MACHO data pipeline

Timothy S. Axelrod; R. A. Allsman; Peter J. Quinn; Charles R. Alcock; D. Alves; A. Becker; D. P. Bennett; Kenneth H. Cook; A. Drake; K. C. Freeman; Kim Griest; M. Lehner; Stuart L. Marshall; D. Minniti; Bruce A. Peterson; Mark R. Pratt; Alex W. Rodgers; Christopher W. Stubbs; W. J. Sutherland; Austin Tomaney; T. Vandehei; D. Welch

doi:10.1117/12.316482

3 July 1998 MACHO data pipeline

Timothy S. Axelrod, R. A. Allsman, Peter J. Quinn, Charles R. Alcock, D. Alves, A. Becker, D. P. Bennett, Kenneth H. Cook, A. Drake, K. C. Freeman, Kim Griest, M. Lehner, Stuart L. Marshall, D. Minniti, Bruce A. Peterson, Mark R. Pratt, Alex W. Rodgers, Christopher W. Stubbs, W. J. Sutherland, Austin Tomaney, T. Vandehei, D. Welch

Author Affiliations +

Proceedings Volume 3349, Observatory Operations to Optimize Scientific Return; (1998) https://doi.org/10.1117/12.316482
Event: Astronomical Telescopes and Instrumentation, 1998, Kona, HI, United States

Abstract

The MACHO experiment is searching for dark matter in the halo of the Galaxy by monitoring more than 50 million stars in the LMC, SMC, and Galactic bulge for gravitational microlensing events. The hardware consists of a 50 inch telescope, a two-color 32 megapixel ccd camera and a network of computers. On clear nights the system generates up to 8 GB of raw data and 1 GB of reduced data. The computer system is responsible for all realtime control tasks, for data reduction, and for storing all data associated with each observation in a database. The subject of this paper is the software system that handles these functions. It is an integrated system controlled by Petri nets that consists of multiple processes communicating via mailboxes and a bulletin board. The system is highly automated, readily extensive, and incorporates flexible error recovery capabilities. It is implemented with C++ in a Unix environment.

Citation Download Citation

Timothy S. Axelrod, R. A. Allsman, Peter J. Quinn, Charles R. Alcock, D. Alves, A. Becker, D. P. Bennett, Kenneth H. Cook, A. Drake, K. C. Freeman, Kim Griest, M. Lehner, Stuart L. Marshall, D. Minniti, Bruce A. Peterson, Mark R. Pratt, Alex W. Rodgers, Christopher W. Stubbs, W. J. Sutherland, Austin Tomaney, T. Vandehei, and D. Welch "MACHO data pipeline", Proc. SPIE 3349, Observatory Operations to Optimize Scientific Return, (3 July 1998); https://doi.org/10.1117/12.316482

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available