ModifyTOC
Proposed TOC for the Report
- Intro:
- Compact Objects:
- White Dwarfs:
- CVs
- Types:
- Magnetic
- Intermediate
- Double Degenerates
- Other relevant types
- Types:
- CVs
- Neutron Stars:
- qLMXB
- The Secondaries
- M type
- K type
- White Dwarfs:
- Globular Clusters:
- NGC6397
- The Motivation for NGC 6397
- Harris Info
- Compact Object Population (15 CVs candidates, 3 neutron stars (1 qLMXB))
- NGC6397
- Spectroscopy:
- Integral field spectrograph
- MUSE
- Integral field spectrograph
- Compact Objects:
- Observation and Methods:
- MUSE Science Verification and Commissioning Data:
- Public release data and (Husser et al. 2016) work and available processed data
- Data Reduction:
- MUSE Data Reduction Software:
- CPL
- EsoRex
- MUSE “dynamical libraries” or recipes
- Public GitHub Repo with all code to reduce the data:
- Include README ? and wiki if I ever finish it
- MUSE Data Reduction Software:
- Spectra Extraction and analysis ?
- QFitsView (extraction, sum 5 pixel area)
- IRAF/PYRAF (fitting, smoothing, hopefully cross correlation)
- Python (Clustering Exposures, Plotting)
- MUSE Science Verification and Commissioning Data:
- Results:
- Spectra:
- “Brights”
- “Faint”
- ’Intermediate"
- Neutron Star
- Variability:
- Magnitude now, in (Cohn et al. 2010) and (Kaluzny et al. 2006) range
- Mass estimation:
- DP/FWHM vs. q according to [casares_mass_2016]
- Secondary Star:
- M star spectra from (Husser et al. 2016)
- Lack or presence
- Spectra:
- Discussion:
- Two population:
- Dynamically vs. primordial?
- Magnetism ?
- X-Ray ?
- Two population:
- Future Work
- Dr. Guillot MUSE proposal for the qLMXB
- Optimal spectra extraction (Horne 1986)
- Create a Docker container for the data reduction with necessary software.
- Create an Amazon Machine Image to be able to run analysis with the Amazon Elastic Compute Cloud. An example of something like this done in academia is the work of (Ragan-Kelley et al. 2013)
References
Cohn, Haldan N., Phyllis M. Lugger, Sean M. Couch, Jay Anderson, Adrienne M. Cool, Maureen van den Berg, Slavko Bogdanov, Craig O. Heinke, and Jonathan E. Grindlay. 2010. “Identification of Faint Chandra X-Ray Sources in the Core-Collapsed Globular Cluster NGC 6397: Evidence for a Bimodal Cataclysmic Variable Population.” The Astrophysical Journal 722 (October): 20–32. doi:10.1088/0004-637X/722/1/20.
Horne, K. 1986. “An Optimal Extraction Algorithm for CCD Spectroscopy.” Publications of the Astronomical Society of the Pacific 98 (June): 609–17. doi:10.1086/131801.
Husser, Tim-Oliver, Sebastian Kamann, Stefan Dreizler, Martin Wendt, Nina Wulff, Roland Bacon, Lutz Wisotzki, et al. 2016. “MUSE Crowded Field 3D Spectroscopy of over 12,000 Stars in the Globular Cluster NGC 6397 - I. The First Comprehensive Spectroscopic HRD of a Globular Cluster.” ArXiv E-Prints 1602 (February): arXiv:1602.01649. http://adsabs.harvard.edu/abs/2016arXiv160201649H.
Kaluzny, J., I. B. Thompson, W. Krzeminski, and A. Schwarzenberg-Czerny. 2006. “Photometric Study of the Variable Star Population in the Globular Cluster NGC 6397.” Monthly Notices of the Royal Astronomical Society 365 (January): 548–54. doi:10.1111/j.1365-2966.2005.09734.x.
Ragan-Kelley, Benjamin, William Anton Walters, Daniel McDonald, Justin Riley, Brian E Granger, Antonio Gonzalez, Rob Knight, Fernando Perez, and J Gregory Caporaso. 2013. “Collaborative Cloud-Enabled Tools Allow Rapid, Reproducible Biological Insights.” The ISME Journal 7 (3): 461–64. doi:10.1038/ismej.2012.123.