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After the successful Chandrayaan-3 mission to the Moon, ISRO on Monday announced that India’s first solar mission Aditya-L1 to study the Sun will be launched on September 2 at 11.50 am from Sriharikota spaceport. 

Aditya-L1 spacecraft is designed to provide remote observations of the solar corona and in-situ observations of the solar wind at L1 (Sun-Earth Lagrange point), which is about 1.5 million kilometres from the Earth.

Lagrange Points are positions in space where the gravitational forces of the Sun and the Earth produce enhanced regions of attraction and repulsion. These can be used by spacecraft to reduce fuel consumption needed to remain in position, according to NASA. Lagrange points are named in honor of Italian-French mathematician Josephy-Louis Lagrange.

The Bengaluru-headquartered space agency said in a social media post that the spacecraft — the first space-based Indian observatory to study the Sun — would be launched using a PSLV-C57 rocket.

The Aditya-L1 mission, aimed at studying the Sun from an orbit around the L1, would carry seven payloads to observe the photosphere, chromosphere and the corona — the outermost layers of the Sun — in different wavebands.

Aditya-L1 is a fully indigenous effort with the participation of national institutions, an ISRO official said.

The Bengaluru-based Indian Institute of Astrophysics (IIA) is the lead institute for the development of Visible Emission Line Coronagraph (VELC) payload while Inter-University Centre for Astronomy and Astrophysics, Pune, has developed the Solar Ultraviolet Imaging Telescope (SUIT) payload for the mission.

According to ISRO, VELC aims to collect the data for solving how the temperature of the corona can reach about a million degrees while the Sun’s surface itself stays just over 6000 degrees Centigrade.

Aditya-L1 can provide observations on the corona, and on the solar chromosphere using the UV payload and on the flares using the X-ray payloads. The particle detectors and the magnetometer payload can provide information on charged particles and the magnetic field reaching the halo orbit around L1.

The satellite, developed by U R Rao Satellite Centre here, arrived at ISRO’s spaceport of Sriharikota in Andhra Pradesh, earlier this month.

It is planned to be placed in a halo orbit around the L1 point of the Sun-Earth system.

A satellite placed in the halo orbit around the L1 point has the major advantage of continuously viewing the Sun without any planets obstructing the view or causing eclipses, ISRO noted. “This will provide a greater advantage of observing the solar activities and its effect on space weather in real time,” it said.

Using the special vantage point L1, four payloads would directly view the Sun and the remaining three payloads are expected to carry out in-situ studies of particles and fields at the L1 point, thus providing important scientific studies of the propagatory effect of solar dynamics in the interplanetary medium.

“The SUITs of Aditya L1 payloads are expected to provide the most crucial information to understand the problem of coronal heating, coronal mass ejection (CME), pre-flare and flare activities and their characteristics, dynamics of space weather, propagation of particle and fields etc,” ISRO said.

The major science objectives of the Aditya-L1 mission are: study of solar upper atmospheric (chromosphere and corona) dynamics; study of chromospheric and coronal heating, physics of the partially ionised plasma, initiation of the coronal mass ejections, and flares; observe the in-situ particle and plasma environment providing data for the study of particle dynamics from the Sun; and physics of solar corona and its heating mechanism.

Besides, the mission aims to study diagnostics of the coronal and coronal loops plasma: temperature, velocity and density; development, dynamics and origin of CMEs; identify the sequence of processes that occur at multiple layers (chromosphere, base and extended corona) which eventually leads to solar eruptive events; magnetic field topology and magnetic field measurements in the solar corona; and drivers for space weather (origin, composition and dynamics of solar wind).

The instruments of Aditya-L1 are tuned to observe the solar atmosphere, mainly the chromosphere and corona. In-situ instruments will observe the local environment at the L1 point. 

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026

SpaceX has signed a first-of-its-kind deal with the Italian Space Agency (ASI) to fly Italian science experiments to Mars aboard its Starship rocket. ASI President Teodoro Valente announced that ASI will send its experiments on SpaceX’s first commercial Mars flights. The payloads will include a plant-growth module, a meteorology station and a radiation detector, which will collect data during the roughly six-month journey and on the Martian surface. This landmark agreement represents a new milestone in Mars exploration.

Italian Scientific Experiments on Starship

According to the ASI officials, the payloads include “a plant growth experiment, a meteorological monitoring station and a radiation sensor”. The plant experiment is designed to test how plants grow during the months-long trip and under Mars-like conditions, which will inform future life-support systems. The meteorological module will record Martian weather (temperature, pressure, etc.) to improve understanding of Mars’s climate. The radiation sensor will measure cosmic rays and solar particles during the flight and on Mars’ surface, providing data essential for assessing astronaut safety.

