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Swinburne Astronomy Online
Project Cover Sheet
Student Name Sarah Pearce Student ID 100 280 899
Current Year 2016 Semester 1 = Feb.-June or 2 = July-Nov.
SAO Unit AST80016
Project ID 073
Project Supervisor Prof. Jeremy Mould
Number of Pages of
main text
10
Total page count 16
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All of the work contained in this Project is my own original work, unless otherwise clearly stated and
referenced.
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Avoid It” at http://astronomy.swin.edu.au/sao/students/plagiarism/
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Signed
Name: Sarah Pearce
The ISM
The Interstellar medium (ISM) is composed of the dust and gas between stars. Composed of
mostly hydrogen (70%) and helium(27%) with small dust grains. Stars are formed in molecular
colder, denser regions of the ISM ( Smith,G., 1999). Dust absorbs light, causing reddening
effects, however spectral lines do not shift and we are able to see through the ISM in the infrared.
Dust grains are of a complex shape, preferentially absorbing shorter wavelengths. At the site of a
newborn star, photoevaporation takes place which is a process within a molecular cloud in the
vicinity of a newborn hot star where the cloud itself is dispersed by the star's radiation ( Smith,G.
1999).
Nebulae- emission nebulae H 11 regions
An H 11 region is a region of interstellar space that possesses atomic hydrogen that is ionized. It
is part of a cloud in which recent star formation has taken place. H 11 regions are often
associated with molecular clouds and appear clumpy and filamentary. H 11 regions may give
birth to thousands of stars over a period of several million years (Flynn,C., 2005). They are the
emission nebulae sites of active star formation. The precursor to an H 11 region is a giant
molecular cloud with cold dense gases, mostly molecular hydrogen. H 11 regions are only found
in spiral and irregular galaxies (Flynn,C., 2005).
.
Figures 1 and 2: Star and protostar formation. Source: URL: http://abyss.uoregon.edu/~js/ast122/lectures/lec13.html
Molecular clouds
Molecular clouds are sometimes called stellar nurseries and are a type of interstellar cloud.
Within molecular clouds are denser regions called clumps, where star formation is taking place.
The formation of stars occurs exclusively within molecular clouds (Schombert, J., 2016). They
have low temperatures and high densities, where gravitational forces act to collapse the cloud
and ignite a star. The internal motions of the clouds are ruled by turbulence in a cold magnetized
gas, often being the home of astronomical masers (Schombert, J., 2016).
Protostars
The inner regions surrounding the envelopes of protostars are characterized by a complex
chemistry, with prebiotic molecules present where protoplanetary disks (proplyds) may form
(Jorgensen et al., 2016). The interplay between ejection and accretion of matter is thought to be
of critical importance in the formation of stars (Louvet, et al., 2016). Gravitational collapse in
spiral compressed gas occurs. Hubble Space Telescope (HST) used their Wide Field Planetary
Camera to discover several externally ionized proplyds (Ricci, et al., 2008). So far a total of over
200 silhouette disks and bright proplyds have been revealed by the HST observations of the
Orion Nebulae. The majority of which have been revealed by narrowband filters centered on the
H a λ 6563 emisssion lines ( Ricci et al., 2008). The protostellar phase ends when infall stops.
Figures 3 and 4: star birth evolution and stages of star evolution within a molecular cloud. Source: https://www.mpi-
hd.mpg.de/sed2011/talkarchive/Bruce_Elmegreen_IAU284.pdf
Pre-main sequence evolution
Pre-main sequence stars (PMS) are in transition between protostars and the main sequence. The
pre-main sequence in the direct continuation of the protostellar phase (Stolte, 2016). PMS stars
are observed in young star clusters and young associations. T Tauri stars are the youngest visible
F, G, K and M spectral type of stars which are less than 2 solar masses. Although their surface
temperatures are similar to main sequence stars of the same mass, their larger radii cause them to
be significantly more luminous. These young stars have a central temperature too low for
hydrogen fusion to take place, rather they are powered by gravitational energy as the stars
contract, on their journey towards the main sequence after about 100 million years (Stolte, 2016).
