S. S. Murray
Harvard University
6 Papers
38 Citations
S. S. Murray is an academic researcher from Harvard University. The author has contributed to research in topics: Parsing & Bibliographic database. The author has an hindex of 4, co-authored 6 publications. Previous affiliations of S. S. Murray include Johns Hopkins University.
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Papers
Chandra Observations of the X-Ray-luminous Star-forming Galaxy Merger Arp 299
TL;DR: In this paper, the authors reported the results of a Chandra observation of the X-ray-luminous star-forming galaxy Arp 299 (NGC 3690/IC 694) and detected 18 discrete sources with luminosities above 1039 ergs s-1 (0.5-8.0 keV band), which contribute approximately 40% of the total galactic emission in this band.
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Irregular Sloshing Cold Fronts in the nearby Merging Groups NGC 7618 and UGC 12491: Evidence for Kelvin-Helmholtz Instabilities
Elke Roediger,Elke Roediger,Ralph P. Kraft,Marie E. Machacek,William R. Forman,Paul Nulsen,Christine Jones,S. S. Murray,S. S. Murray +8 more
TL;DR: In this paper, Chandra observations of the hot atmospheres of the merging galaxy groups centered around NGC 7618 and UGC 12491 were used to detect the presence of arc-like sloshing cold fronts (CFs) around each group center and ~100 kpc long spiral tails in both groups.
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Irregular sloshing cold fronts in the nearby merging groups NGC 7618 and UGC 12491: evidence for Kelvin-Helmholtz instabilities
Elke Roediger,Elke Roediger,Ralph P. Kraft,Marie E. Machacek,William R. Forman,Paul Nulsen,Christine Jones,S. S. Murray,S. S. Murray +8 more
TL;DR: In this paper, Chandra observations of the hot atmospheres of the merging galaxy groups centered around NGC 7618 and UGC 12491 were used to measure the effective viscosity and/or magnetic field strength in the ICM.
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Automated resolution of noisy bibliographic references
Markus Demleitner,Michael P. Kurtz,Alberto Accomazzi,Günther Eichhorn,Carolyn S. Grant,S. S. Murray +5 more
- 27 Jan 2004
TL;DR: The process generating the noisy references is analyzed and it is concluded that the three-step procedure of correcting the OCR results, parsing the corrected string and matching it against the database provides unsatisfactory results.
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•Posted Content
Automated Resolution of Noisy Bibliographic References
Markus Demleitner,Michael P. Kurtz,Alberto Accomazzi,Günther Eichhorn,Carolyn S. Grant,S. S. Murray +5 more
TL;DR: In this article, the authors describe a system used by the NASA Astrophysics Data System to identify bibliographic references obtained from scanned article pages by OCR methods with records in a database.