Monday, August 10, 2020

Italian Mafia make merry amidst the COVID-19 pandemic

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Syed Ahmed Uzair

Article Title

Italian Mafia make merry amidst the COVID-19 pandemic

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Global Views 360

Publication Date

August 10, 2020

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Logo of The Godfather (a movie made on Italian Mafia)

Logo of The Godfather (a movie made on Italian Mafia) | Source: Wikimedia

Italy was the first European nation to encounter the coronavirus and it still is one of the worst hit nations in Europe. The country has been battling with an economic decline and rising unemployment for a few years now. However, the COVID-19 pandemic hitting the country was like rubbing salt in Italy’s wounds.

The strict lockdown imposed by the government in Italy has had an adverse effect on a lot of people particularly the small scale and the medium scale business owners. Thus, a lot of people in Italy have resorted to desperate measures. The Italian mafia have made merry of the situation by providing these people with the much-needed aid they have been looking for.

Even as the country struggles to pull itself together, the mafia have made inroads in acquiring influence over the locals by distributing food packets to poor families with no source of income. There have been videos surfacing from the southern regions which suggest that the mafia have been actively involved in delivering essential items to the people.

In Palermo, a mafia gang member, who has been distributing food to the poor, says "People ring me and they cry over the phone,". He further tells, "They say their children can't eat. A young woman has been calling me every single day. She has five kids and doesn't know how to feed them."

However, the Italian mafia has been employing the tactics of exploiting vulnerability of the locals in the face of economic crisis for a long time. The COVID-19 pandemic was yet another opportune moment for them to capitalise.

"The mafia has never done anything out of generosity. That concept doesn't exist for them," says Enza Rando who works for an anti-mafia organisation. "All they know is I'll scratch your back if you scratch mine."

A report by  the Global Initiative Against Transnational Organized Crime (GI-TOC), based on virtual round table discussion between top anti mafia officials and activists suggests that the healthcare sector as well as the manual laborers and service staff who work mostly cash jobs are the most vulnerable to the mafia influence during the COVID-19 pandemic.

As per the national anti-corruption authority ANAC the mafia corruption has been a big setback to the COVID-hit Italian economy. "They are taking advantage of the emergency situations like the current one, with devastating effects on the economic system and on healthy businesses, already hard hit by the crisis," said ANAC President Francesco Merlon.

Sergio Nazzaro, a journalist, writer and adviser to the Parliamentary Anti-Mafia Commission says, ”The people who are jobless don’t care about the mafia, corruption or anything, but they see the state only talking, and from the mafia (they see) money, and I fear that at the end of all this we are going to see how much the mafia managed to buy while we were in crisis.” He stresses that the state will have to provide economic stability to the people if it hopes to eliminate the mafia influence.

Father Luigi Ciotti, an Italian priest and well-known anti-mafia activist pointed out three key areas that need to be monitored for mafia activity during the pandemic. The first is the increase in drug trafficking. The second one is new products like face masks, disinfectants etc which are suddenly in demand and provide heavy profits and third the predatory money lending.

It is quite clear that the Italian government needs to come up with strong economic reforms that ensure stability and security for its people if it hopes to counter the mafia influence. Otherwise, the mafia will always be there to trap vulnerable people by proving to be their benefactors in the short run only to exploit at a later stage.

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April 13, 2021 2:10 PM

Detecting The Ultra-High Energy Cosmic Rays With Smartphones

Smartphones have become the most commonplace objects in our daily lives. The unimaginable power that we hold in our hands is unrealized by most of us and, more importantly, untapped. Its creativity often gets misused but one can only hope that it’s fascinating abilities would be utilized. For example, did you know that the millions of phones around the globe can be connected to form a particle detector? The following article covers the CRAYFIS (Cosmic RAYs Found in Smartphones) phone-based application developed by the physicists from the University of California—Daniel Whiteson, Michael Mulhearn, and their team. CRAYFIS aims to take advantage of the large network of smartphones around the world and detect the cosmic or gamma rays bursts which enter the Earth’s atmosphere almost constantly.

What Are Cosmic Rays?

Cosmic rays are high velocity subatomic particles bombarding the Earth’s upper atmosphere continuously. Cosmic ray bursts have the highest energy compared to all forms of electro-magnetic radiation. When we say ultra-high energy particles (energy more than 1018^eV), we mean two million times more energetic than the ones that can be produced by the particle colliders on Earth.  These rays are thought to be more powerful than typical supernovae and can release trillions of times more energy than the Sun. They are also highly unpredictable as they can enter Earth’s atmosphere from any direction and the bursts can last for any period of time ranging from a few thousand seconds to several minutes.

Despite many theoretical hypotheses, the sources of these ultra-high energy cosmic rays are still a mystery to us even after many decades of their discovery. These rays were initially discovered in the 1960’s by the U.S. military when they were doing background checks for gamma rays after nuclear weapon testing. Cosmologists suggest that these bursts could be the result of super massive stars collapsing - leading to hypernova; or can be retraced to collisions of black holes with other black holes or neutron stars.

