Astronomical Ballooning
A Guide to Analyzing Astronomical Data

Written by Sten Odenwald

Copyright (C) 1985 Kalmbach Publishing. Reprinted by permission

 

This web page is located at the Astronomy Cafe

http://www.astronomycafe.net

Astronomy Cafe


In an earlier issue of this magazine ( Astronomical Ballooning) I described some of the 'behind-the-sceens' activities that take place during the launch of a balloon-borne, infrared telescope. In this issue, we are going to have a look at how the data we get from such a flight is analyzed.

There are basically two questions that have to be answered with the data; "Where is the far-infrared emission coming from?" and "How bright was it in the direction we were looking?". As I mentioned in the last article, a typical flight produces as much information as a full set of the Encyclopedia Britanica, but the information is stored in long strings of 1s and 0s; the basic alphabet of the computer language. To translate the computer 'words' into recognizable maps of an infrared source, a carefully thought-out series of steps have to be followed, culminating in maps of each object in the survey. These maps form the backbone of whatever theory we wish to propose to explain what we are seeing. For example, by knowing that most of the infrared emission comes from regions near the edge of a dense molecular cloud, we might be able to say something about where luminous stars are born in these interstellar clouds; "Do they favor the surfaces of these enormous, interstellar clouds or their deep interiors where the density of gas is highest?"

WHERE DID WE LOOK?

The 30 feet of flight film taken by a 35mm camera bolted to the side of the telescope, tells us where our detectors, our infrared 'eyes', were looking during the entire, 10-hour flight. As the telescope is made to sweep across a particular part of the sky, bright stars travel across the field of the camera lens and leave behind trailed images on the film. A rotating shutter segments these trails by exposing the film in a precise sequence throughout the entire 32 second exposure. Since the start of the exposure is known very accuratly, we can measure 15 points along each of the trails and determine where the telescope was pointing at specific times during each scan. From this information, we produce a list of star positions at each of the 15 measurement times. The star positions are expressed in terms of the internal coordinates used by the measuring instrument. To translate these positions into the familiar RA and DEC that astronomers prefer to use, we have to find the RAs and Decs of each of the measured stars, using a star catalogue. These reference star positions, together with the measurements of the star trails, are then processed by a VAX 11/780 computer to find the actual RA and Dec of the center of the camera field at 7 instants during a scan.

Generally speaking, the optical axis of the camera is not the same as either the telescope or the detector optical axes. To find out where each detector was pointing, we usually select a bright planet such as Mars or Jupiter whose trail we can measure on the film and which is also a strong far-infrared source. We then find out when each detector showed the highest, far-infrared signal. What this means is that the planet crossed through the center of the detector's field-of-view. Once the 'peak signal' time is known, we can use this along with the planet's trailed image on the film, to figure out where each dete ctor was looking relative to the center of the cameras field-of-view.

The last step is to take this pointing information and find a mathematical equation to represent this 'aspect' data in a more compact way. This also lets us interpolate to find positions for times other than the 7 instants for which the aspect results were derived originally. An example of a typical scan reduced in this way looks like this

RA(1950.0) = 6.268 + .00197 t -.00000084 t

Dec(1950.0)= 173.83 - .11600 t +.0000186 t

where t is the time, in seconds, since the start of the hour. All of the 32 scans that make up a single, 32-line raster are analyzed in this way. Once we have found-out where our detectors were pointing in the sky at a given time, we can then go on to the next stage in the analysis.

WHAT DID WE SEE?

Even at an altitude of 18 miles, the atmosphere of the earth is still not completely transparent to far-infrared radiation. To far-infrared eyes, the rarefied atmosphere at 95,000' produces a haze, against which it is possible to see only a handful of the brightest sources in the sky. The telescope mirror itself is also a warm surface with a temperature of about 77 K which contributes its own undesireable 'background' emission to that of the weak emissions from extraterrestrial sources. To get around these problems, astronomers have come up with an ingeneous solution; What we do instead of letting the telescope stare at one part of the sky, straining to detect weak signals, is to first measure the infrared brightness at the 'source' position and then tilt the secondary mirror on the telescope slightly and make a measurement of an adjacent part of the sky. By subtracting the 'sky' measurement from the 'source' measurement the remainder will be the weak signal produced by the source itself without the sky background. By 'chopping' in this way, 16 times a second, we can actually detect sources that are thousands of times fainter than the sky brightness. Unfortunatly, a small but annoying price has to be paid for this advantage. Because we are subtracting the far-infrared emission from two nearby points in the sky, it is virtually impossible to study weak sources that are much larger than the separation between the source and background positions we measured. Since the surface brightness of such extended sources can be very uniform, they contribute almost equally to the radiation measured in the source and reference positions. As a result, extended sources often get 'subtracted' out of the data. Astronomers must always be mindful of this possibility when analyzing their data since it could give us a false estimate of a sources size and total luminosity.

