with most field UDGs being significantly bluer and showing signs of localised star formation. An immediate conclusion is that UDGs are much more efficiently quenched in high-density environments. We estimate an upper-limit on the total field abundance of UDGs of 8±\pm3×103\times10^{-3}cMpc3^{-3} within our selection range. We also compare the total field abundance of UDGs to a measurement of the abundance of HI-rich UDGs from the literature, suggesting that they occupy at least one-fifth of the overall UDG population. The mass formation efficiency of UDGs implied by this upper-limit is similar to what is measured in groups and clusters.


Citations (12)


... et al. 2018;I. Smirnova-Pinchukova et al. 2019). Shocks or turbulent heating (e.g., due to mergers or ram pressure) could also lead to excess [C II] emission compared to what is expected from SF, increasing global [C II]/FIR by up to a factor of ∼5 (e.g., P. N. Appleton et al. 2013;K. Alatalo et al. 2014;D. Fadda et al. 2021D. Fadda et al. , 2023aR. Minchin et al. 2022). LIRG, QSO1, and QSO2 samples in this work all contain galaxies showing disturbed morphology, although detailed studies on the relation between morphology and [C II] emission require higher-resolution imaging data and are outside the scope of this paper. In the sample of LIRGs studied in this work, those with high AGN fractions do not h ...

Reference:

Measuring the Interstellar Medium Content of Nearby, Luminous, Type 1 and Type 2 QSOs through CO and [C ii ]
Environmental Effects in Herschel Observations of the Ionized Carbon Content of Star-forming Dwarf Galaxies in the Virgo Cluster

The Astronomical Journal

... Another important observational assumption is the wavelength-dependent dust opacity, ( ). Commonly this is taken to be (850µm) = 0.77 cm 2 g −1 , though estimates can vary by an order of magnitude (Clark et al. 2019). Alternative probes, such as measuring depletion in damped Ly absorbers (Péroux & Howk 2020) or cosmic budgetary arguments (Fukugita & Peebles 2004) provide independent estimates. ...

The First Maps of κd – the Dust Mass Absorption Coefficient – in Nearby Galaxies, with DustPedia

Monthly Notices of the Royal Astronomical Society

... FRELLED was developed as part of AGES. The combination of volumetric and channel map displays have formed the mainstay of visual source extraction techniques for AGES and its successor WAVES (Widefield Arecibo Virgo Environment Survey; Minchin et al. 2019) since its initial development. Our standard technique is to first inspect the data volumetrically, mask identified sources using regions (see section 3.2, but at their simplest, these are cuboid objects which mark the position of an identified feature), and then search the masked data but now shown as channel maps. ...

The Widefield Arecibo Virgo Extragalactic Survey. I. New Structures in the ALFALFA Virgo 7 Cloud Complex and an Extended Tail on NGC 4522
  • Citing Article
  • August 2019

The Astronomical Journal

... Bacchini et al. 2023). Nevertheless, studies of H 2 in cluster galaxies yield varying results across clusters (Kenney & Young 1989;Brown et al. 2021;Zabel et al. 2019Zabel et al. , 2022Zabel et al. , 2024. Given that H 2 is the primary fuel for star formation, understanding its response to dense environments is crucial for unraveling the broader picture of galaxy evolution. ...

The ALMA Fornax Cluster Survey I: stirring and stripping of the molecular gas in cluster galaxies
  • Citing Article
  • February 2019

Monthly Notices of the Royal Astronomical Society

... Our automated semi-resolved detection technique, inspired by Tanoglidis et al. (2021), uses SExtractor parameter cuts and has been developed for the search for dwarf galaxies around NGC 55 (Medoff et al. 2025). In the case of crowded dwarfs, SExtractor tends to "shred" the central crowded region into multiple extended lowsurface-brightness sources (Prole et al. 2018). Our method leverages SExtractor parameters (Bertin & Arnouts 1996) to filter data and enhance the detection of spatial overdensities of faint extended features, specifically optimizing the identification of the shredded unresolved components within crowded dwarf galaxies. ...

Automated detection of very Low Surface Brightness galaxies in the Virgo Cluster
  • Citing Article
  • April 2018

Monthly Notices of the Royal Astronomical Society

... AGES targeted the full range of galaxy environments from voids to clusters, with one of the major goals being the detection of optically dark H I sources that could not be discovered by optical surveys. The 1σ column density sensitivity of AGES is N H I = 1.5 × 10 17 cm −2 (0.001 M e pc −2 ) for a source that fills the beam at 10 km s −1 velocity resolution (Keenan et al. 2016); while AGES has a maximum velocity resolution of 5 km s −1 , we Hanning-smooth the data to 10 km s −1 for better sensitivity and reduction of artifacts such as Gibbs ringing. ...

The Arecibo Galaxy Environment Survey X: The Structure of Halo Gas Around M33

Monthly Notices of the Royal Astronomical Society

... Given the extended HI discs of many galaxies, still more off-centre impacts may generate splash bridges, but not a ring galaxy. Davies et al. (2008) outline the detection of a dark galaxy candidate, VIRGOHI21, which could be a relic of a splash bridge. Interestingly, the HI observations of VIR-GOHI21 reveal an HI galactic disc with a mass of 2 × 10 7 M embedded in the 2 × 10 8 M tidal bridge. ...

The Detection of Dark Galaxies in Blind HI Surveys
  • Citing Article
  • June 2008

Proceedings of the International Astronomical Union

... Lots of UDGs have been identified in the Coma cluster; these Coma UDGs are found to be red and have old stellar population. Benefiting from the HST/ACS Coma Cluster Treasury Survey (Carter et al. 2008;Hammer et al. 2010), which provides deep-and high-resolution images in the F475W and F814W bands, we do similar analysis for Coma UDGs selected from the Yagi et al. (2016) catalog. Since the Coma UDGs usually have a much larger angular size than the size of HST PSF, we do not match cutout images to have the same PSF but only carefully subtract the background. ...

The HST/ACS Coma cluster survey. II. data description and source catalogs

The Astrophysical Journal Supplement Series

... Coma has a long history of distance measurements to the objects within it. A historical compilation of distance measurements was presented in R. de Grijs & G. Bono (2020), 9 and a compilation from the 1990s-2000s is given in D. Carter et al. (2008), including the use of Tully-Fisher, SBF, D n − σ, FP, and globular clusters, resulting in an average of D Coma~9 5 Mpc. The HST Key Project (KP) calibrated the FP relation in nearby clusters (Virgo, Fornax, and Leo I) and Coma, which resulted in a measured distance of 86 ± 8 Mpc (D. D. Kelson et al. 2000;W. ...

The Hubble Space Telescope Advanced Camera for Surveys Coma Cluster Survey. I. Survey Objectives and Design

The Astrophysical Journal Supplement Series

... are based on different approaches. Some (e.g., D. A. Dale & G. Helou 2002;E. da Cunha et al. 2008) are based on semiempirical treatment of the SEDs, while others are based on theoretical computations of the radiative transfer of radiation, albeit with different levels of complexity (e.g., M. Rowan-Robinson & J. Crawford 1989; L. Silva et al. 1998;M. Baes et al. 2003). ...

Radiative transfer in disc galaxies -- III. The observed kinematics of dusty disc galaxies
  • Citing Article
  • April 2003

Monthly Notices of the Royal Astronomical Society