Students

ASTR3010 – Astrophysics of Radiation and Stars

2026 – Session 1, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Convener
Richard de Grijs
Contact via 9850 8317
12WW 521
Co-convener
Gayandhi De Silva
Computing lab supervisor
Orsola De Marco
Observing lab supervisor
Angel Rafael Lopez Sanchez
Spectroscopy lab supervisor
Christian Schwab
Observing coordinator
Daniel Zucker
Credit points Credit points
10
Prerequisites Prerequisites
ASTR2020 and PHYS2020 and (MATH2020 or MATH2110)
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

The first part of this unit covers the physical mechanisms responsible for the generation, absorption and scattering of light in environments as diverse as rarefied nebulae, hot compact stellar atmospheres and distant galaxies. During the second part of the unit the theory of stellar structure and evolution is developed. Students become familiar with spectroscopic observations and the python programming language, and carry out a project using computer models of how stars live and die.

Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Quality Education; Industry, Innovation and Infrastructure

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: discuss principles and difficulties of observational methods that allow us to interpret the physical characteristics of an astronomical object based on the light we receive from it. 
  • ULO2: demonstrate knowledge of the way radiation interacts with matter in different astrophysical environments through solving radiative transfer problems. 
  • ULO3: describe the internal structure of our Sun and stars other than the Sun, and explain the key observational properties of different types of stars. 
  • ULO4: apply the equations of stellar structure and the simplifications that lead to polytropic stellar models. 
  • ULO5: explain the processes and physics involved in stellar evolution, including the processes that bring about stellar death. 
  • ULO6: apply computational techniques to model physical phenomena in different astrophysical environments using the Unix environment and elements of the python computing language. 
  • ULO7: design, conduct, analyse and report on observational experiments related to measuring the radiation from stars, galaxies and other astronomical objects in order to determine their properties.

General Assessment Information

Laboratory portfolio: During the first half of the unit, students will observe a number of targets using the Macquarie University Observatory. They will also analyse their observational data (in case of bad weather, data will be provided). A small component of this observational task, the construction of a working spectroscope, will be conducted in the laboratory during teh first few weeks of the teaching period. The students will have to carry out some tasks related to constructing an astronomical spectrograph. A report of this activity will be due after the semester break. After the mid-session break, students will undertake a computational project based on calculating and analysing the structure and evolution of a given star. The combined spectroscopic/observational and computational project report will be due one week after the last PC Lab class.

Skills-based problem-solving assessment: Students will have the opportunity to engage in formatively assessed (not graded) problem sets throughout the unit. A formal assessment representative of problems pertaining to the first half of the unit's taught material will be conducted after the mid-session break.

A standard, 2-hour, written exam (plus 10 min reading time) will be given in the university examination period.

Late Submission Policy

  • 5% penalty per day: If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days.

    • Example 1 (out of 100): If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.

    • Example 2 (out of 30): If you score 27/30 but submit 1 day late, you will lose 1.5 marks and receive 25.5/30.

  • After 7 days: Submissions more than 7 days late will receive a mark of 0.

  • Extensions:

    • Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.

    • Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration.

Need help? Review the Special Consideration page HERE

In this unit, late submissions will accepted as follows: 

  • Observational Analysis Task (incl. Spectroscope construction) – YES, Standard Late Penalty applies 

  • Computational Project – YES, Standard Late Penalty applies 

Note on AI use: As students will finalise their observing/computational portfolios outside the classroom, they can use AI if so desired but this will likely only affect the writing of their final reports. Tasks must be completed in person, either at the MQ Observatory or in the computer lab (under supervision), where AI use is unlikely to be feasible. Although AI can be used to complete the formative skills-based problem sets offered throughout the semester, this will not help students learn; the observed summative skills-based problem-solving assessment after the mid-session break will be done in class and AI use is not allowed. (Neither will it be allowed during the final exam.)

Computational Project

Assessment Type 1: Project Indicative Time on Task 2: 10 hours Due: Monday Week 11 (18 May 2026). Weighting: 20% (combined with the observational analysis task).

Project involving computer programming, astrophysical interpretation, report and presentation

On successful completion you will be able to:

  • apply computational techniques to model physical phenomena in different astrophysical environments using the Unix environment and elements of the python computing language. 

Failure of this hurdle assessment will require the student to retake the unit when it is next offered. Alternatively, opportunities may be offered to amend aspects of this task in order to pass the hurdle.

Observational Analysis Task

Assessment Type 1: Lab report Indicative Time on Task 2: 10 hours Due: Monday Week 8 (27 April 2026). Weighting: 20% (combined with the computational project).

A report on the outcomes of collection and analysis of observational data.

On successful completion you will be able to:

  • apply computational techniques to model physical phenomena in different astrophysical environments using the Unix environment and elements of the python computing language. 
  • design, conduct, analyse and report on observational experiments related to measuring the radiation from stars, galaxies and other astronomical objects in order to determine their properties.

Skills-based problem-solving assessment

Assessment Type 1: Problem sets. Indicative Time on Task 2: 18 hours Due: formal assessment in Week 7 (20 April 2026). Weighting: 30%

A series of assignments throughout the session, culminating in a formal assessment in Week 7.

