1,720,956 research outputs found
VaTEST III: Validation of eight potential super-earths from TESS data
Mistry, Priyashkumar et al.-- Full list of authors: Mistry, Priyashkumar; Prasad, Aniket; Maity, Mousam; Pathak, Kamlesh; Gharat, Sarvesh; Lekkas, Georgios; Bhattarai, Surendra; Kumar, Dhruv; Lissauer, Jack J.; Twicken, Joseph D.; Soubkiou, Abderahmane; Pozuelos, Francisco J.; Jenkins, Jon; Horne, Keith; Giacalone, Steven; Barkaoui, Khalid; Timmermans, Mathilde; Watkins, Cristilyn N.; Sefako, Ramotholo; Collins, Karen A.; Ciardi, David R.; Clark, Catherine A.; Safonov, Boris S.; Shporer, Avi; Schlieder, Joshua E.; Benkhaldoun, Zouhair; Stockdale, Chris; Ziegler, Carl; Gilbert, Emily A.; Emmanuël, Jehin; Murgas, Felipe; Crossfield, Ian J. M.; Paegert, Martin; Lund, Michael B.; Narita, Norio; Schwarz, Richard P.; Goeke, Robert F.; Fajardo-Acosta, Sergio B.; Howell, Steve B.; Tan, Thiam-Guan; Barclay, Thomas; Kawai, Yugo.NASA's all-sky survey mission, the Transiting Exoplanet Survey Satellite (TESS), is specifically engineered to detect exoplanets that transit bright stars. Thus far, TESS has successfully identified approximately 400 transiting exoplanets, in addition to roughly 6 000 candidate exoplanets pending confirmation. In this study, we present the results of our ongoing project, the Validation of Transiting Exoplanets using Statistical Tools (VaTEST). Our dedicated effort is focused on the confirmation and characterisation of new exoplanets through the application of statistical validation tools. Through a combination of ground-based telescope data, high-resolution imaging, and the utilisation of the statistical validation tool known as TRICERATOPS, we have successfully discovered eight potential super-Earths. These planets bear the designations: TOI-238b (1.61 R), TOI-771b (1.42 R), TOI-871b (1.66 R), TOI-1467b (1.83 R), TOI-1739b (1.69 R), TOI-2068b (1.82 R), TOI-4559b (1.42 R), and TOI-5799b (1.62 R). Among all these planets, six of them fall within the region known as 'keystone planets', which makes them particularly interesting for study. Based on the location of TOI-771b and TOI-4559b below the radius valley we characterised them as likely super-Earths, though radial velocity mass measurements for these planets will provide more details about their characterisation. It is noteworthy that planets within the size range investigated herein are absent from our own solar system, making their study crucial for gaining insights into the evolutionary stages between Earth and Neptune. © The Author(s)This work makes use of observations from the LCOGT
network. Part of the LCOGT telescope time was granted by NOIRLab
through the Mid-Scale Innovations Program (MSIP). MSIP is funded by
NSF. This research has made use of the Exoplanet Follow-up Observation
Program (ExoFOP; DOI: 10.26134/ExoFOP5) website, which is operated
by the California Institute of Technology, under contract with the National
Aeronautics and Space Administration under the Exoplanet Exploration
Program. Funding for the TESS mission is provided by NASA’s Science
Mission Directorate. KAC and CNW acknowledge support from the TESS
mission via subaward s3449 from MIT. This paper is based on observa-
tions made with the MuSCAT3 instrument, developed by the Astrobiology
Center and under financial support by JSPS KAKENHI (JP18H05439)
and JST PRESTO (JPMJPR1775), at Faulkes Telescope North on Maui,
HI, operated by the Las Cumbres Observatory. This paper makes use
of observations made with the MuSCAT2 instrument, developed by the
Astrobiology Center, at TCS operated on the island of Tenerife by the IAC
in the Spanish Observatorio del Teide. This paper makes use of data from
the MEarth Project, which is a collaboration between Harvard University
and the Smithsonian Astrophysical Observatory. The MEarth Project
acknowledges funding from the David and Lucile Packard Fellowship for
Science and Engineering, the National Science Foundation under grants
AST-0807690, AST-1109468, AST-1616624, and AST-1004488 (Alan T.
