92 research outputs found
barentsen/k2mosaic: v2.0.0
No full text<p>K2mosaic v2.0 is a major revision which changes the interface and adds the ability to list target pixel files and create videos. The <code>k2mosaic</code> command-line tool is now composed of three sub-commands: <code>tpflist</code>, <code>mosaic</code>, and <code>video</code>:</p>
<ul>
<li><code>k2mosaic tpflist {{CAMPAIGN}} {{CHANNEL}}</code> lists all the Target Pixel Files (TPFs) for a given campaign and channel.</li>
<li><code>k2mosaic mosaic {{TPF_LIST}}</code> takes a list of TPF paths/urls and turns them into a mosaicked image (one FITS file per cadence and channel).</li>
<li><code>k2mosaic video {{MOSAIC_LIST}}</code> takes a list of mosaics produced in the previous step and collates them into an MPEG-4 movie or animated gif.</li>
</ul>
<p>This is also the first version to be accompanied by sphinx-powered documentation, hosted as <a href="http://k2mosaic.geert.io">http://k2mosaic.geert.io</a>.</p>
K2flix: Kepler pixel data visualizer
No full text<p>K2flix makes it easy to inspect the CCD pixel data obtained by NASA's Kepler space telescope. The need for this tool arises from the fact that the two-wheeled extended Kepler mission, K2, is affected by new sources of noise -- including pointing jitter and foreground asteroids -- which are more easy to spot by eye than by algorithm. The code takes Kepler's Target Pixel Files (TPF) as input and turns them into contrast-stretched animated gifs or MPEG-4 movies. K2flix can be used both as a command-line tool or using its Python API.</p>
k2flix: v2.1.0
No full text<ul>
<li>Adds the --min_cut and --max_cut options to the k2flix command-line tool to offer more control over contrast stretching.</li>
<li>Restores support for numpy 1.8 and below [cf. issue #6]</li>
</ul>
andycasey/ads: 0.12.7
No full textRemoves trailing slash in API end points, which recently caused queries to broke (@JohannesBuchner)Andy Casey, Vladimir Sudilovsky, Jonny Elliott, Steven Murray, Miguel de Val-Borro, Christoph Deil, Michael Maier, Geert Barentsen, astrowizicist, Dan Foreman-Mackey, Timothy Gebhard, Sergey Koposov, Rui Xue, Roman Chyla, Mike Boyle, Keaton Bell, Johannes Buchner, James Guillochon, Erik Tollerud, & Aram Panasenco. (2024). andycasey/ads: 0.12.7 (0.12.7). Zenodo. https://doi.org/10.5281/zenodo.1454793
[CODE] andycasey/ads: 0.12.6
No full textFixes #127 Switches README from bit-rotten RST to markdown Minor bugs to fix build / PyPI upload process since 0.12.5Andy Casey, Vladimir Sudilovsky, Jonny Elliott, Steven Murray, Miguel de Val-Borro, Christoph Deil, Michael Maier, Geert Barentsen, Dan Foreman-Mackey, astrowizicist, Aram Panasenco, Erik Tollerud, James Guillochon, Keaton Bell, Mike Boyle, Roman Chyla, Rui Xue, Sergey Koposov, & Timothy Gebhard. (2024). andycasey/ads: 0.12.6 (0.12.6). Zenodo. https://doi.org/10.5281/zenodo.1123520
Raw target pixel files for TRAPPIST-1 from K2 Campaign 19
No full textThe Kepler spacecraft observed the TRAPPIST-1 system from Sep 7th through Sep 26th, 2018, as part of its K2 Campaign 19. To help scientists explore these data quickly, the Kepler/K2 Guest Observer Office at NASA Ames reformatted the raw data into a pseudo Target Pixel Files using the Kadenza tool (https://doi.org/10.5281/zenodo.344973).
For more information about these data, visit https://keplerscience.arc.nasa.gov.</p
AltaiPony - Flare science in Kepler, K2 and TESS light curves
No full textAltaiPony is a toolbox for statistical flares studies on photometric time series from Kepler, K2, and TESS, including flare search and characterization, injection/recovery diagnostics, and statistical analysis of flare frequency distributions along with extensive documentation and tutorials
Chasing K2 Exoplanets and Brown Dwarfs from the Ground
No full textNASA’s K2 mission has discovered a plethora of transiting exoplanets along the ecliptic plane, and NASA’s TESS mission will surpass these discoveries in its all-sky search for transiting exoplanets. The discoveries from both K2 and TESS are important for identifying key exoplanet targets that should be characterized in detail with NASA’s James Webb Space Telescope (JWST) and other advanced facilities. I will present the latest results from an ongoing program to use the 3.5-meter WIYN telescope at Kitt Peak National Observatory for near-infrared transit photometry of K2 exoplanets and candidates. Our program of high-precision, high-cadence, high-spatial-resolution near-infrared transit photometry is providing improved measurements of the orbital and physical properties of K2 exoplanets and candidates as well as identifying false positives within the K2 candidate list. To date, 25 unique K2 targets have been observed with WIYN. I will describe additional observations that will take place in January 2018 as part of a campaign to observe exoplanet transits in the near-infrared simultaneously with the Kepler spacecraft during K2 Campaign 16. Our WIYN program greatly complements an ongoing Spitzer program to observe transits of K2 exoplanets and also demonstrates WIYN’s capabilities for observations of exoplanets to be discovered by TESS. I will also present results from an ongoing project to confirm and characterize Warm Jupiters discovered by the K2 mission. The confirmation process includes photometric follow-up with the Las Cumbres Observatory (LCO) as part of a Key Project. Several discoveries have been made from this project to date, including the identification of a 41-day transiting brown dwarf that has the smallest radius of a brown dwarf yet discovered. Both the WIYN and LCO programs will ultimately contribute to the identification of prime targets for detailed characterization with JWST
Pseudo Target Pixel Files for K2 TRAPPIST-1 raw data
No full textThe Kepler/K2 mission observed the newfound planet system TRAPPIST-1 using a 11x11 short-cadence mask with EPIC ID 200164267 from Dec 15th, 2016, through Mar 4th, 2017. To help the community explore this target, the Kepler/K2 Guest Observer Office at NASA Ames reformatted the raw data into a pseudo Target Pixel Files using the Kadenza tool (https://doi.org/10.5281/zenodo.344973).
Important information about the raw data caveats is provided on the Guest Observer Office blog (https://keplerscience.arc.nasa.gov/raw-data-for-k2-campaign-12-and-trappist-1-now-available.html)
ekaterinailin/AltaiPony: AltaiPony2.0.1
No full textPeer-reviewed version of AltaiPony to be published in the Journal of Open Source Software
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