Pre-main sequence evolution is governed by temperature and density changes which lead to
changes in the dominant opacity contribution with stars alternating between convective and
radiative phases (Stolte, 2016). A star's journey onto the Hertzsprung- Russel diagram depends
on it's stellar mass. Sun like stars develop radiative cores during the Hayashi phase. While more
massive stars develop convective cores during the Henyey phase which is radiatively driven. The
PMS evolution of a star is determined by the Kelvin-Helmholtz timescale. The amount of time
spent on the pre main sequence depends on the mass of the star.
Figures 5 and 6: The Hertzsprung-Russel diagram and the radiative and convective tracks of PMS stars. Source:
https://astro.uni-bonn.de/~astolte/StarFormation/Lecture2012_PMS.pdf
Figure 7: Convective vs radiative phases on the pre main sequence. Source: https://astro.uni-
bonn.de/~astolte/StarFormation/Lecture2012_PMS.pdf
Star formation triggers
Star formation triggers include H a at the edges of shells is known to be triggered or lingering
star formation. Pillars and bright rims form by the push back of interclumped gas (Elmegreen,
2011). The best triggering mechanisms for star formation produce high densities for long
periods and include: kinetic energy in the ISM, rotational energy in the ISM, self-gravity energy
sources, H 11 regions winds and multiple SNe, H11R and winds. Filament collapse is a common
mode of star formation. Triggering is a detail of gas dynamics on smaller scales (Elmegreen,
2011). Triggering processes include: within spiral arms of galaxies, gravitational collapse of
compressed gas with complex shock dynamics. Shells and rings undergoing gravitational
collapse in expanding, accreting geometries with complex shock dynamics. Pillars and bright
rims possess pressurized pieces of gas clouds. Star formation rates depend on the total mass of
cold gas (Elmegreen, 2011).
B) ATLASGAL
ATLASGAL is a survey by APEX, the Atacama Pathfinder experiment telescope, located on the
Chajnantor Plateau in Chile's Atacama region, 5100 meters above sea level. This survey took
advantage of the telecsope's unique attributes to provide a detailed view of the distribution of
cold and dense gas along the plane of the Milky Way galaxy. The new image survey includes
most of the regions of star formation in the southern Milky Way. The survey is the single most
successful APEX programme with over 70 associated science papers already published, now
expanding it's reach even further with reduced data products available to the full astronomical
community. Central to APEX's success are it's sensitive instruments, including the Large
Bolometer Camera (LABOCA) that was used for the ATLASGAL survey. LABOCA measures
incoming radiation by registering the minute rise in temperature it causes on its detectors and can
detect emission from the dark cold dust bands obscuring the stellar light (ATLASGAL, 2016).
The map was constructed from individual APEX observations of radiation with a wavelength of
870 um. This survey provides insights into where the next generation of stars and clusters form.
By using these observations in conjunction with observations from the Planck telescope, further
insights into the large scale structures of giant molecular clouds can be researched. APEX is a
collaboration between the Max Planck Institute for Radioastronomy (MPIfR), the Onsala Space
Observatory (OSO) and the European Southern Observatory to construct and operate a modified
ALMA prototype antenna as a single dish. APEX has a suite of heterodyne spectrometers and
wide-field bolometer cameras operating in the majority of atmospheric windows from 0.2 to 1.4
mm.
HOPS
Hops is a project led by Dr. Andrew Walsh in collaboration with Dr. Steven Longmore and Dr.
Cormac Purcell. HOPS stands for The H2O southern Galactic Plane Survey. Using the MOPRA
spectrometer (MOPS) they were able to cover 16 different frequency bands simultaneously.
Methanol lines that are known masers are indicated in table columns. They observed a total of
100 square degrees over three seasons.
