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Proceedings of SPIE | 2010

PySALT: the SALT science pipeline

Steven M. Crawford; Martin Still; P. Schellart; Luis Balona; David A. H. Buckley; Garith Dugmore; Amanda A. S. Gulbis; Alexei Yu. Kniazev; Marissa Kotze; N. Loaring; Kenneth H. Nordsieck; Timothy E. Pickering; Stephen B. Potter; Encarni Romero Colmenero; Petri Vaisanen; Theodore B. Williams; Ewald Zietsman

PySALT is the python/PyRAF-based data reduction and analysis pipeline for the Southern African Large Telescope (SALT), a modern 10m class telescope with a large user community consisting of 13 partner institutions. The two first generation instruments on SALT are SALTICAM, a wide-field imager, and the Robert Stobie Spectrograph (RSS). Along with traditional imaging and spectroscopy modes, these instruments provide a wide range of observing modes, including Fabry-Perot imaging, polarimetric observations, and high-speed observations. Due to the large user community, resources available, and unique observational modes of SALT, the development of reduction and analysis software is key to maximizing the scientific return of the telescope. PySALT is developed in the Python/PyRAF environment and takes advantage of a large library of open-source astronomical software. The goals in the development of PySALT are: (1) Provide science quality reductions for the major operational modes of SALT, (2) Create analysis tools for the unique modes of SALT, and (3) Create a framework for the archiving and distribution of SALT data. The data reduction software currently provides support for the reduction and analysis of regular imaging, high-speed imaging, and long slit spectroscopy with planned support for multi-object spectroscopy, high-speed spectroscopy, Fabry-Perot imaging, and polarimetric data sets. We will describe the development and current status of PySALT and highlight its benefits through early scientific results from SALT.


Monthly Notices of the Royal Astronomical Society | 2010

Ionized gas in E/S0 galaxies with dust lanes

Ido Finkelman; Noah Brosch; G S J José Funes; Alexei Yu. Kniazev; Petri Vaisanen

We report the results of multicolour observations of 30 E/S0 galaxies with dust lanes. For each galaxy we obtained broad-band images and narrow-band images using interference filters isolating the H�+[NII] emission lines to derive the amount and morphology of dust and ionized gas. To improve the wavelength coverage we retrieved data from the SDSS and 2MASS and combined these with our data. Ionized gas is detected in 25 galaxies and shows in most cases a smooth morphology, although knots and filamentary structure are also observed in some objects. The extended gas distribution closely follows the dust structure, with a clear correlation between the mass of both components. An extinction law by the extragalactic dust in the dark lanes is derived and is used to estimate the dust content of the galaxies. The derived extinction law is used to correct the measured colours for intrinsic dust extinction and the data are �


Proceedings of SPIE | 2014

Commissioning MOS and Fabry-Perot modes for the Robert Stobie Spectrograph on the Southern African Large Telescope

Anthony Koeslag; T. B. Williams; Kenneth H. Nordsieck; Encarni Romero-Colmenero; Petri Vaisanen; D. S. Maartens

The Southern African Large Telescope (SALT) currently has three instruments: the imaging SALTICAM, the new High Resolution Spectrograph (HRS) which is in the process of being commissioned and the Robert Stobie Spectrograph (RSS). RSS has multiple science modes, of which long slit spectroscopy was originally commissioned; We have commissioned two new science modes: Multi Object Spectroscopy (MOS) and Fabry-Perot (FP). Due to the short track times available on SALT it is vital that acquisition is as efficient as possible. This paper will discuss how we implemented these modes in software and some of the challenges we had to overcome. MOS requires a slit-mask to be aligned with a number of stars. This is done in two phases: in MOS calibration the positions of the slits are detected using a through-slit image and RA/DEC database information, and in MOS acquisition the detector sends commands to the telescope control system (TCS) in an iterative and interactive fashion for fine mask/detector alignment to get the desired targets on the slits. There were several challenges involved with this system, and the user interface evolved to make the process as efficient as possible. We also had to overcome problems with the manufacturing process of the slit-masks. FP requires the precise alignment each of the two etalons installed on RSS. The software makes use of calibration tables to get the etalons into roughly aligned starting positions. An exposure is then done using a calibration arc lamp, producing a ring pattern. Measurement of the rings allows the determination of the adjustments needed to properly align the etalons. The software has been developed to optimize this process, along with software tools that allow us to fine tune the calibration tables. The software architecture allows the complexity of automating the FP calibration and procedures to be easily managed.