On successful completion you will be able to:

  • discuss principles and difficulties of observational methods that allow us to interpret the physical characteristics of an astronomical object based on the light we receive from it. 
  • demonstrate knowledge of the way radiation interacts with matter in different astrophysical environments through solving radiative transfer problems. 
  • describe the internal structure of our Sun and stars other than the Sun, and explain the key observational properties of different types of stars. 
  • apply the equations of stellar structure and the simplifications that lead to polytropic stellar models. 
  • explain the processes and physics involved in stellar evolution, including the processes that bring about stellar death. 

Final examination

Assessment Type 1: Examination Indicative Time on Task 2: 20 hours Due: As per MQ Examination timetable. Weighting: 30%  Given that the examination will assess a student's understanding of the entire subject matter covered in this unit (that is, covering learning objectives 1 through 5), this is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks).

Examination during the exam period covering all content from the unit.

On successful completion you will be able to:

  • discuss principles and difficulties of observational methods that allow us to interpret the physical characteristics of an astronomical object based on the light we receive from it. 
  • demonstrate knowledge of the way radiation interacts with matter in different astrophysical environments through solving radiative transfer problems. 
  • describe the internal structure of our Sun and stars other than the Sun, and explain the key observational properties of different types of stars. 
  • apply the equations of stellar structure and the simplifications that lead to polytropic stellar models. 
  • explain the processes and physics involved in stellar evolution, including the processes that bring about stellar death. 

Students who fail the final examination or have valid reasons for non-attendance will be offered the option to take a supplementary examination during the supplementary examination period.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI assisted?
Laboratory portfolio 40% No 18/05/2026 Individual Yes Open
Final examination 30% No Exam Period Individual No Observed
Skills-based assessment 30% No 20/04/2026 Individual No Observed

Laboratory portfolio

Assessment Type 1: Portfolio
Indicative Time on Task 2: 10 hours
Due: 18/05/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI assisted?: Open

This assessment reflects professional astrophysical practice, where computational modelling and observational analysis are used to study and interpret astronomical phenomena. You will compile a collection of documents from the practical laboratory component, including computer-based modelling tasks and analyses and interpretation of astronomical observations. 


On successful completion you will be able to:
  • apply computational techniques to model physical phenomena in different astrophysical environments using the Unix environment and elements of the python computing language. 
  • design, conduct, analyse and report on observational experiments related to measuring the radiation from stars, galaxies and other astronomical objects in order to determine their properties.

Final examination

Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: Exam Period
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Observed

The purpose of the Final Exam is for you to formally demonstrate the expertise you have gained in this unit. The exam may include any topic covered in the unit. It will be held during the University Final Examination period.


On successful completion you will be able to:
  • discuss principles and difficulties of observational methods that allow us to interpret the physical characteristics of an astronomical object based on the light we receive from it. 
  • demonstrate knowledge of the way radiation interacts with matter in different astrophysical environments through solving radiative transfer problems. 
  • describe the internal structure of our Sun and stars other than the Sun, and explain the key observational properties of different types of stars. 
  • apply the equations of stellar structure and the simplifications that lead to polytropic stellar models. 
  • explain the processes and physics involved in stellar evolution, including the processes that bring about stellar death. 

Skills-based assessment

Assessment Type 1: Problem-based task
Indicative Time on Task 2: 18 hours
Due: 20/04/2026
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Observed

This assessment reflects disciplinary problem-solving practices in astrophysics, where theoretical models and observational reasoning are used to interpret stellar phenomena. You will engage in a problem-solving task in an SGTA that requires you to analyse radiative transfer, stellar structure, and observational scenarios using quantitative and conceptual approaches. Through this task, you will develop understanding of observational methods, radiation-matter interactions, stellar structure and evolution, and the modelling assumptions underpinning stellar physics.


On successful completion you will be able to:
  • discuss principles and difficulties of observational methods that allow us to interpret the physical characteristics of an astronomical object based on the light we receive from it. 
  • demonstrate knowledge of the way radiation interacts with matter in different astrophysical environments through solving radiative transfer problems. 
  • describe the internal structure of our Sun and stars other than the Sun, and explain the key observational properties of different types of stars. 
  • apply the equations of stellar structure and the simplifications that lead to polytropic stellar models. 
  • explain the processes and physics involved in stellar evolution, including the processes that bring about stellar death. 

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.

3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.

Delivery and Resources

Two hours per week lectures will be live/in-person and recorded on Echo360. Lectures will start in Week 1.

One hour per week SGTA will be class-based problems done in groups and alone. SGTAs will start in Week 1.

Weeks 1–2: Spectroscopy labs (3 hours per week, 2 weeks as scheduled). These sessions are separate from the observing lab sessions.

Weeks 1–6: Observing lab sessions (3 hours per week) plus observing sessions at the University's astronomical observatory (scheduled in consultation with your observing lab supervisor)

Weeks 7–12: Computer labs (3 hours per week). Some lab preparation in your own time needed.

Individual teaching staff will advise the student cohort how they can best be reached and how they plan to communicate with the student cohort in relation to their own teaching component(s). Staff emails are available on the unit's iLearn page (which contains a section titled "Unit information and communication") and iLearn discussion forum are one of the options students and staff have for their communication needs.

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Academic Success

Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Changes from Previous Offering

Unit content: No changes

Staff assignments: No changes

Assessments: Under new University policies, the number of formal assessments has been reduced from four to three.

University policies on late submissions and AI use have been updated and implemented.


Unit information based on version 2026.03 of the Handbook