SI:CfA:HEA

International CHASC Astro-Statistics Collaboration

This page lists resources of specific interest to astronomers. For detailed descriptions and reports of C-BAS/ICHASC activities, see https://www.ma.imperial.ac.uk/~dvandyk/astrostat.php

Software | Activities | Bibliography | Astro jargon | Stat jargon | People | Mailing-List | Internal
astrostat-announce GoogleGroup | GoogleCalendar | AstroStat Slog Archive

Software

BEHR: Bayesian estimation of Hardness Ratios
BEHR github repository
Park, T., Kashyap, V.L., Siemiginowska, A., van Dyk, D., Zezas, A., Heinke, C., & Wargelin, B.J., 2006, ApJ, 652, 610
LIRA: Image reconstruction with error estimates (nee EMC2)
github repository for PyLIRA
github repository for original R and C code (not being updated)
Connors, A., Stein, N.M., van Dyk, D., Kashyap, V., & Siemiginowska, A., ADASS XX, ASPC (Eds. Ian N. Evans, Alberto Accomazzi, Douglas J. Mink, and Arnold H. Rots), v442, p463 (2011ASPC..442..463C)
Connors, A. & van Dyk, D.A., 2007, SCMA IV, ASPC (Eds. G.J.Babu and E.D.Feigelson), v371, p101 (2007ASPC..371..101C)
Esch, D.N., Connors, A., Karovska, M., & van Dyk, D.A., 2004, ApJ, 610, 1213
jolideco : Joint Likelihood Deconvolution
PyPI repository for jolideco
Donath, A., Siemiginowska, A., Kashyap, V.L., van Dyk, D.A., & Burke, D., 2024, AJ, accepted (arXiv:2403.13933)
BLoCXS: Bayesian low-Counts X-ray spectral analysis
pyBLoCXS: python version of BLoCXS, optimized for use in Sherpa
github repository
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
Documentation for early standalone version (v0.0.3): hea-www.harvard.edu/AstroStat/pyBLoCXS/
Documentation for Sherpa implementation (get_draws()): cxc.harvard.edu/sherpa/ahelp/pyblocxs.html
BRoaDem: Bayesian reconstruction of a Differential Emission Measure
Kang, H., van Dyk, D.A., Kashyap, V.L., & Connors, A., 2005, in ``X-Ray Diagnostics of Astrophysical Plasmas: Theory, Experiment, and Observation'', AIP Conference Proceedings, Volume 774, p.373
see also MCMC_DEM: Differential Emission Measure reconstruction using Markov-Chain Monte Carlo
Kashyap, V. & Drake, J.J., 1998, ApJ, 503, 450
bayesstack: stacks counts from many weak sources to infer the intrinsic flux or luminosity distribution
Automark: Changepoint detection in marked Poisson Processes
github repository
Wong, R.K.W., Kashyap, V.L., Lee, T.C.M., & van Dyk, D.A., 2016, Annals of Applied Statistics, v10, p1107 (AOAS933)
Xu, C., Guenther, H.M., Kashyap, V.L., Lee, T.C.M., & Zezas, A., 2021, AJ, 161, 184
manuscript [.pdf]
arXiv:1508.07083 [url]
2016ascl.soft02001W [url]
XAP: X-ray Aperture Photometry
github repository
Primini, F.A., and Kashyap, V.L., 2014, ApJ, 796, 24
BASCS: Bayesian Separation of Close Sources
github repository
Jones, D.E., Kashyap, V.L., & van Dyk, D.A., 2015, ApJ, 808, 137
