1. Electromagnetic waves, including radio waves, infrared, visible light, ultraviolet, X-rays and gamma rays, are used to observe astrophysical objects and obtain information.
2. Blackbody radiation depends on an object's temperature - the hotter the object, the shorter the peak wavelength of its blackbody spectrum.
3. The Doppler effect causes the wavelengths of radiation to appear shorter if the source is moving towards the observer, or longer if moving away, due to the motion of the radiation source.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
3. Information from skies
This is a picture of Andromeda galaxy.
For human, galaxies on the sky is seen with naked eye a as faint. Of course, it is hard to
visit the galaxy (With speed of light, it takes 2.5 million year for Andromeda.)
So, how do we obtain the information on astrophysical objects such as galaxies from the sky??
5. Light and electromagnetic wave
Radiation(辐射) or electromagnetic wave(电磁波) is a way in which energy is
transmitted through space from to another.
We observe the universe by radiation (electromagnetic wave) and obtain information.
In the lecture today, one of the purposes is to understand “electromagnetic wave”
6. Wave motion
Wave is a way in which energy is transferred from place to place without the physical movement
of material from one location to another.
For example, look at point 1. The
location of point 1 is not changed. But,
the wave transfers information for other
points.
7. The property of wave
Period(周期): the number of seconds needed for the wave repeat itself at any give point in spa
Wavelength(波长): the number of meters needed for the wave to repeat itself at a given
moment in time. It can be measured as the distance between two wave crests.
Amplitude(振幅): the maximum departure of the wave from the undisturbed state.
8. The property of wave
Frequency(频率): the number of wave crest passing any given point per unit. (For
example, how many the wave oscillate per second.)
Frequency =
1
Period
(ex.) A wave with a period of 5 seconds has a frequency of a 1/5=0.2 Hz, meaning one
wave crest passes a given point in space every 5 seconds.
9. The property of wave
Wave velocity(波速)
velocity =
wavelength
Period
or velocity = wavelength × frequency
10. Components of visible light
When the white light passed through a prism, it splits into its component colors, spanning red
to violet in the visible part of the electromagnetic spectrum. The divided rainbow of these
basic color is called a spectrum(光谱).
11. Electromagnetic waves
So far, we understand that electromagnetic wave is important to get information in the universe.
What generates electromagnetic wave?
We consider charged particle such as proton(质⼦)
and electron(电⼦).
(a) particles which have same charge are pushed,
whereas particles with unlike charges attract.
(b) Charged particle generates electric field.
(c) If charged particle begins to vibrate, its
electric field changes.
12. Electromagnetic waves
•The laws of physics tell us that a magnetic field(磁场) must accompany every changing
electric field.
•As we saw previous slide, moving charged particle changes electronic field. This generates
magnetic field and also changing magnetic field generates electronic field.
•Electric and magnetic fields vibrate
perpendicularly teach other. Together they
form an electromagnetic waves that moves
through space at the speed of light c.
c = 3.00 × 105
km/s
•The speed of light is finite. So, light does
not travel instantaneously from place to
place (e.g Sun).
13. Magnetism
• Earth’s magnetic field interacts with a magnetic compass needle, causing the needle to
become aligned with the field.
•Aurora is generated because the earth has
magnetic field.
17. Thermal radiation
•All macroscopic objects, such as fire, ice, people, stars, emit radiation at all times.
•Thermal radiation(热辐射) is electromagnetic radiation generated by the thermal
motion of particles in matter. Thermal radiation is generated when heat from the movement of
charges in the material is converted to electromagnetic radiation
Thermal energy is converted to electromagnetic
wave.
What is the relation between thermal
energy and electromagnetic wave?
Let’s consider it !
18. Temperature
•We first begins to consider “Temperature(温度)”
•We usually use degree(℃) as measure of temperature.
•In physics or astronomy, we often use Kelvin Temperature
instead of degrees
K(Kelvin) = degree Celsius (℃)+273
For example, 0℃ is 273K and water freezes.
•All thermal motion stopps at 0K (-273℃)
•Water boils at 373K(100℃)
19. The blackbody spectrum
•Intensity is a term often used to specify the amount or strength of radiation
•All objects emit all its radiation which is spread out over a range of frequencies.
Blackbody(⿊体谱) : an object that absorbs all radiation falling on it and reemit the same
amount of energy it absorbs.
20. The blackbody spectrum
•Blackbody curve only depends on temperature.
•Black body spectrum depends on frequency.
•As temperature increases, the peak wavelength
becomes longer.
λmax =
2.9mm
T
Wien’s law
Wien’s law tells us that the hotter the object, the bluer is its radiation.
Redder
Bluer
hotter
colder
Does it match your sense??
21. Radiation law
The total energy per unit area is given by Stefan-
Boltzmann equation
Total amount of energy only depends
on its temperature.
•You may know that total amount of energy
increases as the temperature of a object increases
yes, it is correct
22. The blackbody spectrum
What is the relation between thermal energy
and electromagnetic wave?
Remember our first question !
Answer
The electromagnetic wave is related to
temperature via blackbody radiation.
1. Given temperature, blackbody curve is determined.
2. Once blackbody curve is determined, we can know how much the intensity it is at given
frequency.
23. Astronomical applications
(a) A cool dark galactic gas, the temperature is
around 60K. The peak wave length is located at
radio wavelength. Thus, it emits mostly radio
radiation.
(b) A young star with T=600K, the radiation is
mainly infrared.
(c)The sun with T=6000K is brightest in the
visible region.
(d) The Andromeda galaxy, seen at far-ultraviolet
wavelengths, showing the galaxy’s hottest stars and
active core.
24. The Doppler Effect
•If one is moving toward a source of radiation, the wavelengths seem shorter (blue shift); if
moving away, they seem longer (redshift).
•You know the sound of ambulance
is changed when it is approaching
you or it goes away from you.
•This Doppler effect is case of
sound, but electromagnetic wave
can also experience the Doppler
effect
25. The Doppler Effect
•In the universe, astrophysical objects
move, the Doppler effect will occur.
•For example, we will learn later, the
universe is expanding. The expansion of
the universe causes the Doppler effect.
•However, it is difficult to measure
Doppler effect in the case of blackbody
curve, simply because it is spread over
many wavelengths.
•In the context of astronomy, we measure
the Dopper effect for line emission as we
learn next class.
26. Summary
• In the astronomy, we use electromagnetic wave to observe
astrophysical objects and obtain information.
• The electromagnetic wave consists of radio waves, infrared
radiation, visible light, ultraviolet radiation, X-rays and
gamma-rays.
• Blackbody radiation is related to temperature. Given
temperature, blackbody curve is determined and we
measure intensity at given frequency.
• The doppler e
ff
ect occurs due to the motion of radiation
source.