GLIMPSE
GLIMPSE stands for Galactic Legacy Infrared Midplane Survey Extraordinaire. It is the use of
the Spitzer space telescope to survey the inner Milky Way in the infrared. The GLIMPSE survey
spans 130 degrees in longitude and 2-4 degrees in latitude, actually encompassing a large
fraction of the volume of our galaxy. The Spitzer telescope was pointed to 111, 000 different
positions in the sky and took images in four different infrared wavelengths (3.6, 4.5, 5.8 and 8
um), creating a total of 444 000 images. At infrared wavelengths dust particles are less opaque
and the heated dust is able to be imaged, due to both the resolution of the Spizer space telescope
and the sensitivity of it's instruments, this survey has allowed us to see stars and dusty objects for
the first time for most of our galaxy.
MIPSGAL
The MIPSGAL survey is an extensive infrared investigation into the Galactic plane of the Milky
Way using the Spitzer space telescope. This survey uses infrared light to observe clumps of gas
collapsing to form protostars. It also uses the infrared to peer through gas and dust obscuring the
view to the centre of the galaxy. The MIPSGAL survey is designed to in particular identify all of
the massive protostars forming in our galaxy. It was also designed to map all the dust and where
it is distributed on the plane of our galaxy. The MIPSGAL survey encompasses 278 square
degrees of the inner Galactic plane which allows for a dataset focused on answering questions
about the interstellar dust in our galaxy and how the most massive stars are formed. The
majority of stars, gas and dust that make up our galaxy are covered in this survey. One study into
the millimeter-sized grains in the protostellar envelope looks at grain growth during star
formation and how it affects the physical and chemical processes in the evolution of star-forming
clouds (Wong et al., 2016).
HiGAL
HiGAl is the Herchel infrared Galactic Plane Survey and is an Open Time Key Project to map
the inner Milky Way galaxy in five bands between 60 and 600 microns with diffraction limited
spatial resolution. This survey provides a single homogeneous dataset with a census of
temperature, luminosity, mass and spectral energy distributions in star forming regions. It also
maps the same for cold ISM structures in all galactic environments for scales ranging from
massive objects in protoclusters to the full spiral arm. A study of the feedback of atomic jets
from embedded protostars in NGC 1333 uses Herchel data to uncover key understanding
regarding star-formation, in particular the star formation feedback onto the parent cloud
(Dionatos and Gudel, 2016). Another study using HiGal data is regarding the segregation of
starless and protostellar clumps in a particular region of the sky. Providing images of the
filamentary structure of the parent molecular clouds on large scales which allows for the the
study of the physical connection between the clumps/cores and the filaments (Olmi et al., 2016).
PILS
The ALMA Protostellar Interferometric Line Survey is a survey of the inner regions of the
envelopes surrounding young protostars (Jorgensen et al., 2016). They are characterized by a
complex chemistry, with prebiotic molecules present on the scales where protoplanetary disks
may eventually form (Jorgensen et al., 2016). ALMA provides an unprecedented view of these
regions zooming in to solar system scales to provide images of nearby protostars while mapping
the emission from rare species (Jorgensen et al., 2016). Another study using ALMA's data looks
at the interplay between the accretion and ejection of matter which is thought to be a critical
element in the formation of stars (Louvet, et al. 2016). However, the exact link between jets and
accretion disks is still a critical issue in contemporary astrophysics (Louvet, et al., 2016).
Further, ALMA data is used to study the morphology and kinematics of the gas envelopes of
protostars, and to establish the conditions for in-falling cool gas onto rotating disks surrounding
protostars, learning that different molecules populate different radial regions (Tuan-Anh, et al.,
2016) . Even further studies reveal the dynamics of Class 0 protostellar disks using ALMA data.
A class 0 protostellar disk is the earliest, embedded stage of protostellar evolution, hinting
towards these disks from the onset of protostellar formation (Seifried, et al., 2016). ALMA data
has also been used to detect a hot molecular core in the Large Magellanic Cloud, by pointing
towards a high-mass yound stellar object in a nearby low metallicity galaxy (Shimonishi et al.,
2016)
C) telescopes and detectors: focus on the imaging tools of star formation regions, young stellar
objects and protostars
Optical telescopes
HST
The Hubble Space Telescope's new Wide Field Camera 3 (WFC3) was designed to make
infrared observations. The HST can image in the visible then also image in the infrared once they
have detected a star birth region. In the Orion Nebula, is a region of star formation here in the
Milky Way. Hubble was able to reveal and image over 200 proplyds (Ricci et al, 2008), which
are disks of dust around newly born stars and the location of where planets are thought to form.
