Embedded newform data - 2160.4.a.bu.1.2

Formats: - HTML - YAML - JSON - 2024-04-24T22:59:33.618121

• 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': 34560, 'analytic_conductor': 127.44412561239973, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, 1]], 'atkin_lehner_string': '+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 139933525, 'field_disc_factorization': [[5, 2], [673, 1], [8317, 1]], 'field_poly': [3500, 200, -141, -1, 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': 0, 'hecke_cutters': [[7, [29484, -9792, -1067, 14, 1]], [11, [1807596, -45756, -3749, 4, 1]]], 'hecke_orbit': 47, 'hecke_orbit_code': 207165582926153840, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 72, 'hecke_ring_index_factorization': [[2, 3], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2160.4.a.bu', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '1080.4.a.o', 'prim_orbit_index': 1, 'qexp_display': 'q-5q^{5}+(-3+\\beta _{2})q^{7}+(-1+\\beta _{1}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2160.4.a', 'trace_display': [0, 0, -20, -14], 'trace_hash': 80894753363969261, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.756', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.521', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7.853', 'prec': 17}, {'__RealLiteral__': 0, 'data': '635.343', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [4, 0, 0, 0, -20, 0, -14, 0, 0, 0, -4, 0, 30, 0, 0, 0, 28, 0, -78, 0, 0, 0, 182, 0, 100, 0, 0, 0, -202, 0, 76, 0, 0, 0, 70, 0, 302, 0, 0, 0, -380, 0, -178, 0, 0, 0, 114, 0, 958, 0, 0, 0, 256, 0, 20, 0, 0, 0, -204, 0, 766, 0, 0, 0, -150, 0, -330, 0, 0, 0, -1060, 0, 1442, 0, 0, 0, -216, 0, -742, 0, 0, 0, -768, 0, -140, 0, 0, 0, 400, 0, -3066, 0, 0, 0, 390, 0, 3338, 0, 0, 0, -1070, 0, -1586, 0, 0, 0, -2000, 0, 1948, 0, 0, 0, -444, 0, -910, 0, 0, 0, -3520, 0, 2190, 0, 0, 0, -500, 0, -4704, 0, 0, 0, 168, 0, 6206, 0, 0, 0, -3164, 0, -1970, 0, 0, 0, -5250, 0, 1010, 0, 0, 0, -3026, 0, -5870, 0, 0, 0, -380, 0, -1240, 0, 0, 0, -5660, 0, -5184, 0, 0, 0, -60, 0, 9968, 0, 0, 0, -5084, 0, -350, 0, 0, 0, -5360, 0, 2942, 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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-0.08379577889751468, -0.2533816094448957, -0.19265606305710575, -0.19594270464657582, -0.35947699671524985, -0.25359854435915663, -0.2256094455150396], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.735550649938762, 'hecke_orbit': 47, 'hecke_orbit_code': 207165582926153840, 'label': '2160.4.a.bu.1.2', 'level': 2160, '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': [[[[2, 1], [3, -1], [5, 1]], 13, 4], [[[2, -1], [3, -1], [5, -1]], 11, 8], [[[2, 1], [3, -1], [5, -1]], 13, 4], [[[2, -1], [3, 1], [5, 1]], 11, 8], [[[2, -1], [3, 1], [5, -1]], 13, 8], [[[2, 1], [3, 1], [5, -1]], 11, 4], [[[2, 1], [3, 1], [5, 1]], 11, 4], [[[2, -1], [3, -1], [5, 1]], 13, 8]], 'ALdims': [11, 11, 13, 13, 11, 13, 13, 11], 'Nk2': 34560, 'analytic_conductor': 127.44412561239973, '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': [2160, 1, [271, 1621, 2081, 1297], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1260, 'dim': 96, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67111024, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4], 'label': '2160.4.a', 'level': 2160, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1332, 'mf_new_dim': 96, 'num_forms': 48, 'plus_dim': 50, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 1728, 'trace_bound': 11, 'trace_display': [0, 0, 0, 36], 'traces': [96, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 2400, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 4344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -456, 0, 0, 0, 0, 0, -2508, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -3588, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 2124, 0, 0, 0, 0, 0, 696, 0, 0, 0, 0, 0, -1140, 0, 0, 0, 0, 0, 12552, 0, 0, 0, 0, 0, -3144, 0, 0, 0, 0, 0, 2064, 0, 0, 0, 0, 0, -5268, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -9084, 0, 0, 0, 0, 0, 912, 0, 0, 0, 0, 0, 12396, 0, 0, 0, 0, 0, 21168, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 2184, 0, 0, 0, 0, 0, 2016, 0, 0, 0, 0, 0, -3048, 0, 0, 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0, 0, 0, 0, 0, 239760, 0, 0, 0, 0, 0, 350880, 0, 0, 0, 0, 0, 885456, 0, 0, 0, 0, 0, -1944480, 0, 0, 0, 0, 0, 470400, 0, 0, 0, 0, 0, -285660, 0, 0, 0, 0, 0, -123720, 0, 0, 0, 0, 0, -322560, 0, 0, 0, 0, 0, 274488, 0, 0, 0, 0, 0, -298332, 0, 0, 0, 0, 0, -81120, 0, 0, 0, 0, 0, 1294164, 0, 0, 0, 0, 0, -1010616, 0, 0, 0, 0, 0, 873792, 0, 0, 0, 0, 0, 78864, 0, 0, 0, 0, 0, -325080, 0, 0, 0, 0, 0, -91104, 0, 0, 0, 0, 0, -303192, 0, 0, 0, 0, 0, 668784, 0, 0, 0, 0, 0, -428640, 