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41. http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_aneta.pdf
Sherpa Aneta Siemiginowska 1 SHERPA CIAO's Modeling and Fitting Application Aneta Siemiginowska CXC Astrostatistics Workshop, HEAD meeting , New Orleans, Septemter 2004 Sherpa Aneta Siemiginowska 2 Modeling and Fitting Software XSPEC - analysis of 1D X-ray data (imaging + grating) ISIS and Pint of Ale- primarily for analysis of highresolution (ie grating) X-ray data ... Jointmode data: spatialspectral, spatialtiming Use scripts based on Sherpa only commands. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_aneta.pdf -- 740.0 Кб -- 14.10.2004
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_aneta.pdf -- 740.0 Кб -- 14.10.2004
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_aneta.pdf -- 740.0 Кб -- 14.10.2004
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42. http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_loredo.pdf
... The Inference Project · The Inference package Librar y: Deep and broad collection of self-contained tools tailored to astronomers' needs; multiple methods Parametric Inference Engine: Framework for parametric modeling; multiple methodologies (2 , likelihood , Bayes ) with unified interface · Use of a modern VHL language: Python Single implementation facilitates depth/breadth VHL features speed development, facilitate testing Easy access for new users and ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_loredo.pdf -- 39.9 Кб -- 11.09.2004
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_loredo.pdf -- 39.9 Кб -- 11.09.2004
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_loredo.pdf -- 39.9 Кб -- 11.09.2004
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43. http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_vandyk.pdf
... 0.6 0.4 2.5 0.4 0.2 0.2 0.0 0 2 4 6 8 0.0 0 2 4 6 8 10 1.5 2.0 T u 2 ( @ % C S w5 g 5 C 0 T S 9% G '6 ' G ' 1 w G@ 3D ' '7 C8 ' ( X u wA '5 1% ) 1 G% C C '2 ¦Ґ Y ¤ 1 8@ 1h 0 Ё§ ` c 5 ( X u 8@ 0 T S @ 7' 6 7 ' 7' 8 C ' 1h 0 ¤ ЁY ` 0w S8 7 95 1% S8 '7 5 7 ' '7 C8 ' 1h Ґ§ ¦Ґ Y ¤ % 5 C @ 5 ( 5 @6 C 8 @ ( X u 8@ © ` f 2 I D 5 % 8 5 F 1 A 75 '8 X % % 15 1' 8 5 C 1 1C 'E ¤ ЁY ¤ Ё§ ` ЁY ` @ 1 B 7% G@ 9% 5 Gh 6 prior posterior . joint posterior with flat prior . ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2004/presentation_vandyk.pdf -- 166.1 Кб -- 11.09.2004
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_vandyk.pdf -- 166.1 Кб -- 11.09.2004
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2004/presentation_vandyk.pdf -- 166.1 Кб -- 11.09.2004
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44. AstroStatistics Special Session @ HEAD 2008
... AstroStatistics and High Energy Astrophysics [.pdf] . ... 04.02] Aldcroft, T.L., Green, P., Kashyap, V., Kim, D., & Connelly, J., Robust Source Detection Limits for Chandra Observations . ... This is particularly useful for multiwavelength analysis of X-ray non-detections at the position of prior sources, for instance known optically-selected AGN from the SDSS that are covered in the ChaMP survey. ... We have verified this algorithm using the 2 Msec Chandra Deep Field South data. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/ -- 24.0 Кб -- 01.10.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/ -- 24.0 Кб -- 01.10.2012
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/ -- 24.0 Кб -- 01.10.2012
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45. http://hea-www.harvard.edu/AstroStat/HEAD2008/announcement.pdf
M a r 3 1 , 2 0 0 8 , H E A D , L o s A n g e le s , C A AstroStatistics Special Session Methods & Techniques http://hea-www.harvard.edu/AstroStat/HEAD2008/ Agenda Eric Feigelson [Astrostatistics & High-Energy Astrophysics] Poster Haiku Aldcroft, Boone, Connors, Davis, Kaastra, Kashyap, Loredo, Lee, Takamitsu, Zoglauer David van Dyk [Likelihood Ratio Tests] Andy Ptak [MCMC] A n e t a S ie m ig in o w s k a & V in a y K a s h y a p
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/announcement.pdf -- 48.4 Кб -- 28.03.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/announcement.pdf -- 48.4 Кб -- 28.03.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/announcement.pdf -- 48.4 Кб -- 28.03.2008
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46. http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_aconnors.pdf
