Measuring the Redshift of M104 The Sombrero Galaxy

Similar documents
Lab 4: Stellar Spectroscopy

Reduction procedure of long-slit optical spectra. Astrophysical observatory of Asiago

New Extended Radio Sources From the NVSS

College of San Mateo Observatory

The Hubble Redshift Distance Relation

Introduction of near-infrared (NIR) spectroscopy. Ken-ichi Tadaki (NAOJ)

1. Give short answers to the following questions. a. What limits the size of a corrected field of view in AO?

Model SGS Dual CCD Self-Guiding Spectrograph

Measuring the Age of the Universe

CHEMICAL ABUNDANCE ANALYSIS OF RC CANDIDATE STAR HD (46 LMi) : PRELIMINARY RESULTS

Introduction to SDSS -instruments, survey strategy, etc

Astronomical frequency comb for calibration of low and medium resolution spectrographs

Studies of diffuse UV radiation

Spring 2001: Hubble Redshift-Distance Relation

Spectroscopy in Astronomy

Lecture 32: The Expanding Universe Readings: Sections 26-5 and 28-2

The Challenge of AZ Cas-Part 1. John Menke Barnesville, MD Abstract

1 A photometric probe for Pan-STARRS

Physics 476LW Advanced Physics Laboratory Atomic Spectroscopy

Exploring Data. Keck LRIS spectra. Handbook of CCD Astronomy by Steve Howell Chap. 4, parts of 6

Department of Physics and Astronomy University of Iowa 29:137 Astronomical Laboratory Fall 2011 Lab 4: Stellar Spectroscopy

Stars Above, Earth Below By Tyler Nordgren Laboratory Exercise for Chapter 10

Lecture 8. October 25, 2017 Lab 5

Problem Solving. radians. 180 radians Stars & Elementary Astrophysics: Introduction Press F1 for Help 41. f s. picture. equation.

The Planetary Nebula Spectrograph

Sun Building Activity 2 The Signature of the Stars

Fringe Correction for STIS Near-IR Long-Slit Spectra using Contemporaneous Tungsten Flat Fields

Galaxies. The majority of known galaxies fall into one of three major classes: spirals (78 %), ellipticals (18 %) and irregulars (4 %).

WHAT DO RADIAL VELOCITY MEASUREMENTS TELL ABOUT RV TAURI STARS?

Small Aperture Amateur Observational Capabilities/Tools (Imaging/Photometry/Spectroscopy)

Hubble's Law and the Age of the Universe

Astronomy. Optics and Telescopes

a computer running the CLEA activity The Large Scale Structure of the Universe. a computer running a spreadsheet program

Extraction of Point Source Spectra from STIS Long Slit Data

Optical/IR Observational Astronomy Spectroscopy. David Buckley, SALT

The Spectroscopy of Stars

1 Lecture, 2 September 1999

Investigating the Efficiency of the Beijing Faint Object Spectrograph and Camera (BFOSC) of the Xinglong 2.16-m Reflector

Lab 4 Radial Velocity Determination of Membership in Open Clusters

Determining the Orbital Period of the Cataclysmic Variable CSS1204 Using Data from the Vatican Advanced Technology Telescope

Sky Brightness at the Hobby-Eberly Telescope

SUPPLEMENTARY INFORMATION

Analysis of the rich optical iron-line spectrum of the x-ray variable I Zw 1 AGN 1H

PHY 475/375. Lecture 2. (March 28, 2012) The Scale of the Universe: The Shapley-Curtis Debate

OPTION E, ASTROPHYSICS TEST REVIEW

Southern African Large Telescope

Automated Search for Lyman Alpha Emitters in the DEEP3 Galaxy Redshift Survey

Hubble s Law and the Cosmic Distance Scale

Astr 2310 Thurs. March 3, 2016 Today s Topics

ASTR 1040: Stars & Galaxies

Hubble s Law. Tully-Fisher relation. The redshift. λ λ0. Are there other ways to estimate distances? Yes.