0, 0, 0, 0, 0, 19800, 0, 0, 0, 0, 0, 620712, 0, 0, 0, 0, 0, 486096, 0, 0, 0, 0, 0, 278100, 0, 0, 0, 0, 0, 762360, 0, 0, 0, 0, 0, -100080, 0, 0, 0, 0, 0, -1051872, 0, 0, 0, 0, 0, 695220, 0, 0, 0, 0, 0, 696648, 0, 0, 0, 0, 0, -1350780, 0, 0, 0, 0, 0, -191280, 0, 0, 0, 0, 0, -1328832, 0, 0, 0, 0, 0, -40656, 0, 0, 0, 0, 0, -200796, 0, 0, 0, 0, 0, -150288, 0, 0, 0, 0, 0, 501420, 0, 0, 0, 0, 0, -338880, 0, 0, 0, 0, 0, 932664, 0, 0, 0, 0, 0, 14832, 0, 0, 0, 0, 0, -1339464, 0, 0, 0, 0, 0, -352440, 0, 0, 0, 0, 0, 467736, 0, 0, 0, 0, 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-679680, 0, 0, 0, 0, 0, 96000, 0, 0, 0, 0, 0, -476352, 0, 0, 0, 0, 0, 832944, 0, 0, 0, 0, 0, -863184, 0, 0, 0, 0, 0, -592068, 0, 0, 0, 0, 0, 131760, 0, 0, 0, 0, 0, -549672, 0, 0, 0, 0, 0, -1423272, 0, 0, 0, 0, 0, 3821604, 0, 0, 0, 0, 0, 1702656, 0, 0, 0, 0, 0, -28500, 0, 0, 0, 0, 0, 373920, 0, 0, 0, 0, 0, -1351836, 0, 0, 0, 0, 0, 615408, 0, 0, 0, 0, 0, 761136, 0, 0, 0, 0, 0, 44880, 0, 0, 0, 0, 0, -1084752, 0, 0, 0, 0, 0, -521376, 0, 0, 0, 0, 0, -1594980, 0, 0, 0, 0, 0, -143544, 0, 0, 0, 0, 0, 55620, 0, 0, 0, 0, 0, -951384, 0, 0, 0, 0, 0, -461940, 0, 0, 0, 0, 0, -1893936, 0, 0, 0, 0, 0, 582168, 0, 0, 0, 0, 0, -206280, 0, 0, 0, 0, 0, -619596, 0, 0, 0, 0, 0, -1726320, 0, 0, 0, 0, 0, -415896, 0, 0, 0, 0, 0, -195576, 0, 0, 0, 0, 0, 983040, 0, 0, 0, 0, 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: 49016088
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 207165582926153840, 'source_is_minimal': False, 'source_label': '2160.4.a.bu.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 207165582926153840, 'target_is_minimal': False, 'target_label': '2160.4.a.bu.1.2', 'target_level': 2160, 'twist_class_label': '1080.4.a.o.1.3', 'twist_class_level': 1080, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 49016089
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 207165582926153840, 'source_is_minimal': False, 'source_label': '2160.4.a.bu.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 211669182553524336, 'target_is_minimal': False, 'target_label': '2160.4.a.bv.1.2', 'target_level': 2160, 'twist_class_label': '1080.4.a.o.1.3', 'twist_class_level': 1080, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 49016090
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 207165582926153840, 'source_is_minimal': False, 'source_label': '2160.4.a.bu.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 63050394850296888, 'target_is_minimal': True, 'target_label': '1080.4.a.o.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.o.1.3', 'twist_class_level': 1080, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 49016091
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 207165582926153840, 'source_is_minimal': False, 'source_label': '2160.4.a.bu.1.2', 'source_level': 2160, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 67553994477667384, 'target_is_minimal': True, 'target_label': '1080.4.a.p.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.o.1.3', 'twist_class_level': 1080, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2464450
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 207165582926153840, 'p': 2}
  • id: 2464451
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 207165582926153840, 'p': 3}
  • id: 2464452
    {'charpoly_factorization': [[[5, 1], 4]], 'hecke_orbit_code': 207165582926153840, 'p': 5}
  • id: 2464453
    {'charpoly_factorization': [[[29484, -9792, -1067, 14, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 7}
  • id: 2464454
    {'charpoly_factorization': [[[1807596, -45756, -3749, 4, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 11}
  • id: 2464455
    {'charpoly_factorization': [[[18230751, 170910, -8928, -30, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 13}
  • id: 2464456
    {'charpoly_factorization': [[[4462704, 253236, -13553, -28, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 17}
  • id: 2464457
    {'charpoly_factorization': [[[21407584, -520836, -11003, 78, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 19}
  • id: 2464458
    {'charpoly_factorization': [[[-146544156, 3991044, -15383, -182, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 23}
  • id: 2464459
    {'charpoly_factorization': [[[-561688740, -11649240, -43439, 202, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 29}
  • id: 2464460
    {'charpoly_factorization': [[[901737216, 2998704, -66989, -76, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 31}
  • id: 2464461
    {'charpoly_factorization': [[[9791964, 87024, -57743, -302, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 37}
  • id: 2464462
    {'charpoly_factorization': [[[1440000, -1278000, 29260, 380, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 41}
