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1. High Energy Astrophysics
... CfA Home . HCO Home . SAO Home . ... Welcome to CfA . CfA History . ... Laboratory Astrophysics . Extreme Astrophysics . ... 617) 495-7210 . ... 617) 495-7044 . ... 617) 495-7265 . ... HEA Research . ... HEA Home Page . CFA/HEA Home Page . ... High Energy Astrophysics Division (HEAD) . Chandra X-ray Center . ... Chandra Cluster Cosmology Project . Chandra Multiwavelength Project (ChaMP) . ... Chandra-Planck Clusters Project . ... CfA Virtual Observatory Project . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/ -- 33.5 Кб -- 09.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/index.html -- 33.5 Кб -- 09.04.2016
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2. SAO Atmospheric Imaging Assembly
... Mission/Goals . ... AIA at LMSAL . ... Solar Science . ... The Atmospheric Imaging Assembly (AIA) investigation is a part of the Solar Dynamics Observatory mission that is the lead mission of the NASA Living With a Star program. ... AIA is a coordinated effort led by Lockheed Martin Solar and Astrophysics Laboratory (LMSAL) with the Smithsonian Astrophysical Observatory (SAO) as the major subcontractor; the CCD cameras for the AIA telescopes are being provided by MSSL, RAL and E2V in the UK. ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AIA/ -- 11.0 Кб -- 01.10.2012
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3. Security Notice
an error occurred while processing this directive] [an error occurred while processing this directive] . You have accessed a U.S. Government System. This site is intended to be used for viewing and retrieving information. Computer Fraud and Abuse Act of 1986 . ... US Government System Monitoring . ... All persons are hereby notified that use of this system constitutes consent to monitoring and auditing. [an error occurred while processing this directive] ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AIA/Notice.html -- 2.4 Кб -- 01.10.2012
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4. CHASC: AstroStatistics
... Park, T., Kashyap, V.L., Siemiginowska, A., van Dyk, D., Zezas, A., Heinke, C., & Wargelin, B.J., 2006, ApJ, 652, 610 . ... Protassov, R., van Dyk, D.A., Connors, A., Kashyap, V.L., & Siemiginowska, A., 2002, ApJ, 571, 545 . van Dyk, D.A., Connors, A., Kashyap, V.L., & Siemiginowska, A., 2001, ApJ, 548, 224 . ... pdf] . ... Kashyap, V.L., van Dyk, D.A., Connors, A., Freeman, P.E., Siemiginowska, A., Xu, J., & Zezas, A., On Computing Upper Limits to Source Intensities , 2010, ApJ, 719, 900 . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/ -- 40.8 Кб -- 09.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/index.html -- 40.8 Кб -- 09.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/index.html -- 40.8 Кб -- 09.04.2016
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5. Topics in AstroStatistics
Modern AstroStatistics has emerged as a new field in recent times, informed by a Bayesian foundation, utilizing powerful computational tools like MCMC, and applied to diverse analysis and inference problems in Astronomy. ... The goal of our Special Session is to review current practices, highlight modern techniques, and explore how the transition into the realm of Big Data Astronomy can be facilitated. ... Big Computing in Astronomy: Perspectives and Challenges . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/AAS224/ -- 12.5 Кб -- 10.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/AAS224/ -- 12.5 Кб -- 10.04.2016
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6. BEHR: Bayesian Estimation of Hardness Ratios
... BEHR is a standalone command-line C program designed to quickly estimate the hardness ratios and their uncertainties for astrophysical sources. It is especially useful in the Poisson regime of low counts, and computes the proper uncertainty regardless of whether the source is detected in both passbands or not. ... src are the counts within the source region, and *bkg are counts within the background region. ... soft-band counts in source region . hard-band counts in source region . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/ -- 12.0 Кб -- 09.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/index.html -- 12.0 Кб -- 09.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/index.html -- 12.0 Кб -- 09.04.2016
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7. http://hea-www.harvard.edu/AstroStat/BEHR/BEHR_tutorial.txt
... BEHR" with 6 required arguments in any order. ... In addition to the required arguments , you can input 20 optional arguments that correspond to - softeff= : soft effective area. (softeff=1 by default ) - hardeff= : hard effective area. (hardeff=1 by default ) - softidx= : soft index, i.e., the shape parameter of a gamma prior dist'n for the soft source intensity. (softidx=0.5 by default ) - hardidx= : hard index, i.e., the shape parameter of a gamma prior dist'n for the ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/BEHR_tutorial.txt -- 6.9 Кб -- 16.08.2007
