Using the XMM Optical Monitor to Study Cluster Galaxy Evolution

We explore the application of XMM-Newton Optical Monitor (XMM-OM) ultraviolet (UV) data to study galaxy evolution. Our sample is constructed as the intersection of all Abell clusters with z < 0.05 and having archival XMM-OM data in either the UVM2 or UVW1 filters, plus optical and UV photometry from the Sloan Digital Sky Survey and GALEX, respectively. The eleven resulting clusters include 726 galaxies with measured redshifts, 520 of which have redshifts placing them within their parent Abell clusters. We develop procedures for manipulating the XMM-OM images and measuring galaxy photometry from them, and confirm our results via comparison with published catalogs. Color magnitude diagrams (CMDs) constructed using the XMM-OM data along with SDSS optical data show promise for evolutionary studies, with good separation between red and blue sequences and real variation in the width of the red sequence that is likely indicative of differences in star formation history. This is particularly true for UVW1 data, as the relative abundance of data collected using this filter and its depth make it an attractive choice. Available tools that use stellar synthesis libraries to fit the UV and optical photometric data may also be used, thereby better describing star formation history within the past Gyr and providing estimates of total stellar mass that include contributions from young stars. Finally, color-color diagrams that include XMM-OM UV data appear useful to the photometric identification of both extragalactic and stellar sources.Comment: 44 pages with 14 figures, to appear in PAS

JWST Discovery of Dust Reservoirs in Nearby Type IIP Supernovae 2004et and 2017eaw

Supernova (SN) explosions have been sought for decades as a possible source of dust in the Universe, providing the seeds of galaxies, stars, and planetary systems. SN 1987A offers one of the most promising examples of significant SN dust formation, but until the James Webb Space Telescope (JWST), instruments have traditionally lacked the sensitivity at both late times (>1 yr post-explosion) and longer wavelengths (i.e., >10 um) to detect analogous dust reservoirs. Here we present JWST/MIRI observations of two historic Type IIP SNe, 2004et and SN 2017eaw, at nearly 18 and 5 yr post-explosion, respectively. We fit the spectral energy distributions as functions of dust mass and temperature, from which we are able to constrain the dust geometry, origin, and heating mechanism. We place a 90% confidence lower limit on the dust masses for SNe 2004et and 2017eaw of >0.014 and >4e-4 M_sun, respectively. More dust may exist at even colder temperatures or may be obscured by high optical depths. We conclude dust formation in the ejecta to be the most plausible and consistent scenario. The observed dust is radiatively heated to ~100-150 K by ongoing shock interaction with the circumstellar medium. Regardless of the best fit or heating mechanism adopted, the inferred dust mass for SN 2004et is the second highest (next to SN 1987A) inferred dust mass in extragalactic SNe thus far, promoting the prospect of SNe as potential significant sources of dust in the Universe.Comment: 12 pages, 7 figures, submitting to MNRA

Researcher Identifiers Data sources report

Produced by Cottage Labs for the JISC Researcher Identifier Task and Finish Grou

Researcher Identifiers Technical interoperability report

Produced by Cottage Labs for the JISC Researcher Identifier Task and Finish Grou

Using the XMM-Newton Optical Monitor to Study Cluster Galaxy Evolution

We explore the application of XMM Newton Optical Monitor (XMM-OM) ultraviolet (UV) data to study galaxy evolution. Our sample is constructed as the intersection of all Abell clusters with z < 0.05 and having archival XMM-OM data in either the UVM2 or UVW1 filters, plus optical and UV photometry from the Sloan Digital Sky Survey and GALEX, respectively. The 11 resulting clusters include 726 galaxies with measured redshifts, 520 of which have redshifts placing them within their parent Abell clusters. We develop procedures for manipulating the XMM-OM images and measuring galaxy photometry from them, and we confirm our results via comparison with published catalogs. Color-magnitude diagrams (CMDs) constructed using the XMM-OM data along with SDSS optical data show promise for evolutionary studies, with good separation between red and blue sequences and real variation in the width of the red sequence that is likely indicative of differences in star formation history. This is particularly true for UVW1 data, as the relative abundance of data collected using this filter and its depth make it an attractive choice. Available tools that use stellar synthesis libraries to fit the UV and optical photometric data may also be used, thereby better describing star formation history within the past billion years and providing estimates of total stellar mass that include contributions from young stars. Finally, color-color diagrams that include XMM-OM UV data appear useful to the photometric identification of both extragalactic and stellar sources

