1 / 16

DCR

DCR. Plan of presentation Soumya Mohanty : Overview, aims & work done R. Balasubramanian : Details of Hardware, Database Using the database: R. Balasubramanian Soma Mukherjee S. Babak. Quality flags. DATA MINING. DCR. Database of change pts. All Channels. EXPLORATORY ANALYSIS.

luz
Télécharger la présentation

DCR

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. DCR Plan of presentation • Soumya Mohanty: Overview, aims & work done • R. Balasubramanian: Details of Hardware, Database • Using the database: • R. Balasubramanian • Soma Mukherjee • S. Babak Soumya D. Mohanty, AEI

  2. Quality flags • ... DATA MINING DCR Database of change pts. All Channels EXPLORATORY ANALYSIS Short data Stretches What is DCR? Soumya D. Mohanty, AEI

  3. Using a database: Data Mining & Data Exploration • Different but complementary approaches. • Data exploration: • I want to see the time series corresponding to a bunch of triggers that I selected from a database. (Then do more analysis on this selected data.) • Typically, Follow up data is short, Quick look environment needed, no specific queries • Data Mining: • Can the transients seen over a month be classified into groups? What was the rate of transients in each group as a function of time (Maybe some types occur in the day, some occur in the night). (Then use this information to quantify the quality of long data stretches). • Purely database based; Re-analysis of raw data may be impractical Soumya D. Mohanty, AEI

  4. DCR: Control the false alarm rate DATABASE What is special about DCR? • Any such transformation will introduce errors • Spurious information • Misses genuine stuff Information Transformer Raw noisy data Soumya D. Mohanty, AEI

  5. Control on False Alarm Rate • Important for Data mining • Statistical analysis done on database itself since reanalysis of long stretch of data expensive • Need to put error bars • Not so important for Data exploration • Looking for information about specific events • Each explorer will work with his/her own short data stretch Soumya D. Mohanty, AEI

  6. Soumya Mohanty, Soma Mukherjee, CQG, 2002. Restricted DCR (rDCR) Initial Design of DCR Soumya D. Mohanty, AEI

  7. rDCR project: Beginnings • Group formed Sep’01 • AEI: Soumya Mohanty (lead), Soma Mukherjee • Cardiff: R.Balasubramanian, S.Babak, D.Churches, B.S.Sathyaprakash • Birmingham: A.Vecchio, R.Ingley (new) • Decided to include Kalman Filter also • Made list of software components: GEO++ and support • Much thinking on the Design of GEO++ • Coding started Oct’01 Soumya D. Mohanty, AEI

  8. Aspects of rDCR project, Status • Building GEO++ • Integration of GEO++, Frames, MPI, MySQL • Integration of entire chain on Hannover Beowulf • Implementing DCR algorithms • MBLT: existed as a mixture of C and matlab codes • PSDCD: exists as a C++ (DMT ready) code • Simple Non-stationarity detector • Database Analysis • Administrative: CVS, Web Site, Coding conventions etc. Soumya D. Mohanty, AEI

  9. GEO++ • Major component of all the work done so far • All GEO++ codes planned have been completed and tested Soumya D. Mohanty, AEI

  10. Frame, MPI integration • Reading Frames: adopted a simple model for data requests • Status: Done • Purpose of MPI code: to encapsulate a GEO++ based code and run it on a Beowulf cluster • One slave – one channel dataflow model implemented • Status: Done Soumya D. Mohanty, AEI

  11. Integration with MySQL • Creating an elegant and easy to use OO design took most of the time • Writing to database done Soumya D. Mohanty, AEI

  12. Run entire chain on the Hannover Beowulf • Making Beowulf ready, installing software took about a month • Done Run Simple monitor on all channels Database Get Data Read Frames Soumya D. Mohanty, AEI

  13. rDCR Algorithms: Implementation • MBLT code in C++ written • Completion of MBLT was dependent on a number of lower level classes • Filter, Filter Design, Demod, Modulate, Running Median. • Code now complete and under testing • Did not get a significant increase in performance over Matlab code • Mainly because the most time consuming part is coded in C and the same is used here. • This is quite preliminary Soumya D. Mohanty, AEI

  14. Database Analysis • A simple monitor was built to test IO and as many classes as possible while the DCR algorithms were being coded • Main aim: start exercising the post-database analysis chain (software, logistics) • Software: Matlab, Triana • Logistics: Need to transfer tables to local machines Soumya D. Mohanty, AEI

  15. DCR on the Web http://www.aei.mpg.de/~mohanty/DCR/DCRindex.html Soumya D. Mohanty, AEI

  16. Current Status & Plans • All software originally planned in place • MBLT code ready; testing • Database analysis exercises done • Plans: • Construct a simple non-stationarity test • Complete rDCR • Complete Kalman Filter • Run on all of coincidence run data • Extend GEO++ • Analyse rDCR database Soumya D. Mohanty, AEI

More Related