  • id: 2464463
    {'charpoly_factorization': [[[-372768336, 11507424, -106223, 178, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 43}
  • id: 2464464
    {'charpoly_factorization': [[[465218416, -4217844, -106859, -114, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 47}
  • id: 2464465
    {'charpoly_factorization': [[[26357772096, 32736384, -418244, -256, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 53}
  • id: 2464466
    {'charpoly_factorization': [[[3841737984, -221044032, -738432, 204, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 59}
  • id: 2464467
    {'charpoly_factorization': [[[-50264811540, 423150720, -463451, -766, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 61}
  • id: 2464468
    {'charpoly_factorization': [[[415421296, -3652800, -79703, 330, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 67}
  • id: 2464469
    {'charpoly_factorization': [[[-897110784, -18774480, -788, 1060, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 71}
  • id: 2464470
    {'charpoly_factorization': [[[1120468716, 48202632, 439849, -1442, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 73}
  • id: 2464471
    {'charpoly_factorization': [[[364066942735, -497502230, -1212384, 742, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 79}
  • id: 2464472
    {'charpoly_factorization': [[[4935879504, -21707136, -211608, 768, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 83}
  • id: 2464473
    {'charpoly_factorization': [[[16886941696, 105275840, -363648, -400, 1], 1]], 'hecke_orbit_code': 207165582926153840, 'p': 89}
  • id: 2464474
    {'charpoly_factorization': [[[-650133282260, 412195720, 2703201, -3338, 1], 1]], 'hecke_orbit_code': 207165582926153840, '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': 47, 'label': '2160.4.a.bu', 'level': 2160, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 276467000
    {'hecke_orbit_code': 207165582926153840, 'n': 1, 'trace_an': 4}
  • id: 276467001
    {'hecke_orbit_code': 207165582926153840, 'n': 2, 'trace_an': 0}
  • id: 276467002
    {'hecke_orbit_code': 207165582926153840, 'n': 3, 'trace_an': 0}
  • id: 276467003
    {'hecke_orbit_code': 207165582926153840, 'n': 4, 'trace_an': 0}
  • id: 276467004
    {'hecke_orbit_code': 207165582926153840, 'n': 5, 'trace_an': -20}
  • id: 276467005
    {'hecke_orbit_code': 207165582926153840, 'n': 6, 'trace_an': 0}
  • id: 276467006
    {'hecke_orbit_code': 207165582926153840, 'n': 7, 'trace_an': -14}
  • id: 276467007
    {'hecke_orbit_code': 207165582926153840, 'n': 8, 'trace_an': 0}
  • id: 276467008
    {'hecke_orbit_code': 207165582926153840, 'n': 9, 'trace_an': 0}
  • id: 276467009
    {'hecke_orbit_code': 207165582926153840, 'n': 10, 'trace_an': 0}
  • id: 276467010
    {'hecke_orbit_code': 207165582926153840, 'n': 11, 'trace_an': -4}
  • id: 276467011
    {'hecke_orbit_code': 207165582926153840, 'n': 12, 'trace_an': 0}
  • id: 276467012
    {'hecke_orbit_code': 207165582926153840, 'n': 13, 'trace_an': 30}
  • id: 276467013
    {'hecke_orbit_code': 207165582926153840, 'n': 14, 'trace_an': 0}
  • id: 276467014
    {'hecke_orbit_code': 207165582926153840, 'n': 15, 'trace_an': 0}
  • id: 276467015
    {'hecke_orbit_code': 207165582926153840, 'n': 16, 'trace_an': 0}
  • id: 276467016
    {'hecke_orbit_code': 207165582926153840, 'n': 17, 'trace_an': 28}
  • id: 276467017
    {'hecke_orbit_code': 207165582926153840, 'n': 18, 'trace_an': 0}
  • id: 276467018
    {'hecke_orbit_code': 207165582926153840, 'n': 19, 'trace_an': -78}
  • id: 276467019
    {'hecke_orbit_code': 207165582926153840, 'n': 20, 'trace_an': 0}
  • id: 276467020
    {'hecke_orbit_code': 207165582926153840, 'n': 21, 'trace_an': 0}
  • id: 276467021
    {'hecke_orbit_code': 207165582926153840, 'n': 22, 'trace_an': 0}
  • id: 276467022
    {'hecke_orbit_code': 207165582926153840, 'n': 23, 'trace_an': 182}
  • id: 276467023
    {'hecke_orbit_code': 207165582926153840, 'n': 24, 'trace_an': 0}
  • id: 276467024
    {'hecke_orbit_code': 207165582926153840, 'n': 25, 'trace_an': 100}
  • id: 276467025
    {'hecke_orbit_code': 207165582926153840, 'n': 26, 'trace_an': 0}
  • id: 276467026
    {'hecke_orbit_code': 207165582926153840, 'n': 27, 'trace_an': 0}
  • id: 276467027
    {'hecke_orbit_code': 207165582926153840, 'n': 28, 'trace_an': 0}
  • id: 276467028
    {'hecke_orbit_code': 207165582926153840, 'n': 29, 'trace_an': -202}
  • id: 276467029
    {'hecke_orbit_code': 207165582926153840, 'n': 30, 'trace_an': 0}
  • id: 276467030
    {'hecke_orbit_code': 207165582926153840, 'n': 31, 'trace_an': 76}
  • id: 276467031
    {'hecke_orbit_code': 207165582926153840, 'n': 32, 'trace_an': 0}
  • id: 276467032
    {'hecke_orbit_code': 207165582926153840, 'n': 33, 'trace_an': 0}
