Anti NRC-CAA Protests: How it shattered the Stereotypes of “Voiceless Indian Muslim Women”
Publisher
Global Views 360
Publication Date
December 11, 2020
URL
Mural featuring Muslim Women in Shaheen Bagh | Source: DTM via Wikimedia
The anti CAA-NRC protest that erupted in December 2019 across many places in India has broken many widely stereotypes associated with Muslim women. The most common narrative of Indian Women in general and Indian Muslim Women in particualar revolves around the oft repeated claims of them being oppressed at home, discriminated in society, and confined to the household. However the widespread participation of Muslim women in the pro-constitution anti-NRC-CAA movement has broken numerous stereotypes regarding women in general and Muslim women in particular. They did not limit their role to silent bystanders; instead, they were actively involved in every dimension of these movements and demonstrated that they are not only capable of understanding complex issues, but can also orchestrate grassroot movements to oppose the oppressive and discriminatory policies introduced by the government.
Shaheen Bagh, a neighbourhood in South Delhi, became a prominent symbol for their non-violent resistance. It was the longest protest site against NRC-CAA. “I hardly ever leave my house alone. My son or husband accompanied me even to the nearby market. So I found it tough at first to be out here. But I feel compelled to protest” said Firdaus Shafiq, one of the protestors at Shaheen Bagh. What made the protests unusual was that protestors like Firdaus Shafiq were not activists they were everyday Muslim women and mostly homemakers.
Shaheen Bagh inspired women across India to stand together. Muslim women in Central Mumbai came up with ‘Mumbai Bagh’ to express their solidarity to Shaheen Bagh. Mumbai Bagh included almost four thousand women protesting. These large scale agitations encouraged women to join from different walks of life and religion to protest for the shared cause of revoking CAA and NRC.
However, all these protests have come with a price. To repress these agitations, several women have been arrested, some under the draconian Unlawful Activities Prevention Act (UAPA). Women like Safoora Zargar and Gulfisha Fatima who have become icons of dissent have been arrested under the same. Even though Safoora Zargar was given bail on humanitarian grounds since she was pregnant, Gulfisha Fatima’s petition was dismissed. What is highly unfortunate and surprising is that most of these arrests have been made when the country is going through a pandemic.
Muslim women in India have been predominantly labelled as veiled, submissive, uneducated and voiceless. Thus, their mass level involvement has come as a surprise to many Indians. These women have reclaimed their spot in the public sphere, but this is not a sudden change. On one level, their participation could be attributed to the growing anxieties among the Muslim community about NRC-CAA. Even though officially NRC is meant to act as a check against illegal immigration, there has been a growing belief that it is being used to marginalise the Muslims and strip them of their identity. Thus this fear of losing their home is one of the motivators for active participation of the Muslim women, but the origin for this high self-awareness among them also has several other reasons—one of the prominent one being the increasing rate of education among the women of the Muslim community.
The All India Survey on Higher Education (AISHE) report for 2017-2018 indicates the same. The enrolment rate in schools for Muslim girls has increased by 46%. The same survey also indicates that in the same period, 49% of Muslims that were enrolled in higher education were women. Such data suggest that anti-NRC-CAA protests acted as a portal to show the sociological changes that Muslim women were going through and that the belief that Muslim women are uneducated or illiterate is far from the truth.
Muslim women’s participation in these political movements has not only incorporated a sense of novelty to these movements but also helped women to recognise the strength within them and that they too can be the ones that lead change. It has also challenged several social constructs of patriarchy and provided a more prominent place for women in India’s socio-political fabric.
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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.