The secondary mirror on the cassegrain telescope is oscillated back and forth by electromagnets to let the radiation from the reference and source positions enter the detectors field-of-view. The voltage that we measure from each detector after amplification, by 90,000 times, is then a modulated, 16 cycle per second 'square-wave' representing alternatly the intensity of the source and background positions. These voltages are digitized and then telemetered from the balloon platform to the ground station where they are recorded on the flight magnetic tapes in terms of '10-bit' computer words. This allows the detector voltages to be broken down into 1024 brightness levels. Back at the Lab, a computer reads each data tape, subtracts the source and background measurements, and averages them over 1/8 second intervals throughout the flight. Once the sections of the data corresponding to our object of study have been identified, this averaged data will be processed a third time. At this time, the aspect information, giving the detectors RA and Dec in time, will be combined with the averaged detector voltage at each instant, to give us the intensity of the source at each point that was covered during the mapping operation. From this, contour maps can then be drawn, showing levels of constant brightness.

"Where's the Flux?" or "When does 735 = .0000000012 Watts/meter2?"

By combining the detector output and aspect data, a progam instructs the computer to plot the detector voltage at each point in the sky covered by the survey. A set of contours are then drawn by hand on this map, showing regions that have the same brightness level. This brings us nearly to the end of the map making process. What we will publish in the scientific paper on this object will be the contour plot itself and not the individual measurements made by each detector. This makes the maps more readable and less expensive to publish. To complete the mapmaking process we have to translate the brightness levels from the internal language of the computers 1024 voltage level steps to an actual number representing the amount of radiation that fell on the telescope itself; a quantity called the flux, usually expressed as a certain number of watts of power falling on each square meter of the mirrors surface. This is the calibration process.

To calibrate our intensity measurements, a bright object is selected whose spectrum is accuratly known. During a recent flight we use the planet Mars. A mathematical model of how the planets surface responds to being heated by the suns incoming radiation, tells us that the surface temperature of Mars, at the time it was observed, was 241 K. This value changes slightly as the planets distance from the earth and the sun varies. To calculate how bright the planet was, as viewed by the detector, we need to know one last important detail; the response curve of the detector. This curve tells how efficient the detector is at sensing radiation at various wavelengths. As an example, the optical detector called the human eye can only sense radiation with wavelengths between 4000 and 7000 A. Its peak efficiency occurs at 5700 A where most of the sun's radiation appears. A similar response curve can be measured for our detector under laboratory conditions. A computer is then used to calculate how bright a 241 K blackbody will appear to our detectors that only see the part of the spectrum defined by the limits of the response curve. The calibration program also tells us how much of the total radiation produced by a source, will be missed by confining our attention to only a narrow part of the spectrum. For Mars, our far-infrared detectors that see only the radiation between wavelengths of 40 to 250 micrometers, will only detect 1% of the radiation emitted by Mars. From a careful study of the data, we discover that a voltage level of 735 at the medium gain setting corresponded to a flux of .0000000012 Watts/meter2. This number can then be used, with slight modifications, to set the scale for all other sources we observe. Incidently, at the highest gain setting, our instrument together with the 1-meter telescope, can just detect a flux of 2 x 10^-12 watts/meter2; this is about how much warmth you would receive if you were standing 60 miles away from a 100 Watt bulb.

HOW LONG DOES IT TAKE?"

From start to finish, the entire data analysis process takes several months and occasionally can take the better part of a year if other research has to be conducted at the same time. Astronomers rarely have the luxury to work on a single research project full time, but often divide their time among several other projects in various stages of completion. Many astronomical papers got their start while the astronomer was flying on a commercial jet between observatories! A schedule might look like this one week:

Monday..... Work on the balloon data from the flight last April.

Tuesday..... Work on the Astrophysical Journal article on IC-443 based on observations I made at the VLA last January.

Wednesday..... Work on the VLA maps of the Galactic Center far-infrared sources that I observed last April.

Thursday..... Work on the radio source survey to finish the first draft of a paper.

Friday..... Analyze the carbon monoxide observations of NGC-4088 and 3556 made last March.

and then change the following week as you find yourself 'hot on the trail' of some new discovery suggested to you by your data. In addition, many weeks of time can be taken-up during the year, carrying-out new observations at the VLA or Kitt Peak; or even to plan next years flight of the far-infrared telescope. Astronomers almost always have a backlog of 'old' data, waiting to be analyzed and written up for publication. There is, however, a tremendous sense of excitement in waking-up on Monday morning to work on data having to do with star forming regions in our galaxy, and on some other day, to wrestle with understanding what is going on inside the nucleus of a galaxy millions of light years away!