  • id: 276467033
    {'hecke_orbit_code': 207165582926153840, 'n': 34, 'trace_an': 0}
  • id: 276467034
    {'hecke_orbit_code': 207165582926153840, 'n': 35, 'trace_an': 70}
  • id: 276467035
    {'hecke_orbit_code': 207165582926153840, 'n': 36, 'trace_an': 0}
  • id: 276467036
    {'hecke_orbit_code': 207165582926153840, 'n': 37, 'trace_an': 302}
  • id: 276467037
    {'hecke_orbit_code': 207165582926153840, 'n': 38, 'trace_an': 0}
  • id: 276467038
    {'hecke_orbit_code': 207165582926153840, 'n': 39, 'trace_an': 0}
  • id: 276467039
    {'hecke_orbit_code': 207165582926153840, 'n': 40, 'trace_an': 0}
  • id: 276467040
    {'hecke_orbit_code': 207165582926153840, 'n': 41, 'trace_an': -380}
  • id: 276467041
    {'hecke_orbit_code': 207165582926153840, 'n': 42, 'trace_an': 0}
  • id: 276467042
    {'hecke_orbit_code': 207165582926153840, 'n': 43, 'trace_an': -178}
  • id: 276467043
    {'hecke_orbit_code': 207165582926153840, 'n': 44, 'trace_an': 0}
  • id: 276467044
    {'hecke_orbit_code': 207165582926153840, 'n': 45, 'trace_an': 0}
  • id: 276467045
    {'hecke_orbit_code': 207165582926153840, 'n': 46, 'trace_an': 0}
  • id: 276467046
    {'hecke_orbit_code': 207165582926153840, 'n': 47, 'trace_an': 114}
  • id: 276467047
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  • id: 276467048
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  • id: 276467049
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  • id: 276467050
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  • id: 276467051
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  • id: 276467052
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  • id: 276467053
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  • id: 276467054
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  • id: 276467055
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  • id: 276467056
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  • id: 276467057
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  • id: 276467058
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  • id: 276467060
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  • id: 276467061
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  • id: 276467062
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  • id: 276467063
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  • id: 276467064
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  • id: 276467065
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  • id: 276467066
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  • id: 276467067
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  • id: 276467068
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  • id: 276467069
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  • id: 276467070
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  • id: 276467071
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  • id: 276467072
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  • id: 276467073
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  • id: 276467074
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  • id: 276467076
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  • id: 276467077
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  • id: 276467078
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  • id: 276467081
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  • id: 276467087
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  • id: 276467088
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  • id: 276467089
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  • id: 276467090
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  • id: 276467091
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  • id: 276467094
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  • id: 276467095
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  • id: 276467096
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  • id: 276467098
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  • id: 276467102
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  • id: 276467115
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  • id: 276467116
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  • id: 276467117
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  • id: 276467118
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  • id: 276467119
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  • id: 276467120
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  • id: 276467121
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  • id: 276467122
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  • id: 276467124
