Embedded newform data - 1521.4.a.y.1.3

Formats: - HTML - YAML - JSON - 2023-12-09T11:55:08.500065

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 24336, 'analytic_conductor': 89.74190511873148, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [13, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1521, 1, [677, 847], [1, 1]], 'cm_discs': [-39], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 8112, 'field_disc_factorization': [[2, 4], [3, 1], [13, 2]], 'field_poly': [3, 0, -5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [243, 0, -32, 0, 1]], [5, [34992, 0, -500, 0, 1]], [7, [0, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391124002289, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 39, 4, -1, 2, -39], [1, 1, 13, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1521.4.a.y', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'minimal_twist': '117.4.b.c', 'nf_label': '4.4.8112.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}+(8-\\beta _{2})q^{4}+(2\\beta _{1}-\\beta _{3})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.1.d1', 'self_twist_discs': [-39], 'self_twist_type': 1, 'space_label': '1521.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 720056639438426618, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.628', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '169.455', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8842.114', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.886', 'prec': 17}, 'traces': [4, 0, 0, 32, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 476, 0, 0, 500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -884, 0, 0, -1808, 0, 0, 0, 0, 0, -1372, 0, 0, 0, 0, 0, -3232, 0, 0, 0, 0, 0, 0, 0, 0, -1632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2924, 0, 0, 0, 0, 0, 2756, 0, 0, 0, 0, 0, -5140, 0, 0, 0, 0, 0, 6392, 0, 0, -3392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10252, 0, 0, 5324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1360, 0, 0, -9476, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3736, 0, 0, 5916, 0, 0, 0, 0, 0, 12700, 0, 0, 0, 0, 0, -14464, 0, 0, 0, 0, 0, 13148, 0, 0, -17720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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[0.0, 0.0], [-1.3913375382538373, 0.0], [0.0, 0.0], [0.46026561202307725, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.4490100613554224, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4689896320933558, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.194683005839382, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9285212354671144, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.040931804808109, 0.0], [1.0211361744123715, 0.0], [0.0, 0.0], [0.4183490207380279, 0.0], [-0.8553871109553236, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7985124852054621, 0.0], [0.0, 0.0], [-1.3612656937136616, 0.0], [1.3581328794386764, 0.0]], 'angles': [-0.143087890528103, None, -0.1827240775500919, -0.25, -0.29527530237870214, None, -0.25, -0.25, -0.25, -0.25, -0.25, -0.25, -0.18882085539938812, -0.39798326568556186, -0.48238842705341023, -0.25, -0.3604017182113028, -0.020889893248449528, -0.25, 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-0.21646116433364795, -0.07205423552298823, -0.36914754373111297], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -2.074313293051943, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391124002289, 'label': '1521.4.a.y.1.3', 'level': 1521, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[3, -1], [13, -1]], 57, 12], [[[3, -1], [13, 1]], 54, 18], [[[3, 1], [13, -1]], 36, 4], [[[3, 1], [13, 1]], 41, 6]], 'ALdims': [41, 36, 54, 57], 'Nk2': 24336, 'analytic_conductor': 89.74190511873148, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1521, 1, [677, 847], [1, 1]], 'conrey_index': 1, 'cusp_dim': 518, 'dim': 188, 'eis_dim': 56, 'eis_new_dim': 11, 'hecke_cutter_primes': [2, 5, 7], 'hecke_orbit_code': 67110385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 8, 8, 9, 9, 9, 9, 9, 9, 10, 12, 18, 18], 'label': '1521.4.a', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'mf_dim': 574, 'mf_new_dim': 199, 'num_forms': 40, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 188, 'sturm_bound': 728, 'trace_bound': 17, 'trace_display': [0, 0, 6, -22], 'traces': [188, 0, 0, 718, 6, 0, -22, 0, 0, 90, -42, 0, 0, -86, 0, 2658, 34, 0, 106, -192, 0, -64, -80, 0, 3958, 0, 0, -728, 356, 0, 422, -180, 0, 184, 388, 0, -188, 1146, 0, 1502, 402, 0, 