382 research outputs found
Discovery, photometry, and astrometry of 49 classical nova candidates in M81 galaxy
This paper reports on a search for new classical nova candidates in the M81
galaxy based on archival, as well as recent, new images. We used images from
1999-2007 to search for optical transients in M81. The positions of the
identified classical nova candidates were used to study their spatial
distribution. Kolmogorov - Smirnov test (KS) and bottom-to-top (BTR) ratio
diagnostic were used to analyze the nova candidate distribution and
differentiate between the disk and the bulge populations. In total, 49
classical nova candidates were discovered. In this study, we present the
precise positions and photometry of these objects, plus the photometry of an
additional 9 classical nova candidates found by Neill and Shara (2004). With
our large sample, we find a different spatial distribution of classical nova
candidates when compared to the results of earlier studies. Also, an
extraordinarily bright nova was found and studied in detail.Comment: Accepted for publication in Astronomy & Astrophysics, 23 pages, 8
figure
PQL: A Declarative Query Language over Dynamic Biological Schemata
We introduce the PQL query language (PQL) used in the GeneSeek genetic data integration project. PQL incorporates many features of query languages for semi-structured data. To this we add the ability to express metadata constraints like intended semantics and database curation approach. These constraints guide the dynamic generation of potential query plans. This allows a single query to remain relevant even in the presence of source and mediated schemas that are continually evolving, as is often the case in data integration
Concept Mapping to Develop a Framework for Characterizing Electronic Data Capture (EDC) Systems
CTSAs have brought about a push to find better EDC systems, which facilitate translational research. Based on the data management needs of a specific clinical/translational research lab, concept mapping was used to create a framework to evaluate EDCs. After refinement based on a spiral model, including consultations with the UW CTSA and a survey of other CTSAs, the tool was used to characterize EDCs used at CTSA sites across the country
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly lead to spurious connections and incorrect results. The BioRank project investigates formalisms for modeling uncertainty during scientific data integration and for ranking uncertain query results. Our motivating application is protein function prediction. In this paper we show that: (i) explicit modeling of uncertainties as probabilities increases our ability to predict less-known or previously unknown functions (though it does not improve predicting the well-known). This suggests that probabilistic uncertainty models offer utility for scientific knowledge discovery; (ii) small perturbations in the input probabilities tend to produce only minor changes in the quality of our result rankings. This suggests that our methods are robust against slight variations in the way uncertainties are transformed into probabilities; and (iii) several techniques allow us to evaluate our probabilistic rankings efficiently. This suggests that probabilistic query evaluation is not as hard for real-world problems as theory indicates
ON THE PROGENITORS OF LOCAL GROUP NOVAE. I. THE M31 CATALOG
We report the results of a survey of M31 novae in quiescence. This is the first catalog of extragalactic
systems in quiescence to be published, and contains data for 38 spectroscopically confirmed novae from 2006 to 2012. We used Liverpool Telescope (LT) images of each nova during eruption to define an accurate position for each system. These positions were then matched to archival Hubble Space Telescope (HST) images and we performed photometry on any resolved objects that were coincident with the eruption positions. The survey aimed to detect quiescent systems with red giant secondaries,
as only these, along with a few systems with bright sub-giant secondaries, will be resolvable in the HST images. There are only a few confirmed examples of such red giant novae in our Galaxy, the majority of which are recurrent novae. However, we find a relatively high percentage of the nova eruptions in M31 may occur in systems containing red giant secondaries. Of the 38 systems in this
catalog, 11 have a progenitor candidate whose probability of being a coincidental alignment is less than 5%. We show that, at the 3� limit, up to only two of these eleven systems may be due to chance alignments, leading to an estimate of the M31 nova population with evolved secondaries of up to 24%, compared to the � 3% seen Galactically. Such an elevated proportion of nova systems with evolved secondaries may imply the presence of a much larger population of recurrent novae than previously
thought. This would have considerable impact, particularly with regards their potential as Type Ia supernova progenitors.
Additionally, for several novae, serendipitous HST images had been taken when the nova was still fading; this allowed us to produce light curves that go fainter than is usually achievable for most extragalactic systems. Finally, as this survey is astrometric in nature, we also update the position of each nova in the catalog
Do the Outburst Properties of M31N 2008-12a Depend on the Time Since the Previous Eruption?
Photometric observations spanning the UV to the near IR during the nine most
recent eruptions (2014-2022) of the extragalactic nova M31N 2008-12a are
presented and analyzed in order to explore whether the lightcurve properties
for a given eruption, specifically the peak magnitudes and fade rates, are
correlated with the time interval since the previous eruption. No significant
correlation between the pre-eruption interval and the rate of decline was
found, however it appears that the brightness at the peak of an outburst may be
positively correlated with the time interval since the previous eruption.Comment: 5 pages, 1 figure, 1 table (data behind the figure); accepted for
publication in Research Notes of the AA
Concerning the Verity of the MMRD Relation for Novae
It has long been claimed that novae reaching the highest luminosity at the
peak of their eruptions appear to fade the fastest from maximum light. The
relationship between peak brightness and fade rate is known as the
Maximum-Magnitude, Rate-of-Decline (MMRD) relation. Lightcurve parameters for
the most recent sample of M31 recurrent novae are presented and used to
buttress the case that the observed MMRD relation can be explained as a
consequence of observational selection effects coupled with expectations from
standard nova models.Comment: 5 pages; 1 figure; 1 table (figure data); abbreviated version
accepted for publication in Research Notes of the AA
The potential for automated question answering in the context of genomic medicine: an assessment of existing resources and properties of answers
Knowledge gained in studies of genetic disorders is reported in a growing body of biomedical literature containing reports of genetic variation in individuals that map to medical conditions and/or response to therapy. These scientific discoveries need to be translated into practical applications to optimize patient care. Translating research into practice can be facilitated by supplying clinicians with research evidence. We assessed the role of existing tools in extracting answers to translational research questions in the area of genomic medicine. We: evaluate the coverage of translational research terms in the Unified Medical Language Systems (UMLS) Metathesaurus; determine where answers are most often found in full-text articles; and determine common answer patterns. Findings suggest that we will be able to leverage the UMLS in development of natural language processing algorithms for automated extraction of answers to translational research questions from biomedical text in the area of genomic medicine
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