When the HST images in infrared, the dust fades leaving only the location of where the star birth
activity is taking place. The instrument has two channels, one for UV and visible light and the
other for near infrared (NIR). In both cases the devices are solid state CCDs. The combination of
these two devices allows for wider performance over a broader range of wavelengths. This
allows astronomers to locate the actual sites of star formation.
Infrared telescopes
The Spitzer space telescope operates in the infrared region of the spectrum. It exposes regions of
star birth in nebulas otherwise obscured by dust. Strings of stars that have yet to burn their way
through their gas shells can be pinpointed using the Spitzer telescope. The GLIMPSE survey
was undertaken using the Spitzer space telescope and it imaged the majority of our galaxy. It was
able to uncover numerous regions of star birth and peer through the dust allowing for the process
of star birth to be better understood. The telescope has wavelength coverage from 3-180 microns,
spectroscopy from 5-40 microns and spectrophotometry from 50-100 microns. This telescope is
in an Earth - trailing, Heliocentric orbit with an 85 cm diameter. This telescope has been used to
study young stellar objects, in particular in Canis Major. Spitzer data can be used to identify new
stellar objects (YSOs) over the entire sky (Fisher et al., 2016) Newly identified YSOs may
refine the initial stellar mass function, allowing for a better characterization of star and planet
formation in regions with low initial gas densities and identify sites nearby for high resolution
imaging and spectroscopy follow up (Fisher at al., 2016).
Ground based radio astronomy telescopes
ALMA
The Atacama Large Millimeter/Submillimeter Array (ALMA) is an international collaboration
between the European Southern Observatory (ESO), the National Institutes of Natural Sciences
(NINS) of Japan, the US National Science Foundation and NRC (Canada) with NSC and ASIAA
(Taiwan) and KASI (Republic of Korea) in cooperation with the Republic of Chile. It is
composed of 66 high precision antennas located on the Chajnantor plateau, 5000 meters altitude
in Chile and is the largest astronomical project in existence. ALMA works on the notion of
interferometry, where signals captured are combined and thus obtain information about their
source such as a star, planet or galaxy (Hales et al., 2016). With the combination of signals for
several antennas it is possible to construct images. The images ALMA produces are as good as
one hypothetical telescope 14 000 meters in diameter (Hales et al., 2016). Hence the combination
of several (66) antennas to construct one giant telescope. To operate properly all of ALMA's 66
antennas and electronics need to be acting in synchronicity, with the precision of one millionth of
a millionth of a second (Hales et al., 2016). Further, the signals from all of the different antennas
must be combined in a way such that the paths of the signals must be known to an accuracy of
hundredths of a millimeter before they are finally combined by the central computer known as
the correlator. Further complicating things are the noise contributions to the signal such as the
atmosphere which must later be corrected for. ALMA has seven weather stations, with specially
built water vapor radiometers, to correctly characterize the contributions of the atmosphere to the
signal noise (Hales et al., 2016). Radio waves undergo a chain of channeling, reception,
conversion, transmission, combination and analysis after having travelled through space for
millions of years. Antennas: function to capture and concentrate the radio waves proceeding
from the astronomical source at the point known as the focus (Hales et al., 2016). The way
ALMA's antennas then send the light concentrated at the focus to a subreflector, by reflecting the
light which is a point behind the parabolic surface, where there is a receiver designed to capture
the signal concentrated by the antenna (Hales et al., 2016). In order to capture the largest amount
of radio waves, in order to optimize the signal received, ALMA's antennas must aim with unique
precision. This is achieved by ensuring that the antennas must not deviate from a perfect
parabola by more than 20 microns on average (Hales et al., 2016). The front end is the name
given to the beginning of the detection, amplification, conversion and digitization of the signal
picked up by each antenna. The most critical components of the front end are kept at a
