The star formation history of the Sculptor Dwarf Irregular Galaxy

[abridged] We study the resolved stellar populations and derive the SFH of the SDIG, a gas-rich dwarf galaxy member of the NGC7793 subgroup in the Sculptor group. We construct a CMD using archival HST observations and examine its stellar content. We derive its SFH using a maximum-likelihood fit to the CMD. The CMD shows that SDIG contains stars from 10Myr to several Gyr old, as revealed from the MS, BL, luminous AGB, and RGB stars. The young stars with ages less than ~250Myr show a spatial distribution confined to its central regions, and additionally the young MS stars exhibit an off-center density peak. The intermediate-age and older stars are more spatially extended. SDIG is dominated by intermediate-age stars with an average age of 6.4Gyr. The average metallicity inferred is [M/H]\approx -1.5dex. Its SFH is consistent with a constant SFR, except for ages younger than ~200Myr. The lifetime average SFR is 1.3x10^{-3} Mo/yr. More recently than 100Myr, there has been a burst of SF at a rate ~2-3 times higher than the average SFR. The inferred recent SFR from CMD modelling is higher than inferred from the Ha flux of the galaxy; we interpret this to mean that the upper end of the IMF is not being fully sampled due to the low SFR. Additionally, an observed lack of bright blue stars in the CMD could indicate a downturn in SFR on 10^7-yr timescales. A previous SF enhancement appears to have occurred between 600-1100Myr ago, with amplitude similar to the most recent 100Myr. Older bursts of similar peak SFR and duration would not be resolvable with these data. The observed enhancements in SF suggest that SDIG is able to sustain a complex SFH without the effect of interactions with its nearest massive galaxy. Integrating the SFR over the entire history of SDIG yields a total stellar mass 1.77x10^{7}Mo, and a current V-band stellar mass-to-light ratio 3.2Mo/Lo.Comment: A&A accepted; 10 pages, 9 figure

Using the Modified Lognormal Power-law Distribution to Model the Mass Function of NGC 1711

A determination of the mass function (MF) of stellar clusters can be quite dependent on the range of measured masses, the fitting technique, and the analytic function that is being fit to the data. Here, we use Hubble Space Telescope/WFPC2 data of NGC 1711, a stellar cluster in the Large Magellanic Cloud, as a test case to explore a range of possible determinations of the MF from a single data set. We employ the analytic modified lognormal power-law (MLP) distribution, a hybrid function that has a peaked lognormal-like body and a power-law tail at intermediate and high masses. A fit with the MLP has the advantage that the resulting best-fit function can be either a hybrid function, a pure lognormal, or a pure power law, in different limits of the function. The completeness limit for the observations means that the data contains masses above ∼0.90 M o˙. In this case, the MLP fits yield essentially a pure power-law MF. We demonstrate that the nonlinear regression/least-squares approach is not justified since the underlying assumptions are not satisfied. By using maximum-likelihood estimation, which is independent of binning, we find a best-fit functional form, where α = 1.72 0.05 or 1.75 0.05 for two different theoretical isochrone models, respectively. Furthermore, we explore the possibility of systematic errors in the determination of the power-law index due to the depth of the observations. When we combine the observational data with artificially generated data from the lognormal Chabrier initial MF for masses below 0.90M o˙, the best-fit MLP is a hybrid function but with a steeper asymptotic slope i.e., α = 2.04 0.07. This illustrates the systematic uncertainties in commonly used MF parameters that can depend on the range of data that is fitted

Madaan2015HelAS.pdf

<div>The initial mass function (IMF) is a distribution function describing the number of stars formed per mass interval at birth during a star forming event. Its importance lies in its application, as well as impact, in galaxy formation and evolution studies. We use young stellar clusters in the Local Group to test the Modified Lognormal Power-law Probability distribution recently proposed in Basu et al. 2015. We compare this distribution with the most commonly used functional forms describing the initial mass function in stellar populations analyses (Madaan et al.).</div

Imagecube: an astronomical Python package for organizing and processing multi-wavelength astronomical data

<p>Astropy is a community Python library for astronomy. We have developed Imagecube as an Astropy affiliated package for processing multiwavelength (spectro)-imaging. This module automates tedious steps of image processing and analysis and delivers a science-ready image datacube. The included steps involve converting to common flux units, image registration to a common WCS, and convolution to a common resolution. Individual steps can be performed separately. We will show examples of Imagecube in action and provide an update on its current status.</p

LianouHelAS2013.pdf

<div>Astropy is a community python library for astronomy. Imagecube has been developed as an Astropy affiliated package for processing multiwavelength (spectro)-imaging. This module automates tedious steps of image processing and analysis and delivers a science-ready image datacube. The included steps involve converting to common flux units, image registration to a common WCS, and convolution to a</div><div>common resolution. Individual steps can be performed separately. We test the module using the dwarf galaxy NGC1569 by producing its observed spectral energy distribution (SED) on a pixel-by-pixel basis.</div

Serum PCSK9 levels in infants with deviant birth weight: a biomarker of the lipoprotein metabolism