Quantifiying Doubt and Confidence in Image "Deconvolution" A. Connors, D. van Dyk, J.Chiang, A. Roy, R. Izem, CHASC; (D. Esch, M.Karovska) * Wake Up Your Vision: We cracked tough Poisson Fit problems: * See With New Eyes: Source/Feature Detection (Flexible models: Multiplicative+Multi-Scale-like) * See With New Eyes: Quantify Goodness-of-Fit: (Simulate Null, Data; Summary Statistics; Compare) * See With New Eyes: Confidence Limits on Shape (Think 4D+)
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_aconnors.pdf -- 885.6 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_aconnors.pdf -- 885.6 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_aconnors.pdf -- 885.6 Кб -- 01.04.2008
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47. http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_miyaji.pdf
http://saturn.phys.cmu.edu/cstack (password controled, use user=password=guest for CDF N&S
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_miyaji.pdf -- 229.8 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_miyaji.pdf -- 229.8 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_miyaji.pdf -- 229.8 Кб -- 01.04.2008
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48. http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_taldcroft.pdf
Robust source detection limits for Chandra observations Tom Aldcroft, Paul Green, Jean Connelly, Vinay Kashyap, Dong-Woo Kim Smithsonian Astrophysical Observatory and CXC, Cambridge MA, 02138 Need upper limits! Simulate Monte-Carlo? Oh no, too slow, so... See Poster 04.02
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_taldcroft.pdf -- 489.1 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_taldcroft.pdf -- 489.1 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_taldcroft.pdf -- 489.1 Кб -- 01.04.2008
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49. http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_tloredo.pdf
Mo deling GRB (and other) p opulations: Some lessons from multilevel mo deling Tom Loredo and Ira Wasserman, Cornell U. Goal: Infer properties of a population from measurements of observables with measurement error and selection effects Multilevel models: · · · Upper level : Draw observables from (adjusted) pop'n dist'n Lower level : Draw measurements from independent data distributions Bayes: ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/haiku_tloredo.pdf -- 78.4 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_tloredo.pdf -- 78.4 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/haiku_tloredo.pdf -- 78.4 Кб -- 01.04.2008
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50. http://hea-www.harvard.edu/AstroStat/HEAD2008/poster_aconnors.pdf
... PROBLEMS: "Unknown" (i.e. no physics model) components; What's a "Good-Enough-Fit" (e.g. Poisson)? ... ASIDE: MULTI-SCALE FOR POISSON - called Multiplicative Multiscale Innovation Models MMI Slides courtesy of R.Willett, SAMSI 2006 Timmermann Nowak, 1999 Kolaczyk, 1999 ASIDE: MULTI-SCALE FOR POISSON - called Multiplicative Multiscale Innovation Models MMI Slides courtesy of R.Willett, SAMSI 2006 Timmermann Nowak, 1999 Kolaczyk, 1999 ASIDE: MULTI-SCALE FOR ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/poster_aconnors.pdf -- 2526.2 Кб -- 05.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/poster_aconnors.pdf -- 2526.2 Кб -- 05.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/poster_aconnors.pdf -- 2526.2 Кб -- 05.04.2008
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51. http://hea-www.harvard.edu/AstroStat/HEAD2008/poster_tloredo.pdf
... Population, Observables Measurements Inverse methods try to undo the survey process by correcting catalog estimates. ... Simulations Simulate a (peak) flux survey catalog (producing a number counts or log N log S distribution): · Draw source fluxes from a 3-parameter slowly rolling power-law distribution (0 is a fiducial flux): - C2 log () = log 0 - C1 log 0 Amplitude at 0 Log slope at 0 Rate of change of log slope log () Accounting For Source Uncertainties Ignoring ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/poster_tloredo.pdf -- 223.4 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/poster_tloredo.pdf -- 223.4 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/poster_tloredo.pdf -- 223.4 Кб -- 01.04.2008
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52. http://hea-www.harvard.edu/AstroStat/HEAD2008/talk_dvandyk.pdf
Hypothesis Testing Mathematical Computations Numerical Computations Fur ther Reading Hypothesis Testing David A. van Dyk1 1 Depar tment of Statistics University of California, Irvine 2008 HEAD Meetings David A. van Dyk Statistics : Handle with Care Hypothesis Testing Mathematical Computations Numerical Computations Fur ther Reading Outline 1 Hypothesis ... H0 : No emission line. ... The test statistic must behavior differently under the alternative hypothesis. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/talk_dvandyk.pdf -- 136.1 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/talk_dvandyk.pdf -- 136.1 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/talk_dvandyk.pdf -- 136.1 Кб -- 01.04.2008
