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6061. http://hea-www.harvard.edu/ChandraSNR/G012.8-00.0/6685/work/g012_sou.pi.par
xswabs[xswabs] (XSPEC model name: wabs) (integrate: off) Param Type Value Min Max Units ----- ---- ----- --- --- ----- 1 nH thawed 7.8972 1e-07 10 10^22/cm^2 powlaw[pow] (integrate: on) Param Type Value Min Max Units ----- ---- ----- --- --- ----- 1 gamma thawed 1.3375 -10 10 2 ref frozen 4 1 7.8329 3 ampl thawed 3.9255e-04 2.5522e-06 2.5522e-02 END_SHOW_MODELS_BLOCK
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Ссылки http://hea-www.harvard.edu/ChandraSNR/G012.8-00.0/6685/work/g012_sou.pi.par -- 1.7 Кб -- 04.05.2010
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6062. http://hea-www.harvard.edu/XJET/fluxmap.txt
file: fluxmap.txt crea: deh date: 2008 Jul 29 tlm : 2010 Apr 23 Subj: Content for Xjet webpage on fluxmaps 1.0 GENERAL 2.0 FLUXMAPS & PHOTOMETRY 3.0 RADIO MAPS 4.0 EVENT FILE 5.0 DOCUMENTATION 6.0 CAVEATS 1.0 GENERAL From 2008.5, we are adding Chandra X-ray fluxmaps and associated files to the downloadable images. ... Thus the units for the flux maps are erg/cm^2/s per logical pixel. Summing the 3 band maps produces the total fluxmap which we smooth with a Gaussian and provide for visual purposes. ...
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Ссылки http://hea-www.harvard.edu/XJET/fluxmap.txt -- 7.0 Кб -- 23.04.2010
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6063. http://hea-www.harvard.edu/AstroStat/Stat310_0910/xx_20100420.pdf
... Estimates of parameters with noisy data are usually correlated. ... S1j , T1 , 1 , C1 ), Ї Ї Ї , (Snj , Tn , n , Cn ) 2 Step IV : ?c , c |C1 , Ї Ї Ї , Cn 2 Step V : |1 , Ї Ї Ї , J n n Step VI : A|B , T1 , Ї Ї Ї , Tn , 1 , Ї Ї Ї , Step VII : B |A, T1 , Ї Ї Ї , Tn , 1 , Ї Ї Ї , logo 10/20 Graphical Illustration of Step I (A,B) T 1 T i j f f 1 i 11 1 f i1 1j C 1 c C i logo 11/20 Graphical Illustration of Step II (A,B) T 1 T i j f f 1 i 11 1 f i1 1j C 1 c C i ... logo 20/20 ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/xx_20100420.pdf -- 620.1 Кб -- 20.04.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/xx_20100420.pdf -- 620.1 Кб -- 20.04.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/xx_20100420.pdf -- 620.1 Кб -- 20.04.2010
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6064. http://hea-www.harvard.edu/AstroStat/Stat310_0910/ab_20100406.pdf
... This differentiates our problem from traditional "anomaly detection" approaches and require more refined approaches. ... Outline Overview Challenges of Massive Data Combining approaches Application : Event Detection for Astronomical Data Conclusion Previous approaches to event detection Outline Overview Challenges of Massive Data Combining approaches Application : Event Detection for Astronomical Data Conclusion Previous approaches to event ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/ab_20100406.pdf -- 1773.0 Кб -- 06.04.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ab_20100406.pdf -- 1773.0 Кб -- 06.04.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ab_20100406.pdf -- 1773.0 Кб -- 06.04.2010
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6065. http://hea-www.harvard.edu/PINTofALE/pro/util/rebinw.pro
... N(F) ; * Y is ignored on input , but will be overwritten on output ; y [I/O] the new absissa values, taken from NUMBINS if it is set. ; 1: if scalar or 1-element vector on input , assumed to be ; number of bins in output ; * linear binning if +ve, log binning if -ve ; 2: if 1-element vector on input , assumed to be the desired ; output ...