Meyer, A.D., van Dyk, D.A., Kashyap, V.L., Campos, L.F., Jones, D.E., Siemiginowska, A., & Zezas, A., 2021, MNRAS, 506, 6160
timedelay: Time Delay Estimation for Stochastic Time Series of Gravitationally Lensed Quasars
CRAN package
Tak, H., Mandel, K., van Dyk, D.A., Kashyap, V.L., Meng, X.L., and Siemiginowska, A., 2017, AoAS 11, 1309
SoDDA: Soft Data Driven Allocation classification
Stampoulis, V., van Dyk, D.A., Kashyap, V.L., & Zezas, A., 2019, MNRAS, accepted
SRGonG: Seeded Region Growing on Graph
Fan, M., Wang, J., Kashyap, V.L., Lee, T.C.M., van Dyk, D.A., & Zezas, A., 2023, AJ 165, 66

Courses, Workshops, Seminars, Special Sessions, Conferences

Conference Proceedings and Journal Articles

Tak, H., Kashyap, V.L., Mandel, K., Meng, X.-L., Siemiginowska, A., & van Dyk D., Statistical Maxims for Sound Astronomical Data Analysis, 2024, ApJ, under review
arXiv:2409.16179
Zimmerman, R., van Dyk, D.A., Kashyap, V.L., & Siemiginowska, A., Separating States in Astronomical Sources Using Hidden Markov Models: With a Case Study of Flaring and Quiescence on EVLac, 2024, MNRAS, under review
arXiv:2405.06540
Donath, A., Siemiginowska, A., Kashyap, V.L., van Dyk, D.A., & Burke, D., Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise, 2024, AJ, accepted
arXiv:2403.13933
Autenrieth, M., Wright, A.H., Trotta, R., van Dyk, D.A., Stenning, D.S., & Joachimi, B., Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling, 2024, MNRAS, under review
arXiv:2401.04687
Zimmerman, R., van Dyk, D.A., Kashyap, V.L., & Siemiginowska, A., Separating States in Astronomical Sources Using Hidden Markov Models: With a Case Study of Flaring and Quiescence on EV Lac, 2024, submitted to MNRAS
arXiv:2405.06540
Sottosanti, A. Bernardi, M., Brazzale, A.R., Geringer-Sameth, A., Stenning, D.C., Trotta, R., & van Dyk, D.A., Identification of High-Energy Astrophysical Point Sources via Hierarchical Bayesian Nonparametric Clustering, 2024, Annals of Applied Statistics, under review
arXiv:2104.11492
Yu, X., Kashyap, V.L., Del Zanna, G., van Dyk, D.A., Stenning, D.C., Ballance, C.P., & Warren, H.P., Effect of Systematic Uncertainties on Density and Temperature Estimates in Coronae of Capella, 2024, ApJ 968, 73
DOI 10.3847/1538-4357/ad4108
arXiv:2404.10427
Autenrieth, M., van Dyk, D.A., Trotta, R., & Stenning D., Stratified Learning: A General-Purpose Statistical Method for Improved Learning Under Covariate Shift, 2024, Statistical Analysis and Data Mining - The ASA Data Science Journal, 17, 1-16.
doi:10.1002/sam.11643
arxiv.org:2106.11211
Meyer, A.D., van Dyk, D.A., Tak, H., & Siemiginowska, A., TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes, 2023, ApJ 950, 37
DOI 10.3847/1538-4357/acbea1 [IOP]
Zhang, X., Algeri, S., Kashyap, V., & Karovska, M., A novel approach to detect line emission under high background in high-resolution X-ray spectra, 2023, MNRA, 521, 969