temperature of - 269 degree Celsius to reduce noise (Hales et al., 2016). The front end
technologies have been developed in laboratories in Japan, France, the Netherlands, the UK,
Canada and the USA. Firstly the signal from the subreflector is tunneled through a series of
small mirrors and waveguides to the cold components where the detectors reside (Hales et al.,
2016). The signal is then mixed with a reference signal designed to lower it's frequency. This
lower frequency signal is more easily amplified and processed by the transmission and
digitization system called the back end that will send the data to the correlator over as much as
15 km of fiber optic cable (Hales et al., 2016). ALMA is used in 10 frequency bands, whereby
there are 10 cartridges per antenna, one per band. The back end acts as the nervous system of
ALMA, transmitting the signal received at each of the receivers in each antenna to the central
computer called the correlator. First, the signal from the front end is again converted to an even
lower frequency, between 7.5 to 15 cm, then a digitization system processes the signal and
transmits it underground via fiber optic to the central building (Hales et al., 2016). In addition to
transmitting the signal to the correlator the back end acts as overall orchestra conductor, sending
out a reference bar to ensure that all ALMA components: the antenna movements, electronics
and hydrogen atomic clocks located in the central building, are in unison by the back end that
generates a reference pulse it sends out to all the components (Hales et al., 2016). Further, the
back end also sends out a round-trip laser signal to all the antennas to ensure the length of the
fiber optic cables which can expand and contract due to temperature variations at the site. Any
changes to the length of the fibres are compensated with real-time stretching or contracting of the
fiber. This is called the Line Length Correction system and it ensures the stability of the signal
path length to approximately one micron (Hales et al., 2016). The correlator is ALMA's brain, a
supercomputer custom designed for taking the signals form ALMA's antennas and combining
them in order to generate astronomical datasets for later analysis. The correlator multiplies the
signals from the multiple antennas and saves the data as files called Visibilities, which contain all
the information required to form a 2-D image and the spectral information of the region of the
sky observed (Hales et al., 2016). The processing of the data to become a Visibilities file
requires a number of calibration and data reduction stages for which a specialized data reduction
program has been created. Computing IPT (CIPT) is in charge of all of ALMA's information
processing, handling all the software required to control the antennas, instrumentation and data
filling(Hales et al., 2016). Further, CIPT is in charge of providing all the software for the
scientific community to use for preparing observations, as well as a specialized software for data
processing and reduction known as Common Astronomy Software Application (CASA) (Hales
et al., 2016). Science IPT is ALMA's team for performing the scientific verification of the data
obtained. It ensures the scientific validity of the datasets, by carrying out all the calibrations and
verifications to check that all items of equipment are operating according to the ALMA technical
and scientific requirements (Hales et al., 2016).
Researchers use ALMA data in conjunction with Herschel and Caltech submillimeter
Observatory (CSO) to study star formation and feedback, molecular outflows and how they
interact with prestellar cores. Low mass star formation is known to occur exclusively in the
shielded interiors of molecular cloud cores, when gravity fights for control from supporting
thermal, magnetic and turbulent pressures, collapse ensuing (Lis et al., 2016). Significant effort
has been placed on understanding the subsequent stages of star formation, when a central object
and surrounding circumstellar disk are formed and evolve towards a new star and potentially an
associated planetary system (Lis et al., 2016). However, initiation of this process is among the
least understood steps of star formation. However, it is key to understand and refine fundamental
aspects such as the initial mass function, the binarity fraction and it's dependence on both stellar
mass and the star formation efficiency (Lis et al., 2016).
Figure 8 : Protoplanetary disk around a newborn star by ALMA. Source:
https://en.wikipedia.org/wiki/Atacama_Large_Millimeter_Array.
