Skip to main content

Goodbye, Oppurtunity. Nasa mars rover 'Opportunity' no longer resposding.



Opportunity, the intrepid NASA rover that spent 15 years on Mars climbing in and out of craters to gather evidence of the planet's watery past, has been brought down by tiny particles of dust.

After weeks of trying to revive the veteran Mars rover in the wake of a blinding dust storm, NASA has given up on ever hearing from it again.

It's a humble ending for a machine that survived a 300-million-mile journey through space, executed a hole-in-one landing, and set a record by driving more than 28 extraterrestrial miles.
Opportunity's last transmission to Earth occurred on June 10 amid an epic Martian dust storm. Still, NASA engineers remained hopeful that when the dust settled, the rover would recharge its solar-powered batteries and resume its superlative mission.

Opportunity landed on Mars in January 2004 for a mission that was supposed to last 90 Martian days. Its twin rover, Spirit, had landed three weeks earlier on the other side of the planet.

"With a sense of deep appreciation and gratitude, I declare the Opportunity mission is complete," Thomas Zurbuchen, associate administrator of NASA's Science Mission Directorate, told a crowd gathered at the Jet Propulsion Laboratory in La CaƱada Flintridge.

In the beginning, though, the rover’s main goal was to find evidence of water on Mars, which it did almost as soon as it opened its eyes. This is one of the first views it saw after landing January 25, 2004, in a small depression named Eagle crater near the Martian equator.

Opportunity Rover


They each had high-resolution color cameras that gave them the equivalent of 20/20 vision. Each had a robotic arm with a shoulder, elbow and wrist, allowing them to reach out and examine anything that looked interesting.

Using an infrared spectrometer, they scanned the Martian landscape for rocks and soil that contained minerals that form in water. A microscopic imager gave them the ability to look at the texture of a rock up close and at a very fine scale.

They also had two spectrometers that enabled them to determine the mineral composition of stones and boulders, and a little diamond-tipped grinding tool to chip away at the surface of a rock and see what lay beneath.

"It was essentially a robotic geologist with eyes, a hand lens and a rock hammer," Squyres said. "The difference is that instead of taking something interesting back to the lab, we took our laboratory with us."

Armed with this arsenal, Opportunity quickly found strong evidence that itsoriginal landing site once contained a large body of salty water. The physical appearance of the rocks and the discovery that many of them contained minerals that usually form in watery conditions revealed that the dry and dusty planet did indeed have a secret, wetter past.

Later, mission planners drove the rover across 20 miles of bumpy Martian terrain to an ancient crater named Endeavour. There it encountered even older rocks and found veins of a mineral that scientists believed to be gypsum.

Comments

Popular posts from this blog

AI in Soap Manufacturing Industry

Machine learning (ML) has numerous potential applications in the soap manufacturing industry, contributing to process optimization, quality control, resource management, and more. Here are some examples: 1. Quality Control : ML algorithms can be trained to analyze images of soap bars to detect defects such as cracks, air bubbles, or inconsistent coloring. By automating the inspection process, manufacturers can ensure that only high-quality products reach the market, reducing waste and enhancing customer satisfaction. 2. Predictive Maintenance : ML models can analyze sensor data from manufacturing equipment to predict when maintenance is needed. By detecting potential issues before they cause equipment failure, manufacturers can minimize downtime and reduce repair costs. 3. Supply Chain Optimization : ML algorithms can analyze historical data on raw material prices, demand forecasts, and production schedules to optimize inventory management and procurement decisions. This helps minimize...

SkyCruiser : Flying Car Without Runway , A Car, Helicopter and Aeroplane

Flying Car has been a dream of many people for lot of years and many company are working on making it possible. Think about a flying Car which can take off without runaway. Now a Arizona based start-up called Krossblade Aerospace Systems is thinking of making it possible. Krossblade has come out a concept of a SkyCruiser that will act as a car, airplane and helicopter. Skycruiser is a 5-seat hybrid VTOL transformer plane with an ability to drive on road also. While the concept has been in developing mode, therefore company is coming out with a miniature unctioning prototype called 'SkyProwler'. VTOL, vertical take off and landing give it a power to take off from anywhere and land it anywhere. To fly it fast it has to be aerodynamically clean therefore it is made narrow, somewhat drop-shaped with only few things sticking out. Working: SkyCruiser in normal mode is pushed along by two 150 bhp electric motors in the tail, which is then switched to set of four rotors arm fro...

Startup builds AI to automate accounting

Smacc , which uses AI to automate accounting, has secured a 3.5 million Series A round from Cherry Ventures, Rocket Internet, Dieter von Holtzbrinck Ventures, Grazia Equity and business angels. Smacc offers small and medium-sized enterprises a platform to digitize and automate accounting and financial processes. The founding trio Uli Erxleben, Janosch Novak and Stefan Korsch came up with the idea after find accounting to be the most painful part of their own startup. Erxleben managed Rocket Internet’s US ventures in New York and San Francisco, and is also the founder of Berliner Berg , a craft beer startup. Customers submit their receipts to Smacc, which are turned into a machine-readable format, encrypted, then allocated to an account. The platform gradually also self-learns, tracking invoices, sales and costs, as well as their liquidity. The system checks against some 64 data points, verifies the invoice, checking, for example, that the math adds up, and even if the VAT...