2023MNRAS.521..969Z
Fan, M., Wang, J., Kashyap, V.L., Lee, T.C.M., van Dyk, D.A., & Zezas, A., Identifying Diffuse Spatial Structures in High-energy Photon Lists, 2023, AJ 165, 66
doi.org/10.3847/1538-3881/aca478/ [doi]
Baines, P.D., Meng, X.-L., Zezas, A., & Kashyap, V., Bayesian Analysis of Stellar Populations, in Statistics in the Public Interest: In Memory of Stephen Fienberg, eds. A.L.Carriquiry, W.Eddy, J.M.Tanur, Springer Nature, New York
Marshall, H.L., Chen, Y., Drake, J.J., Guainazzi, M., Kashyap, V.L., Meng, X.-L., Plucinsky, P.P., Ratzlaff, P., van Dyk, D.A., & Wang, X., Concordance: In-flight Calibration of X-Ray Telescopes without Absolute References, 2021, AJ 162, 254
article [AJ]
2021AJ....162..254M [ADS]
Algeri, S. & van Dyk, D.A., Testing One Hypothesis Multiple Times, 2021, Statistica Sinica, 31, 959
doi:10.5705/ss.202018.0027
arXiv:1701.06820
Meyer, A.D., van Dyk, D.A., Kashyap, V.L., Campos, L.F., Jones, D.E., Siemiginowska, A., & Zezas, A., eBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information, 2021, MNRAS, 506, 6160
2021MNRAS.506.6160M [ADS]
Yan, Y., Stenning, D.C., Kashyap, V.L., & Yu, Y., Forecasting Solar Cycle 25 with a Principled Bayesian Two-stage Statistical Model, 2021, Res. Notes of AAS, 5, 192
2021RNAAS...5..192Y [ADS]
Xu, C., Guenther, H.M., Kashyap, V.L., Lee, T.C.M., & Zezas, A., Change point detection and image segmentation for time series of astrophysical images, 2021, AJ, 161, 184
2021AJ....161..184X [ADS]
Publisher [IOP/pdf]
manuscript
 
Algeri, S., Detecting new signals under background mismodeling, 2020, Phys.Rev.D. 101, 015003
Publisher [APS]
Stampoulis, V., van Dyk, D.A., Kashyap, V.L., & Zezas, A., MNRAS, Multidimensional Data Driven Classification of Emission-line Galaxies, 2019, MNRAS, 485, 1085
Manuscript [.pdf]
arXiv:1802.02133 [url]
Chen, Y., Meng, X.-L., Wang, X., van Dyk, D.A., Marshall, H.L., & Kashyap, V.L., Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage, 2019, Journal of the American Statistical Association, 114:527, 1018
doi.org/10.1080/01621459.2018.1528978 [citation]
1711.09429 [arXiv preprint]
Manuscript [.pdf]
BibTex [.bib]
Yu, X., Del Zanna, G., Stenning, D.C., Cisewski-Kehe, J., Kashyap, V.L., Stein, N., van Dyk, D.A., Warren, H.P., & Weber, M., Incorporating Uncertainties in Atomic Data into the Analysis of Solar and Stellar Observations: A Case Study in FeXIII, 2018, ApJ, 866, 146
DOI:10.3847/1538-4357/aadfdd [url]
manuscript [.pdf]
Tak, H., Mandel, K., van Dyk, D.A., Kashyap, V.L., Meng, X.-L., & Siemiginowska, A., Bayesian Estimates of Astronomical Time Delays between Gravitationally Lensed Stochastic Light Curves, 2017, Annals of Applied Statistics, v11, p1309 to AoAS
arXiv:1602.01462 [arXiv]
dx.doi.org/10.1214/17-AOAS1027 [Euclid]
bibTeX [.bib]
