Chandra Data Science Workshop

Tuesday, August 17th

12:00–13:30

12:00–12:10 Opening Remarks SOC Chairs SOC

12:10–12:40 Bayesian X-ray spectral analysis Johannes Buchner MPE

12:40–13:00 Harnessing machine learning to improve the background rejection of Chandra HRC Becky Nevin Harvard & Smithsonian Center for Astrophysics

13:00–13:30 A systematic search for ionised plasma signatures in the X-ray spectra of accreting systems Peter Kosec Massachusetts Institute of Technology

14:00–15:30

Session 2

14:00–14:20 Crowdsourcing X-ray source catalogs with an eye towards machine learning Jeremy Hare USRA, NASA/GSFC

14:20–14:25 Investigating the nature of the X-ray emission of RLQs Shifu Zhu Penn State University

14:25–14:55 Methods for detection of transient X-ray sources Maayane Soumagnac Weizmann Institute of Science, Lawrence Berkeley National Laboratory

14:55–15:00 The deepest Chandra view of RBS 797: unprecedented evidence for two pairs of equidistant X-ray cavities Francesco Ubertosi Dipartimento di Fisica e Astronomia (DIFA) - Università di Bologna, Istituto Nazionale di Astrofisica (INAF) - Osservatorio di Astrofisica e Scienza dello Spazio (OAS)

15:00–15:20 Bringing machine learning to X-ray spectral analysis Carter Rhea L'Université de Montréal

15:20–15:25 New Features of the 35-day Cycle of Hercules X-1 Denis Leahy University of Calgary

Wednesday, August 18th

12:00–13:30

Session 3

12:00–12:05 Novel insight of probing magnetic field morphology in galaxy clusters Yue Hu University of Wisconsin-Madison

12:05–12:10 WR 121a: New results from long term X-ray observations Bharti Arora Aryabhatta Research Institute of Observational Sciences - Nainital (India)

12:10–12:15 Poisson Noise Matched Filter and Implications to X-Ray Imaging Eran Ofek Weizmann Institute of Science

12:15–12:35 Multi-wavelength study of the transient sky Erwan Quintin Institut de Recherche en Astrophysique et Planétologie (IRAP) - Université Toulouse III

12:35–12:40 Change-point Detection and Image Segmentation for Time Series of Astrophysical Images Cong Xu University of California - Davis

12:40–13:10 The Importance of Being Interpretable: Toward An Understandable Machine Learning Encoder for Galaxy Cluster Cosmology Michelle Ntampaka Space Telescope Science Institute

13:10–13:15 X-ray sources in the 1.75 Ms Ultra Narrow Deep Field observed by XMM-Newton Mauricio Elias-Chavez Instituto Nacional de Astrofísica, Óptica y Electrónica

13:15–13:20 Multivariate modelling framework for non-uniform sampled light curves Venkatessh Ramakrishnan University of Concepcion

13:20–13:25 The ALeRCE Broker Lorena Hernández-García Millenium Institute of Astrophysics (MAS)

14:00–15:30

Session 4

14:00–14:20 The latest systematic X-ray study of short GRBs afterglows at late times: implications in progenitor rates Alicia Rouco Escorial Northwestern University

14:20–14:25 Searching for variability in HD179949 Anshuman Acharya Indian Institute of Science Education and Research (IISER) - Mohali, Max Planck Institute for Astrophysics (MPA) Garching

14:25–14:30 Surprisingly Strong K-Band Emission Found in LLAGNs Antoine Dumont University of Utah

14:30–15:00 Machine Learning and Bayesian techniques to harvest large X-ray source catalogs Christian Schneider Hamburger Sternwarte

15:00–15:20 Next Generation Event Characterization Techniques Eric Miller MIT Kavli Institute

15:20–15:25 Bayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru Ashkbiz Danehkar University of Michigan

Thursday, August 19th

12:00–13:30

Session 5

12:00–12:20 Detection of Extended X-ray Emission from Low-Count Sources Bradford Snios Center for Astrophysics | Harvard & Smithsonian

12:20–12:25 Data-Driven Methods to classify X-ray sources Pavan R Hebbar University of Alberta

12:25–12:30 An Xray, IR and Radio view of NGC 281 Priya Hasan Maulana Azad National Urdu University Hyderabad India

12:30–13:00 Characterizing Supernova Remnants Using X-ray Emission Tyler Holland-Ashford Ohio State University/CfA

13:00–13:20 3ML: The Multi-Mission Maximum Likelihood Frame J. Michael Burgess Max Planck Institute for Extraterrestrial Physics

13:20–13:25 Populations of variable sources in Galactic plane from CSC v2. Oleg Kargaltsev George Washington University

14:00–15:30

Session 6

14:00–14:20 A statistical approach to measuring X-ray reverberation in gravitationally lensed quasars Dan Wilkins Stanford University

14:20–14:25 The Large Deficit of HMXB Emission from Luminous Infrared Galaxies: the Case of the Circumnuclear Starburst Ring in NGC 7552 Lacey West University of Arkansas

14:25–14:55 Identifying closely separated and low-count sources in Chandra observations Adi Foord Stanford University - Kavli Institute for Particle Astrophysics and Cosmology

