Publications
1044 results found
Horsager J, Okkels N, Van Den Berge N, et al., 2022, In vivo vesicular acetylcholine transporter density in human peripheral organs: an [<SUP>18</SUP>F] FEOBV PET/CT study, EJNMMI RESEARCH, Vol: 12, ISSN: 2191-219X
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- Citations: 2
O'Donnell JH, Wilkinson RD, Diehl HT, et al., 2022, The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint, Astrophysical Journal, Supplement Series, Vol: 259, ISSN: 0067-0049
We report the combined results of eight searches for strong gravitational lens systems in the full 5000 square degrees of Dark Energy Survey (DES) observations. The observations accumulated by the end of the third observing season fully covered the DES footprint in five filters (grizY), with an i-band limiting magnitude (at 10σ) of 23.44. In four searches, a list of potential candidates was identified using a color and magnitude selection from the object catalogs created from the first three observing seasons. Three other searches were conducted at the locations of previously identified galaxy clusters. Cutout images of potential candidates were then visually scanned using an object viewer. An additional set of candidates came from a data-quality check of a subset of the color-coadd tiles created from the full DES six-season data set. A short list of the most promising strong-lens candidates was then numerically ranked according to whether or not we judged them to be bona fide strong gravitational lens systems. These searches discovered a diverse set of 247 strong-lens candidate systems, of which 81 are identified for the first time. We provide the coordinates, magnitudes, and photometric properties of the lens and source objects, and an estimate of the Einstein radius for 81 new systems and 166 previously reported systems. This catalog will be of use for selecting interesting systems for detailed follow up, studies of galaxy cluster and group mass profiles, as well as a training/validation set for automated strong-lens searches.
Wang B, Zou J, Cai Z, et al., 2022, Deep Learning of Dark Energy Spectroscopic Instrument Mock Spectra to Find Damped Ly α Systems, Astrophysical Journal, Supplement Series, Vol: 259, ISSN: 0067-0049
We have updated and applied a convolutional neural network (CNN) machine-learning model to discover and characterize damped Lyα systems (DLAs) based on Dark Energy Spectroscopic Instrument (DESI) mock spectra. We have optimized the training process and constructed a CNN model that yields a DLA classification accuracy above 99% for spectra that have signal-to-noise ratios (S/N) above 5 per pixel. The classification accuracy is the rate of correct classifications. This accuracy remains above 97% for lower S/N ≈1 spectra. This CNN model provides estimations for redshift and H i column density with standard deviations of 0.002 and 0.17 dex for spectra with S/N above 3 pixel-1. Also, this DLA finder is able to identify overlapping DLAs and sub-DLAs. Further, the impact of different DLA catalogs on the measurement of baryon acoustic oscillations (BAO) is investigated. The cosmological fitting parameter result for BAO has less than 0.61% difference compared to analysis of the mock results with perfect knowledge of DLAs. This difference is lower than the statistical error for the first year estimated from the mock spectra: above 1.7%. We also compared the performances of the CNN and Gaussian Process (GP) models. Our improved CNN model has moderately 14% higher purity and 7% higher completeness than an older version of the GP code, for S/N > 3. Both codes provide good DLA redshift estimates, but the GP produces a better column density estimate by 24% less standard deviation. A credible DLA catalog for the DESI main survey can be provided by combining these two algorithms.
Morgan R, Nord B, Bechtol K, et al., 2022, DeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification, Astrophysical Journal, Vol: 927, ISSN: 0004-637X
Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectroscopic follow-up before the supernova fades, an LSN needs to be identified soon after it begins. To quickly identify LSNe in optical survey data sets, we designed ZipperNet, a multibranch deep neural network that combines convolutional layers (traditionally used for images) with long short-term memory layers (traditionally used for time series). We tested ZipperNet on the task of classifying objects from four categories - no lens, galaxy-galaxy lens, lensed Type-Ia supernova, lensed core-collapse supernova - within high-fidelity simulations of three cosmic survey data sets: the Dark Energy Survey, Rubin Observatory's Legacy Survey of Space and Time (LSST), and a Dark Energy Spectroscopic Instrument (DESI) imaging survey. Among our results, we find that for the LSST-like data set, ZipperNet classifies LSNe with a receiver operating characteristic area under the curve of 0.97, predicts the spectroscopic type of the lensed supernovae with 79% accuracy, and demonstrates similarly high performance for LSNe 1-2 epochs after first detection. We anticipate that a model like ZipperNet, which simultaneously incorporates spatial and temporal information, can play a significant role in the rapid identification of lensed transient systems in cosmic survey experiments.