reprint [.pdf]
McKeough, K., Siemiginowska, A., Cheung, C.C., Lukasz, S., Kashyap, V.L., Stein, N., Stampoulis, V., van Dyk, D.A., Wardle, J.F.C., Lee, N.P., Harris, D.E., Schwartz, D.A., Donato, D., Maraschi, L., & Tavecchio, F., Detecting Relativistic X-ray Jets in High-Redshift Quasars, 2016, ApJ, 833, 123
arXiv:1609.03425
2016ApJ...833..123M [ADS]
Manuscript [.pdf]
Stein, N.M., van Dyk, D.A., & Kashyap, V.L., Preprocessing Solar Images while Preserving their Latent Structure, 2016, in Statistical and Computational Theory and Methodology for Big Data, Statistics and Its Interface, 9, 535
arXiv:1512.04273
preprint
Wong, R.K.W., Kashyap, V.L., Lee, T.C.M., & van Dyk, D.A., Detecting Abrupt Changes in the Spectra of High-Energy Astrophysical Sources, 2016, Annals of Applied Statistics, v10, p1107
arXiv:1508.07083
manuscript [.pdf]
Automark on github [.url]
Stenning, D.C., van Dyk, D.A., Yu, Y., & Kashyap, V., A Bayesian Analysis of the Solar Cycle Using Multiple Proxy Variables, 2015, in Current Trends in Bayesian Methodology with Applications,
ISBN 9780429172373 [Taylor&Francis]
manuscript [.pdf]
Stein, N.M., van Dyk, D.A., Kashyap, V.L., & Siemiginowska, A., Detecting Unspecified Structure in Low-Count Images, 2015, ApJ, 813, 66
Manuscript [.pdf]
Gopalan, G., Vrtilek, S.D., & Bornn, L., Classifying X-Ray Binaries: A Probabilistic Approach, 2015, ApJ, 809, 40
2015ApJ...809...40G [ADS]
Jones, D., Kashyap, V.L., & van Dyk, D.A., Disentangling Overlapping Astronomical Sources using Spatial and Spectral Information, 2015, ApJ, 808, 137
arXiv:1411.7447 [arXiv]
2015ApJ...808..137J [ADS]
IOP [url]
eprint [.pdf]
McKeough, K., Kashyap, V., McKillop, S., van Dyk, D., & Stein, N., Quantifying the Likelihood of Substructure in Coronal Loops, 2014, AGU, SH13C-4127
poster [.pdf]
Wong, R., Baines, P., Aue, A., Lee, T.C.M., & Kashyap, V.L., Automatic Estimation of Flux Distributions of Astrophysical Source Populations, 2014, Annals of Appl. Stats., v8, 1690
manuscript [.pdf] ; @imstat
http://dx.doi.org/10.1214/14-AOAS750 (Euclid)
arXiv:1305.0979 (arXiv)
Primini, F., & Kashyap, V.L., Determining X-Ray Source Intensity and Confidence Bounds in Crowded Fields, 2014, ApJ, 796, 24
arXiv:1410.2564
2014 ApJ 796, 24 (IOPScience)
[.pdf]
Xu, J., van Dyk, D.A., Kashyap, V.L., Siemiginowska, A., Connors, A., Drake, J., Meng, X.-L., Ratzlaff, P., & Yu, Y., A Fully Bayesian Method to Simultaneously Fit Calibration Products and Model Parameters in X-ray Spectral Analyses, 2014, ApJ, 794, 97
manuscript [.pdf]
Stenning, D.C., van Dyk, D.A., Yu, Y., & Kashyap, V., A Bayesian Analysis of the Solar Cycle Using Multiple Proxy Variables,, 2014, in Current Trends in Bayesian Methodology with Applications, Editors: S. Upadhyay, D.K. Dey, U. Singh and A. Loganathan, Chapman & Hall/CRC Press, 2014. To appear.