6, -600, 0, 1996, 282, 0, 8648, -144, 0, 0, -980, 0, -404, -784, 0, 1172, -1734, 0, -1906, -638, 0, 6636, 0, 0, -1298, 3120, 0, 3388, -1098, 0, 680, 3364, 0, 2112, 2852, 0, 624, -1392, 0, -498, -1422, 0, 712, 5004, 0, -768, -534, 0, 0, -2052, 0, -5110, -3852, 0, -428, -5424, 0, 9524, 1124, 0, -2288, 0, 0, 3788, 590, 0, -2880, -6156, 0, -11568, 7470, 0, -2820, 4724, 0, -282, -6084, 0, 20034, 1848, 0, 5840, 9552, 0, -10860, -2784, 0, 0, -578, 0, -3392, -8822, 0, 9368, -5226, 0, -10094, 2766, 0, 642, 0, 0, 7136, 4270, 0, -7460, -1830, 0, -6630, 17274, 0, 1940, 8340, 0, -2578, -11244, 0, 24678, 2316, 0, 6210, 22428, 0, 2492, -1278, 0, 0, 8562, 0, -3500, 798, 0, -66, -14592, 0, -7488, 5226, 0, 3030, 0, 0, 26796, 12942, 0, 7344, 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-535576, -249090, 0, -1376264, -3084124, 0, -149310, 0, 0, -739760, 211648, 0, -1398088, -269814, 0, -172150, 1437016, 0, 347920, -1009836, 0, -242646, -320544, 0, 15904, 435468, 0, -190344, 657120, 0, -1297182, 793554, 0, 0, -316182, 0, -2709574, 1102444, 0, 280104, -499440, 0, 567960, 266400, 0, -259376, 0, 0, -112416, 768884, 0, -771516, 342060, 0, -561992, 830906, 0, 477592, -1580742, 0, -160160, -195972, 0, 606606, -1274256, 0, 2078900, 161256, 0, 666200, -361968, 0, 0, -352836, 0, 1036304, 1250726, 0, -31696, 213708, 0, 24916, 457704, 0, -242102, 0, 0, 1516836, 413372, 0, -333124, -1404162, 0, -369748, -386440, 0, 443364, -341530, 0, 279784, -999024, 0, 2130122, -177198, 0, -565560, 139200, 0, -845652, -607362, 0, 0, 1184410, 0, -478498, 649360, 0, 177828, -584616, 0, 1399628, -2357456, 0, 1155236, 0, 0, 1249800, 848472, 0, -820656, -69336, 0, -1838112, 288116, 0, -463964, 919808, 0, -693442, -134874, 0, 735306, -278544, 0, -1674108, 1053276, 0, -1949936, -565140, 0, 0, 1812500, 0, -365320, -1941322, 0, 2505772, -430920, 0, -2029168, 458298, 0, -666912, 0, 0, -209160, -2052492, 0, 863712, 77010, 0, 56252, 1904206, 0, -732024, 204822, 0, -1337494, -523212, 0, 1069730, 1103730, 0, 1055382, 623820, 0, 1508086, 756684, 0, 0, 29244, 0, 1757864, 113656, 0, 362612, -946824, 0, 783558, 190604, 0, 541666, 0, 0, -245116, 1456322, 0, 1737880, -264528, 0, -235680, -356104, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48554383
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391124002289, 'target_is_minimal': False, 'target_label': '1521.4.a.y.1.3', 'target_level': 1521, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48554384
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391124002289, 'target_is_minimal': False, 'target_label': '1521.4.a.y.1.2', 'target_level': 1521, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48554385
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 64, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326709, 'target_is_minimal': True, 'target_label': '117.4.b.c.64.2', 'target_level': 117, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48554386
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 64, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268041326709, 'target_is_minimal': True, 'target_label': '117.4.b.c.64.3', 'target_level': 117, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48554387
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391124002289, 'target_is_minimal': False, 'target_label': '1521.4.a.y.1.2', 'target_level': 1521, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 48554388
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 64, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268041326709, 'target_is_minimal': True, 'target_label': '117.4.b.c.64.3', 'target_level': 117, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '39.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48554389
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 64, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326709, 'target_is_minimal': True, 'target_label': '117.4.b.c.64.2', 'target_level': 117, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48554390
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 108086391124002289, 'source_is_minimal': False, 'source_label': '1521.4.a.y.1.3', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391124002289, 'target_is_minimal': False, 'target_label': '1521.4.a.y.1.3', 'target_level': 1521, 'twist_class_label': '117.4.b.c.64.2', 'twist_class_level': 117, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2010725
    {'charpoly_factorization': [[[243, 0, -32, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 2}