Golden-Marx JB, Miller CJ, Zhang Y, et al., 2022, The Observed Evolution of the Stellar Mass-Halo Mass Relation for Brightest Central Galaxies, Astrophysical Journal, Vol: 928, ISSN: 0004-637X
We quantify evolution in the cluster-scale stellar mass-halo mass (SMHM) relation's parameters using 2323 clusters and brightest central galaxies (BCGs) over the redshift range 0.03 ≤ z ≤ 0.60. The precision on the inferred SMHM parameters is improved by including the magnitude gap (m gap) between the BCG and fourth-brightest cluster member (M14) as a third parameter in the SMHM relation. At fixed halo mass, accounting for m gap, through a stretch parameter, reduces the SMHM relation's intrinsic scatter. To explore this redshift range, we use clusters, BCGs, and cluster members identified using the Sloan Digital Sky Survey C4 and redMaPPer cluster catalogs and the Dark Energy Survey redMaPPer catalog. Through this joint analysis, we detect no systematic differences in BCG stellar mass, m gap, and cluster mass (inferred from richness) between the data sets. We utilize the Pareto function to quantify each parameter's evolution. We confirm prior findings of negative evolution in the SMHM relation's slope (3.5σ), and detect negative evolution in the stretch parameter (4.0σ) and positive evolution in the offset parameter (5.8σ). This observed evolution, combined with the absence of BCG growth, when stellar mass is measured within 50 kpc, suggests that this evolution results from changes in the cluster's m gap. For this to occur, late-term growth must be in the intracluster light surrounding the BCG. We also compare the observed results to IllustrisTNG 300-1 cosmological hydrodynamic simulations and find modest qualitative agreement. However, the simulations lack the evolutionary features detected in the real data.
Jansen WJ, Janssen O, Tijms BM, et al., 2022, Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum, JAMA NEUROLOGY, Vol: 79, Pages: 228-243, ISSN: 2168-6149
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- Citations: 58
Zuercher D, Fluri J, Sgier R, et al., 2022, Dark energy survey year 3 results: Cosmology with peaks using an emulator approach, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 511, Pages: 2075-2104, ISSN: 0035-8711
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- Citations: 18
Tavangar K, Ferguson P, Shipp N, et al., 2022, From the Fire: A Deeper Look at the Phoenix Stream, Astrophysical Journal, Vol: 925, ISSN: 0004-637X
We use 6 yr of data from the Dark Energy Survey to perform a detailed photometric characterization of the Phoenix stellar stream, a 15° long, thin, dynamically cold, low-metallicity stellar system in the Southern Hemisphere. We use natural splines, a nonparametric modeling technique, to simultaneously fit the stream track, width, and linear density. This updated stream model allows us to improve measurements of the heliocentric distance (17.4 ± 0.1 (stat.) ±0.8 (sys.) kpc) and distance gradient (-0.009 ± 0.006 kpc deg-1) of Phoenix, which corresponds to a small change of 0.13 ± 0.09 kpc in heliocentric distance along the length of the stream. We measure linear intensity variations on degree scales, as well as deviations in the stream track on ∼2° scales, suggesting that the stream may have been disturbed during its formation and/or evolution. We recover three peaks and one gap in linear intensity along with fluctuations in the stream track. Compared to other thin streams, the Phoenix stream shows more fluctuations and, consequently, the study of Phoenix offers a unique perspective on gravitational perturbations of stellar streams. We discuss possible sources of perturbations to Phoenix, including baryonic structures in the Galaxy and dark matter subhalos.
