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Grade 10Wave Optics

One of the early attempts to measure the speed of light was to measure the position of a star located at right angles to the path of the Earth in its orbit (Fig). (a) If the measured angle 8 is found to be between 89°59'39.3/1 and 89°59'39.4, then what would be the range of values for the speed of light? (b) Describe a reasonable method for measuring this angle to
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WxsnLFFQiAQFxeXOQ1aW1uvXbu22BJ0enpaQ0MDBoN5eHgQCARwbkQikXx8fGg02rVr18bHxx0cHNzc3Hx8fEgkUltbG4lEGhgYuHz5MhKJLCgokJCQGBgYuHjxIhqNdnV1xWKxLS0tRUVFtra2oFEfjUYvxwC4HD6iD29v7x07dghmKPPJz88fHh6e/Q6LxZKRkZltiGQwGJmZmZ9kvFoMOp2+ZcuWBf2fR0ZGFvNIAp8vPT09s1dSTCazpqZmRtlsNruxsbGurg40xL148QLc9ykrKxsdHX3z5g3oMdTe3p6bmwsaAwcGBkpLS0F91NfXL8eGtBw+oo+nT5/O3OWEgcnJyS+//BLctVpxysrKjIyMPtWgMjExYWVl9VFDjogi1Pb1+UxOTv773/9ezhYxd8Cp9yfB4XAaGxtF0XbOCyKmj6mpqY0bN6ampq54zxMTE3OeZWsAIqcPAAAMDAx4dAL6JOLj43V0dFZkHvM5IXr6QKPRXExqS4PD4WhqamIwGAFEXokWoqcPXV1dW1vble3z7du3EhISq7WGFGZETx8BAQHnz59f2T6vX7/+ww8/rMVUzkf09LHicDicAwcOzOyYrDGbNX0AfX1933zzzb1791Z7IMKI6OmjsLBQS0trBcNcIyMjpaWlZ7zV15iN6Onjxo0bYmJiK/jf+e7dO4HF3YscoqePsrKy3bt3z8QjrcFXRE8flZWVu3fvfv369Yr0dvXq1du3b69IV58loqePioqKHTt2gPF8y2f79u3zN/TXmEH09FFbW7tv374V0cfAwICkpKRgAhVFFNHTx+TkpI6OzpMnT5bf1alTpzZv3sy9zd/c4i56+ujr68Niscv0KQQAgMlk/vrrr8bGxtybMRiM9PT09+/fL/N0Ioro6WOlaG5uFhMTA2M1uFNTU6OtrX369Om/oQOASOpjYmJi+fYxW1vbrVu3znZu5UJCQsIXX3yxa9euc+fO8SKpzwaR1IednZ2np+cyOwkKCgoKCuK9fUREhJiY2M8//ywuLq6srBwbG1tXVzeTF+RzRST1YW1tjUQiBX9eGo32xRdf/Pbbbxs3bvzxxx+//vprPT29z9swL5L6cHR0XKY+qqurl5ABcWxsbNeuXf/7v/97+PDhPXv2fPvtt5cuXfpcPU9BRFIfRCJxmfqAQCABAQFLODArK+vLL7/cuHHjN998A+Zk+7wRSX2cOXNmJnvkEmhtbf3555/BbIJLgEqliomJodHorKwsb2/vz3tRI5L66Ozs/OGHH968efPRli0tLY8fP87Ly3vy5EleXl59fT0AAJcvXz5w4MCS5w0NDQ2HDx8GA6afPHkSGBjIy0hEFJHUR0dHh5iY2OPHj7k3YzKZKioqFAolODj4+PHjrq6unp6e/v7+8vLyMjIyy0nZM9tc9uLFC1lZ2YcPHy65N2FGJPXR39+PQCA+mhmmpqZGSUkpMzNzYmKCwWDExcWlpqZev379+PHjZmZmAQEB165dW0JA1Hyqqqq0tLQ+S/dmkdQHj9jb25uZmTU3NwcEBNy4cQPMwjM4OPjixYu8vLyoqCgMBmNjY1NUVLT8NUhDQwMSiVytLB38Q1T10dvby/2nPzExYWNjc/Xq1ezs7IKCgpSUlNDQ0MTERDC8FkyeXFVVlZ6ejsfjw8LCuGSA4ZGamho0Gv2ZWVdFUh/Dw8OKiorc7+fl5eVgZpEPHz5cunQpNTW1pKSkqKgoPz8/NDS0vLy8uLi4qqrqyZMn9+/fh8PhK5KApa6ubqW6EhJEUh/9/f2bNm3iPiWMj4+f7djx7t27kpKSR48enTt3rqenJysr68KFC9euXcvLy3v//v2ePXtWqiBEQUGBurr6aqVjWHFEVR9btmzhktB4bGxMV1e3qqpqzvtdXV319fXp6ek0Gq2tra2pqSkhISEqKopMJq9gktP8/PzAwMDPI+ODSOpjcnKSQqEkJiYu1uDVq1eOjo4f7ae2tvbKlSvKysorm2cXAABvb29zc/OV7XNVEEl9AAAQGRkpLi6+2KehoaGnT5/msSsajfbixYuVGdb/MTExwY84csEjqvoICQnZunXrgh+Nj4+TyeT5D5cFqaysVFNT471UFO9MTEwgkUguie1EAlHVh5+f37///e8FP6qpqUEgEDzOEP/444+lbdTxQn19vb6+Ppi/VUQRVX0kJycTCIQFPzp79mxISAiP/SAQCL4WgkxMTPTx8eFf//xGVPXBZbmhoqLC4119ZGTE3Nyc3w5gBAIhIyODr6fgH6KqDy5ERkbq6ek1Nzd/tOWVK1dcXV35PZ76+nosFsuPKY4AEFV9XLlyRU9Pb8GPpqenjx07ZmBgcOnSJS5hmGw2m0wmC8bWefHiRRsbGwGcaMURVX0kJSX99NNPC05CKysrMRhMf3//tWvXTExMfHx86HT6/GqP3d3d+vr6/KuzPJvJyUk1NTX+1ezlH6Kqj4mJiZ07dy5o5AgPDwdL1QAAMDIyUl5e7uHhAWb4v3DhQk1NTXd3d09PT3x8vJeXl8AGnJub6+joKHLOqqKqDwAAdu7cOT9AgcPhLOgaUltbe/v2bbDQgIODg7GxsYuLS0NDg6AGCwAAQKVSP+ojMjY2lpGRce/ePSFJhiba+pgpozHD48ePTU1NF8uVDgAAh8OJiIgAK1ULmIqKCnNzcy63kL6+PgqFcunSJTKZ/McffwhybIshwvrYvXv3fH3Ex8efO3eO+4EUCmVVPEanpqbs7Oy4rHU9PT2dnJwAAEhMTATLY6w6IqyPH374Yc4EgsVi+fj41NbWcjmqrKzM09NzZUtS8s6LFy+QSOSCZ29paZGSkqquru7p6UEgECkpKYIf3nxEWB/u7u5zUv/k5uaiUCjuR128eBEsbbZaYDCYW7duzX//9u3bGhoaubm5CQkJW7duXam6i8tEhPUxn4CAAC7VhgAAYLPZbm5uYOHB1eLJkydhYWHzjbYqKiphYWEAAJw/f97BwWE1hrYAIqyP4eHh2U6jfX19urq6YITLYtTV1RGJxNWNqJ6enj5+/Pj8hyCZTA4ODn716pWsrKyAF1ZcEGF9REVFQSCQmXI+RUVFYC0zLoecOXNm+fVQl8/du3dnLDQz9Pb22tragr6xqzKqBRFhfTx//vzrr7+eSXSZkJDA3SeIxWLh8Xiwhujq0tHRgcViwXp+Qo4I66O4uHjDhg2ggZzD4bi5uXHfk2tubjY1NV3BxMvLwc/PDyzhK+SItj6+++47UB+1tbU4HI77xCIvL291Vy6zefjwoUh4H4qwPkpKSr7++muwwvT58+ejoqK4t3d1deXR6VAA9PX16ejozBSKF1pEWB8vXrz44osvQdivYWVlx39ro6elBoVCC2a3lkcTEROFP3SzC+igqKhITE/vw4UNbWxsej+ceIHnv3j0rKyuh2j599eoVl9rhQoII66OlpcXW1nZsbOzSpUvcV60cDsfT0/PmzZuCGhpP9PT0YLFYHhMorhYirI8ZyGQyd9ebqakpIyMjIUz04+LisiKJoPmHaOuDzWYPDAzA4XAwd8Ni5OTkeHt7C2xUvBMfHy/kqxjR1geVSnVzc7tx44aPjw+XuaePj49wVgDq7OxEo9HCnEFVtPVhamqKw+HAPFLGxsZJSUnz6zq0tbW5u7v39PSsygi5MzExQSKRhNm1XbT1gcPhyGTygwcPQkNDe3t7ExISaDTayZMnIyIiHj16xOFwOBzO48eP3dzcVnuki+Lo6Hj58uXVHsWiiLY+rKys7Ozsjh8//uDBg5k3X758mZWVhcfjLSwsTE1NXV1d6XT6Kg6SO3fu3Dlz5sxqj2JRRFsfZDL58OHDfn5+C65Njh8/npiYKFQ2j/ncvn07MjJytUexKKKtDzs7OzExsQU9Oqenp52cnITHkWIxqqurIRDI6roscUG09eHh4fGvf/2roqJi/kdPnz51d3cX5qXBDK6urtzdmlYR0dZHTU0Nlyj+s2fPCng8S8PV1bWxsXG1R7Ewoq2PoqKiiIiI+e+zWCxDQ8MVzwrEJzw9PYVq43A2oq0PFxeXBfON1tXVkclkwY9naaDRaKGdooqwPtrb20NCQha0rEdERPj6+gp+SEvjxIkTJiYmqz2KhRFhfZSVlampqc3P4DA1NeXu7r5SBbYFQHt7u3BuDwEirQ8AABwcHJBI5JkzZ+rq6mYcS+l0uqGh4Yxfu/DT2Nh4/Pjx1R7Fwoi2PpycnOh0ekFBQUBAgIODQ1RU1PXr16OiooQkOJFH6uvrqVTqao9iYURJH5OTk93d3dnZ2TExMc7Oztra2nZ2djOfDg0NPXz4cN26dQcOHAgKCnr48GF/fz/3cBghob6+XgBprpaGCOhjfHw8Pz/f29tbSkpKQUEBg8FgsdiLFy9u27ZtjuV0cnLSzMzM29ubRCKZmJjA4XA5ObmgoKCcnBxhtrKv6WOJlJaWurm5QSAQMTExRUXFjIyMt2/fgh8VFRUdPXp0To2wtLS01NRUAAD6+/srKyurq6tzcnL8/f0PHDigr68P7v43NjYK201lTR+fTHp6uomJiYyMzJYtW0JDQ/38/Oa4H79+/XrTpk0qKipBQUFgAtqhoSF9ff2mpqaGhgYNDY0jR464urqC3nssFqugoIBGo8nLy4uJiWloaKSnp6/OhS3Emj4+gfr6eikpKRkZmfPnz09OTv75559paWm3bt0yMTEBbx59fX3p6ekdHR2vXr2Sk5M7fPjwjh07fvrpp61btx47dmxycrK4uNjJycnV1RUCgWzYsEFbW3um88HBwQsXLmzdulVMTExGRubBgwcrUl9smazpgyeGh4dpNJqSklJQUNDo6CidTg8MDEShUPb29kePHj148ODNmzfd3NzKyspOnjwZHx+fkpKSlZV148aN9PR0b2/v3bt3g5mK+/v7PTw8/P39USgUBAKRlJS8du3a4ODgzIkGBwdPnTr11VdfrV+/PjExsa+vb/UuGgDW9MELd+/e/fHHH0kkEhhvXVJSsn37dm1tbWVlZS8vLzgcrqCgYGhoCIFA4uLi2trawsLCgoODwXnru3fvbGxsfv/998uXL4MbGWw2Oz4+nkKheHp6/v777/v27Xv58iUAAFlZWdHR0WD6nnfv3iEQCENDQx8fn+vXry+nnOUyWdMHN9hsdkxMjKys7NWrVwEA6OzsPHfuXGhoaFFRkYWFBRQKNTU1dXR0NDY2xmKxcDjc1NTUw8MjJSWFRCIRCITjx49nZGTExMT09PTA4XAEAlFQUACKzNTU1MnJydPT89ixY6D/aUlJCY1Gm5nKTE5OXrhw4ddff3Vzc0tKSlqtUJQ1+9iisFgsNBqtqqo648gzNTU1OjoKLjFoNNqRI0esrKxOnDihra2NxWLt7e1dXFw0NDScnZ03b96spaXl6Ojo6OjY3t7OYDBcXV3379/v4OBQUFAAep7a2trCYDAuv87GxsaMjAwMBrN3714EAsFLVu4Vp62tTZCZWD+J1dTH8PCwoaGhlZXVgjkXurq6sFistbU16KS+Z88eDAZDIpH09PTMzc39/f2RSGRoaCiLxaqurmYwGLm5uX/++WdERMTszH9tbW3e3t4IBGKxAJnu7u6TJ08+f/7c0NBQTExMV1cXDOgVJNnZ2SQSScAn5ZFV0weTyYRAIGQyeTEXr5SUFE1NTSqVCoFA7O3tVVVVJSQkCATCkSNHvL29f/rppzl5dnA4HAaDKSkpGRwcnFO6cGBggEvCwry8PF9f3/v375uYmIiLi0MgkPb29hW5Rh7B4XCrko+VF1ZHH4ODg4qKitxLxHl7e8Ph8OTkZCgUevDgQXt7e1tbWxcXFygUKiEhsWHDhjmeQYaGhvv37w8NDS0uLqbRaJ8UVFJTU9Pf39/c3Lxz504xMTELC4slXtiScHNzE/xNi0dWRx9oNNre3p5Lg9bWVgMDAxUVFXBm6uPjg0Khjh07RqPR1NTUMBhMeHi4jIzMoUOHvL29x8bGxsfHo6OjN27cuHfvXgqFQqFQTExMlv/ppsoAABd4SURBVPCle3h4/POf/1RRUent7RXYdLW5uVlIshrNZxX0kZqaqqGhwb1NeXl5TEwMCoXatWtXaGhoXFwcFAqVlZXF4XCqqqpubm4REREmJiYEAmHHjh0FBQU5OTny8vJmZmYuLi4xMTFWVlZYLJZCoYSFhX1qWPazZ8/ExMROnz595coVoXX7ExiC1kdpaem2bdsKCwu5N4uOjoZAIMbGxurq6nZ2dra2tpaWls7OzlZWVigUSktLy8TEZO/evREREVpaWtnZ2bdu3Tp06BCRSIRCoYaGhoqKivb29mQyOSYm5lMTzTY1NampqUlISLx+/bq0tHQZ1/o5IFB9jI2NKSkpfTScsKioSEFBQV9f39bW1sTExNjY2NDQ8MiRI6ampgYGBiYmJkgkMiwsjEql2tvbEwgEU1NTEomEQqFQKJS2tranp+f169dfvnxJp9Ozs7OPHj2amZnJYrF4HGRKSgoajdbQ0FBVVV2VNO1ChUD1ERUVhcFguLeZnp4GNaGnp6evr+/o6AiHw93c3FxdXSkUChQKhUKhcDjcw8MDhUIZGBgQCAQDAwM4HG5lZUUmk42NjUNCQrS0tN6/fw8AQGlp6blz54hEYktLC4+DZLFYUCjUz8/PzMzs0KFDjx8/XuZVizSC00d5efmePXu4u4VOTk5GRESgUCh9fX0YDGZjYxMdHe3u7h4TE6Ouru7j42NkZGRtbe3n5ycnJ3fz5s3AwMC9e/ceOHAAhULZ2NgQiUQHB4d//OMf1tbWJBKpqqpqZvLxSf4fPT09ZDK5rKxMWloaiUQKc3w9vxGcPoyMjD66bnz79u3XX3+toaHh6+traWnp5eUVHh5uZGS0adMmZWVlIpEoKSmJwWBiY2OtrKx0dHTU1dUtLS0tLS1NTU2PHz/u4+Pz7bffOjs7M5nMe/fucc9Ixp2RkZGCggJlZeXNmzdDoVChymksSASkj4qKig0bNnz0Jl9bW/vtt98ePHiQSCQ6OzvLycnJyspKSko6OTnBYDAUCqWjo2NmZkaj0Tw8PFRUVAgEwtmzZ9PS0sApiKam5gpuZLx580ZeXv6///u/dXV13dzcRCJUc8URkD709fVn+4ouxl9//bV+/XrQEkqhUCQlJW1tbYODg3V1dXV0dGg0GgaDMTQ0VFBQOHXqVFFRkaamJhQKDQkJQaPRv/76K5VKXcHCLi0tLebm5tLS0rq6ukZGRn/Puaog9NHe3i4jI1NXV/fRll1dXYqKioaGhuBWrZaWFolEQiAQTk5OWCzW0NAQg8FoamricDgnJyclJSUzMzM3Nzc0Gi0jI2NhYbGyMQ1sNhsGg+np6X311VdaWlpCniiMTwhCH5cuXUIikTw2joyMVFVVhcPhYIIXdXV1a2trPB6vpKSkpaUFh8MJBIKmpiYMBrO1tXVzcwNFo6SkFBAQsOIjP3PmDI1G09DQgEAgBw8eFPC+jDDAd32MjIzIy8vzvkoMDQ2FwWA4HI5CoRgYGCgpKcFgMAkJCSUlJTU1NSKRiEQiMRgMHo9XV1eHQCBoNBqFQklISHzU5rYEiESivb29u7v79u3bqVSq0O7C8w++66Ozs3PXrl1NTU08tg8JCcnNzXVycpKUlDQ3NyeTybq6uvv37wczRe3duxe0m6mrq+vo6CgqKuLxeDs7O35MDsBSqUpKSt7e3r/99hsEAtHX11/xswg5fNcHlUrF4/G8tw8MDLx37x4ej9fU1AwMDHRzc5OSkoqMjPTz81NUVExPT/fz8wsMDAwJCdm8efNXX31lbm7OPx/jsLCwQ4cOBQYGHj58+Jtvvtm0adOzZ8/4dC7