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ATTENTION : Connection problem on SciencesConf
on thursday 12/01/2023 |
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School description > Research projectsThe students will be separated in groups of four to five, and assigned to a research project under the supervision of an expert tutor. A total of 50 hours will be available to work on the projects. The projects will be carried on using the students own laptops (and access to remote servers when necessary), that shall ideally be running a Linux-like environment. Prescriptions concerning the software packages to be pre-installed will be communicated before the school. The list of projects is given below: Automated Spectral Classification of Two Spectral Libraries Tutors: Ranjan Gupta (IUCAA, Pune) & Harinder P Singh (University of Delhi, New Delhi)
The Project will involve Artificial Neural Network (ANN) based classification tools for two dimensional classification (Spectral Type and Luminosity) of stellar spectral libraries. The 1D spectra (ascii files) will be provided to the project group. Group 1: Akant Vats, Shrish Shrish, Ruchi Pandey
Extragalactic Fishing Experiment in the MUSE Hubble deep field. Find high redshift galaxies not even seen by Hubble Tutor: Roland Bacon (CRAL, Lyon)
Find and identify galaxies by exploring the deep datacube recently obtained by MUSE in the Hubble deep field area. We will make available to the participants the deepest spectroscopic observation ever made in the emblematic Hubble deep field. Group 2: Divya Pandey, Dimple Panchal, Anshuman Borgohain, Suraj Dhiwar
Identifying emission-line objects and understanding the detection limits Tutor: Mohammad Akhlaghi (IAC, Tenerife)
The aim of this project is to identify emission-line only objects, detected in the deep MUSE HUDF field, see Bacon et al. (2017). Similar to that paper, the objects that don't have a Hubble Space Telescope (HST) broad-band imagining counterpart will be found (but with newer and much-improved versions of the software). Special emphasis will be put on the completeness and purity of the detection process to understand the limits of any later analysis done on them. The project will also be done in a reproducible manner. See the published reproduction pipeline of the analysis in Bacon et al. (2017). Software requirement: GNU Astronomy Utilities (Gnuastro version 0.10), see installation instructions) Group 3: Deepak, Sheeraz Khandey, Manish Hiray, Amina Thekkoth
Stellar abundances using high-resolution spectra Tutor:Sunetra Giridhar (IIA, Bengaluru) Description: It will involve spectroscopic reductions using IRAF. We will use wavelength calibrated, continuum normalized spectra to derive stellar atmospheric parameters and elemental abundances and learn about the evolutionary status of the star. Software requirement: IRAF software developed by NOAO for spectroscopic data reduction (http://ast.noao.edu/data/software). MOOG software package for deriving stellar parameters and elemental abundances (https://www.as.utexas.edu/~chris/moog.html). Both this software run on Linux. MOOG requires SUPERMONGO for plotting. Group 4: Amar Aryan, Pranoti Panchbhai, Prabhakar Maya
Polarimetry Data Analysis Tutor:A. N. Ramaprakash/S. Maharana (IUCAA, Pune) Description: In this project, the participants will analyze archival RoboPol(http://robopol.org/)linear polarimetry data and extract scientific information from different astrophysical systems. Semi-analyzed RoboPol data for stars/blazars will be provided from which the participants will compute Linear Stokes parameters, and correct it for instrumental errors and offsets. Error estimation and propagation at each step of the analysis process will be an important part of the exercise. Through the obtained Stokes parameters, the participants will then carry out one or more of the following science cases: 1. Finding magnetic field morphology and dust grain properties in a patch of sky. Group 5: Siddharth Maharana, P Jishnu, K Arvind Determination of stellar atmospheric parameters of globular cluster stars from MUSE observations Tutor: Philippe Prugniel (CRAL, Lyon)
Description: We will use the spectra of the globular cluster NGC 6397 stars extracted from MUSE cubes as described in
Husser et al. (2016), in order to derive their atmospheric parameters and study the properties of the cluster.
Software requirements: IDL (use your home institute or university license; IDL version 7 is sufficient) or GDL (the open-source alternative), and ULySS. Group 6: Sonali Borah, M Raghu Prasad, Soumya Gupta
Pattern speed of bars in disk galaxies using IFU data Tutor: Kanak Saha (IUCAA, Pune) Description: More than 60% of disk galaxies including our Milky Way in the local universe host bars in their central region. Bars are one of the strongest non-axisymmetric patterns that are known to rotate with a fixed pattern speed. The goal of this project is to compute that pattern speed. The participant of this project will be provided with IFU data on a set of disk galaxies in FITS format. Appropriate formalism to carry out this analysis will be provided in the afternoon session of Day-I of IFAS5. Softwares/coding: Ds9, Topcat or fv for FITS data visualization. Knowledge of Fortran or Python or IDL programming. Group 7: Suchira Sarkar, Kerdaris Kurbah, Soumavo Ghosh
PROJECT PRESENTATIONS on Saturday 24 August (15+5 mts) Group 4: 1400-1420 Group 6: 1420-1440 Group 3: 1440-1500 Group 1: 1500-1520 Group 5: 1520-1540 Group 2: 1540-1600 Group 7: 1600-1620 Concluding Session (and Tea): 1620-1630
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