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341. http://hea-www.harvard.edu/XJET/Logistics/lastupdate.txt
... 2012 Jul 3 (TC): Added some references 2012 Jun 29 (TC): Rebuilding all XJET pages... pending. ... 2005 Jul 20 (TC): Updated references (added Zezas et al. for NGC4261) 2005 Jul 05 (TC): Updated references. ... 2005 Jun 2/3 (deh): added radio fits from Jim Lovell of PKS0637 2005 Jun 1 (TC): Updated references. ... 2004 Dec 30 (TC): Updated references (Marshall et al. 2005 in print; added Young et al. for pks2152). 2004 Dec 23 (DEH): Added 3c296 2004 Nov 6 (TC): Updated references. ...
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Ссылки http://hea-www.harvard.edu/XJET/Logistics/lastupdate.txt -- 7.2 Кб -- 08.07.2015
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342. http://hea-www.harvard.edu/AstroStat/Stat310_1415/sa_20150519.pdf
... CHASC May 19, 2015 S. Algeri ( ICL , SU) Statistical Tests for Dark Matter CHASC May 19, 2015 1 / 44 Contents 1 2 3 4 5 6 Motivation Methods Implementation Results Conclusion Future developments S. Algeri ( ICL , SU) Statistical Tests for Dark Matter CHASC May 19, ... S. Algeri (ICL, SU) Statistical Tests for Dark Matter CHASC May 19, 2015 24 / 44 Implementation Example 2: Power law + power law vs. power law + Dark Matter. ... Dark Matter. ... Then we have: Power law vs....
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_1415/sa_20150519.pdf -- 1553.1 Кб -- 19.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_1415/sa_20150519.pdf -- 1553.1 Кб -- 19.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_1415/sa_20150519.pdf -- 1553.1 Кб -- 19.05.2015
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343. http://hea-www.harvard.edu/AstroStat/astro193/MengGu_PCAofMaGNA.pdf
PCA Analysis of MaNGA Sky Spectra Meng Gu What is PCA Set of observations of possibly correlated variables Set of values of linearly uncorrelated variables (PCs) Straightforward & Has been applied to astro. spectra for many purposes. QSO-PCA Bailey 2012 Why PCA in Sky Subtraction To deal with complex and ever-changing telluric featu L s el One Body ree,vPCA method is promising! ... 0.Body Level Three 2<mean flux<0.2 2.Variance dy thevel F<0.8 Bo of Le flux our 3. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/MengGu_PCAofMaGNA.pdf -- 2437.9 Кб -- 06.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/MengGu_PCAofMaGNA.pdf -- 2437.9 Кб -- 06.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/MengGu_PCAofMaGNA.pdf -- 2437.9 Кб -- 06.05.2015
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344. http://hea-www.harvard.edu/AstroStat/astro193/PhilipCowperthwaite_ay193talk_updated.pdf
... Philip Cowperthwaite AY193 Final Project Presentation May 6th 2015 A Primer On RV Curves Source: ESO Plenty of Data Ї A collection of ~850 RV curves for stars with confirmed planets from the Caltech Exoplanet Archive (http://exoplanetarchive.ipac.caltech.edu/) Data contains date of observations, spectroscopically determined radial velocity, and errors. (e.g., data is pre-reduced) Ї The Model and The Method Ї The Keplerian Model (Hou et al. ... Poor likelihood function. ... What Could We Do Better? ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/PhilipCowperthwaite_ay193talk_updated.pdf -- 751.2 Кб -- 06.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/PhilipCowperthwaite_ay193talk_updated.pdf -- 751.2 Кб -- 06.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/PhilipCowperthwaite_ay193talk_updated.pdf -- 751.2 Кб -- 06.05.2015
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345. http://hea-www.harvard.edu/AstroStat/astro193/BenCook_Final.pdf
... Huge, diffuse region around galaxies ґ 100- 200 kpc around MW type galaxies ґ Only few % of stellar mass Ї Retain memory of galac1c accre1on ґ Large gal- gal variance Ї Believed to be a key to understanding build- up and evolu1on of galaxies Mar1nez- Delgado+2010 Stellar Popula1on Gradients in Illustris Ї High resolu1on, cosmological simula1on with gas physics/star forma1on Ї Recover all stellar par1cles in a given ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/BenCook_Final.pdf -- 939.0 Кб -- 04.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/BenCook_Final.pdf -- 939.0 Кб -- 04.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/BenCook_Final.pdf -- 939.0 Кб -- 04.05.2015