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53. http://hea-www.harvard.edu/AstroStat/HEAD2008/talk_efeigelson.pdf
... The first task of a statistician is cross-examination of data (R. A. Fisher) [Statistics is] the study of algorithms for data analysis (R. Beran) A statistical inference carries us from observations to conclusions about the populations sampled (D. R. Cox) Some statistical models are helpful in a given context, and some are not (T. Speed, addressing astronomers) There is no need for these hypotheses ... Also groups at CMU, Berkeley, Michigan Penn State, Cornell, SAMSI. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2008/talk_efeigelson.pdf -- 63.2 Кб -- 01.04.2008
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/talk_efeigelson.pdf -- 63.2 Кб -- 01.04.2008
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2008/talk_efeigelson.pdf -- 63.2 Кб -- 01.04.2008
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54. Special Session on AstroStatistics at HEAD 2013
This astrostatistics session will honor the memory of Alanna Connors. Alanna was a pioneer in the investigation and development of statistical methods required for the analysis of high energy data. The session will provide a historical perspective on Bayesian methods, highlight the topics where the contribution made by Alanna were particularly important, summarize current analysis challenges and discuss future perspectives. ... 131.02 Promoting widespread use of Bayesian analysis . ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2013/ -- 10.6 Кб -- 27.02.2014
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/ -- 10.6 Кб -- 27.02.2014
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/ -- 10.6 Кб -- 27.02.2014
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55. http://hea-www.harvard.edu/AstroStat/HEAD2013/asiemiginowska_13103_20130408.pdf
Aneta Siem iginows ka 1 Hypothesis Tests Aneta Siemiginowska Harvard-Smithsonian Center for Astrophysics CHASC April 8, 2013 This is one of many statistical topics that was important to Alanna AAS HEAD 2013 Aneta Siem iginows ka 2 Outline · Hypothesis testing: motivation and basic framework · ... See Protassov et al (2002) for details AAS HEAD 2013 Aneta Siem iginows ka Methods: LRT - distribution IMPORTANT! We do not know the true distribution of the test statistics. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2013/asiemiginowska_13103_20130408.pdf -- 746.7 Кб -- 22.04.2013
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/asiemiginowska_13103_20130408.pdf -- 746.7 Кб -- 22.04.2013
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/asiemiginowska_13103_20130408.pdf -- 746.7 Кб -- 22.04.2013
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56. http://hea-www.harvard.edu/AstroStat/HEAD2013/karnaud_13102_20130408.txt
Promoting widespread use of Bayesian analysis Keith Arnaud (CRESST/UMd/GSFC) As the Goddard representative at this session I would like to start by noting that Alanna's PhD thesis was a search for fast transients in the HEAO-1 A2 database. The field of time domain astronomy is becoming increasingly important so this is another example where Alanna was ahead of her time. ... As an example of this, and again inspired by Alanna, my aim is to move the XSPEC community towards Bayesian methods. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2013/karnaud_13102_20130408.txt -- 3.2 Кб -- 17.04.2013
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/karnaud_13102_20130408.txt -- 3.2 Кб -- 17.04.2013
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/karnaud_13102_20130408.txt -- 3.2 Кб -- 17.04.2013
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57. http://hea-www.harvard.edu/AstroStat/HEAD2013/nstein_13106_20130408.pdf
LIRA: Low-count Image Reconstruction and Analysis . ... Overview LIRA is a software package for the R statistical computing language A main focus for Alanna Connors in recent years Multiscale non-parametric image analysis for use in high energy astrophysics Based on Poisson model suitable for images with low counts Fully Bayesian analysis using Markov chain Monte Carlo Allows for quantification of uncertainty of fitted image and evaluation of goodness-of-fit of a proposed 2D model ...