 
Kashyap, V.L., pyBLoCXS: Strategy to deal with known errors in effective areas and Demo, 2014, IACHEC 2014, 12 May 2014
Slides [.pdf]
Demo walkthrough
Stenning, D.C., Lee, T.C.M., van Dyk, D.A., Kashyap, V., Sandell, J., & Young, C.A., Morphological feature extraction for statistical learning with applications to solar image data, 2013, Statistical Analysis and Data Mining, Vol. 6, Issue 4, p329
Abstract
manuscript [.pdf]
Blocker, A.W., & Protopapas, P., Semi-parametric Robust Event Detection for Massive Time-Domain Databases, 2013, SCMA V
arXiv:1301.3027
Yu, Y., van Dyk, D.A., Kashyap, V.L., & Young, C.A., A Bayesian Analysis of the Correlations Among Sunspot Cycles, 2012, Solar Physics, 281, 847
manuscript [.pdf]
Connors, A., Hong, J.S., Protopapas, P., Kashyap, V., Incorporating Spectra Into Periodic Timing: Bayesian Energy Quantiles, 2011, AAS-HEAD, 17.01, 7-8 Sep 2011, Newport, RI
Poster [.pdf]
Presented at SCMA V (June 13-17 2011):
Baines, P., Udaltsova, I., Zezas, A., & Kashyap, V., log(N)-log(S): A Measuring Stick for the Universe
Blocker, A., et al., Semi-Parametric robust event detection for massive time-domain databases
Kashyap, V., et al., Systematic Errors in High-Energy Astrophysics
Kelly, B., Measurement error models in astronomy
Lee, T., Stenning, D., van Dyk, D., Young, A., & Kashyap, V., Automatic Detection and Classification of Sunspot Images
Stein, N., von Hippel, T., van Dyk, D., DeGennaro, S., Jeffery, E., & Jefferys, B., Bayesian flux reconstruction in one and two bands
Xu, J., et al., Using pyBLoCXS for a Fully Bayesian Analysis of Calibration Uncertainty in High Energy Spectral Analysis
Lee, H., Kashyap, V.L., van Dyk, D.A., Connors, A., Drake, J.J., Izem, R., Meng, X.-L., Min, S., Park, T., Ratzlaff, P., Siemiginowska, A., & Zezas, A., Accounting for Calibration Uncertainties in X-ray Analysis: Effective Areas in Spectral Fitting 2011, ApJ, 731, 126
ArXiv: arxiv/1102.4610
Paper [.pdf]
Connors, A., van Dyk, D., Stein, N.M., Kashyap, V., & Siemiginowska, A., LIRA - the Low-count Image Restoration and Analysis Package: A Teaching Version via `R', 2010, ADASS XX, 7-11 Nov, Boston, MA
[.pdf]
Siemiginowska, A., Kashyap, V., Refsdal, B., van Dyk, D., Connors, A., Park, T., et al., pyblocxs: Bayesian Low-Counts X-ray Spectral Analysis in Sherpa, 2010, ADASS XX, 7-11 Nov, Boston, MA
poster [.pdf]
proceedings [.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
[.pdf]
ArXiV: arxiv/1006.4334
Kashyap, V., Lee, H., Siemiginowska, A., van Dyk, D., Drake, J., Connors, A., Zezas, A., Park, T., Min, S., McDowell, J., Rots, A., Ratzlaff, P., Kramer, J., Burke, D., & Refsdal, B., 2010, IACHEC, Woods Hole
presentation: [.pdf]
Drake, J., Ratzlaff, P., Kashyap, V., Jerius, D., Grant, C., Edgar, D., Marshall, H., Vikhlinin, A., et al., Monte Carlo Grand Prix: Parameter Estimation Including Calibration Uncertainties, 2010, IACHEC, Woods Hole
presentation: [.pdf]
Blocker, A.W., Protopapas, P., & Alcock, C.R., A Bayesian Approach to the Analysis of Time Symmetry in Light Curves: Reconsidering Scorpius X-1 Occultations, 2009, ApJ, 701, 1742
abstract: @ApJ
Lee, H., Kashyap, V., Drake, J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., & Izem, R., 2009, A Semiparametric Approach to Incorporating Systematic Uncertainties into Bayesian X-Ray Spectral Fitting, at the Workshop o n Semiparametric Methodology, Jan. 8-10, 2009, U of Florida, FL
abstract: [ascii]