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346. http://hea-www.harvard.edu/AstroStat/astro193/ChristopherMerchantz_ay193_fp_slides.pdf
Testing the Automatic Detection of Directly Imaged Exoplanets Using Wavelet Analysis Chris Merchantz Introduction Ї Challenges associated with direct images of planets Distinguish planets in the following way: (1) a minimum flux threshold is from speckles maxima, anddefined for the features that are identified as local (2) the "Exoplanet Recognition Using a Wavelet Analysis Technique" Fig. ... This spectrum is used as template spectrum to recognize planets in a deep image. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/ChristopherMerchantz_ay193_fp_slides.pdf -- 2905.9 Кб -- 04.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/ChristopherMerchantz_ay193_fp_slides.pdf -- 2905.9 Кб -- 04.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/ChristopherMerchantz_ay193_fp_slides.pdf -- 2905.9 Кб -- 04.05.2015
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347. http://hea-www.harvard.edu/AstroStat/astro193/XiaweiWang_presentation.pdf
... Spectral window 1 day 1 month 1 year Alias Discretely sampling a continuous signal (Dawson & Fabrycky 10) Radial velocity profile fit Ї We assume a circular planetary orbit, then the planet's motion can be described as har monic: Ї V(t|P) = Asin(t)+Bcos(t)+ Ї Parameter space: P={A, B, , } Ї accounts for systematic velocity Ї We use MCMC to fit the parameters A, B, , Ї emcee algorithm (Foreman-Mackey et al., 2013, PASP, 125, 306): Ї MCMC Hammer! ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/XiaweiWang_presentation.pdf -- 460.1 Кб -- 04.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/XiaweiWang_presentation.pdf -- 460.1 Кб -- 04.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/XiaweiWang_presentation.pdf -- 460.1 Кб -- 04.05.2015
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348. http://hea-www.harvard.edu/AstroStat/astro193/YutongShan_A193_q-distr_slides_updated.pdf
The Stats of Couples From Pairing Algorithms to Binary Mass-Ratio Distributions Yutong Shan Binary Formation: Theory vs. Observation How do we think most Binaries form? ... 2009) Mass-Ratio Distribution: жpik's Law Observed binary mass-ratio distribution is often `fitted' with a power law: жpik's Law: f(q) ~ q q = Msecondary/Mpri mary жpik's Exponent, Equal-mass favoured Unequal-mass favoured Primary Mass (Mprim) Flat Often stated as a function of Primary Mass q = Msec / Mprim (Raghavan et al. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/YutongShan_A193_q-distr_slides_updated.pdf -- 2879.2 Кб -- 04.05.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/YutongShan_A193_q-distr_slides_updated.pdf -- 2879.2 Кб -- 04.05.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/YutongShan_A193_q-distr_slides_updated.pdf -- 2879.2 Кб -- 04.05.2015
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349. http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr22.pdf
David van Dyk visit on Mon Apr 27 The Q: Feedback is open Homework 11: significance CAR : likelihood Homework 13 alteration Ї Ї Upper Limits Deconvolution Upper Limits Ї Critical point: cannot talk about an upper limit without invoking the process of detection Limits are placed on model intensity, not on measured ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr22.pdf -- 725.4 Кб -- 22.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr22.pdf -- 725.4 Кб -- 22.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr22.pdf -- 725.4 Кб -- 22.04.2015
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350. http://hea-www.harvard.edu/AstroStat/astro193/Homework13_dueApr29.pdf
Homework 13 : Bayesian Blocks Due Apr 29 Ї For the time-tagged data of RT Cru from Homework 10, construct a Bayesian Blocks representation Comment on the difference between the results from HW 10 and the BB representation. Identify the biggest limiting factor in the usefulness of the first version (Scargle 1998) Identify the biggest limiting factor in the usefulness of the current version (Scargle+ 2013) Ї Ї Ї
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/Homework13_dueApr29.pdf -- 12.7 Кб -- 22.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/Homework13_dueApr29.pdf -- 12.7 Кб -- 22.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/Homework13_dueApr29.pdf -- 12.7 Кб -- 22.04.2015