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/BEHR_tutorial.txt -- 6.9 Кб -- 16.08.2007
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8. http://hea-www.harvard.edu/AstroStat/BEHR/behr_test.pro
... Type ; help,behr_hug() ; to obtain a list of accepted keywords. See the documentation ; for BEHR _HUG or the BEHR Tutorial Guide for a description of ; the variables. ; ;restrictions ; it is assumed that the input file contains data as an ASCII table, ; with columns ; -- soft-band counts in source region ; -- hard-band counts in source region ; ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/behr_test.pro -- 7.3 Кб -- 04.05.2006
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/behr_test.pro -- 7.3 Кб -- 04.05.2006
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9. http://hea-www.harvard.edu/AstroStat/BEHR/park_etal_apj.pdf
... A detailed mathematical derivation of the posterior probability distributions of the hardness ratios and the computational metho ds we use to calculate them are described in Appendix A, and a detailed comparison of the effects of priors is described in Appendix B. 2. ... Given pre-specified values of the parameters, source and background counts were generated and then used to construct 95% classical and posterior intervals of each hardness ratio using the metho ds discussed in this article. ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/park_etal_apj.pdf -- 599.8 Кб -- 11.06.2006
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/park_etal_apj.pdf -- 599.8 Кб -- 11.06.2006
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10. http://hea-www.harvard.edu/AstroStat/BEHR/park_etal_apj.ps
... A detailed mathematical derivation of the posterior probability distributions of the hardness ratios and the computational methods we use to calculate them are described in Appendix A, and a detailed comparison of the e#ects of priors is described in Appendix B. 2. ... Given pre­specified values of the parameters, source and background counts were generated and then used to construct 95% classical and posterior intervals of each hardness ratio using the methods discussed in this article. ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/park_etal_apj.ps -- 1456.0 Кб -- 11.06.2006
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/park_etal_apj.ps -- 1456.0 Кб -- 11.06.2006
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11. http://hea-www.harvard.edu/AstroStat/BEHR/tpark_6y.ps
... New Bayesian Method Computing Posterior Distributions of Hardness Ratios: . ... Hardness True Point estimates 95% error bar Method ratio value mode mean lower upper R 1 1.0 0.3932 1.6068 Classical C 0 0.0 ­0.2635 0.2635 High method HR 0 0.0 ­0.3034 0.3034 counts R 1 0.9376 1.0315 0.5622 1.5729 Bayesian C 0 0.0000 0.0000 ­0.2590 0.2590 method HR 0 0.0000 0.0004 ­0.2110 0.2123 R 1 1.0 ­1.8070 3.8070 Classical C 0 0.0 ­1.2191 1.2191 Low method HR 0 0.0 ­1.4035 1.4035 ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/BEHR/tpark_6y.ps -- 323.8 Кб -- 30.11.2005
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/BEHR/tpark_6y.ps -- 323.8 Кб -- 30.11.2005
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12. BLoCXS: Bayesian Low-Counts X-ray Spectral Analysis
... BLoCXS is a Bayesian code that uses Markov-Chain Monte Carlo and Data Augmentation techniques to analyze CCD-resolution X-ray spectra in the Poisson regime. BLoCXS can be used to . fit common emission models to low-counts spectra . identify narrow emission lines in low-resolution spectra . identify Gaussian emission lines (with fixed/unknown location and width) . compute profile posterior distributions, . simulate data from posterior predictive distributions, . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BLoCXS/ -- 3.6 Кб -- 10.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/BLoCXS/index.html -- 3.6 Кб -- 10.04.2016
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/BLoCXS/index.html -- 3.6 Кб -- 10.04.2016
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13. mini-Workshop on Computational AstroStatistics
The California-Boston-Smithsonian AstroStatistics Collaboration hosted a mini-workshop on Computational Astro-statistics at the CfA . With the advent of new missions like the Solar Dynamic Observatory (SDO), Panoramic Survey and Rapid Response (Pan-STARRS) and Large Synoptic Survey (LSST), astronomical data collection is fast outpacing our capacity to analyze them. ... The goal of the Workshop was to explore new problems in Astronomical data analysis that arise from data complexity. ... pdf] . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/ -- 25.1 Кб -- 01.10.2012
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/ -- 25.1 Кб -- 01.10.2012
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14. http://hea-www.harvard.edu/AstroStat/CAS2010/ablocker_CAS2010aug25.pdf