hhO/6MDAw+KT8axkZGfb29oGBgT///HNcXNz169elpaV/+OEHGxubP//8EwCAP/74o7y8fGpqisFgBAUFIRAIvo0dCAwMlJOTg8FgBw4c0NbW1tPTi4uL49/phBD+6qO0tHTPnj2ftHnNYrEcHBzKy8t37drl5eV19OhRFxeXo0eP+vv7z2/c19cnIyPDv5VneHi4pqbmqVOnfdiv9v/vuu5MnT2pra88Jyvq84a8+srKy1q9fPzIywvshLBbr999/r6qqsrGxAQ0hNjY2EhISC+aBGR8fP3LkCP+2SOrr6+Xk5FxdXb28vHbu3Hnw4EFtbe3Vqp27KvBXHxkZGSEhIZ8azzg5OTk2NpaTk6OmpoZGoyUlJbdu3ToxMbFg49evX/M1+Z+VlRUEAnFxcfntt9+2bdtmYWEhtLnkeIHNZn/StgN/9UGlUhMSEpZ2bFlZmYaGhpGRkZKS0rFjx2b/akE72ODgYGZmZnp6emFhIf9+0/b29lgs1t/fX0FBQVZWFo1GL5jxTFQYHR11dHR8/Pgxj/E+/NWHlJTUkj1v6XS6uLg4iURCIpG//PLLzP3j0qVLUCh0bGyMzWYPDw83NzeHhITY2NjcuXOHdivskgYGBRCKRRCKZmpoqKChYW1t7enqu+FkExsDAAJlMPn36dEBAQF5e3kfb81cfu3fvTkxMXPLhmZmZkpKSurq6Xl5eXl5epaWlz58/37p1q6ys7JxJYlFRUWZm5sjISGtra1ZW1kyY//KpqKg4fPjw77//vnnzZmlp6aNHj4r0/aOnpwespUSn00+ePHn69Om//vqLS3s+6mNqamrjxo3LTOVTXl7u6+vr6emJRCIVFRUhEMi//vWv+TVsi4uLW1tbORzOixcvgoKCiouL2Wz2iuT8mJiYCAkJwWKxYOy/nJyc0Ma68UJvby8YpQxy584dLy8vX1/fxSYlfNTHwMAAGo0eGBhYfleNjY1TU1P+/v4aGhrm5uZpaWlpaWmz3Xa6urrmbM6BxRuWf2oAAKampnR0dLBY7DfffJOQkFBWViaEpah4pL+/f7Y+AABgsVgPHz4MCAhYME05H/XR19dnZWW1gjNHBoMRExNjaWmpo6NjampKpVIFlhWourqaTCZ/8803ycnJOTk5paWlb968qaqqqqysLCsrq62traysBJPPNDY2VlVV1dbWNjU1tbW1NTc3g/+2trZ2dHTU1ta2t7eDNRWbmpo6Ozs7OjpaW1s7Ozt7e3s7OztbW1ubm5ubm5u7u7s7Ozvb2toaGxvfv3/f0tLS0tLS0NBAp9MbGhqqq6sbGxvpdDqdTv/rr7/AkVRVVdXU1NTX19fX19fW1tbV1Q0ODjKZzJaWls7Ozs7OTiaTuViuxObm5ri4OPAhPttexUd99Pf34/H4xdalS4PD4XR3d8fGxoLeyCvY80cpLCxct24djUbD4XBgmKeBgYGdnZ2JiYmhoaGRkZGOjg5oYwX3n5WUlAwMDMBdGzBfjaqqqrS0tLy8PBQKPXLkiIWFxbFjx44cOQKBQAwMDKSkpKSlpZWVlTEYjLy8vLKysp6enpmZmampqbq6OgKBQCKRBALB0NDQ0tIS9LMEHXURCIS+vj4cDtfX10ej0Xg8nkwmE4lEDAZz/vz5W7duOTk5BQUF+fn5hYaGxsfHc8kc3NbWpqGhMbuSMB/1wWKxtm3bxqcSr15eXhs2bJgjPjAf1fnz52cyaw8ODq7gDezXX39NSEgoKSl58+bN+/fvwd966//x/v178M22trY5/7a3tzc2NjY0NHR0dIC/77q6uoGBATqdXlNT09LS0tTUVF5eXllZ2dzc3NfX9+7du+rq6rdv33Z0dAwODjY3N3d1dXV1dY2NjY2Ojo6OjjKZzLGxMQaDwWAwmEwmk8kcHx9nMpkMBmN0dHR8fHxiYmJsbKy/v7+3t3dkZGRoaGhoaKipqYlOp7u7uy94dXV1dWAeg9lufvxdv+zatSs+Pp4fPdfV1RkYGMTExLS3t4Mz8KtXr27btu3q1atRUVEmJibgHMXW1vbixYsrcg8bHR21sLDo6emZnWpG5BgaGpqfWXpoaCgmJsbHx+fevXtzPuKvPvbu3cu/yGM2mx0aGmpubn7v3r3o6GhlZWUEAkGhUKSkpMzMzLS1teXl5Y2MjIyMjNzc3Ja/78pgMLgHDIsEc9YvAADcvHmTRqPdvXuXyWTOb89ffSgrK8/OtsAPwHuDjY0NFArF4XBgsK6cnJypqWlSUhIejzczM4PD4b/99ltWVhYAAG1tbUvLX9ja2rpYLZGVpby8vKqqik+d9/b2zng51dTUBAUFubq6cjEX8VcfaWlpsbGxfD0FyNmzZ8XFxX/77bfw8HAVFZX//M//pFKpKSkpNjY2f/zxh7e3d2RkZEZGRlFRER6PDwwMXMKkxMfHZ+/evSs+8sTExODg4PBZqKuri4mJEYnE4ODg2XX1VgTw/sFisfLz8319fedbkubAX31kZmZKSEgsJw6FR0AfdyMjIycnpy1btvz888/+/v4nT56UlpY2MTHR09OTkpKysrKCQqEkEklcXHz+g/aj+Pr6YrHYFR95eXl5fn5+4SzAwI4rV67k5+fz4tT9SbDZ7AsXLiAQiLq6Ol5+JPzVR3l5+c6dOxd8sC0BNpu9YBhtRkaGoqJicHAwHA4nkUhwONzIyIhAICCRSDQabWtra2BggEajIRAIFAo1MTHB4/GPHz8eHx/nPSfd9PS0nZ2dYMK1+R2u19DQwN2mPhv+6mN6ehqFQt25c2dFehseHgZT4c6msLBQSkpKX18fi8Wi0WgdHR13d3fQLAGFQvF4PIFA0NbWBn+UMBgMCoXGxcXdvXs3NDQUhUIVFhbm5eU9ePCAe5bLzs7O//mf/3n16tWKXIgIwXf/QjBdOv/6v3Dhgrm5OQwGs7KyQqPRav8HBAJxc3NTUFAgEol6enpOTk7ff/89gUAAw3SjoqKMjY0JBIKSkpK1tbWCgoKKisqZM2cW8w179OgREonkX82Q0tJSLy+vmSScAQEBQlLRku/6aGhoUFBQ4F+ildu3bxsbGzs6OpqZmenp6R07dszY2FhbW1tVVdXa2lpeXt7d3R2Px0tJSWEwGD09PTgcjsViYTAYGLugoKBgY2NDIBCMjY23bt0KurjOx9jY2MXFhU+XAABAaWnp119/bWlpyWQyDx48+MsvvwhJ/Rq+62NgYEBSUrKsrIxP/Ts4OIBpICAQCAKBWLduXXh4OI1GQyAQaDTa0tJSSUlJT0/vxIkTjo6OOjo6OBxu7969urq6MBgMgUCEhYV5eHicOHECzCMCJk6dw8jIiI6OTmVlJZ8uAWTPnj1SUlKNjY0//vgjX7X4SQgifi4sLIxIJPKpc3DJisPhTE1NjY2NLS0tJSUlDxw44OrqqqCgMBPSHR4e7uXl5enpKS4uLi8vHxkZCYVCjYyMnj9/fuPGjbi4OCkpqcVcVZKTk83Nzfk0/hkCAgK+++671NTU77//HkxeIgwIQh/Z2dnff/89/9K93blzR0lJ6dy5c1paWmg0WkxM7JdffvHy8sJisWD69nXr1qHR6ODgYCQSKS0tDbotgllGnJycIiIiLl++rK+vv+AtfXp6et++fcnJyXwa/Ay9vb2//PKLuLj4oUOHhMcFWkDx+5qamottCy0fFosFg8HIZDIMBtPR0TE3Nz9y5Iienh6RSCQSiZqamtbW1qGhodra2seOHVNSUtLW1qbRaHZ2dn5+frq6uhAIBIlELraPWFVVJSMjI5hEdQQCQUxM7ObNmwI4F48ISB8lJSU7duzo7u7mU/+ZmZnKyspQKFRVVdXZ2RmFQikpKdna2jo6Ourp6WGxWFlZWUtLy6NHjyKRSAsLC0tLSz09PRcXF2NjY3d3d2lp6cXGRiQSBVYq9fXr1zdv3lwpc9GKILj8QSgU6sSJE/zr387ODvSfcHBw8PX1BZ0h9PT08Hi8np6ekZERiUQCY66MjY0hEAgKhTIzM1NVVd2+fXt0dPSCfZaWlsrKyv6ds1wKNP+YhIQE/3aeAACIj4/fvHmzhYWFk5MTHA63sLBwcHAAoxNMTEykpKQQCISdnZ2hoSEMBgNfbNmyhUgkLmiWnZqagkAgS47P+DwQaP5CPz+/T4rVXgKdnZ0nTpzQ1dXV0tJSV1c/ceIEFotVUlICEx/euHHD2dlZS0tLVlb2woULP/3007Zt20pKShbsKjIy8sCBAyvr/yZyCFQfbDZbU1MzNzeXr2epqanZsGGDuLi4qqpqTEzM8ePH4XC4r6/vpk2bLCwsPD09HRwcXF1ddXV1HR0dr1y5smAnL168kJGRmfFD+9si6PzJOTk5+/fv52uIIp1O//bbb3fs2EEgEEgkEjjD2Ldvn5eXF3gXCQwMxGAwVCqVS2DwwYMHhcdItYqsQv71c+fOKSoq8q9/DAYjJibm5eV1+vRpJBL5008/ycjIKCsrP3nyRFtbGw6Ho9HoW7ducdm8dXFxgcPhnxRW/rmyOvUbLC0tF/SyXxEMDQ3FxcURCAQej9fW1nZ0dJSWlvb393dzczt06NCePXu4u8SGhYXJyMgIyfbYqrM6+uju7tbT06PRaCvec2Nj46FDh0CbOoVCQSKRbm5uGhoanp6eJBJp27ZtJ06c4BI1Ex0dLTBrmEiwavWjhoaGjIyMqFTqylazTk1N3bBhA2j+ioqKwmKxTk5O1tbWampqBgYG3J0do6Ojd+/e/TdMUsiFVa4/Z2JisrJ5Ra9evQrWLXRwcCCTyaGhoVQq9c6dO35+fpmZmVwOjImJkZGR4d8+s4iyyvUrx8bGUCgUgUBYEdN7Q0ODkZGRurr6jh077O3tcThcUFDQzz//HBAQwP0uZWdnd+DAAd5rPPx9WP36t6OjozQaTUpKivccmIvh4OCgpKRUV1eHx+OdnZ3t7e1LS0tv375dUVGx2CFlZWUwGMzQ0FBoK8CtLquvD5AzZ84cPnw4JiZmOUH3ubm5X3311ZMnT86ePbtt27bU1FQujZlMZlRUlGD27kUXYdEHAACVlZUoFGrnzp3Xr19fWg9tbW2HDdivSV1eHwWDcIzuePXumoaGBRCLpdPrSzvU3QYj0AQAAh8MBK8+ZmpomJyd/0tKmq6vr6NGj586d09DQ4BJW9PDhQ1NT00OHDi0nsdHfB+HSB8jw8HBCQoKampq6unpSUtJM6XXugIl+EAhEbGzsfNPn9PR0ZmamiorK4cOHQ0NDRTfBi4ARRn2ATE9PZ2RkwGAwZWVla2vrtLS0hoaGj+6mVldX5+fng685HE57e/uLFy8oFAoajUYikWslSz8V4dXHDD09PcHBwWBxQjU1tdDQ0ODg4HPnziUkJFz8/0lKSrpx40ZUVJS/v39YWBgCgdi1a5e5uXlkZCT3undrLIYI6GOGnp6ex48fZ2ZmwuFwaWlpaWnpffv2Sc1i3759+/fvl5SUlJKSOnv27OPHj/kdlPDZI0r6mM+cxfDfs0QcXxFtfazBb9b0sQY31vSxBjfW9LEGN4RdH/39/Z6eno7/h7OzM/dEHXQ6vbq6GgCAiIiImpoaQQ3zs0XY9dHX1weFQu/fv5+dnf3gwYOcnBzu5ZuSk5N37do1OTm5d+9eXuoTrMEdYddHf3///KySly9ftrS0tLe3t7OzGxsbe/nyJYVC0dfXz8nJwePxYmJijx49gkKhUVFRHh4elpaW/M7Y9Bkj7PpgMplQKPTEiRP+/v5+fn7gXry7u3tFRcXAwAAWi62trW1ra1u/fv2JEycYDEZcXBwGg2Eymbt27dLR0enp6VFWVqZSqat9HaKKsOsDdDB78uTJ06dPnz59CpYiLCwsvHjxYmpqqqysbFtbW3l5ORqNBtsnJSWB5TIPHjwI1qXLzc11dXVdvSsQbYRdH7W1tXNyy7x///7IkSOxsbGVlZXu7u4tLS1ZWVkeHh7gp4mJiXZ2dgAAyMnJgfOPV69eiXTFltVF2PUxMDCgqqoaFxd37ty5c+fOxcfHl5WV7d279/nz54WFhb/88suzZ89evnxJIpHA9gkJCTgcDnQUys7OBgDg5s2ba8+XJSPs+gAAIDo62sHBwcnJydHRkUqlDg4OPnjwICIiIjU1NTg4+PTp09XV1TM1vz58+GBgYFBUVBQSEgLmXE9NTT158uSqXoEIIwL64A4vqZjW9u2WjMjrYw2+sqaPNbjx/wDTaW7b9T9agQAAAABJRU5ErkJggg==
the above accuracy.

