Aditya L-1: Reading the Sun’s resume 

 Aditya L-1: Reading the Sun’s resume 


To know about a distant object, you need something to start from that object and reach you—a letter, voice, or reflected light. Astronomers learn about distant stars by analysing the electromagnetic radiation, including visible light from the stars and reaching their telescopes or other instruments. 

Luckily, the Sun is not as far as the other stars. It is ‘only’ 151 million km. And, again, it sends not just electromagnetic radiation, but also ‘matter’, mostly in the form of particles—positively charged protons, alpha particles (two protons and two neutrons) and a little bit of electrons. 

By sending (a) electromagnetic radiation, such as infrared, visible light, ultraviolet, X-rays, and (b) matter, in the form of particles—the Sun is sending us its resume. If we are able to read them, we know who our Sun is. 

Aditya L-1 is meant to do precisely  that – read Sun’s resume. The spacecraft was successfully launched by India’s ISRO into an Earth orbit and, over the next 125 days, will be slowly ‘pushed’ towards its parking slot—the Lagrange-1 point, 1.5 million km from the earth in the direction of the Sun—where it will have an uninterrupted view of the Sun, 24×7. 

With the Aditya L-1 solar, ISRO has ticked many boxes.  

The mission is the first of its kind, not only for India on some counts but for the whole world on others. 

When the spacecraft reaches L-1, it will make ISRO only the third space agency in the world to park a spacecraft at that point – after US NASA and the European Space Agency.  

Aditya L-1 will be the fifth object to be positioned there, the fourth for Sun observation.  

(NASA and ESA jointly were the first to put up a spacecraft at L-1 when they sent up the Solar and Heliospheric Observatory (SOHO) into L-1 in 1995. (Against an estimated mission life of 2 years, the SOHO is still alive and functioning even after 27 years.) The Advanced Composition Explorer (ACE), also of NASA, was the second to go to L-1. Again, NASA’s Wind spacecraft was the third—it was launched in 1994, but after being stationed at different places, it reached L-1 in 2004, where it is still functioning. The Deep Space Climate Observatory (DSCOVR) is the fourth spacecraft to be put up into L-1, but it is meant to observe the earth rather than the Sun. And now, Aditya L-1 will become the newest tenant of L-1.) 

Only one in the world 

Dr Anil Bharadwaj, Director, Physical Research Laboratory, Ahmedabad, observes that the spacecraft is “absolutely unique” because it is only fitted with instruments designed to measure particles, fields and radiation. There is none today that can do all three. 

As for particles, there are ground-based observatories, but the particles they receive have already undergone scattering by colliding with other particles in the earth’s atmosphere, whereas the Aditya L-1, being stationed in space, can check out on virgin particles—which can tell more.  

As for fields, the spacecraft can look at the Sun’s magnetic field, observe variations in the field and see how the variations impact the Sun’s activities, such as throwing up billions of tons of mass (coronal mass ejection) and sending gusts of solar winds (streaming particles.)  

As for radiation, Aditya L-1 is designed to pick up a wide range of electromagnetic radiation from the Sun, from near-infrared to visible light to near ultraviolet to soft and hard X-rays. If you imagine an electromagnetic radiation spectrum to be a string stretched between your hands, Aditya L-1 cuts a big length in the middle. 

Technology demonstrator 

Aditya L-1 is the first time that India is positioning a spacecraft at Lagrange-1 point. Injecting a spacecraft at this point calls for extreme precision. Once there, it also calls for skillful station-keeping, as the spacecraft would constantly be subject to many pulls and pressures (though not as much as at other, non-Lagrange points.) Apart from generating knowledge, the Aditya L-1 is a veritable technology demonstrator.  

The two major instruments – Solar Ultraviolet Imaging Telescope (SUIT) and Visible Emission Line Coronagraph (VELC) — are entirely designed and built in India by Indian scientists. Interestingly, they are complementary to each other. While the SUIT keeps looking at the central disc of the Sun, the VELC ‘blocks off’ the central disc and looks at the rim—the corona—the way we see the Sun during the solar eclipse. The corona is a million times fainter than the disc, points out Dr Annapurni Subramanian, Director, Indian Institute of Astrophysics. With the disc blocked, VELC can ‘see’ the corona better. Further, since both VELC and SUIT are looking at different parts of the Sun at the same time, scientists can infer the effect of any activity in the Sun on the corona. 