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Ссылки http://hea-www.harvard.edu/PINTofALE/pro/util/rebinw.pro -- 9.6 Кб -- 25.03.2010
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6066. http://hea-www.harvard.edu/AstroStat/Stat310_0910/dr_20100323_mono.pdf
Statistical Inference with Monotone Incomplete Multivariate Normal Data This talk is based on joint work with my wonderful co-authors: Wan-Ying Chang (US Census Bureau) Megan Romer (Penn State University) Tomoya Yamada (Sapporo Gakuin University) Statistical Inference with Monotone Incomplete Multivariate Nor mal Data н p. 1/4 Background We have a population of "patients" We draw a random sample of N patients, and measure m variables on each patient: 1 2 3 4 5 6 . ... J. Multivariate Analysis. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/dr_20100323_mono.pdf -- 222.4 Кб -- 22.03.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/dr_20100323_mono.pdf -- 222.4 Кб -- 22.03.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/dr_20100323_mono.pdf -- 222.4 Кб -- 22.03.2010
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6067. http://hea-www.harvard.edu/AstroStat/Stat310_0910/dr_20100323_mle.pdf
Maximum Likelihood Estimation and the Bayesian Information Criterion Donald Richards Penn State University Maximum Likelihood Estimation and the Bayesian Infor mation Criterion ґ p. 1/3 The Method of Maximum Likelihood R. A. Fisher (1912), "On an absolute criterion for fitting frequency cur ves," Messenger of Math. ... For many models, is consistent. ... Maximum Likelihood Estimation and the Bayesian Infor mation Criterion ґ p. 33/3 There are also difficulties with the BIC Findley (1991, Ann. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/dr_20100323_mle.pdf -- 284.0 Кб -- 22.03.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/dr_20100323_mle.pdf -- 284.0 Кб -- 22.03.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/dr_20100323_mle.pdf -- 284.0 Кб -- 22.03.2010
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6068. http://hea-www.harvard.edu/ChaMPlane/posters/0909-Chandra10yr-ChaMPlane.pdf
ChaMPlane: The Chandra Multiwavelength Plane Survey Servillat Mathieu, Grindlay J.E., van den Berg M., CfA, Cambridge, USA, Hong J., Zhao P., Allen B. (CfA), Laycock S. (Gemini) mservillat@cfa.harvard.edu The Chandra Multiwavelength Plane Survey (ChaMPlane) is designed to identify the point X-ray sources discovered by the C h a n d r a X-ray Observatory in the Galactic Plane and in particular in the Galactic Center [1]. ... ChaMPlane fields in Galactic coordinates. ... 2005 [4] Hong et al. ...
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Ссылки http://hea-www.harvard.edu/ChaMPlane/posters/0909-Chandra10yr-ChaMPlane.pdf -- 776.4 Кб -- 15.03.2010
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6069. http://hea-www.harvard.edu/ChaMPlane/talks/0601-aas-maureen-symbiotics.pdf
... ChaMPlane Bulge Windows Survey Galactic Center 0 gal. latitude -1 GOALS : Av=3.9 Av=2.6 Bulge sources compare with other old populations DATA : -2 -3 3x100 ks Chandra/ACIS-I HST/ACS + Av=1.6 -2 -1 -4 gal. longitude 0 1 reddening map (Stanek 1998) Optical ids with OGLE-II: M-giants Optical /nIR proper ties: (semi-)regular photometric variability mass loss 10 - 10 -8 -7 Msun/yr high outflow velocities (180 - 200 km/s) low-res spectra : like normal M-star, Z=0.02 Z=0.05 ...
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Ссылки http://hea-www.harvard.edu/ChaMPlane/talks/0601-aas-maureen-symbiotics.pdf -- 518.6 Кб -- 15.03.2010
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6070. http://hea-www.harvard.edu/~pgreen/CSCSDSS/csc_sdssgals1.pdf
NEW INSIGHTS FROM CSC/SDSS SPECTROSCOPIC GALAXIES THE STAR-FORMATION/ACCRETION SEQUENCE: Low-luminosity emission-line nuclei with AGN-like behavior might be the most common mechanism of cosmic black hole growth. ... Mergers that eventually breed massive "red and dead" passive elipticals may occasionally still harbor active nuclei (the so-called X-ray bright, optically normal galaxies, or XBONGs, e.g., Civano07). ... Key to resolving these debates is an unbiased NLS1 sample. ... 4) Optical Priors. ...