Proprotein Convertase Subtilisin/Kexin-Type 9 (PCSK9), a modulator of low-density lipoprotein (LDL) cholesterol metabolism, has been reported to be a promising biomarker for evaluating lipoprotein metabolism; however, evidence in infants is limited. In the current study, we sought to investigate potential differences in serum PCSK9 levels between infants with deviant birth weight and controls. We enrolled 82 infants, classified into 33 small (SGA), 32 appropriate (AGA), and 17 large for gestation (LGA) infants. Serum PCSK9 was measured on routine blood analysis within the first postnatal 48 h. PCSK9 was significantly higher in SGA as compared to AGA and LGA infants [322 (236–431) as compared to 263 (217–302) and 218 (194–291) ng/ml respectively, p = .011]. In comparison to term AGA infants, PCSK9 was significantly elevated in preterm AGA and SGA infants. We also found a significantly higher level of PCSK9 in term female SGA infants as compared to term male SGA infants [325 (293–377) as compared to 174 (163–216) ng/ml, p = .011]. PCSK9 was significantly correlated with gestational age (R = –0.404, p R = –0.419, p R = 0.248, p = .028) and LDL cholesterol (R = 0.370, p = .001). SGA status (OR 2.56, p = .004, 95% CI 1.83–4.28) and prematurity (OR 3.10, p = .001, 95% CI 1.39–4.82) were strongly related to serum PCSK9 levels. PCSK9 levels were significantly associated with total and LDL cholesterol. Moreover, PCSK9 levels were higher in preterm and SGA infants, suggesting that PCSK9 might be a promising biomarker for evaluating infants with increased later cardiovascular risk.HighlightsWhat’s already known? Proprotein Convertase Subtilisin/Kexin-Type 9 (PCSK9) is a promising biomarker for evaluating lipoprotein metabolism; however, evidence in infants is limited. Infants that were born with a deviant birth weight have a unique lipoprotein metabolism profile.What this study adds? Serum PCSK9 levels were significantly associated with total and LDL cholesterol. PCSK9 levels were higher in preterm and small for gestation infants, suggesting that PCSK9 might be a promising biomarker for evaluating infants with increased later cardiovascular risk. What’s already known? Proprotein Convertase Subtilisin/Kexin-Type 9 (PCSK9) is a promising biomarker for evaluating lipoprotein metabolism; however, evidence in infants is limited. Infants that were born with a deviant birth weight have a unique lipoprotein metabolism profile. What this study adds? Serum PCSK9 levels were significantly associated with total and LDL cholesterol. PCSK9 levels were higher in preterm and small for gestation infants, suggesting that PCSK9 might be a promising biomarker for evaluating infants with increased later cardiovascular risk.</p

Monogenic Early-Onset Lymphoproliferation and Autoimmunity: The Natural History of STAT3 GOF Syndrome.

Background In 2014, germline signal transducer and activator of transcription (STAT) 3 gain-of-function (GOF) mutations were first described to cause a novel multisystem disease of early-onset lymphoproliferation and autoimmunity. Objective This pivotal cohort study defines the scope, natural history, treatment, and overall survival of a large global cohort of patients with pathogenic STAT3 GOF variants. Methods We identified 191 patients from 33 countries with 72 unique mutations. Inclusion criteria included symptoms of immune dysregulation and a biochemically confirmed germline heterozygous GOF variant in STAT3. Results Overall survival was 88%, median age at onset of symptoms was 2.3 years, and median age at diagnosis was 12 years. Immune dysregulatory features were present in all patients: lymphoproliferation was the most common manifestation (73%); increased frequencies of double-negative (CD4−CD8−) T cells were found in 83% of patients tested. Autoimmune cytopenias were the second most common clinical manifestation (67%), followed by growth delay, enteropathy, skin disease, pulmonary disease, endocrinopathy, arthritis, autoimmune hepatitis, neurologic disease, vasculopathy, renal disease, and malignancy. Infections were reported in 72% of the cohort. A cellular and humoral immunodeficiency was observed in 37% and 51% of patients, respectively. Clinical symptoms dramatically improved in patients treated with JAK inhibitors, while a variety of other immunomodulatory treatment modalities were less efficacious. Thus far, 23 patients have undergone bone marrow transplantation, with a 62% survival rate. Conclusion : STAT3 GOF patients present with a wide array of immune-mediated disease including lymphoproliferation, autoimmune cytopenias, and multisystem autoimmunity. Patient care tends to be siloed, without a clear treatment strategy. Thus, early identification and prompt treatment implementation are lifesaving for STAT3 GOF syndrome. Key word

Avtomatika i telemechanika

(Abridged) The Maunakea Spectroscopic Explorer (MSE) is an end-to-end science platform for the design, execution and scientific exploitation of spectroscopic surveys. It will unveil the composition and dynamics of the faint Universe and impact nearly every field of astrophysics across all spatial scales, from individual stars to the largest scale structures in the Universe. Major pillars in the science program for MSE include (i) the ultimate Gaia follow-up facility for understanding the chemistry and dynamics of the distant Milky Way, including the outer disk and faint stellar halo at high spectral resolution (ii) galaxy formation and evolution at cosmic noon, via the type of revolutionary surveys that have occurred in the nearby Universe, but now conducted at the peak of the star formation history of the Universe (iii) derivation of the mass of the neutrino and insights into inflationary physics through a cosmological redshift survey that probes a large volume of the Universe with a high galaxy density. MSE is positioned to become a critical hub in the emerging international network of front-line astronomical facilities, with scientific capabilities that naturally complement and extend the scientific power of Gaia, the Large Synoptic Survey Telescope, the Square Kilometer Array, Euclid, WFIRST, the 30m telescopes and many more