Abbott TMC, Aguena M, Alarcon A, et al., 2022, Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing, PHYSICAL REVIEW D, Vol: 105, ISSN: 2470-0010
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- Citations: 114
Amon A, Gruen D, Troxel MA, et al., 2022, Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration, PHYSICAL REVIEW D, Vol: 105, ISSN: 2470-0010
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- Citations: 79
Zacharegkas G, Chang C, Prat J, et al., 2022, Dark Energy Survey Year 3 results: galaxy-halo connection from galaxy-galaxy lensing, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 509, Pages: 3119-3147, ISSN: 0035-8711
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- Citations: 15
Madsen LS, Nielsen RB, Parbo P, et al., 2022, Capillary function progressively deteriorates in prodromal Alzheimer's disease: A longitudinal MRI perfusion study., Aging Brain, Vol: 2
Cardiovascular risk factors are associated with the development of Alzheimer's disease (AD), and increasing evidence suggests that cerebral microvascular dysfunction plays a vital role in the disease progression. Using magnetic resonance imaging, we investigated the two-year changes of the cerebral microvascular blood flow in 11 mild cognitively impaired (MCI) patients with prodromal AD compared to 12 MCI patients without evidence of AD and 10 cognitively intact age-matched controls. The pAD-MCI patients displayed widespread deterioration in microvascular cerebral perfusion associated with capillary dysfunction. No such changes were observed in the other two groups, suggesting that the dysfunction in capillary perfusion is linked to the AD pathophysiology. The observed capillary dysfunction may limit local oxygenation in AD leading to downstream β-amyloid aggregation, tau hyperphosphorylation, neuroinflammation and neuronal dysfunction. The findings are in agreement with the capillary dysfunction hypothesis of AD, suggesting that increasing heterogeneity of capillary blood flow is a primary pathological event in AD.
Horsager J, Okkels N, Hansen AK, et al., 2022, Mapping Cholinergic Synaptic Loss in Parkinson's Disease: An [<SUP>18</SUP>F]FEOBV PET Case-Control Study, JOURNAL OF PARKINSONS DISEASE, Vol: 12, Pages: 2493-2506, ISSN: 1877-7171
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- Citations: 3
Kjeldsen PL, Parbo P, Hansen KV, et al., 2022, Asymmetric amyloid deposition in preclinical Alzheimer's disease: A PET study., Aging Brain, Vol: 2
INTRODUCTION: The typical spatial pattern of amyloid-β (Aβ) in diagnosed Alzheimer's disease (AD) is that of a symmetrical hemispheric distribution. However, Aβ may be asymmetrically distributed in early stages of AD. Aβ distribution on PET has previously been explored in MCI and AD, but it has yet to be directly investigated in preclinical AD (pAD). We examined how Aβ was distributed in individuals with pAD and MCI using 11C-Pittsburgh Compound B (PiB) PET. METHODS: In this PET study, 79 subjects were retrospectively enrolled, including 34 controls, 24 pAD, and 21 MCI. All subjects underwent APOE genotyping, 11C-PiB PET, MRI, and cognitive testing. We explored differences in Aβ load, Aβ lateralisation, and Aβ distribution, as well as associations between Aβ distribution and cognition. RESULTS: The Aβ asymmetry index (AI) differed between groups, with pAD having the highest Aβ AI as compared to both controls and MCI. There was no clear Aβ lateralisation in pAD, but there was a non-significant trend towards Aβ being more left-lateralised in MCI. There were no correlations between the cognitive scores and Aβ AI or Aβ lateralisation in pAD or MCI. CONCLUSION: The distribution of Aβ is most asymmetrical in pAD, as Aβ first starts accumulating, and it then becomes less asymmetrical in MCI, when Aβ has spread further, suggesting that more pronounced asymmetrical Aβ distribution may be a distinguishing factor in pAD. Longitudinal studies examining the distribution of Aβ across the AD continuum are needed.