Unique data 

According to Dr K Sankarasubramanian, Principal Scientist for the Aditya L-1 mission, notes that the seven instruments on spacecraft will generate a “unique set of data currently not available.” 





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After the moon, India begins mission to study the sun

After the moon, India begins mission to study the sun


Indian Space Research Organisation’s workhorse Polar Satellite Launch Vehicle – PSLV-C57/Aditya Mission had a successful lift-off from the second launch pad of the Satish Dhawan Space Centre SHAR, Sriharikota.

ISRO’S Aditya-L1 lifts off aboard the PSLV-C57 rocketVideo Credit: TE Raja Simhan

After a successful landing on the Moon recently, the Aditya-L1 mission is to study the Sun. Aditya-L1 is the first space-based observatory-class Indian solar mission to undertake a comprehensive study of the Sun.

At 11.50, the ISRO’s workhorse PSLV blasted off from the second launch pad. On a hot and sunny day, PSLV-C57 emerged behind the trees – as visible from the terrace of the media centre about three km from the launch pad – and soared with a thunderous sound in the clear sky. The rocket with its orange flame in its tail left behind thick smoke as it soared.

The 1,420-kg spacecraft (PSLV XL) carried seven payloads to observe the photosphere, chromosphere, and the outermost layers of the Sun (the corona) using electromagnetic and particle detectors. Using the special vantage point of L1, four payloads will directly view the Sun and the remaining three payloads will carry out in-situ studies of particles and fields at the Lagrange point L1.





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Plasma on moon sparse, radio communication won’t be hard, finds Chandrayaan-3 instrument

Plasma on moon sparse, radio communication won’t be hard, finds Chandrayaan-3 instrument


Even as one more instrument onboard the Pragyan rover confirmed the presence of sulfur on the moon, another instrument—a Langmuir probe—on the Vikram lander has revealed that the density of plasma near the lunar surface is rather thin. 

A Langmuir probe—named after its inventor, the American physicist Irving Langmuir—is an instrument that measures properties of plasmas. (Plasma—not to be confused with blood plasma—is a state of matter, when it is super-hot. It is a soup of positively charged ions and negatively charged electrons.) 

The Langmuir probe on the Vikram lander, which ISRO has christened ‘Radio Anatomy of Moon Bound Hypersensitive Ionosphere and Atmosphere—Langmuir Probe (RAMBHA-LP) has checked out the plasma in the region near the moon’s surface and has assessed that “the plasma near the lunar surface is relatively sparse.” 

This means that there are not many electrons in this region of space, ISRO said in a tweet. The thinness of lunar plasma is important because it affects the way radio waves propagate through space. Radio waves are affected by the presence of plasma—the denser the plasma, the more the radio waves are scattered. 

The sparseness of lunar plasma means that radio waves can propagate through space with less attenuation, which is important for communication between lunar missions, ISRO said. 

The Langmuir probe

A Langmuir probe, which is essentially an electrode which, when dipped into plasma, can pick up electrons and ions, and measure the electron temperature, electron density and ion density of the plasma by obtaining its current-voltage characteristics. The RAMBHA-LP, developed by the Space Physics Laboratory (SPL), Vikram Sarabhai Space Centre (VSSC), Thiruvananthapuram, is a 5-cm metallic spherical probe mounted on a 1-meter boom and attached to the Lander’s upper deck. The boom, which opens like a switch-knife, holds the spherical probe away from the Lander, so that the probe is dipped into the undisturbed lunar plasma environment well away from the Lander’s body.  

In a press release issued today, ISRO noted that the system “can detect minute return currents, as low as pico-emperes with a dwell time of 1 millisecond.” 

The system can accurately determine ion and electron densities as well as their energies based on the measured return current. 

“The initial assessment indicates that the plasma encompassing the lunar surface is relatively sparse, characterized by a number density ranging from approximately 5 to 30 million electrons per cubic meter. This evaluation specifically pertains to the early stages of the lunar daytime. The probe operates without interruption, aiming to explore the changes occurring in the near-surface plasma environment throughout the lunar day. These ongoing observations hold significant implications for comprehending the process of charging within the lunar near-surface region, particularly in response to the fluctuations in solar space weather conditions,” the ISRO release says.  

More good news

Meanwhile, another instrument on the Pragyan rover confirmed the presence of sulfur in the region, using a different technique, called ‘alpha particle X-ray spectroscope’. This finding “compels scientists to develop fresh explanations for the source of sulphur in the area—intrinsic? Volacanic? Meteroritic?” tweeted ISRO. Earlier, the ‘laser-induced breakdown spectroscope’ (LIBS) on the rover had “unambiguously” confirmed the presence of sulphur there.  