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Ссылки http://hea-www.harvard.edu/~pgreen/CSCSDSS/csc_sdssgals1.pdf -- 258.8 Кб -- 14.03.2010
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6071. http://hea-www.harvard.edu/~rsmith/papers/thesis.pdf
MODELING THE SOFT X-RAY BACKGROUND WITH MULTIPLE SUPERNOVAE by RANDALL K. SMITH A dissertation submitted in partial ful llment of the requirements for the degree of Doctor of Philosophy (Physics) at the UNIVERSITY OF WISCONSIN | MADISON 1996 i ABSTRACT The existence and isotropy of the soft X-raybackground is discussed, and explored, using a one-dimensional hydrocode with non-equilibrium cooling, multiple explosions, and dust. Analytical results derived from thermal conduction and Kahn cooling are compared
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Ссылки http://hea-www.harvard.edu/~rsmith/papers/thesis.pdf -- 678.9 Кб -- 26.02.2010
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6072. http://hea-www.harvard.edu/AstroStat/Stat310_0910/jx_20100223.pdf
Solar DEM Models I b ( b 2 b I b b t 1 T t M bt ) 2 b b I b b RandomGaussianField I b : A solar image in color band b, mвn pixels, containing a particular solar feature, for b= 1, 2, .. ... T. Solar DEM Models I b ( b 2 b I b b t 1 T t M bt ) 2 b b I b b RandomGaussianField t : the proportion of the total volume at temperature t. eijb : the measure error of the ith row and jth column pixel of the certain image in color band b. b : computed from the magnitude of the negative values of I b in the data. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/jx_20100223.pdf -- 292.9 Кб -- 23.02.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/jx_20100223.pdf -- 292.9 Кб -- 23.02.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/jx_20100223.pdf -- 292.9 Кб -- 23.02.2010
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6073. http://hea-www.harvard.edu/AstroStat/Stat310_0910/ab_20100209.pdf
Outline Challenges of Massive Data Combining Approaches for Better Analysis Event Detection for Astronomical Data Summary Doing Right By Massive Data : How To Bring Probability Modeling To The Analysis Of Huge Datasets Without Taking Over The Datacenter Alexander W Blocker Pavlos Protopapas Xiao-Li Meng 9 February, 2010 Outline Challenges of Massive Data Combining ... This differentiates our problem from traditional "anomaly detection" approaches. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/ab_20100209.pdf -- 555.0 Кб -- 09.02.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ab_20100209.pdf -- 555.0 Кб -- 09.02.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ab_20100209.pdf -- 555.0 Кб -- 09.02.2010
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6074. http://hea-www.harvard.edu/~pgreen/GALEX/list1
plate fiberid bestObjID sdssRA sdssDEC NUV eNUV FUV eFUV u g r 52642 837 303 588010359082582056 171.6414360 4.69380716 17.03588 0.0291 16.3708 0.0306 17.5481 17.3068 16.79757 52791 1175 127 587733609093726623 252.7488520 33.4128736 22.32421 0.4352 21.7186 0.4545 24.5063 21.5843 19.59334 53003 1432 434 588016892250554406 158.8065261 39.7953776 19.18846 0.0952 18.8294 ...
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Ссылки http://hea-www.harvard.edu/~pgreen/GALEX/list1 -- 1.6 Кб -- 09.02.2010
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6075. http://hea-www.harvard.edu/AstroStat/etc/Schafer_AAS215_Jan2010_231.06.pdf
... Nonparametric density estimation drops these restrictions 8 Nonparametric Density Estimation 12 density 0 0.0 2 4 6 8 10 0.1 0.2 0.3 redshift 0.4 0.5 Histogram of 1,425 galaxy redshifts. 9 Nonparametric Density Estimation 12 density 0 0.0 2 4 6 8 10 0.1 0.2 0.3 redshift 0.4 0.5 Compared with best fitting gamma distribution. ... 13 Nonparametric Density Estimation 12 density 0 0.0 2 4 6 8 10 0.1 0.2 0.3 redshift 0.4 0.5 Parametric versus nonparametric estimate (kernel density estimate). ...