Kovacs A, Jeffrey N, Gatti M, et al., 2021, The DES view of the Eridanus supervoid and the CMB cold spot, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 510, Pages: 216-229, ISSN: 0035-8711
Adhikari S, Shin TH, Jain B, et al., 2021, Probing Galaxy Evolution in Massive Clusters Using ACT and DES: Splashback as a Cosmic Clock, Astrophysical Journal, Vol: 923, ISSN: 0004-637X
We measure the projected number density profiles of galaxies and the splashback feature in clusters selected by the Sunyaev-Zel'dovich effect from the Advanced Atacama Cosmology Telescope (AdvACT) survey using galaxies observed by the Dark Energy Survey (DES). The splashback radius is consistent with CDM-only simulations and is located at 2.4-0.4+0.3 Mpc h-1. We split the galaxies on color and find significant differences in their profile shapes. Red and green-valley galaxies show a splashback-like minimum in their slope profile consistent with theory, while the bluest galaxies show a weak feature at a smaller radius. We develop a mapping of galaxies to subhalos in simulations and assign colors based on infall time onto their hosts. We find that the shift in location of the steepest slope and different profile shapes can be mapped to the average time of infall of galaxies of different colors. The steepest slope traces a discontinuity in the phase space of dark matter halos. By relating spatial profiles to infall time, we can use splashback as a clock to understand galaxy quenching. We find that red galaxies have on average been in clusters over 3.2 Gyr, green galaxies about 2.2 Gyr, while blue galaxies have been accreted most recently and have not reached apocenter. Using the full radial profiles, we fit a simple quenching model and find that the onset of galaxy quenching occurs after a delay of about a gigayear and that galaxies quench rapidly thereafter with an exponential timescale of 0.6 Gyr.
Leng F, Hinz R, Gentleman S, et al., 2021, Neuroinflammation, functional connectivity and structural network integrity in the Alzheimer's spectrum, Alzheimer's & dementia : the journal of the Alzheimer's Association, Vol: 17
BACKGROUND: To investigate whether neuroinflammation and β-amyloid (Aβ) deposition influence brain structural and functional connectivity in Alzheimer's spectrum, we conducted a cross-sectional multimodal imaging study and interrogated the associations between imaging biomarkers of neuroinflammation, Aβ deposition, brain connectivity and cognition. METHOD: 58 participants (25 MCI, 16 AD dementia and 17 healthy controls) were recruited and scanned with 11 C-PBR28 and 18 F-flutemetamol PET, T1-weighted, diffusion tensor and resting-state functional MRI. Brain structural and functional connectivity were assessed by global white matter integrity and functional topology metrics, while neuroinflammation and Aβ deposition were evaluated by 11 C-PBR28 and 18 F-flutemetamol uptake, respectively. Changes of the biomarkers were compared between diagnostic groups and robust regression analyses at both voxel and regional level were performed on Aβ positive patients, who were considered to be representative of Alzheimer's continuum. RESULT: Increased 11 C-PBR28 and 18 F-flutemetamol uptake, decreased FA values, impaired small-worldness and local efficiency of functional network were observed in the AD cohort. In Aβ-positive patients, cortical 11 C-PBR28 uptake correlated with decreased structural integrity and network local efficiency independent of 18 F-flutemetamol uptake and cortical thickness. Network structural integrity and cortical thickness correlated with functional metrics, including small-worldness and local efficiency, which were all associated with cognition. CONCLUSION: Our findings suggest that cortical neuroinflammation may lead to disruption of structural and functional brain network independent of amyloid deposition and cortical atrophy, which in turn can lead to cognitive impairment in AD.