How Do We Detect Them?

When the high-energy particles collide with the Earth’s atmosphere, the air and the gas molecules cause them to break apart and create massive showers of relatively low-energy particles. Aurora borealis i.e., the Northern and the Southern lights are the lights that are emitted when these cosmic rays interact with the Earth’s magnetic field. Currently, these particles are hitting the Earth at a rate of about one per square meter per second. The showers get scattered to a radius of one or two kilometers consisting mostly of high-energy photons, electrons, positrons and muons. But the fact that these particles can hit the Earth anytime and anywhere is where the problem arises. Since the Earth has a massive area, it is not possible to place a detector everywhere and catch them at the exact moment.

Energetic charged particles known as cosmic rays hit our atmosphere, where they collide with air molecules to produce a shower of secondary particle | Source: CERN

Detecting such a shower requires a very big telescope, which logically means a network of individual particle detectors distributed over a mile or two-wide radius and connected to each other. The Pierre Auger Observatory in South America is the only such arrangement where 1,600 particle detectors have been scattered on 3,000 square kilometers of land. But the construction cost of the same was about $100 million. Yet, only a few cosmic ray particles could be detected using this arrangement. How do we spread this network around the Earth?

In addition to being cost-effective, such a setup must also be feasible. The Earth’s surface cannot possibly be dotted with particle detectors which cost huge fortunes. This is where smartphones come into the picture.

Detecting The Particles Using Smartphones

Smartphones are the most appropriate devices required to solve the problem. They have planet wide coverage, are affordable by most people and are being actively used by more than 1.5 billion users around the planet. Individually, these devices are low and inefficient; but a considerably dense network of such devices can give us a chance to detect cosmic ray showers belonging to the highest energy range.

Previous research has shown that smartphones have the capability of detecting ionizing radiation. The camera is the most sensitive part of the smartphone and is just the device required to meet our expectations. A CMOS (Complementary Metal Oxide Semiconductor) device is present in the camera- in which silicon photodiode pixels produce electron-hole pairs when struck by visible photons (when photons are detected by the CMOS device, it leaves traces of weakly activated pixels). The incoming rays are also laced with other noises and interference from the surroundings.  Although these devices are made to detect visible light, they still have the capability of detecting higher-energy photons and also low-ionizing particles such as the muons.

A screenshot from the app which shows the exposure time, the events- the number of particles recorded and other properties

To avoid normal light, the CRAYFIS application is to be run during nighttime with the camera facing down. As the phone processor runs the application it collects data from its surroundings using a camera as its detector element. The megapixel images (i.e., the incoming particles) are scanned at a speed of 5 to 15 frames per second, depending on the frame-processing speed of the device. Scientists expect that signals from the cosmic rays would occur rarely, i.e., around one in 500 frames. Also, there is the job of removing background data. An algorithm was created to tune the incoming particle shower by setting a threshold frequency at around 0.1 frames per second. Frames containing pixels above the threshold are stored and passed to the second stage which examines the stored frames, saving only the pixels above a second, lower threshold.

The CRAYFIS app is designed to run when the phone is not being used and when it is connected to a power source. The actual performance would be widely affected by the geometry of the smartphone’s camera and the conditions in which the data is being collected. Further, once the application is installed and is in the operating mode, no participation is required from the user, which is required to achieve wide-scale participation. When a Wifi connection is available the collected data would be uploaded to the central server so that it could be interpreted.

There is much complicated math used to trace back the information collected from the application. The most important parameters for the app are the local density of incoming particles, the detection area of the phone and the particle identification efficiency. These parameters are used to find the mean number of candidates (photons or muons) being detected. Further, the probability that a phone will detect no candidates or the probability that a phone will detect one or more candidates is given by Poisson distribution. The density of the shower is directly proportional to the incident particle energy with a distribution in x and y sensitive to the direction in which the particle came from. An Unbinned Likelihood (it is the probability of obtaining a certain data- in this case the distribution of the cosmic rays including their energy and direction, the obtained data is arranged into bins which are very, very small) analysis is used to determine the incident particle energy and direction. To eliminate background interference, a benchmark requirement has been set that at least 5 phones must detect and register a hit to be considered as a candidate.

It is impossible to express just how mind-blowing this innovation is. As the days pass, Science and Technology around us keep on surprising us and challenge us to rack our brains for more and more unique ways to deal with complex problems. The CRAYFIS app is simply beautiful and it would be a dream-come-true to the scientists if the project works out and we are able to detect these high energy, super intimidating cosmic rays with smartphones from our backyard.

Further Reading

The paper by Daniel Whiteson and team can be found here.

An exciting book “We Have No Idea” by Daniel Whiteson and cartoonist Jorge Cham can be found here.

The CRAYFIS app can be found here.

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