Документ взят из кэша поисковой машины. Адрес оригинального документа : http://hea-www.harvard.edu/tanagra/etc/vlk_tanagra_diggingdeeper_2011.pdf Дата изменения: Thu Jan 24 03:56:16 2013 Дата индексирования: Fri Feb 28 10:51:28 2014 Кодировка:

Project Tanagra
Timing Analysis of Grating Data
Vinay Kashyap (SAO)
Jennifer Posson-Brown, Jeremy Drake, Kathy Reeves, Steve Saar (SAO), Raymond Wong, Thomas Lee (UC Davis), Alanna Connors (Eureka), Jeff Scargle (NASA/Ames)

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Darmok
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Darmok and Jalad at Tanagra
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Lightcurves and spectra with Chandra

A different kind of dataset
grating observations made with Chandra X-ray Telescope

A bountiful spectro-temporal mine to dig

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A different kind of dataset
peer-selected "interesting" bright X-ray sources long-duration observations photons with wavelength and arrival time attributes excellent spectral and timing resolution

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HETGS+ACIS-S Grating Spectra
S0 HEG MEG Raw Detector Image, ACIS Energy Color-coded S4 S2 S1 S3 S5

Aspect corrected Sky Image, Zeroth and First Orders Selected MEG-minus spectrum

19 A

MEG Minus-First Order Spectral Images 17 A

15 A

12.2 A

9.25 A

6.7 A

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HETGS+ACIS-S Grating Spectra

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HETGS+ACIS-S lightcurves

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HETGS+ACIS-S lightcurves

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Sounds grand. Why hasn't anyone looked at all this yet?
Barriers to entry few to none general algorithms to deal with (t,) no "statistically complete" samples all the easy bits already done by PI do you really have to sit and stare at each observation? I am on the lookout for algorithms

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My Motivation
solar and stellar flare energies are distributed as power-, with <2 for Sun, and >2 for lowlaws, dN/dE ~ E mass stars. probably due to self-organized criticality in magnetic field structures Questions: is a function of spectral type? is a single powerlaw a consistently good description? is there a dependence of on luminosity or on plasma temperature? where is the lower cut-off to the distribution?

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Your Motivation

A different kind of data mining Digging deep into a single source

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Illustrative example: AU Mic

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Illustrative example: AU Mic
Jeff Scargle's adaptive histogram

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Illustrative example: Procyon

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Illustrative example: Procyon

! 1.7
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Illustrative example: FK Com

line centroid shifts with time

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Illustrative example: FK Com

line centroid shifts with time

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Summary
coherently reduced datasets with extraordinarily detailed timing and spectral information multiple, independent, simultaneous data streams will be extended to other types of objects (e.g., AGNs), observed with other missions (e.g., XMM-Newton/RGS) test bed for deep (as opposed to broad) analysis methods e.g., not just detect a transient, but study its characteristics in spectral lines formed at different temperatures
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