Mission Timeline and Commercial Partnership Implications

Starship has completed only suborbital test flights (nine as of mid-2025) and has not yet reached orbit. SpaceX is targeting the Nov–Dec 2026 Mars launch window, but CEO Elon Musk cautions that “a lot needs to go right” and success is far from guaranteed. Starship itself is a massive two-stage fully reusable rocket built specifically for Mars missions. Meeting these targets depends on completing Starship’s development and test flights.

For SpaceX, the contract turns Starship into a Mars transportation service. The deal lets Italy send experiments to Mars without developing its own rocket. More broadly, it exemplifies a new era in which countries and organizations can purchase payload flights on commercial rockets, benefiting future Mars research.

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SWOT Satellite Captures Tsunami Wave After Kamchatka Quake

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SWOT Satellite Captures Tsunami Wave After Kamchatka Quake

The U.S.-French SWOT (Surface Water and Ocean Topography) satellite captured the leading edge of a tsunami wave that rolled through the Pacific Ocean on July 30, 2025 (11:25 a.m. local time), in the wake of a magnitude 8.8 earthquake that struck Russia’s Kamchatka Peninsula. The satellite captured the data about 70 minutes after the earthquake struck. SWOT is a designed to map oceans and freshwater on Earth. The satellite recorded data from the tsunami as it passed through the deep ocean.

About SWOT

According to NASA, The SWOT satellite was jointly developed by NASA and the French space agency CNES (Centre National d’Études Spatiales). NASA provided the Ka-band radar interferometer (KaRIn) instrument, a GPS science receiver, a laser retroreflector, a two-beam microwave radiometer, and NASA instrument operations. The Doppler Orbitography and Radioposition Integrated by Satellite system, the dual frequency Poseidon altimeter, the KaRIn radio-frequency subsystem, the satellite platform, and ground operations were provided by CNES.

These advanced technology and specialized radar helps SWOT to map the height of the ocean surface. In this case, SWOT’s measurement of the tsunami wave’s height and shape in open water showed that the leading edge of the wave was about 1.5 feet (45 centimeters) high. It also captured the wave’s profile and direction as it traveled toward coastal areas. Such detailed measurements of a tsunami at sea are unprecedented.

Better disaster forecast

The NOAA Center for Tsunami Research tested its forecast models using the new satellite data and found that including SWOT’s measurements could significantly improve forecast accuracy. NASA oceanographer Ben Hamlington noted that even a 1.5-foot tsunami in the deep ocean can amplify into a 30-foot wave at the shore and it is important to detect it early. Vasily Titov, chief scientist at NOAA’s Center for Tsunami Research, added that these observations suggest SWOT could significantly enhance operational tsunami forecasting – a capability long sought since the 2004 Sumatra disaster.

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026



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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

Ancient Roman Inscriptions help us understand laws, traditions, economy, and even the emotional perspective of ancient people. Their lives and histories, however, have been rendered difficult to understand because, over time, the inscriptions have been damaged. Every year, there are 1500 Roman inscriptions discovered, albeit many of them are incomplete. Fortunately, advancements in technology like the new Aeneas tool, is helping in the future understanding of the Roman inscriptions. It serves as a large language model specializing in reading, interpreting, and giving context to Roman inscriptions.

Decode Ancient Roman Inscriptions

As Per Report,Drawing its name from a hero in Roman history, Aeneas, the model has been trained on nearly 200,000 latian inscriptions, which span from the 7th century to the 8th century covering regions from Portugal to Iraq.Aneas has the capability to analyze images of damaged inscriptions and predict or even fill in missing letters or words. In addition to that, it is able to determine a time frame and location for the inscription, as well as cross-reference it with other inscriptions containing similar phrases or purposes.

Making History Clearer Through Technology

Since Aeneas is trained exclusively on Latin inscriptions, specialists believe that he is less prone to random or false errors when compared to general AI approaches. University of Sydney historian Anne Rogerson remarked that Aeneas’s proposals, as informed guesses, still involve real historical data as opposed to baseless conjectures.

Despite the model’s open availability,Made public alongside the model’s code and data, Aeneas’s creator, Google DeepMind, offered the model without restrictions.

Most impressively, Aeneas can be accessed for free, enabling students and researchers to shift through and reinterpret previously concealed fragments of Roman history to understand them on a deeper level.

For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who’sThat360 on Instagram and YouTube.


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