Open bibliography for science, technology, and medicine

The concept of Open Bibliography in science, technology and medicine (STM) is introduced as a combination of Open Source tools, Open specifications and Open bibliographic data. An Openly searchable and navigable network of bibliographic information and associated knowledge representations, a Bibliographic Knowledge Network, across all branches of Science, Technology and Medicine, has been designed and initiated. For this large scale endeavour, the engagement and cooperation of the multiple stakeholders in STM publishing - authors, librarians, publishers and administrators - is sought

pypolyclip

&lt;p&gt;Initial release.&lt;/p&gt;If you use this software, please cite it using the metadata from this file

pypolyclip

Clip polygons against a pixel gridIf you use this software, please cite it using the metadata from this file

Open Bibliography for Science, Technology, and Medicine

The concept of Open Bibliography in science, technology and medicine (STM) is introduced as a combination of Open Source tools, Open specifications and Open bibliographic data. An Openly searchable and navigable network of bibliographic information and associated knowledge representations, a Bibliographic Knowledge Network, across all branches of Science, Technology and Medicine, has been designed and initiated. For this large scale endeavour, the engagement and cooperation of the multiple stakeholders in STM publishing - authors, librarians, publishers and administrators - is sought. BibJSON, a simple structured text data format (informed by BibTex, Dublin Core, PRISM and JSON) suitable for both serialisation and storage of large quantities of bibliographic data is presented. BibJSON, and companion bibliographic software systems BibServer and OpenBiblio promote the quantity and quality of Openly available bibliographic data, and encourage the development of improved algorithms and services for processing the wealth of information and knowledge embedded in bibliographic data across all fields of scholarship. Major providers of bibliographic information have joined in promoting the concept of Open Bibliography and in working together to create prototype nodes for the Bibliographic Knowledge Network. These contributions include large-scale content from PubMed and ArXiv, data available from Open Access publishers, and bibliographic collections generated by the members of the project. The concept of a distributed bibliography (BibSoup) is explored

Jdaviz

&lt;h2&gt;Bug Fixes&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;&lt;p&gt;Fixed bug which did not update all references to a viewer's ID when updating a viewer's reference name. [#2479]&lt;/p&gt; &lt;/li&gt; &lt;li&gt;&lt;p&gt;Deleting a subset while actively editing it now deselects the subset tool, preventing the appearance of &quot;ghost&quot; subsets. [#2497]&lt;/p&gt; &lt;/li&gt; &lt;li&gt;&lt;p&gt;Fixes a bug in plot options where switching from multi to single-select mode failed to properly update the selection. [#2505]&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Cubeviz&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;p&gt;Fixed moment map losing WCS when being written out to FITS file. [#2431]&lt;/p&gt; &lt;/li&gt; &lt;li&gt;&lt;p&gt;Fixed parsing for VLT MUSE data cube so spectral axis unit is correctly converted. [#2504]&lt;/p&gt; &lt;/li&gt; &lt;li&gt;&lt;p&gt;Updated glue-core pin to fix the green layer that would appear if 2D data was added to image viewers while spectral subsets were defined. [#2527]&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Specviz&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Spectrum that has incompatible flux unit with what is already loaded will no longer be loaded as ghost spectrum. It will now be rejected with an error message on the snackbar. [#2485]&lt;/li&gt; &lt;/ul&gt; &lt;h2&gt;Other Changes and Additions&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;Compatibility with Python 3.12. [#2473]&lt;/li&gt; &lt;/ul&gt;If you use this software, please cite it as below