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  • id: 276467125
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  • id: 276467126
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  • id: 276467128
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  • id: 276467129
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  • id: 276467130
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  • id: 276467131
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  • id: 276467132
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  • id: 276467134
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  • id: 276467135
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  • id: 276467136
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  • id: 276467137
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  • id: 276467138
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  • id: 276467139
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  • id: 276467140
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  • id: 276467141
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  • id: 276467142
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  • id: 276467143
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  • id: 276467144
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  • id: 276467145
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  • id: 276467146
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  • id: 276467147
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  • id: 276467148
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  • id: 276467149
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  • id: 276467150
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  • id: 276467151
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  • id: 276467152
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  • id: 276467153
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  • id: 276467154
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  • id: 276467155
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  • id: 276467156
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  • id: 276467157
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  • id: 276467158
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  • id: 276467160
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  • id: 276467161
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  • id: 276467162
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  • id: 276467163
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  • id: 276467164
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  • id: 276467166
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  • id: 276467167
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  • id: 276467168
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  • id: 276467169
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  • id: 276467170
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  • id: 276467171
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  • id: 276467172
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  • id: 276467174
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  • id: 276467175
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  • id: 276467176
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  • id: 276467178
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  • id: 276467180
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  • id: 276467181
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  • id: 276467182
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  • id: 276467187
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  • id: 276467188
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  • id: 276467190
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  • id: 276467191
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  • id: 276467192
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  • id: 276467193
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  • id: 276467196
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  • id: 276467232
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  • id: 276467237
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  • id: 276467238
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  • id: 276467996
    {'hecke_orbit_code': 207165582926153840, 'n': 997, 'trace_an': 14592}
  • id: 276467997
    {'hecke_orbit_code': 207165582926153840, 'n': 998, 'trace_an': 0}
  • id: 276467998
    {'hecke_orbit_code': 207165582926153840, 'n': 999, 'trace_an': 0}
  • id: 276467999
    {'hecke_orbit_code': 207165582926153840, 'n': 1000, 'trace_an': 0}