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Data Reduction Integrated Python Protocol for the Arecibo Pisces-Perseus Supercluster Survey(DRIPP for APPSS)Developments in open-source high-level programming languages enable undergraduate students to make vital contributions to modern astronomical surveys. The Arecibo Pisces-Perseus Supercluster Survey (APPSS) currently uses data analysis software written in Interactive Data Language (IDL). We discuss the conversion of this software to the Python programming language, which uses freely available standard libraries, and the conversion of the data to a standard form of the Single-Dish FITS (SDFITS) standard. Data Reduction Integrated Python Protocol (DRIPP) provides user-guided data reduction with an interface similar to the former software written in IDL. Converting to DRIPP would provide researchers with more accessible data processing capabilities for APPSS (or any similar radio spectral survey). This work has been supported by NSF AST-1637339.
The Undergraduate ALFALFA team is currently focusing on the analysis of the Pisces-Perseus Supercluster to test current supercluster formation models. The primary goal of our research is to reduce L-band HI data from the Arecibo telescope. To reduce the data we use IDL programs written by our collaborators to reduce the data and find potential sources whose mass can be estimated by the baryonic Tully-Fisher relation, which relates the luminosity to the rotational velocity profile of spiral galaxies. Thus far we have reduced data and estimated HI masses for several galaxies in the supercluster region. We will give examples of data reduction and preliminary results for both the fall 2015 and 2016 observing seasons. We will also describe the data reduction process and the process of learning the associated software, and the use of virtual observatory tools such as the SDSS databases, Aladin, TOPCAT and others. This research was supported by the NSF grant AST-1211005. (Student Poster Presentation)
The Arecibo Pisces-Perseus Supercluster Survey is a targeted HI survey of galaxies that began its second observing season in October 2016. The survey is conducted by members of the Undergraduate ALFALFA Team (UAT) and extensively involves undergraduates in observations, data reduction, and analysis. It aims to complement the HI sources identified by the ALFALFA extragalactic HI line survey by probing deeper in HI mass (to lower masses) than the legacy survey itself. Measurements of the HI line velocity widths will be combined with uniform processing of images obtained in the SDSS and GALEX public databases to localize the sample within the baryonic Tully Fisher relation, allowing estimates of their redshift-independent distances and thus their peculiar velocities. The survey is designed to constrain Pisces-Perseus Supercluster infall models by producing 5-σ detections of infall velocities to a precision of about 500 km/s. By targeting galaxies based on SDSS and GALEX photometry, we have achieved detection rates of 68% of the galaxies in our sample. We will discuss the target selection process, HI velocities and mass estimates from the 2015 fall observing season, preliminary results from 2016 observations, and preliminary comparisons with inflow models predicted by numerical simulations. This work has been supportedmore »