poster: [.pdf]
Park, T., van Dyk, D.A., & Siemiginowska, A., 2008, Searching for Narrow Emission Lines in X-ray Spectra: Computation and Methods, ApJ, 688, 807
manuscript: [.pdf]
ADS: 2008ApJ...688..807P [.url]
Kashyap, V., Lee, H., Siemiginowska, A., MacDowell, J., Rots, A., Drake, J., Ratzlaff, P., Zezas, A., Izem, R., Connors, A., van Dyk, D., \& Park, T., How to handle calibration uncertainties in high-energy Astrophysics, 2008, SPIE 7016, 7016OP
manuscript: [.pdf]
presentation: [.ppt] ; [.pdf]
Lee, H., Kashyap, V., Drake, J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., Izem, R., Incorporating Effective Area Uncertainties Into Spectral Fitting, AAS-HEAD, #10, #41.15
abstract
2008HEAD...10.4115L
Kashyap, V., van Dyk, D., Connors, A., Freeman, P., Siemiginowska, A., Zezas, A., & the SAMSI-SaFeDe Collaboration, What Is An Upper Limit?, AAS-HEAD, #10, #03.02
abstract
2008HEAD...10.0302C
Connors, A., van Dyk, D., & Chiang, J., Quantifying Doubt and Confidence in Image "Deconvolution", AAS-HEAD, #10, #03.01
abstract
2008HEAD...10.0301C
Kashyap, V., Lee, H., Drake, J.J., Ratzlaff, P., Siemiginowska, A., Zezas, A., Connors, A., van Dyk, D., Park, T., & Izem, R., 2007, Incorporating Effective Area Uncertainties in Spectral Fitting, Chandra Calibration Workshop, #117, 25 Oct 2007, Huntsville, AL
[.pdf]
Drake, J.J., Ratzlaff, P., Kashyap, V., Edgar, R., Izem, R., Jerius, D., Marshall, H., Siemiginowska, A., & Vikhlinin, A., 2007, Monte Carlo methods for including correlated systematic calibration uncertainties in astrophysical analysis: Chandra ACIS, Chandra Calibration Workshop, #109, 25 Oct 2007, Huntsville, AL
[.pdf]
Connors, A. & van Dyk, D.A., 2007, How to Win With Non-Gaussian Data: Poisson Goodness-of-Fit, in Statistical Challenges in Modern Astronomy IV (Eds. G.J.Babu and E.D.Feigelson), Astronomical Society of the Pacific Conference Series, San Francisco, in press
[.pdf]
Talks presented by CHASC collaborators at the AstroStat sessions of the Joint Statistical Meeting 2007, July 29 - Aug 2, 2007, Salt Lake City, UT
367: Bayesian Applications in Astronomy and Physics (Chair: David van Dyk)
* Paul Edlefsen, A Dempster-Shafer Bayesian Solution to the Banff A1 Challenge [pdf]
* Jingchen Liu, An Exploratory Statistical Study of the Measured Motion of the Guide Star Used in a New Test of Einstein's Universe
* Paul Baines, Probability Matching Priors in LHC Physics: A Pragmatic Approach [pdf]
* Hyunsook Lee, A Statistical Approach to Stellar Archaeology [pdf]
411: Image Analysis in Solar- and Astro-physics (Chairs: Yaming Yu & Thomas Lee)
* James Chiang, stronomical Imaging Using the GLAST Large-Area Telescope [pdf]
* David van Dyk, Fully Bayesian Analysis of Low-Count Astronomical Images [pdf]
* Alex Young, Multiscale Solar Image Processing
* Thomas Lee, Automatic Detection and Classification of Sunspot Images [pdf]
* Vinay Kashyap, How to Find Loops in the Solar Corona [pdf] [ppt]
Kashyap, V., Lee, H., Westbrook, O., Wolk, S., Evans, N., Nichols, J., Mendygral, P., Slavin, J., & Waldron, W., 2007, Summarizing Coronal Spectra, at X-Ray Grating Spectroscopy, July 11-13, 2007, Cambridge, MA
Abstract
[.pdf]
Park, T., Kashyap, V.L., Siemiginowska, A., van Dyk, D., Zezas, A., Heinke, C., & Wargelin, B.J., 2006, Bayesian Estimation of Hardness Ratios, ApJ, 652, 610
[.pdf]