Vibholm AK, Dietz MJ, Beniczky S, et al., 2021, Activated N-methyl-D-aspartate receptor ion channels detected in focal epilepsy with [<SUP>18</SUP>F]GE-179 positron emission tomography, EPILEPSIA, Vol: 62, Pages: 2899-2908, ISSN: 0013-9580
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- Citations: 2
Venkataraman A, Bishop C, Mansur A, et al., 2021, Imaging synaptic microstructure and synaptic loss in vivo in early Alzheimer’s Disease, Publisher: Cold Spring Harbor Laboratory
Background Synaptic loss and neurite dystrophy are early events in Alzheimer’s Disease (AD). We aimed to characterise early synaptic microstructural changes in vivo.Methods MRI neurite orientation dispersion and density imaging (NODDI) and diffusion tensor imaging (DTI) were used to image cortical microstructure in both sporadic, late onset, amyloid PET positive AD patients and healthy controls (total n = 28). We derived NODDI measures of grey matter extracellular free water (FISO), neurite density (NDI) and orientation dispersion (ODI), which provides an index of neurite branching and orientation, as well as more conventional DTI measures of fractional anisotropy (FA), mean/axial/radial diffusivity (MD, AD, RD, respectively). We also performed [11C]UCB-J PET, which provides a specific measure of the density of pre-synaptic vesicular protein SV2A. Both sets of measures were compared to regional brain volumes.Results The AD patients showed expected relative decreases in regional brain volumes (range, -6 to - 23%) and regional [11C]UCB-J densities (range, -2 to -25%). Differences between AD and controls were greatest in the hippocampus. NODDI microstructural measures showed greater FISO (range, +26 to +44%) in AD, with little difference in NDI (range, -1 to +7%) and mild focal changes in ODI (range, -4 to +3%). Regionally greater FISO and lower [11C]UCB-J binding were correlated across grey matter in patients (most strongly in the caudate, r2 = 0.37, p = 0.001). FISO and DTI RD were strongly positively associated, particularly in the hippocampus (r2 = 0.98, p < 7.4 × 10−9). After 12-18 months we found a 5% increase in FISO in the temporal lobe, but little change across all ROIs in NDI and ODI. An exploratory analysis showed higher parietal lobe FISO was associated with lower language scores in people with AD.Conclusions We interpreted the increased extracellular free water as a possible consequence of glial activation. The dynamic range of disease
Bernardinelli PH, Bernstein GM, Montet BT, et al., 2021, C/2014 UN<inf>271</inf>(Bernardinelli-Bernstein): The Nearly Spherical Cow of Comets, Astrophysical Journal Letters, Vol: 921, ISSN: 2041-8205
Comet C/2014 UN271 (Bernardinelli-Bernstein), incoming from the Oort cloud, is remarkable in having the brightest (and presumably largest) nucleus of any well-measured comet and having been discovered at the heliocentric distance r h ≈ 29 au, farther than any Oort cloud comet. In this work, we describe the discovery process and observations and the properties that can be inferred from images recorded until the first reports of activity in 2021 June. The orbit has i = 95°, with a perihelion of 10.97 au to be reached in 2031 and a previous aphelion at 40,400 ± 260 au. Backward integration of the orbit under a standard Galactic tidal model and known stellar encounters suggests a perihelion of q ≈ 18 au on its previous perihelion passage 3.5 Myr ago; hence, the current data could be the first ever obtained of a comet that has not been inside Uranus's orbit in 4 Gyr. The photometric data show an unresolved nucleus with absolute magnitude H r = 8.0, colors that are typical of comet nuclei or Damocloids, and no secular trend as it traversed the range 34-23 au. For the r-band geometric albedo p r , this implies a diameter of km. There is strong evidence of brightness fluctuations at the ±0.2 mag level, but no rotation period can be discerned. A coma, nominally consistent with a "stationary"1/ρ surface brightness distribution, grew in scattering cross section at an exponential rate from A f ρ ≈ 1 to ≈150 m as the comet approached from 28 to 20 au. The activity rate is consistent with a very simple model of sublimation of a surface species in radiative equilibrium with the Sun. The inferred enthalpy of sublimation matches those of CO2 and NH3. More volatile species, such as N2, CH4, and CO, must be far less abundant on the sublimating surfaces.
