Black Life Matters: Impact on the upcoming Presidential Elections in the US
Publisher
Global Views 360
Publication Date
June 22, 2020
URL
President Trump at Tulsa | Source: AP via Wikimedia
George Floyd, 46, a black man died after a white police officer, named Derek Chauvin, held him down by lodging him down by a knee on his neck for almost nine minutes. He lapsed into unconsciousness saying, “I can’t breathe” and died shortly afterwards. His death came as the latest one in the line of killings of African-Americans by American law enforcement personnel. This incident sparked nationwide protests over systematic racism, unequal treatment of Black Americans and police brutality.
These protests are expected to impact the upcoming Presidential elections in the USA which is due in November 2020. The race issue in US Presidential elections has now become equally important as health care and the economy. According to a CNN poll, “With 42% of Americans calling race relations significant to their vote for president this fall”. There is a demographic split in the votes, where 61% black voters in 2020 say that it is imperative to prioritize race relations which is a jump from 34% in 2015. The opinion also varies between the followers of political parties as 60% of the Democrats and democratic-leaning independent voters and 18% of the Republicans and Republic-leaning voters have said that race relations are extremely important.
President Trump opposed the protests very strongly and even threatened to send federal troops into the states to curb the protests. He came up with a series of tweets on the protests which shocked the young people of America into action and went global very soon. One of these tweets read: “Get tough Democrat Mayors and Governors,”. Referring to Biden, he added: “These people are ANARCHISTS. Call in our National Guard NOW. The World is watching and laughing at you and Sleepy Joe. Is this what America wants? NO!!!”.
President Donald Trump will have a formidable opponent in former Vice President Joe Biden who is Democratic Party candidate in the Presidential elections. Joe Biden has a good following among the Black-American voters Recently, in an interview, Biden said: “If you have a problem figuring out whether you’re for me or Trump, then you ain’t black.”
The tweets and other statements of Trump invoking the spectre of lawlessness and turmoil are seen as a ploy to get back suburban voters who were disgusted by his handling of the pandemic by. A law and order crisis also allows Trump to go back to his 2016 campaign, where the campaign video reads “President Trump’s not always polite. Mr Nice Guy won’t cut it.” Trump has arguably benefited from the fact that his mishandling of the pandemic was pushed out of the picture with the media coverage of protests and riots.
On the other hand, Joe Biden, in his speech said “I won’t traffic in fear and division. I won’t fan the flames of hate. I’ll seek to heal the racial wounds that have long plagued our country, not use them for political gain. I’ll do my job, and I’ll take responsibility — I won’t blame others”. Biden is also promising to address the lack of racial equality under the law, which might give his potential presidency a reform, and something that could unite the Democratic Left fully behind him.
At the moment, there is a rise in Voter registrations, volunteer activities and donations for groups that are linked to democratic causes. The surge in registration could be beneficial to the Democratic Party candidate Joe Biden. However, the presidential election is still over four months away and Trump’s campaign is well-funded with the backing of conservative media and loyal followings. To keep up the current narrative and build on the support on its back is going to be a herculean task for Biden’s campaign team.
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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 10<sup>18</sup> 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.
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.
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.