Presence of sulphur on the moon has been known for decades, through analysis of soil samples brought by the Apollo missions of NASA, but this is the first time that an in-situ measurement was done. This finding may not be new, but it is a ‘technology demonstrator’. The LIBS has also found aluminium, calcium, iron, chromium, titanium, manganese, silicon and oxygen. “Search for hydrogen is underway,” ISRO said. 

Further, the rover was rotated around, in search of a safe route. ISRO has released pictures of the rotation, captured by a camera on the Lander. “It feels as though a child is playfully frolicking in the yards of Chandamama, while the mother watches affectionately. Isn’t it?” tweeted ISRO. 





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Dropbox ends unlimited cloud storage following Google change

Dropbox ends unlimited cloud storage following Google change


Dropbox Inc., a provider of online data storage, is ending its unlimited option, saying a small handful of customers were using massive amounts of resources that had the potential to degrade the cloud service for the rest of its clients.

The company’s highest-tier “all the space you need” storage plan will be capped at about 5 terabytes per user for new customers, the company said in a blog post shared with Bloomberg to be released Thursday. That’s enough space to save about 33 million documents, Dropbox said.

While the plan was designed for businesses, some clients were instead using it for cryptocurrency mining, pooling storage with strangers, or re-selling the cloud service, Dropbox said. These uses “frequently consume thousands of times more storage than our genuine business customers, which risks creating an unreliable experience for all of our customers,” the company said.

Also Read | Dropbox announces new features including automated folders to help users stay organised

With more than 18 million paying users, Dropbox is one of the best-known companies in the cloud storage industry and reported $2.5 billion in annual recurring revenue during its fiscal-second quarter earnings on August 3. The company has worked to expand beyond storage with document management services and video-specific tools.

The change follows Alphabet Inc.’s Google removing “as much storage as you need” product branding for its highest-tier Workspace plan in May, according to copies of its website hosted on the Wayback Machine. Customers have posted on forums about being told they had exceeded storage limits and needed to pay for additional capacity. Some discussed moving to Dropbox after receiving such warnings.

A Google spokesperson said the company began rolling out “pooled storage” for customers last year, and those using over 80% of their plan’s limit will be notified. While storage policies weren’t changed in May, language was updated to “clarify that customers on these plans receive 5 TB of Drive Secure cloud storage per user with the ability to request more,” the spokesperson said.

Dropbox said it saw a surge of unintended uses the past few months “in the wake of other services making similar policy changes.” The company’s server capacity faced increased pressure in recent weeks, said a person familiar with the issue who asked not to be named discussing internal matters.

Under Dropbox’s new plan, each additional terabyte will cost $8 per month compared with the previous “as much space as needed” plan at $24 per month. Current users with less than 35 terabytes — more than 99% of top-tier plan customers — will be able to keep their current storage at the same price for five years, the company said. Those exceeding will be contacted “to discuss a range of options.”

Across the economy, more people and businesses rely on internet-based services to store and manage their files. Industry analyst IDC said that spending on cloud storage is expected to jump 25% this year to $59.9 billion, and hit $127.8 billion in 2027. For its infrastructure customers, Google increased the cost of cloud storage last year. Apple Inc. also recently raised cloud storage prices for customers in the UK. Amazon.com Inc. once offered an unlimited storage plan, before ending it in 2017. Microsoft Corp. made a similar move in 2015. Box Inc., another provider, still advertises “unlimited storage” for its enterprise plans.

“We recognize that changing an ‘all the space you need’ policy will be disappointing for some customers,” Dropbox said. “While we‘re unable to offer this option going forward, our goal is to ensure that the vast majority of teams on our Advanced plan experience no disruption.”

More stories like this are available on bloomberg.com





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Chandrayaan-3: ISRO releases images of Lunar far side area captured by Lander camera

Chandrayaan-3: ISRO releases images of Lunar far side area captured by Lander camera


The ISRO on Monday released images of Lunar far side area captured by the Lander Hazard Detection and Avoidance Camera (LHDAC).

This camera that assists in locating a safe landing area — without boulders or deep trenches — during the descent is developed by Ahmedabad-based Space Applications Centre (SAC), a major research and development centre of ISRO.