van Dyk, D., Park, T., & Siemiginowska, A., 2007, Fitting narrow spectral lines in high-energy astrophysics using incompatible Gibbs samplers, in Statistical Challenges in Modern Astronomy IV (Eds. G.J.Babu and E.D.Feigelson), Astronomical Society of the Pacific Conference Series, San Francisco, in press
 
Drake, J.J., Ratzlaff, P., Kashyap, V., Edgar, R., Izem, R., Jerius, D., Siemiginowska, A., & Vikhlinin, A., 2006, Monte Carlo Processes for Including Chandra Instrument Response Uncertainties in Parameter Estimation Studies, Proc. SPIE, v6270, p49
2006SPIE.6270E..49D
[.ps]
van Dyk, D.A., 2006, at Statistical Inference in High Energy Physics and Astrophysics, Banff International Research Station Workshop, Jul 15-20, 2006, Banff, BC
presentation [.pdf]
Park, T., van Dyk, D.A., & Siemiginowska, A., 2006, SAMSI Opening Workshop, Jan 23-25, 2006, Raleigh, NC
poster [.pdf]
van Dyk, D.A., 2006, SAMSI Opening Workshop, Jan 23-25, 2006, Raleigh, NC
poster [.pdf]
Drake, J., Ratzlaff, P., Edgar, R., Izem, R., Jerius, D., Kashyap, V., & Siemiginowska, A., 2005, in Proc. of 4th Chandra Calibration Workshop, Oct 31-Nov 1, 2005, Cambridge, MA
presentation
Izem, R., in Proc. of 4th Chandra Calibration Workshop, Oct 31-Nov 1, 2005, Cambridge, MA
presentation
Kang, H., van Dyk, D.A., Kashyap, V.L., & Connors, A., 2005, in ``X-Ray Diagnostics of Astrophysical Plasmas: Theory, Experiment, and Observation'', AIP Conference Proceedings, Volume 774, p.373
2005AIPC..774..373K
manuscript [.pdf]
Kang, H., van Dyk, D., Kashyap, V., & Connors, A., 2004, HEAD, 5.01
2004HEAD....8.0501K
poster : [.ps] ; [.pdf]
van Dyk, D.A., Park, T., Kashyap, V.L., & Zezas, A., 2004, HEAD, 16.27
2004HEAD....8.1627V
poster [.pdf]
Yu, Y., Meng, X.L., van Dyk, D.A., Kashyap, V., & Zezas, A., 2004, HEAD, 16.31
2004HEAD....8.1631Y
poster [.ps]
Sourlas, E., Kashyap, V., Zezas, A., & van Dyk, D., 2004, HEAD, 16.32
2004HEAD....8.1632S
poster : [.pdf] ; [.ps]
Park, T., van Dyk, D., & Siemiginowska, A., 2004, HEAD, 16.33
2004HEAD....8.1633P
poster [.pdf]
Yu, Y., van Dyk, D., Siemiginowska, A., Freeman, P., Zezas, A., Kashyap, V., & Connors, A., 2004, HEAD, 16.35
2004HEAD....8.1635Y
Poster [.ps]
Esch, D.N., Connors, A., Karovska, M., & van Dyk, D.A., 2004, ApJ, 610, 1213
2004ApJ...610.1213E
Kang, H., et al., 2003, SPD 34, 02.01
2003SPD....34.0201K
Karovska, M., Esch, D., & van Dyk, D., 2003, HEAD 35, 22.29
2003HEAD...35.2229K
Sourlas, N., et al., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.489
2003sca..book..489S
Kashyap, V., et al., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.451
2003sca..book..451K
Kang, H., et al., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.449
2003sca..book..449K
Hans, C., & van Dyk, D.A., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.429
2003sca..book..429H
Freeman, P.E, et al., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.365
2003sca..book..365F
van Dyk, D.A., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.124
2003sca..book..124V
van Dyk, D.A., 2001, SCMA III, Eds. Eric D. Feigelson, G. Jogesh Babu, New York: Springer, ISBN 0-387-95546-1, 2003, p.70
2003sca..book...70V
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Acknowlegements:

This material is based upon work partially supported by NASA AISR grant NCC2-1206, and National Science Foundation under Grant Nos. DSM 01-04129, 04-38240, and 04-06085 and by NASA Contract NAS8-39073 (CXC). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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