  • id: 2010726
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 3}
  • id: 2010727
    {'charpoly_factorization': [[[34992, 0, -500, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 5}
  • id: 2010728
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 7}
  • id: 2010729
    {'charpoly_factorization': [[[2056752, 0, -5324, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 11}
  • id: 2010730
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 13}
  • id: 2010731
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 17}
  • id: 2010732
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 19}
  • id: 2010733
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 23}
  • id: 2010734
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 29}
  • id: 2010735
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 31}
  • id: 2010736
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 37}
  • id: 2010737
    {'charpoly_factorization': [[[9184890672, 0, -275684, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 41}
  • id: 2010738
    {'charpoly_factorization': [[[452, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 43}
  • id: 2010739
    {'charpoly_factorization': [[[2077595568, 0, -415292, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 47}
  • id: 2010740
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 53}
  • id: 2010741
    {'charpoly_factorization': [[[163107544752, 0, -821516, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 59}
  • id: 2010742
    {'charpoly_factorization': [[[-892372, 0, 1], 2]], 'hecke_orbit_code': 108086391124002289, 'p': 61}
  • id: 2010743
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 67}
  • id: 2010744
    {'charpoly_factorization': [[[21709693872, 0, -1431644, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 71}
  • id: 2010745
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 73}
  • id: 2010746
    {'charpoly_factorization': [[[-174928, 0, 1], 2]], 'hecke_orbit_code': 108086391124002289, 'p': 79}
  • id: 2010747
    {'charpoly_factorization': [[[20406871728, 0, -2287148, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 83}
  • id: 2010748
    {'charpoly_factorization': [[[67381252272, 0, -2819876, 0, 1], 1]], 'hecke_orbit_code': 108086391124002289, 'p': 89}
  • id: 2010749
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391124002289, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 25, 'label': '1521.4.a.y', 'level': 1521, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 258401000
    {'hecke_orbit_code': 108086391124002289, 'n': 1, 'trace_an': 4}
  • id: 258401001
    {'hecke_orbit_code': 108086391124002289, 'n': 2, 'trace_an': 0}
  • id: 258401002
    {'hecke_orbit_code': 108086391124002289, 'n': 3, 'trace_an': 0}
  • id: 258401003
    {'hecke_orbit_code': 108086391124002289, 'n': 4, 'trace_an': 32}
  • id: 258401004
    {'hecke_orbit_code': 108086391124002289, 'n': 5, 'trace_an': 0}
  • id: 258401005
    {'hecke_orbit_code': 108086391124002289, 'n': 6, 'trace_an': 0}
  • id: 258401006
    {'hecke_orbit_code': 108086391124002289, 'n': 7, 'trace_an': 0}
  • id: 258401007
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    {'hecke_orbit_code': 108086391124002289, 'n': 986, 'trace_an': 0}
  • id: 258401986
    {'hecke_orbit_code': 108086391124002289, 'n': 987, 'trace_an': 0}
  • id: 258401987
    {'hecke_orbit_code': 108086391124002289, 'n': 988, 'trace_an': 0}
  • id: 258401988
    {'hecke_orbit_code': 108086391124002289, 'n': 989, 'trace_an': 0}
  • id: 258401989
    {'hecke_orbit_code': 108086391124002289, 'n': 990, 'trace_an': 0}
  • id: 258401990
    {'hecke_orbit_code': 108086391124002289, 'n': 991, 'trace_an': -93088}
  • id: 258401991
    {'hecke_orbit_code': 108086391124002289, 'n': 992, 'trace_an': 0}
  • id: 258401992
    {'hecke_orbit_code': 108086391124002289, 'n': 993, 'trace_an': 0}
  • id: 258401993
    {'hecke_orbit_code': 108086391124002289, 'n': 994, 'trace_an': 0}
  • id: 258401994
    {'hecke_orbit_code': 108086391124002289, 'n': 995, 'trace_an': 0}
  • id: 258401995
    {'hecke_orbit_code': 108086391124002289, 'n': 996, 'trace_an': 0}
  • id: 258401996
    {'hecke_orbit_code': 108086391124002289, 'n': 997, 'trace_an': -86536}
  • id: 258401997
    {'hecke_orbit_code': 108086391124002289, 'n': 998, 'trace_an': 0}
  • id: 258401998
    {'hecke_orbit_code': 108086391124002289, 'n': 999, 'trace_an': 0}
  • id: 258401999
    {'hecke_orbit_code': 108086391124002289, 'n': 1000, 'trace_an': -69368}