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Ссылки http://hea-www.harvard.edu/AstroStat/etc/Schafer_AAS215_Jan2010_231.06.pdf -- 962.2 Кб -- 09.02.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/etc/Schafer_AAS215_Jan2010_231.06.pdf -- 962.2 Кб -- 09.02.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/etc/Schafer_AAS215_Jan2010_231.06.pdf -- 962.2 Кб -- 09.02.2010
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6076. http://hea-www.harvard.edu/AstroStat/Stat310_0910/vl_20091201.pdf
... 0.6 5 6 log10(T) 7 8 Figure: Counts at short wavelengths don't give us enough information about DEM below 106 K Motivation and model Gibbs sampler and EM setup Results for simulated and real data Challenges with Gibbs sampler Three EM calculations for simulated data log10(DEM) 17.6 17.8 18.0 18.2 6.0 6.5 7.0 log10(T) 7.5 8.0 Figure: MAP values for ? with moderate smoothing r = 4 and different ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/vl_20091201.pdf -- 2716.6 Кб -- 04.02.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/vl_20091201.pdf -- 2716.6 Кб -- 04.02.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/vl_20091201.pdf -- 2716.6 Кб -- 04.02.2010
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6077. http://hea-www.harvard.edu/~pgreen/Papers/SDSS1254.pdf
... Printed in the U.S.A. SDSS J1254 + 0846 : A BINARY QUASAR CAUGHT IN THE ACT OF MERGING Paul J. Green1 ,6 , Adam D. Myers2 ,6 , Wayne A. Barkhouse3 ,6 , John S. Mulchaey4 , Vardha N. Bennert5 ... Barbara Street, Pasadena, CA 91101, USA 5 Department of Physics, University of California, Santa Barbara, CA 93106, USA Received 2009 October 21; accepted 2010 January 12; published 2010 February 1 ABSTRACT We present the first luminous, spatially resolved binary ... GALFIT host galaxy fit results. ...
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Ссылки http://hea-www.harvard.edu/~pgreen/Papers/SDSS1254.pdf -- 1028.8 Кб -- 02.02.2010
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6078. http://hea-www.harvard.edu/AstroStat/Stat310_0910/jx_20101026.pdf
... Figure 1: Original Figure 1 Figure 2: Disk of The Sun Negative values issue Name xrt 331 xrt 332 xrt 333 xrt 334 xrt 335 xrt 336 xrt 338 xrt 339 Be med Open.fits Al poly Open.fits C poly Open.fits Al poly Ti poly .fits Be thin Open.fits Al med Open.fits Open Al thick.fits Open Be thick.fits Positive ... SimulateRF: Simulation of Random Fields Figure 5: This is simulated Random Gaussian Field with mean=0, variance=4, nugget=1, scale=10, alpha=1. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/jx_20101026.pdf -- 1743.4 Кб -- 26.01.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/jx_20101026.pdf -- 1743.4 Кб -- 26.01.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/jx_20101026.pdf -- 1743.4 Кб -- 26.01.2010
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6079. http://hea-www.harvard.edu/AstroStat/Stat310_0910/ds_20101026.pdf
Beta-gamma magnetogram and white light extraction Beta-Gamma-Delta magnetogram and white light extraction Alpha-Gamma Alpha-Gamma-Delta
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_0910/ds_20101026.pdf -- 79.3 Кб -- 26.01.2010
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ds_20101026.pdf -- 79.3 Кб -- 26.01.2010
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_0910/ds_20101026.pdf -- 79.3 Кб -- 26.01.2010
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6080. http://hea-www.harvard.edu/ChandraSNR/G299.2-02.9/5517/work/snr_c7_sou.pi.par
xswabs[xswabs] (XSPEC model name : wabs) ( integrate : off) Param Type Value Min Max Units ----- ---- ----- --- --- ----- 1 nH thawed 0.1581 1e-07 10 10^22/cm^2 xsvmekal[xsvmekal] (XSPEC model name : vmekal) ( integrate : on) Param Type Value Min Max Units ----- ---- ----- --- --- ----- 1 kT thawed 0.5994 1e-03 100 keV 2 nH frozen 1 1e-06 1e+20 per cm**3 3 He frozen 1 0 1000 with respect to ...
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Ссылки http://hea-www.harvard.edu/ChandraSNR/G299.2-02.9/5517/work/snr_c7_sou.pi.par -- 2.8 Кб -- 14.01.2010
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