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351. http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april22.pdf
... Radio-band image showing a linear jet structure X-ray Image with a hint of a jet Many empty pixels with 0 counts Statistical Model Ї Ї photon counts distributed on a grid of pixels Two Poisson processes to represent: ґ known aspects of the image - baseline component Ї background, point sources, diffuse structures ґ Unknown image features - added component Ї Diffuse emission, extension, a ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april22.pdf -- 1982.7 Кб -- 22.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april22.pdf -- 1982.7 Кб -- 22.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april22.pdf -- 1982.7 Кб -- 22.04.2015
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352. http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr20.pdf
Astro 193 : 2015 Apr 20 Ї Follow-up Ї Ї Ї Bayesian Fourier Components HW 11 on Periodograms is online HW 12: on exposure time Ї Ї Gaussian Processes, CAR models Bayesian Blocks Bayesian Blocks Ї Studies in Astronomical Time Series Analysis. V. Bayesian Blocks, A New Method to Analyze Structure in Photon Counting Data, Scargle, J.D., 1998, ApJ 504, 405 Studies in Astronomical Time Series Analysis. ... 2011 Bayesian Blocks : Dynamic Programming Scargle et al. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr20.pdf -- 489.1 Кб -- 20.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr20.pdf -- 489.1 Кб -- 20.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr20.pdf -- 489.1 Кб -- 20.04.2015
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353. http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april20.pdf
Time Series Analysis Astro193 April 20, 2015 Ї Today: Ї `Noise' Ї Correlations, Structure Function Ї CAR model - applications Ї Reading: Ї Scargle Jeff, `Studies in Astronomical Time Series Analysis', Part I ApJS, 45,1 - analysis of random processes Part II, ApJ, 263, 835 - periodogram Press 1978, `Flicker noises in Astronomy' and Elsewhere', Comments on Astrophysics, 7, 103 Kelly et al 2009, Are the Variations in Quasar Optical Flux Driven by Thermal Fluctuations? ApJ. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april20.pdf -- 2515.4 Кб -- 20.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april20.pdf -- 2515.4 Кб -- 20.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april20.pdf -- 2515.4 Кб -- 20.04.2015
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354. http://hea-www.harvard.edu/AstroStat/Stat310_1415/ma_20150504.pdf
New Bayesian methods for model comparison in astrostatistics How many components in a finite mixture? ... Aim: to evaluate and develop general Bayesian model comparisons for arbitrar y models through posterior likelihood ratios/posterior deviance differences. ... The model k likelihood Lk (k ) is a functional н a function of both k and the obser ved data, so we map the posterior distribution of k into that of Lk (k ). ... Its deviance distribution is stochastically larger than all the others. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_1415/ma_20150504.pdf -- 1663.1 Кб -- 20.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_1415/ma_20150504.pdf -- 1663.1 Кб -- 20.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/Stat310_1415/ma_20150504.pdf -- 1663.1 Кб -- 20.04.2015
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355. http://hea-www.harvard.edu/AstroStat/astro193/HW11-dueApr27.pdf
Astro193 Homework 11 due on April 27, 2015 Periodogram exercise Generate 50 random data points Y(t) assuming a periodic model for the signal: Y (t|P ) = 42.0 + sin (2 t/P ) with a period P = 0.4 day and the time t nonevenly spaced over the total duration time T of: a/ T1= 5 days, b/ T2=10 days c/ T3=30 days. ... 2/ Calculate Nyquist frequency for each observation. 3/ Calculate a periodogram for these data using LombScargle algorithm (you can use the code available in R, IDL or Python SciPy). ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/HW11-dueApr27.pdf -- 99.4 Кб -- 18.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/HW11-dueApr27.pdf -- 99.4 Кб -- 18.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/HW11-dueApr27.pdf -- 99.4 Кб -- 18.04.2015
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356. http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr15.pdf