Also Read | Chandrayaan-3 lunar landing: Lessons from Chandrayaan-2 drive success plans

According to the space agency, to achieve the mission objectives of Chandrayaan-3, several advanced technologies are present in the Lander such as LHDAC.

Chandrayaan-3, launched on July 14, is a follow-on mission to Chandrayaan-2 to demonstrate end-to-end capability in safe landing and roving on the lunar surface.

Also Read | Chandrayaan-3: Lander Module successfully separates; ready to be moved closer to Moon’s surface

The ISRO said on Sunday that the Lander Module with rover in its belly is expected to touch down on the surface of the Moon around 6.04 p.m. on August 23.





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Digging ice-capped Arctic depths to understand climate change

Digging ice-capped Arctic depths to understand climate change


The heat content of the Arctic Ocean is crucial globally, affecting climate, weather, sea levels, and ecosystems. It serves as an indicator of broader climate change effects worldwide, connecting ecosystems, economies, and societies globally.

Highlighting the importance of such studies, Palanisamy Shanmugam, professor at the Department of Ocean Engineering, Indian Institute of Technology, Madras, said, “The Arctic OHC (ocean heat content) is a vital measure to represent the global climate system. This research and the OHC estimates produced from it will lead to better understanding of global climate change such as sea level rise and temporal trends of polar sea ice extent decline.”

Researchers from IIT Madras have created an artificial neural network (ANN) model to estimate OHC in ice-covered Arctic regions. They have linked satellite-based sea ice data to in-situ CTD (conductivity, temperature, depth) profiles to estimate OHC up to 700 metres deep. This model accurately predicts OHC changes and tracks spatio-temporal variations, offering insights into historical trends and regional patterns. Led by professor Palanisamy Shanmugam and his student Kondeti Vijay Prakash, the team published its work in the peer-reviewed journal IEEE Access .

Scarce data

The challenge for reliable OHC estimates is the scarcity of data. Estimating OHC in the inaccessible top ocean layer involves approximations, leading to uncertainties. Improving accuracy involves creating in-situ databases for different layers and refining modelling studies.

This is where the availability of satellite-derived sea-ice parameters becomes crucial for model development. Enhancing these parameters, especially snow concentration, can improve the efficiency and accuracy of the OHC model for the Arctic region in the future. Prakash said that the research team overcame the challenge of scarce in-situ data by building an optimum ANN architecture to model the spatial, temporal, and depth variabilities of Arctic OHC with greater accuracy than previously possible. He added, “As a result, the research provides an elaborate and comprehensive framework of ice-covered Arctic heat content estimation in a near real-time and wide coverage of satellite observation data.”

The study uses satellite data products like sea ice concentration, sea ice thickness, surface temperature, ambient air temperatures, and snow depth. Daily sea ice thickness and surface temperature products from the APP-x product suite were used in the study. Surface and 2m air temperatures from satellite observations over the Arctic region were utilised. Snow depth data were collected from the TOPAZ4 reanalysis products.

In combination with the satellite data products, the researchers used data from instruments like the WHOI-ITP, which measures temperature and other properties of the ocean under the ice.

A promising model

The researchers developed an ANN model to estimate changes in OHC based on various sea ice thermodynamic parameters. The model is based on theoretical considerations about various factors affecting heat transfer in the region, including heat advection by Atlantic and Pacific waters, heat exchange at different boundaries (ocean-atmosphere, ocean-continent, ocean-seabed) and sea ice state (thickness, extent, properties).

ANN is a machine learning technique that learns patterns from data and establishes relationships between inputs and outputs. They experimented with different configurations of the ANN architecture, including the number of hidden layers, number of neurons, activation functions, and scaling techniques. The researchers divided their data into different sets to develop and test their model. They wanted their data to cover different regions and times to account for the various factors that influence the ocean’s heat content. They used about 13,932 samples for model development and 5,995 samples for independent validation.

The ANN model takes these inputs, processes them through multiple layers, and produces an estimate of OHC change. The performance of the model is assessed using various statistical metrics. Finally, a comparison is made between the model-derived OHC values and the OHC values obtained from the Multi Observation Global Ocean ARMOR3D L4 analysis system. The model accurately estimates OHC changes at different depths across a 0.25° spatial scale, considering various sources of uncertainty and minimizing data noise. The model also provides a promising tool for estimating spatial and temporal OHC changes in the ice-covered Arctic and has the potential to be further refined for deeper layers.





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