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Ссылки http://hea-www.harvard.edu/AstroStat/HEAD2013/nstein_13106_20130408.pdf -- 686.3 Кб -- 22.04.2013
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/nstein_13106_20130408.pdf -- 686.3 Кб -- 22.04.2013
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/HEAD2013/nstein_13106_20130408.pdf -- 686.3 Кб -- 22.04.2013
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58. mini-Workshop on Solar Statistics
We hosted an interdisciplinary two-day workshop on Solar Astronomy and Statistical inference at the CfA on Feb 16-17, 2012. ... Format: On the first day of the workshop, we had two tutorial sessions, one describing solar data for statisticians and the other describing statistics methods for astronomers. ... Presentation slides and video recordings are available via SIP (see links in session schedule details below). ... Video [.mov] (@SIP) . ... Massive solar data streams -- Alisdair Davey (CfA) . ...
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Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/ -- 20.8 Кб -- 01.10.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/index.html -- 20.8 Кб -- 01.10.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/ -- 20.8 Кб -- 01.10.2012
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/index.html -- 20.8 Кб -- 01.10.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/ -- 20.8 Кб -- 01.10.2012
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59. http://hea-www.harvard.edu/AstroStat/SolStat2012/SolarTutorial/solarstats_aia_idl8.pro
pro solarstats_aia_idl8 ; SolarStats Workshop: 2012/02 ; A sample script to process AIA data, meant primarily to be ; entered line-by-line at the command prompt for instruction ; on basic AIA processing and introdcution of useful IDL concepts. ... TVSCL and PLOT_IMAGE can also be used and will ; automatically scale data with generally good, but mixed, results. tv, rebin171 tv, rebin304 ; To add color we'll use AIA_LCT, which is the default way to ; colorize AIA images. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/SolarTutorial/solarstats_aia_idl8.pro -- 20.3 Кб -- 15.02.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/SolarTutorial/solarstats_aia_idl8.pro -- 20.3 Кб -- 15.02.2012
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/SolarTutorial/solarstats_aia_idl8.pro -- 20.3 Кб -- 15.02.2012
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60. http://hea-www.harvard.edu/AstroStat/SolStat2012/SolarTutorial/star_squasher.pro
... Default is 20 for a 512x512 image. ... Truncate to integer. kmap = fix(alog(k/float(mask_size))/alog(1.0+1.0/mask_size)) ;===== prepare for edge exclusion via keyword edge_pix if (n_elements( edge_pix ) eq 0) then edge_pix =5 if ( edge_pix gt 0) then begin kmap (0:edge_pix-1, *)=0 kmap ( width -edge_pix: width -1, *)=0 kmap (*, 0:edge_pix-1)=0 kmap (*, height -edge_pix: height -1)=0 endif ;===== save indicies which are protected from correction i0=where( ...
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Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/SolarTutorial/star_squasher.pro -- 9.0 Кб -- 16.02.2012
[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/SolarTutorial/star_squasher.pro -- 9.0 Кб -- 16.02.2012
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[ Сохраненная копия ] Ссылки http://hea-www.harvard.edu/astrostat/SolStat2012/SolarTutorial/star_squasher.pro -- 9.0 Кб -- 16.02.2012
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