This was a key finding for ALMA's contribution to the research of stellar birth because nobody
expected protoplanet formation around such a young star, whereby new theories emerged about
the formation of protoplanets around 100 000 - 1 000 000 year old systems. ALMA imaging
instruments function in all atmospheric windows between 350 um and 10 mm. This makes it
possible for ALMA to directly observe star birth regions. This image of a protoplanetary disk
was observed surrounding a very young T Tauri star and shown to the public in 2014.
Much of the insight into structure of starless cloud cores comes from observations of the
millimeter dust emission. Researchers have shown that cores form preferentially along dense
filaments (Lis et al., 2016). High angular resolution interferometric continuum studies give
insights into multiple systems.
Spectroscopy
Spectroscopy is the dispersion of an object's light into its component colours or energies. By
performing this analysis and dissection of an object's light astronomers can infer the physical
properties of that object, such as temperature, mass, luminosity and composition (Kulesa, C.,
1997). There are two distinctive classes of spectra, continuous and discrete. For continuous
spectra, the light is composed of a wide range of colours. With discrete spectra, a researcher sees
only bright or dark lines at very distinct and sharply defined colours. Discrete spectra with bright
lines are called emission spectra and those with dark lines are called absorption spectra.
Continuous spectra arise from dense gases or solid objects which radiate away their heat through
the production of light. Stars emit in a predominantly continuous spectrum. Discrete spectra are
the observable results of the physics of atoms (Kulesa, C., 1997). Emission line spectra are
concerned with the electron clouds surrounding the nuclei of atoms and can only have a very
specific energy dictated by quantum mechanics. Each element on the periodic table has its own
set of possible energy levels, which are distinct and identifiable. Atoms will tend to settle at the
lowest energy state, called the ground state. This mean an excited atom must dump some of it's
energy by way of emitting a wave of light at that exact energy. This energy dump corresponds to
a specific colour or wavelength and thus researchers see a bright line at that exact wavelength,
otherwise known as an emission spectrum (Kulesa, C., 1997). Tiny changes of energy in an atom
generate photons with small energies and long wavelengths, such as radio waves. Further, large
changes in energy in an atom will mean that high energy, shorter wavelength photons, such as
UV, x-ray or gamma rays are emitted. Absorption line spectra is the opposite process, with
atoms absorbing specific energetic photons that have become excited, jumping from the ground
state to a higher energy level. If a star with a continuous spectrum is shining upon an atom, the
wavelength corresponding to possible energy transition within that atom will be absorbed and
therefore a researcher will not see them, in this way - dark -line absorption spectrum is created
(Kulesa, C., 1997).
A spectrometer works when a telescope light beam enters the spectrometer. The focal point of
the telescope beam is brought to the slit of the spectrometer, with the slit being what is ultimately
imaged on the detector. The light passing through the slit is then reflected off a collimating
mirror, which parallelizes the beam of light before sending it off to the diffraction grating. This
optical element disperses the parallel beams of light into their component colours or wavelengths
(Kulesa, C., 1997). This creates an image of the slit that is spread out like a rainbow by colour.
The new colour dispersed bean of light is then focused and imaged on the detector by the camera
lens or a CCD array.
Figure 9: Spectra from two galaxies with star birth regions. Source:
http://loke.as.arizona.edu/~ckulesa/camp/spectroscopy_examples.html
Starburst galaxies are best studied in the infrared and radio regions of the spectrum, since star
forming galaxies often contain so much dust and gas visible light can't penetrate to the cores
where star formation activity is taking place (Kulesa, C., 1997). Above is an infrared spectrum of
two different star birth galaxies, imaged at 2.0 - 2.5 microns. Most of the features in the spectra
are from molecular hydrogen, H2, the stuff stars are made from. These molecular hydrogen
emission lines tell us that the molecular gas in the first galaxy is very hot in the top of the galaxy,
and is excited by shock heated gas. The bottom galaxy spectra is telling us it has molecular
hydrogen excited by UV light emitted from recently formed young, hot stars (Kulesa, C., 1997).
D) How have these surveys changed our understanding of star formation.