arXiv: Cosmology and Nongalactic Astrophysics | 2010

Super Star Clusters and Supernovae in Interacting LIRGs Unmasked by NIR Adaptive Optics

Petri Vaisanen; Zara Randriamanakoto; E. Kankare; Seppo Mattila; Stuart Ryder

We report on an ongoing near-IR adaptive optics survey targeting interacting luminous IR galaxies. High-spatial resolution NIRdata are crucial to enable interpretation of kinematic, dynamical and star formation (SF) properties of these very dusty objects.Whole progenitor nuclei in the interactions can be missed if only optical HST imaging is used. Here we specifically present the latest results regarding core-collapse supernovae found within the highly extincted nuclear regions of these galaxies. Direct detection and study of such highly obscured CCSNe are crucial for revising the optically derived SN rates used for providing an independent measurement of the SF history of the Universe. We also present thus far the first NIR luminosity functions of super star cluster (SSC) candidates. The LFs can then be used to constrain the formation and evolution of SSCs via constraints based on initial mass functions and cluster disruption models.


Proceedings of the International Astronomical Union | 2010

The Environments of Luminous IR Galaxies

Abiy G. Tekola; Petri Vaisanen; Andreas A. Berlind

We have studied the star formation vs. environment connection of local LIRGs by characterising their environment using number densities of galaxies as well as halo masses. It is found that LIRGs preferentially live in group environments and that they also exhibit a relation where their star formation rate increases with their environmental density.


arXiv: Cosmology and Nongalactic Astrophysics | 2009

Star formation properties and dynamics of Luminous Infrared Galaxies with adaptive optics

Petri Vaisanen; Stuart Ryder; Seppo Mattila


Archive | 2010

Possible Supernova in IC 883 : Psn K1002-1

E. Kankare; Seppo Mattila; Stuart D. Ryder; M. A. Perez-Torres; Cristina Romero-Canizales; A. Alberdi; A. Alonso-Herrero; Luis Colina; A. Efstathiou; Jari K. Kotilainen; Petri Vaisanen


Archive | 2010

A Symbiotic Star in NGC6822

Alexei Yu. Kniazev; Petri Vaisanen; Patricia A. Whitelock; David A. H. Buckley


Archive | 2007

Supernova 2004ip in IRAS 18293-3413 = Psn K0409-001

Seppo Mattila; Petri Vaisanen; Peter Meikle; Tomas Dahlen; A. Efstathiou; D. Farrah; Claes Fransson; Paulina Lira; Peter Lundqvist; Göran Östlin; Stuart D. Ryder; Jesper Sollerman


Archive | 2006

Supernovae 2006fa and 2006fd-2006fn

Bruce A. Bassett; Andrew Cameron Becker; Howard J. Brewington; Choong Gon Choi; D. Cinabro; F. DeJongh; Jack Dembicky; D. L. DePoy; Benjamin E. P. Dilday; Mamoru Doi; Joshua A. Frieman; Peter Marcus Garnavich; Michael Harvanek; Craig J. Hogan; Jon A. Holtzman; Myungshin Im; Saurabh W. Jha; Kohki Konishi; Jurek Krzesinski; Hubert Lampeitl; Richard Kessler; B. Ketzeback; Daniel C. Long; O. V. Malanushenko; John P. Marriner; Russet Jennifer McMillan; Gajus A. Miknaitis; Robert C. Nichol; Kaike Pan; Jose Luis Palacio Prieto

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