Waterman Award), the National Aeronautics and Space Administration under
Grant No. 80NSSC18K0476 issued through the XRP Program, and the John
Templeton Foundation. This work has made use of data from the European
Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), pro-
cessed by the Gaia Data Processing and Analysis Consortium (DPAC,
https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the
DPAC has been provided by national institutions, in particular, the institutions
participating in the Gaia Multilateral Agreement. The research leading to
these results has received funding from the ARC grant for Concerted Research
Actions, financed by the Wallonia-Brussels Federation. TRAPPIST is funded
by the Belgian Fund for Scientific Research (Fond National de la Recherche Scientifique, FNRS) under the grant PDR T.0120.21. TRAPPIST-North is a
project funded by the University of Liege (Belgium), in collaboration with
Cadi Ayyad University of Marrakech (Morocco). MG is F.R.S.-FNRS Research
Director and EJ is F.R.S.-FNRS Senior Research Associate. The postdoctoral
fellowship of KB is funded by F.R.S.-FNRS grant T.0109.20 and by the
Francqui Foundation. Based on data collected by the SPECULOOS-South
Observatory at the ESO Paranal Observatory in Chile.The ULiege’s contri-
bution to SPECULOOS has received funding from the European Research
Council under the European Union’s Seventh Framework Programme
(FP/2007-2013) (grant Agreement n◦ 336480/SPECULOOS), from the
Balzan Prize and Francqui Foundations, from the Belgian Scientific Research
Foundation (F.R.S.-FNRS; grant n◦ T.0109.20), from the University of Liege,
and from the ARC grant for Concerted Research Actions financed by the
Wallonia-Brussels Federation. This work is supported by a grant from the
Simons Foundation (PI Queloz, grant number 327127). This research is in
part funded by the European Union’s Horizon 2020 research and innovation
programme (grants agreements n◦ 803193/BEBOP), and from the Science
and Technology Facilities Council (STFC; grant n◦ ST/S00193X/1, and
ST/W000385/1). The material is based upon work supported by NASA under
award number 80GSFC21M0002. This publication benefits from the support
of the French Community of Belgium in the context of the FRIA Doctoral
Grant awarded to MT. E. D acknowledges support from the innovation and
research Horizon 2020 program in the context of the Marie Sklodowska-Curie
subvention 945298. This research has made use of the NASA Exoplanet
Archive, which is operated by the California Institute of Technology, under
contract with the National Aeronautics and Space Administration under the
Exoplanet Exploration Program. We acknowledge the use of public TESS data
from pipelines at the TESS Science Office and at the TESS Science Processing
Operations Center. Resources supporting this work were provided by the
NASA High-End Computing (HEC) Program through the NASA Advanced
Supercomputing (NAS) Division at Ames Research Center for the production
of the SPOC data products. This research was carried out in part at the Jet
Propulsion Laboratory, California Institute of Technology, under a contract
with the National Aeronautics and Space Administration (80NM0018D0004).
This research was supported by NASA Grant 18-2XRP18_2-0007 awarded to
DRC.Peer reviewe
VaTEST. II. Statistical Validation of 11 TESS-detected Exoplanets Orbiting K-type Stars
Mistry, Priyashkumar et al.--Full list of authors: Mistry, Priyashkumar; Pathak, Kamlesh; Prasad, Aniket; Lekkas, Georgios; Bhattarai, Surendra; Gharat, Sarvesh; Maity, Mousam; Kumar, Dhruv; Collins, Karen A.; Schwarz, Richard P.; Mann, Christopher R.; Furlan, Elise; Howell, Steve B.; Ciardi, David; Bieryla, Allyson; Matthews, Elisabeth C.; Gonzales, Erica; Ziegler, Carl; Crossfield, Ian; Giacalone, Steven; Tan, Thiam-Guan; Evans, Phil; Helminiak, Krzysztof G.; Collins, Kevin I.; Narita, Norio; Fukui, Akihiko; Pozuelos, Francisco J.; Dressing, Courtney; Soubkiou, Abderahmane; Benkhaldoun, Zouhair; Schlieder, Joshua E.; Suarez, Olga; Barkaoui, Khalid; Palle, Enric; Murgas, Felipe; Srdoc, Gregor; Goliguzova, Maria V.; Strakhov, Ivan A.; Gnilka, Crystal; Lester, Kathryn; Littlefield, Colin; Scott, Nic; Matson, Rachel; Gillon, Michael; Jehin, Emmanuel; Timmermans, Mathilde; Ghachoui, Mourad; Abe, Lyu; Bendjoya, Philippe; Guillot, Tristan; Triaud, Amaury H. M. J.NASA's Transiting Exoplanet Survey Satellite (TESS) is an all-sky survey mission designed to find transiting exoplanets orbiting nearby bright stars. It has identified more than 329 transiting exoplanets, and almost 6000 candidates remain unvalidated. In this manuscript, we discuss the findings from the ongoing Validation of Transiting Exoplanets using Statistical Tools (VaTEST) project, which aims to validate new exoplanets for further characterization. We