Profile image of Dawood
9 Years agoGrade 10
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1 Answer

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ApprovedApproved Tutor Answer1 Year ago

To tackle the question about measuring the speed of light using the position of a star, we need to break it down into two parts: calculating the range of values for the speed of light based on the given angle and discussing a method for accurately measuring that angle.

Calculating the Speed of Light

First, let’s consider the relationship between the angle measured and the speed of light. The phenomenon you're referring to is likely based on the concept of light deflection due to the Earth's motion. When observing a star from Earth, the position of the star appears slightly shifted due to the finite speed of light and the motion of the Earth in its orbit.

Given the angle θ is between 89°59'39.3" and 89°59'39.4", we can convert these angles into decimal degrees for easier calculations:

  • 89°59'39.3" = 89 + (59/60) + (39.3/3600) = 89.99425°
  • 89°59'39.4" = 89 + (59/60) + (39.4/3600) = 89.99439°

Next, we can use the small angle approximation in astronomy, where the angle in radians (θ) can be related to the distance (d) and the speed of light (c). The formula we can use is:

c = d / t

Where:

  • c = speed of light
  • d = distance to the star (which can be considered constant for this calculation)
  • t = time taken for light to travel that distance, which is influenced by the angle θ.

To find the range of values for the speed of light, we need to consider the time difference caused by the angle. The difference in angle (Δθ) is:

Δθ = 89.99439° - 89.99425° = 0.00014°

Now, converting this angle into radians:

Δθ (in radians) = 0.00014° × (π/180) ≈ 2.44 × 10^-6 radians

Assuming a distance to the star (d) is approximately 4.24 light-years (the distance to Proxima Centauri, for example), we can calculate the time difference (t) using:

t = d × Δθ / c

However, since we are looking for the speed of light, we can rearrange this to find c:

c = d / t

Substituting the values will give us a range for the speed of light based on the angle measured. The exact calculations will depend on the distance to the star used in your experiment.

Measuring the Angle Accurately

Now, let’s discuss how to measure the angle with the required precision. A reasonable method would involve using a high-precision telescope equipped with a digital angle measuring device, such as a theodolite or an astrolabe. Here’s a step-by-step approach:

  • Calibration: Ensure the telescope is properly calibrated to eliminate any systematic errors.
  • Observation: Point the telescope at the star and lock the position. This should be done at a time when the star is at its highest point in the sky (culmination) to minimize atmospheric distortion.
  • Digital Measurement: Use a digital readout to measure the angle. Digital devices can provide readings to a fraction of a second, which is crucial for achieving the required accuracy.
  • Multiple Readings: Take multiple measurements over a period to account for any fluctuations in the atmosphere or instrument stability. Averaging these readings will help improve accuracy.
  • Data Analysis: After collecting the data, analyze it to determine the average angle and its uncertainty. This will help in calculating the speed of light with the desired precision.

By following this method, you can achieve the accuracy needed to measure the angle and subsequently calculate the speed of light based on your observations. This approach not only enhances precision but also ensures that the results are reliable and reproducible.