... Homework 10 Ї Ї Risk minimization: bias vs variance tradeoff, GCV in limits Binning/smoothing is always ambiguous. GCV is affected by method, choice of kernel, choice of Risk statistic Light curves from photon arrival time data Ї Ї Ї Ї GCV minimized at h=102 s locfit rectangle kernel GCV minimized at h=786 s locfit tricubic kernel GCV minimized at h=1141 s Ї Smooth curve through pairwise data Ї Ї locfit tricubic kernel GCV minimized at h30 locfit rectangle kernel GCV minimized at h18 ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr15.pdf -- 19.4 Кб -- 15.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr15.pdf -- 19.4 Кб -- 15.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr15.pdf -- 19.4 Кб -- 15.04.2015
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357. http://hea-www.harvard.edu/AstroStat/astro193/HW_12_dueApr22.pdf
Homework 12 (due Apr 22) Ї Homework 12 (Upper Limits) You observe 19 counts in a source region. You have also observed 100 counts in a background region that is 10 times the area of the source region. ... Is a source detected? ... Use two different ways to set the detection threshold: first, using only the nominal distribution of the background counts, and second, using a S/N measure. ... Use any threshold level to decide on the detection that you like, but describe how you chose it. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/HW_12_dueApr22.pdf -- 26.5 Кб -- 15.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/HW_12_dueApr22.pdf -- 26.5 Кб -- 15.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/HW_12_dueApr22.pdf -- 26.5 Кб -- 15.04.2015
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358. http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april13.pdf
Time Series Analysis Astro193 April 13, 2015 Characterizing Variability Ї Ї Ї Variability - typically a change of some observed quantity with time : Ї flux, spectrum, emission or absorption line properties Variability - gives direct link to physical processes Today: Ї Periodogram Ї Noise Ї Further reading: Ї Scargle Jeff, `Studies in Astronomical Time Series Analysis ', Part I ApJS, 45,1 - ... For evenly sampled light curve PSD can be calculated via classic periodogram. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april13.pdf -- 419.2 Кб -- 13.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april13.pdf -- 419.2 Кб -- 13.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april13.pdf -- 419.2 Кб -- 13.04.2015
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359. http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr13.pdf
... Orthonormal Wavelet Basis Ї Ї Ї Ї Fourier Transforms: Aliasing Lomb-Scargle Periodograms BayesFT Gaussian Processes, CAR Models Class Logistics Ї What we expect from the Projects Ї use data ; apply techniques we have discussed in class (OK to go beyond); infer or compute an astronomically/astrophysically interesting quantity 5-slide, 10-minute presentation on May ... N}; Model f(t) = B1 cos(t) + B2 sin(t) + N(0,?) Schuster Periodogram C() = | ... N dj exp[itj] |? ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/VLK_slides_apr13.pdf -- 135.6 Кб -- 13.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr13.pdf -- 135.6 Кб -- 13.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/VLK_slides_apr13.pdf -- 135.6 Кб -- 13.04.2015
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360. http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april8.pdf
Fourier Transforms Astro193 April 8, 2015 Discrete Fourier Transforms f - sampled at discrete times The Nyquist Sampling Theorem Ї Ї For any sampling interval there is a special frequency, the critical Nyquist frequency = 1/2 If a continuous function h(t), sampled at interval , is bandwidth limited to frequencies smaller than the critical frequency then the function h(t) is completely determined by its samples. ...
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Ссылки http://hea-www.harvard.edu/AstroStat/astro193/AS_slides_april8.pdf -- 602.0 Кб -- 08.04.2015
[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april8.pdf -- 602.0 Кб -- 08.04.2015
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[ Текст ] Ссылки http://hea-www.harvard.edu/astrostat/astro193/AS_slides_april8.pdf -- 602.0 Кб -- 08.04.2015
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