... from those nearby (ie, bumps and spikes ) Also attempting to distinguish periodic and quasi-periodic time series from isolated events Semi-parametric Robust Event Detection for Massive Time-Series Datasets Application: Getting more out of microlensing surveys The data We used data from the MACHO survey for training, and are actively analyzing the EROS2 survey MACHO ... kl ) will model structure due to trends, and (kl +1 , . ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/ablocker_CAS2010aug25.pdf -- 1319.3 Кб -- 25.08.2010
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/ablocker_CAS2010aug25.pdf -- 1319.3 Кб -- 25.08.2010
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15. http://hea-www.harvard.edu/AstroStat/CAS2010/asiemiginowska_CAS2010aug24.pdf
... 2 4 -2 5 , 2 0 1 0 An e ta Si e m i g i n o wska , CfA Workshop Day 1 9.30 - Noon Session 1A Moderator : Andreas Zezas (Crete) Kirk Borne (George Mason) - LSST: Informatics and Statistics Research Challenges Keith Arnaud (GSFC) - LISA: A Big Problem on a Small Data Set Brandon Kelly ( SAO ) - Constraining astronomical populations with truncated data sets Noon - 1: 30pm : Lunch 1: 30pm - 4pm : Session 1B ... 2 4 -2 5 , 2 0 1 0 An e ta Si e m i g i n o wska , CfA Discussion Time Au g . ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/asiemiginowska_CAS2010aug24.pdf -- 126.8 Кб -- 26.08.2010
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/asiemiginowska_CAS2010aug24.pdf -- 126.8 Кб -- 26.08.2010
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16. http://hea-www.harvard.edu/AstroStat/CAS2010/dgeller_CAS2010aug24.pdf
Spherical wavelets for CMB temperature and polarization data analysis Daryl Geller Stony Brook University mini-Workshop on Computational AstroStatistics Harvard-Smithsonian Center for Astrophysics August 24, 2010 Joint work with (in various combinations) Domenico Marinucci Frode Hansen Azita Mayeli Xiaohong Lan S. Scodeller O. Rudjord Daryl Geller Stony ... Law of large numbers: as l , Cl Daryl Geller Stony Brook University ( 1 2l + 1 l |Alm | ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/dgeller_CAS2010aug24.pdf -- 712.5 Кб -- 25.08.2010
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/dgeller_CAS2010aug24.pdf -- 712.5 Кб -- 25.08.2010
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17. http://hea-www.harvard.edu/AstroStat/CAS2010/rdabrusco_CAS2010aug24.pdf
IVOA IG-KDD Where Data Mining meets the Virtual Observatory! ... Its main goal is: "testing scalable data mining algorithms and the accompanying new standards for VO interfaces and protocols, so that these algorithms can be discovered and used transparently within VO science workflows or in standalone data exploration applications." giovedЛ 19 agosto 2010 Charter · Support the definition of an ontology of the KDD tasks required by the astronomical community. ...
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/rdabrusco_CAS2010aug24.pdf -- 197.6 Кб -- 25.08.2010
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/rdabrusco_CAS2010aug24.pdf -- 197.6 Кб -- 25.08.2010
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18. http://hea-www.harvard.edu/AstroStat/CAS2010/vkashyap_CAS2010aug24.pdf
CAS 2010: Day 1, Session 3 Open Discussion 4:15pm Agenda · · · · · Intl. Statistics Institute Astrostatistics Network · · · · · http://isi-web.org/com/ast Contact: Joseph Hilbe (jhilbe@aol.com) Cyg OB2: weak source, different PSFs IVO Knowledge Discover y in Databases Dark Energy Data Management System Nick Wright Raffaele D'Abrusco Shantanu Desai Questions/Comments
[ Текст ]  Ссылки http://hea-www.harvard.edu/AstroStat/CAS2010/vkashyap_CAS2010aug24.pdf -- 16.6 Кб -- 25.08.2010
[ Текст ]  Ссылки http://hea-www.harvard.edu/astrostat/CAS2010/vkashyap_CAS2010aug24.pdf -- 16.6 Кб -- 25.08.2010
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19. pyBLoCXS Demo @ IACHEC 2014
This is a walkthrough of a demo on pyBLoCXS and calibration uncertainties conducted at IACHEC 2014 on May 12 by Vinay Kashyap (CXC/CHASC/CfA). ... The data files are in a gzipped tar file . ... On Mac OS X, Astro::FITS::CFITSIO will be typically installed into ~/perl5/lib/perl5/darwin-thread-multi-2level/ . ... acis.arf . ... read ARF file obs866/acis.arf . ... To run pyBLoCXS, we have to choose a sampler. ... These ARFs can also be consolidated and stored in a single file and used within pyBLoCXS . ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/Demo/pyBLoCXS/IACHEC2014/ -- 25.4 Кб -- 10.04.2016
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20. http://hea-www.harvard.edu/AstroStat/Demo/pyBLoCXS/IACHEC2014/pca2aref.pro
pro pca2aref,sqlambf,pcompf,avgarff, defarff ,areffil,$ vthresh = vthresh , ncomp = ncomp ,verbose=verbose, _extra=e ;+ ;procedure pca2aref ; reads in the PCA decomposition of the calibration library ARFs ; and writes it out to a FITS file in the AREF format ; ;syntax ; pca2aref,sqlambf,pcompf,avgarff, defarff ,areffil, vthresh = vthresh , ncomp = ncomp ; ;parameters [all required] ; sqlambf [INPUT] full path and name of sqrt(lambda) ...
[ Сохраненная копия ]  Ссылки http://hea-www.harvard.edu/AstroStat/Demo/pyBLoCXS/IACHEC2014/pca2aref.pro -- 15.6 Кб -- 15.06.2014
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