Obtain one of the laminated sheets, and classify the numbered objects by color (hopefully obvious) and by shape:

The in-orbit wavelength calibration of the WFC G800L grism

OPTION E, ASTROPHYSICS TEST REVIEW

Lecture 22: The expanding Universe. Astronomy 111 Wednesday November 15, 2017

AS 101: Day Lab #2 Summer Spectroscopy

The Pulsation Properties of the Double-Mode RR Lyrae Variable V79 in Messier 3

Laboratory Exercise. Atomic Spectra A Kirchoff Potpourri

Quasars: Imaging the Visible Edge of the Universe. David Haworth Copyright 2010

Prentice Hall EARTH SCIENCE

By Percy Jacobs Pretoria ASSA Centre 2017

Transiting Exoplanet in the Near Infra-red for the XO-3 System

Characterisation & Use of Array Spectrometers

UV Quality Assurance. Dark Current Correction

UNIVERSITY COLLEGE LONDON. Measuring a Stellar Spectrum

Infrared Spectroscopy of the Black Hole Candidate GRO J

A Search for Dark Matter in an Edge on Spiral Galaxy

Unusual orbits in the Andromeda galaxy Post-16

Learning Objectives. distances to objects in our Galaxy and to other galaxies? apparent magnitude key to measuring distances?

Radio Astronomy Project. VLA and VLBA Observations of AGN

EXPERIMENT 09 OBSERVATION OF SPECTRA

Southern African Large Telescope. Prime Focus Imaging Spectrograph. Instrument Acceptance Testing Plan

Software for Interactively Visualizing Solar Vector Magnetograms of Udaipur Solar Observatory

Visible spectrum 1. Spectroscope. Name:

NAOYUKI TAMURA Subaru Instrument Astronomer Subaru Telescope, NAOJ

1) What do all waves transport from one place to another?

Physics 24: The Big Bang, Week 3: Hubble s Law David Schlegel, LBNL

Objectives: (a) To understand how to display a spectral image both as an image and graphically.

In this lab you will measure how fast the Universe is expanding, how old it is, and the distance to some nearby galaxies.

Millimagnitude Accuracy Photometry of Extra solar Planets Transits using Small Telescopes

Photometric Studies of GEO Debris

Lab 6: Spectroscopy Due Monday, April 10

Exponential Profile Fitting on the Unusual SAB(s)bc galaxy M106 Alex K Chen Astronomy Department, University of Washington

VIRUS: A giant spectrograph

The Big Bang Theory. Rachel Fludd and Matthijs Hoekstra

The Hubble Redshift Distance Relation Student Manual

The Orbiting Carbon Observatory (OCO)

Chapter 11 The Superuniverse Wall

DOAS measurements of Atmospheric Species

APAS Laboratory { PAGE } Spectroscopy SPECTROSCOPY

Emission Spectrum of Atomic Gases. Prelab Questions

Laboratory Exercise 8 MEASUREMENTS IN ASTRONOMY

Active Nuclei and their Host Galaxies: Observations of Seyfert Galaxies

AST 102 chapter 5. Radiation and Spectra. Radiation and Spectra. Radiation and Spectra. What is light? What is radiation?

Do the Large Magellanic Cloud and the Milky Way Globular Clusters Share a Common Origin?

Southern African Large Telescope

Publ. Astron. Obs. Belgrade No. 86 (2009), TURKISH NATIONAL OBSERVATORY (TUG) VIEW OF CLUSTERS OF GALAXIES

Journal Club Presentation on The BIMA Survey of Nearby Galaxies. I. The Radial Distribution of CO Emission in Spiral Galaxies by Regan et al.