validated 11 new exoplanets by examining the light curves of 24 candidates using the LATTE and TESS-Plot tools and computing the false-positive probabilities using the statistical validation tool TRICERATOPS. These include planets suitable for atmospheric characterization using transmission spectroscopy (TOI-2194b), emission spectroscopy (TOI-3082b and TOI-5704b) and for both transmission and emission spectroscopy (TOI-672b, TOI-1694b, and TOI-2443b). Our validated planets have one super-Earth (TOI-2194b) orbiting a bright (V = 8.42 mag), metal-poor ([Fe/H] = −0.3720 ± 0.1) star, and one short-period Neptune-like planet (TOI-5704) in the hot-Neptune desert. In total, we validated one super-Earth, seven sub-Neptunes, one Neptune-like, and two sub-Saturn or super-Neptune-like exoplanets. Additionally, we identify five likely planet candidates (TOI-323, TOI-1180, TOI-2200, TOI-2408, and TOI-3913), which can be further studied to establish their planetary nature. © 2023. The Author(s). Published by the American Astronomical Society.M.V.G. and I.A.S. acknowledge the support of Ministry of Science and Higher Education of the Russian Federation under the grant 075-15-2020-780 (N13.1902.21.0039). Funding for the TESS mission is provided by NASA's Science Mission Directorate. KAC acknowledges support from the TESS mission via subaward s3449 from MIT. Some of the observations in this paper made use of the High-Resolution Imaging instruments 'Alopeke and Zorro and were obtained under Gemini LLP Proposal Number: GN/S-2021A-LP-105. 'Alopeke and Zorro were funded by the NASA Exoplanet Exploration Program and built at the NASA Ames Research Center by Steve B. Howell, Nic Scott, Elliott P. Horch, and Emmett Quigley. 'Alopeke was mounted on the Gemini North telescope of the international Gemini Observatory, a program of NSF's OIR Lab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. On behalf of the Gemini partnership: the National Science Foundation (United States), National Research Council (Canada), Agencia Nacional de Investigación y Desarrollo (Chile), Ministerio de Ciencia, Tecnología e Innovación (Argentina), Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brazil), and Korea Astronomy and Space Science Institute (Republic of Korea). This work makes use of observations from the LCOGT network. Part of the LCOGT telescope time was granted by NOIRLab through the Mid-Scale Innovations Program (MSIP). MSIP is funded by NSF. This paper makes use of observations made with the MuSCAT2 instrument, developed by the Astrobiology Center, at TCS operated on the island of Tenerife by the IAC in the Spanish Observatorio del Teide. This paper is based on observations made with the MuSCAT3 instrument, developed by the Astrobiology Center and under financial supports by JSPS KAKENHI (JP18H05439) and JST PRESTO (JPMJPR1775), at Faulkes Telescope North on Maui, HI, operated by the Las Cumbres Observatory. This research has made use of the Exoplanet Follow-up Observation Program (ExoFOP; DOI:10.26134/ExoFOP5) website, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. This publication makes use of data products collected by the TESS mission and obtained from the MAST data archive at the Space Telescope Science Institute (STScI). The light curve and target pixel file data used in this paper can be found in 10.17909/t9-nmc8-f686. C.M. would like to gratefully acknowledge the entire Dragonfly Telephoto Array team, and Bob Abraham in particular, for allowing their telescope bright time to be put to use observing exoplanets. TRAPPIST-South is funded by the Belgian National Fund for Scientific Research (F.R.S.-FNRS) under grant PDR T.0120.21, with the participation of the Swiss National Science Fundation (SNF). M.G. is F.R.S-FNRS Research Director. E.J. is F.R.S-FNRS Senior Research Associate. The postdoctoral fellowship of KB is funded by F.R.S.-FNRS grant T.0109.20 and by the Francqui Foundation. This publication benefits from the support of the French Community of Belgium in the context of the FRIA Doctoral Grant awarded to MT. F.J.P. acknowledges financial support from the grant CEX2021-001131-S funded by MCIN/AEI/ 10.13039/501100011033. This research received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement n° 803193/BEBOP), and from the Science and Technology Facilities Council (STFC; grant n° ST/S00193X/1). This work makes use of observations from the ASTEP telescope. ASTEP benefited from the support of the French and Italian polar agencies IPEV and PNRA in the framework of the Concordia station program, from INSU, ESA, the University of Birmingham, and STFC.With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S).Peer reviewe
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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