Shin T, Jain B, Adhikari S, et al., 2021, The mass and galaxy distribution around SZ-selected clusters, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 507, Pages: 5758-5779, ISSN: 0035-8711
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- Citations: 16
Doppler CEJ, Kinnerup MB, Brune C, et al., 2021, Regional locus coeruleus degeneration is uncoupled from noradrenergic terminal loss in Parkinson's disease, BRAIN, Vol: 144, Pages: 2732-2744, ISSN: 0006-8950
Pasquini J, Brooks DJ, Pavese N, 2021, The Cholinergic Brain in Parkinson's Disease, MOVEMENT DISORDERS CLINICAL PRACTICE, Vol: 8, Pages: 1012-1026, ISSN: 2330-1619
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- Citations: 24
, 2021, Abstracts of the MDS Virtual Congress 2021., Mov Disord, Vol: 36 Suppl 1, Pages: S1-S599
Andersen KB, Hansen AK, Damholdt MF, et al., 2021, Reduced Synaptic Density in Patients with Lewy Body Dementia: An [<SUP>11</SUP>C]UCB-J PET Imaging Study, MOVEMENT DISORDERS, Vol: 36, Pages: 2057-2065, ISSN: 0885-3185
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- Citations: 26
Pagano G, Molloy S, Bain PG, et al., 2021, Impulse control disorders are associated with lower ventral striatum dopamine D3 receptor availability in Parkinson's disease: A [11C]-PHNO PET study, PARKINSONISM & RELATED DISORDERS, Vol: 90, Pages: 52-56, ISSN: 1353-8020
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- Citations: 5
Venkataraman A, Mansur A, Rizzo G, et al., 2021, Widespread cell stress and mitochondrial dysfunction in early Alzheimer’s Disease, Publisher: MedRxiv
Cell stress and impaired oxidative phosphorylation are central to mechanisms of synaptic loss and neurodegeneration in the cellular pathology of Alzheimer’s disease (AD). We quantified the in vivo density of the endoplasmic reticulum stress marker, the sigma 1 receptor (S1R) using [11C]SA4503 PET, as well as that of mitochondrial complex I (MC1) with [18F]BCPP-EF and the pre-synaptic vesicular protein SV2A with [11C]UCB-J in 12 patients with early AD and in 16 cognitively normal controls. We integrated these molecular measures with assessments of regional brain volumes and brain perfusion (CBF) measured with MRI arterial spin labelling. 8 AD patients were followed longitudinally to estimate rates of change with disease progression over 12-18 months. The AD patients showed widespread increases in S1R (≤ 27%) and regional decreases in MC1 (≥ -28%), SV2A (≥ -25%), brain volume (≥ -23%), and CBF (≥ -26%). [18F]BCPP-EF PET MC1 density (≥ -12%) and brain volumes (≥ -5%) were further reduced at follow up in brain regions consistent with the differences between AD patients and controls at baseline. Exploratory analyses showing associations of MC1, SV2A and S1R density with cognitive changes at baseline and longitudinally with AD, but not in controls, suggested a loss of metabolic functional reserve with disease. Our study thus provides novel in vivo evidence for widespread cellular stress and bioenergetic abnormalities in early AD and that they may be clinically meaningful.
Cantu SA, Pace AB, Marshall J, et al., 2021, A Deeper Look at des Dwarf Galaxy Candidates: Grus i and Indus ii, Astrophysical Journal, Vol: 916, ISSN: 0004-637X
We present deep g- and r-band Magellan/Megacam photometry of two dwarf galaxy candidates discovered in the Dark Energy Survey (DES), Grus i and Indus ii (DES J2038-4609). For the case of Grus i, we resolved the main sequence turn-off (MSTO) and ∼2 mags below it. The MSTO can be seen at g 0 ∼ 24 with a photometric uncertainty of 0.03 mag. We show Grus i to be consistent with an old, metal-poor (∼13.3 Gyr, [Fe/H] ∼ -1.9) dwarf galaxy. We derive updated distance and structural parameters for Grus i using this deep, uniform, wide-field data set. We find an azimuthally-averaged halflight radius more than two times larger (∼151+21-31 pc; ∼ 4′.16-0.74+0.54) and an absolute V-band magnitude ∼-4.1 that is ∼1 magnitude brighter than previous studies. We obtain updated distance, ellipticity, and centroid parameters that are in agreement with other studies within uncertainties. Although our photometry of Indus ii is ∼2-3 magnitudes deeper than the DES Y1 public release, we find no coherent stellar population at its reported location. The original detection was located in an incomplete region of sky in the DES Y2Q1 data set and was flagged due to potential blue horizontal branch member stars. The best-fit isochrone parameters are physically inconsistent with both dwarf galaxies and globular clusters. We conclude that Indus ii is likely a false positive, flagged due to a chance alignment of stars along the line of sight.
Binda KH, Lillethorup TP, Real CC, et al., 2021, Exercise protects synaptic density in a rat model of Parkinson's disease, EXPERIMENTAL NEUROLOGY, Vol: 342, ISSN: 0014-4886
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- Citations: 13
Jeffrey N, Gatti M, Chang C, et al., 2021, Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction, MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 505, Pages: 4626-4645, ISSN: 0035-8711
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- Citations: 4
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