Ivan Valtchanov Herschel Science Centre European Space Astronomy Centre (ESAC) ESA. ESAC,20-21 Sep 2007 Ivan Valtchanov, Herschel Science Centre

STUDIES OF SELECTED VOIDS. SURFACE PHOTOMETRY OF FAINT GALAXIES IN THE DIRECTION OF IN HERCULES VOID

Transcription:

Measuring the Redshift of M104 The Sombrero Galaxy Robert R. MacGregor 1 Rice University Written for Astronomy Laboratory 230 Department of Physics and Astronomy, Rice University May 3, 2004 2 Abstract Spectroscopic measurements of M104 were taken in the visible region. Spectral features were identified and the redshift of M104 was determined to be z =0.0057 corresponding to a velocity of 1720+/220 km/s, a figure well within an order of magnitude of the best accepted value. Based on the redshift, the distance to M104 was estimated using Hubble s relation. Introduction M104 is an 8th magnitude Sa-Sb type galaxy in Virgo with an apparent dimension of 9x4 arcmin [1]. In 1912 Vesto M. Slipher at the Percival Lowell Observatory observed and measured the redshift of the galaxy (now known to be 1024±5km/s [2]), and concluded the object must be extragalactic due to its extraordinarily high velocity [1]. The brightness and relatively large redshift of M104 make it an ideal target for basic spectroscopic measurements from the northern hemisphere. When reduced, these measurements can be converted into a spectrum, and atomic absorption lines can be identified to determine the redshift (by comparison with their known values from laboratory measurements), and hence velocity of M104. Such analysis is typical of measurements taken in the early 20 th century, and can be used to test the validity of Hubble s Law: v = H 0 D where v is the receding velocity of the galaxy, D is the distance to the galaxy, and H 0 is Hubble s constant. For our case of measuring a single red- 1 email address: rrm@vsepr.com 2 This image is under the public domain. Taken by the Hubble Space Telescope and available from the Space Telescope Science Institute Hubble Heritage Project. 1

Figure 1: 60s processed exposure of M104 shift, Hubble s law can be used to determine the distance to M104. Experimental Procedures Observing was carried out on the Rice University Campus Observatory s 16 MEADE r LX200GPS Schmidt-Cassegrain telescope on April, 1 2004. Guiding was done automatically using a computer running TheSky TM, with manual guiding correction during long exposures done with the aid of a separate guiding CCD. Imaging was carried out on a 512x512 pixel CCD using a 3x focal reducer to increase the field of view. Spectroscopy was carried out with a single slit spectrometer (slit width 72µm) imaging onto a 765x510 pixel CCD. After locating M104, a 60 second exposure was taken (including a 60s dark exposure automatically subtracted by the software). Three 0.1s flat field images of scattered incandescent lamp light were then taken (also with dark subtracted). The spectrometer was then attached and a 60s exposure of scattered light from a Ne arc lamp was taken for calibration. This was followed by three sets of three 600s exposures of M104 with a Ne spectrum taken between each set to track any spectral drift. A 600s exposure of nearby sky was taken to estimate the background. An 8s exposure of µ-uma was taken also for calibration purposes. Six hundred second duration dark exposures were then taken as well as a set of 40s Hg and Ne spectra. Finally, three 20s flat field spectra were taken. Data Reduction All data processing was done using the Image Reduction Analysis Facility (IRAF). 3 The image file was divided by an average of the three flat field exposures to remove any gradients in the CCD response. The average was first normalized to around unity by dividing by the mean of the central portion of the image. This image was then cropped and is displayed in Figure 1. Additionally, contour plots of the image were made using the surface command to emphasize the dark band caused by a lane of obscuring dust (shown in Figure 2). Spectral analysis was conducted using the apextract package in IRAF. The three dark exposures 3 IRAF is freely available from the National Optical Astronomy Observatory at http://iraf.noao.edu 2