14:55–15:00 Analysis of the Cosmic X-ray Background to constrain Oxygen abundance in Warm-Hot Intergalactic Medium Aswath Suryanarayanan Columbia University

15:00–15:20 Machine learning classification of CXO sources: accounting for measurement uncertainties and confusion Hui Yang The George Washington University

15:20–15:25 Modeling and Fitting in Python with Sherpa Aneta Siemiginowska CfA/CXC

Tuesday, August 24th

10:00–11:30

Session 7

10:00–10:30 Chandra imaging analysis through convolutional neural network Yuanyuan Su University of Kentucky

10:30–10:35 Searching for Quasi-periodic Oscillations of Active Galactic Nuclei in the Chandra Deep Field South Tong Bao Nanjing University

10:35–10:55 An optimized, interpretable and automated source classification for large X-ray surveys Hugo Tranin Institut de Recherche en Astrophysique et Planétologie (IRAP) - Université Toulouse III

10:55–11:00 Be X-ray binaries in the SMC as indicators of mass transfer efficiency Serena Vinciguerra University of Amsterdam

11:00–11:30 Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources Víctor Samuel Pérez Díaz Universidad del Rosario

12:00–13:30

Session 8

12:00–12:30 eBASCS: Disentangling Overlapping Astronomical Sources II, using Spatial, Spectral, and Temporal Information Antoine D. Meyer Imperial College London

12:30–12:35 SNaX: A Database of Supernova X-Ray lightcurves Vikram Dwarkadas University of Chicago

12:35–12:55 Parallel and Scalable Data Analytics with Heat Claudia Comito Jülich Supercomputing Center

12:55–13:00 Upper Limits to the X-ray flux from Betelgeuse Vinay Kashyap Center for Astrophysics | Harvard & Smithsonian

13:00–13:30 Statistical approaches to detecting X-ray variability Eric Feigelson Penn State University

Wednesday, August 25th

10:00–11:30

Session 9

10:00–10:20 Blind source separation techniques for X-ray spectro-imagers Fabio Acero AIM/CEA-Saclay

10:20–10:25 A Unified Binary Neutron Star Merger Magnetar Model for the Chandra X-Ray Transients CDF-S XT1 and XT2 Hui Sun NAOC

10:25–10:30 PyXsis: A light-weight Python package for loading and viewing X-ray spectra Lia Corrales University of Michigan

10:30–10:50 A non-parametric machine learning technique for deconvolution of temperature profiles in galaxy clusters Asif Iqbal CEA - Paris-Saclay

10:50–10:55 Synthetic X-ray Spectra Soup to Nuts Marc Gagné West Chester University

10:55–11:25 Machine Learning for Axion Searches Francesca Chadha-Day Durham University

12:00–13:30

Session 10: Panel Discussion

12:00–12:15 Identification of counterparts to X-ray sources using Machine Learning (but not only) Mara Salvato MPE

12:15–12:30 Cross Matching with the Chandra Source Catalog Arnold Rots Center for Astrophysics | Harvard & Smithsonian

12:30–12:45 The XMM-Newton Serendipitous Source Catalogues and Source Variability Iris Traulsen Leibniz Institute for Astrophysics Potsdam (AIP)

12:45–13:00 Classifying Chandra sources in Andromeda Pauline Barmby Western University

13:00–13:30 Discussion on Large Catalogs, Classification, and Cross-Matching Invited Panelists

Thursday, August 26th

10:00–11:30

Session 11

10:00–10:30 Understanding and mitigating the charged particle background in X-ray observatories Catherine Grant MIT Kavli Institute

10:30–10:50 Mocking the Universe with pyXSIM and SOXS John ZuHone Center for Astrophysics | Harvard & Smithsonian

10:50–10:55 Fitting AGN X-ray spectral parameters and reconstructing their parent distributions with Bayesian methods Lingsong Ge University of Geneva

10:55–11:00 Poisson Noise Matched Filter and Implications to X-Ray Imaging Eran Ofek Weizmann Institute of Science

11:00–11:30 Coherent Multi-stage Data Analyses in High-Energy Astrophysics David A van Dyk Imperial College London

12:00–13:30

Session 12

12:00–12:30 Constraining the power of X-ray wind in NGC 4051: a Bayesian approach Anna Ogorzalek NASA Goddard Space Flight Center, University of Maryland College Park

12:30–12:35 Importance of Distance in Automated Classification of X-ray Sources Steven Chen George Washington University

12:35–12:55 Stellar wind variability in Cyg X-1 from high-resolution excess variance spectroscopy with Chandra Lucia Härer Dr. Karl-Remeis Observatory - University of Erlangen-Nürnberg

12:55–13:15 Effect of Systematic Uncertainties on Density and Temperature Estimates in Coronae of Capella Xixi Yu Imperial College London

13:15–13:30 Closing Remarks SOC Chairs SOC

Chandra Data Science

Chandra Data Science:
Novel Methods in Computing and Statistics for X-ray Astronomy

Session Schedule

Chandra Data Science

Chandra Data Science: Novel Methods in Computing and Statistics for X-ray Astronomy

Session Schedule

Chandra Data Science:
Novel Methods in Computing and Statistics for X-ray Astronomy