Each of these surveys has its own merits and shortcomings. Each survey was undertaken to
provide the astronomical research community with a wealth of data, mostly regarding our
galaxy, the Milky Way. By far the largest contribution to understanding star formation has come
from the ALMA instruments. Observing star formation is best accomplished by investigating the
infrared and radio wavelengths, whereby the GLIMPSE survey and the ATLASGAL surveys are
very useful for astronomers investigating star formation. The ALMA datasets provide for the
highest resolution information for astronomers to work with. They are able to penetrate the dust
and gas, while providing spectra for researchers to investigate at the cores of molecular clouds
where star formation is taking place. Current limitations to determining the physical processes
involved in star formation include: what triggers the cloud collapse, what the role of magnetic
fields are and what explains the masses of the new born stars. These surveys are able to probe
these questions while none of them answers all the questions fully. Our entire Milky Way
composed of approximately 100 billion stars appears to be evolving steadily, forming new stars
at a rate of approximately three solar masses per year (Dunlop, J., 2011). However, much
evidence exists to suggest that there was once a dark ages period in stellar formation, following
the big bang, when gas needed to cool to allow for the first molecular clouds to form. Observing
regions of star formation involves dissecting their spectra into stellar populations of measurable
mass, age and chemical compositions (Dunlop, J., 2011). However the further back in time a
researcher looks the less information they have to work with. We know that stars and galaxies
existed at redshifts of z = approximately 8.5, extending our cosmic star formation history to
within 500 million years of the big bang (Dunlop, J., 2011). These first galaxies and stars contain
very young stellar populations with stars of very low metallicity. Researchers are interested in
these first stellar birth regions as they help to further the field of our universe's cosmic star
formation history.
References:
Dionatos, O., & Güdel, M. (2016). The feedback of atomic jets from embedded protostars in
NGC 1333. arXiv preprint arXiv:1608.06131.
Dunlop, J. S. (2011). The Cosmic History of Star Formation. Science, 333(6039), 178-181.
Fischer, W. J., Padgett, D. L., Stapelfeldt, K. L., & Sewilo, M. (2016). A WISE Census of Young
Stellar Objects in Canis Major. arXiv preprint arXiv:1606.01896.
Flynn,Chris., 2005, Lecture 4B: Radiation case studies (HII regions)., Accesses November 5th,
2016.
Jørgensen, J. K., van der Wiel, M. H. D., Coutens, A., Lykke, J. M., Müller, H. S. P., van
Dishoeck, E. F., ... & Favre, C. (2016). The ALMA Protostellar Interferometric Line Survey
(PILS): First results from an unbiased submillimeter wavelength line survey of the Class 0
protostellar binary IRAS 16293-2422 with ALMA. arXiv preprint arXiv:1607.08733.
Kirk, H., Di Francesco, J., Johnstone, D., Duarte-Cabral, A., Sadavoy, S., Hatchell, J., ... &
Currie, M. J. (2016). The JCMT Gould Belt survey: a first look at dense cores in Orion B. The
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(2016). Phosphorus-bearing molecules in solar-type star forming regions: First PO
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Lis, D. C., Wootten, H. A., Gerin, M., Pagani, L., Roueff, E., van der Tak, F. F., ... & Walmsley,
C. M. (2016). Star Formation and Feedback: A Molecular Outflow-Prestellar Core Interaction in
L1689N. arXiv preprint arXiv:1605.01239.
Louvet, F., Dougados, C., Cabrit, S., Hales, A., Pinte, C., Menard, F., ... & Gueth, F. (2016).
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disk and optical jet. arXiv preprint arXiv:1607.08645.
Olmi, L., Cunningham, M., Elia, D., & Jones, P. (2016). The segregation of starless and
protostellar clumps in the Hi-GAL l= 224deg region. arXiv preprint arXiv:1608.05262.
Seifried, D., Sánchez-Monge, Á., Walch, S., & Banerjee, R. (2016). Revealing the dynamics of
Class 0 protostellar discs with ALMA. Monthly Notices of the Royal Astronomical
Society, 459(2), 1892-1906.
Shimonishi, T., Onaka, T., Kawamura, A., & Aikawa, Y. (2016). Detection of a hot molecular
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