Profile 1 Profile 2 Figure 2: 3D Profiles of Figure1 were first averaged and the resultant was subtracted individually from all nine spectra. The flat-field images were averaged and normalized as before (with the exception that the average was divided by a 21x21 boxcar smoothed image of the average instead of a constant). This normalized average was then divided into the individual spectra to equalize pixel response. The apall task was used to extract one dimensional spectra from the two dimensional CCD image. Briefly, apall identifies an aperture on the CCD (i.e., the two-dimensional dispersed image of M104 in our case), tracks the aperture across the CCD to account for curvature or skewness in the spectrum image, subtracts the background from the spectrum based on a fit to surrounding background regions on the CCD, and finally outputs the one dimensional spectrum. This process was done on the first spectrum, and all subsequent spectrum used the first as a reference to define the aperture (to guarantee similarity for all the spectra in order to facilitate later averaging). All fitting was done with sixth order chebyshev polynomials, and the background was approximated using a 50 pixel wide region on either side of the spectrum. The Ne and Hg spectra were also extracted using the first spectrum as a reference. The extracted Ne and Hg spectra were then dispersion calibrated by identifying emission peaks with the identify command. The final mercury and neon spectra were combined into a single spectrum (since the emission lines do not overlap) to enhance accuracy. Chebyshev polynomials were then fit to the peaks to determine the dispersion across the CCD; this information was written out to a database by IRAF for later use. The goodness of fit for the various calibration Spectrum Order of Fit RMS of Residuals (Å) Ne-1 4 2.293 Ne-2 6 2.922 Ne-3 4 2.995 Ne-4 4 1.613 Hg+Ne 6 2.776 Table 1: Summary of Spectral Calibration Fits 3

M104 µ-uma Figure 3: Final Extracted Spectra spectra are given in Table 1. The dispcor task was then used to assign wavelengths to pixel numbers of the nine individual spectra based on the mercury and neon calibration references. The spectra were correlated with the calibration reference of closest temporal proximity. The nine individual spectra thus obtained were averaged using scombine to produce an averaged spectrum. This was then smoothed to remove noise producing the final spectrum shown in Figure 3. Additionally, a spectrum of µ-uma (aka Regulus) was taken for reference, also shown in Figure 3. The two spectrum are shown in-line in Figure 4. Data Analysis Spectral lines were identified using spectool. Ideally the maximum number of absorption lines should be identified, but due to the low resolution and relatively high noise, only the three most prominent lines could be identified with a high confidence level, leading to a decrease in the accuracy of the estimate for the redshift. Additionally, the absorption band around 6880Åis an atmospheric O 2 absorption line [3] The difference in these lines is used as a basis for the estimate of the redshift of M104. The redshift z and velocity v of the galaxy were estimated using the relation: z v c = λ λ Spectral Line z v 5900 0.005 1500 km/s 6260 0.0065 1940 km/s average 0.0057 1720 km/s accepted [2] 0.00342 1024 km/s Table 2: Redshifts and Velocities of M104 4

derived from the Doppler shift. The determined values for v and z are given in Table 2. The error of this measurement is estimated from the standard deviation σ of the two values from the average: σ = 220km/s However, the small number of measurements make this estimate more of a minimum error. The actual value for the velocity of M104 is 1024±5km/s [2]. The determined value thus has a 68% error from the accepted value. Finally, the distance to M104 can be estimated from Hubble s Law: v = H 0 D Using lower and upper bounds of H 0 = 50kms 1 /Mpc and H 0 = 100kms 1 /Mpc we estimate the distance to M104 to be between 17.2 and 34.4 Mpc. Conclusions The redshift and velocity of M104 were determined via spectroscopic measurements to be 0.0057 and 1720km/s respectively. These measurements are in 68% error from accepted values. This error, while large, is not unreasonable given the resolution of the spectrum and observing conditions. References [1] Students for the Exploration and Development of Space (SEDS) M104 Dec. 9, 1999 http://www.seds.org/messier/m/m104.html accessed April 29, 2004 [2] NASA/IPAC Extragalactic Database (NED) Messier 104 http://nedwww.ipac.caltech.edu accessed April 29, 2004 [3] Space Science Atmospheric Environment (SSAC) Canadian Space Agency Fact Sheet 5: Absorption Lines in the Solar Spectrum http://www.space.gc.ca accessed April 30, 2004 Figure 4: Combined Spectra 5