Embedded newform data - 1350.4.c.p.649.1

Formats: - HTML - YAML - JSON - 2024-04-20T05:24:26.382546

• 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': 21600, 'analytic_conductor': 79.65257850774982, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1350, 2, [1001, 1027], [2, 1]], 'cm_discs': [], 'conrey_index': 649, 'conrey_indexes': [649], 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [529, 0, 1]], [11, [-30, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67554131916621126, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1350.4.c.p', 'level': 1350, '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': '1350.4.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q-2iq^{2}-4q^{4}+23iq^{7}+8iq^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1350.4.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 838530745548320352, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.021', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.840', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '173.168', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, -8, 0, 0, 0, 0, 0, 0, 60, 0, 0, 92, 0, 32, 0, 0, 278, 0, 0, 0, 0, 0, 0, 136, 0, 0, -468, 0, -110, 0, 0, -168, 0, 0, 0, 0, 0, 0, 276, 0, 0, -240, 0, -768, 0, 0, -372, 0, 0, 0, 0, 0, 0, -368, 0, 0, 792, 0, 46, 0, 0, -128, 0, 0, 0, 0, 0, 0, 408, 0, 0, 764, 0, -1112, 0, 0, 1418, 0, 0, 0, 0, 0, 0, -212, 0, 0, 1632, 0, -1564, 0, 0, 1464, 0, 0, 0, 0, 0, 0, -2556, 0, 0, -544, 0, 1320, 0, 0, -1186, 0, 0, 0, 0, 0, 0, 1872, 0, 0, 1932, 0, -862, 0, 0, 440, 0, 0, 0, 0, 0, 0, 5484, 0, 0, 1808, 0, 672, 0, 0, -1786, 0, 0, 0, 0, 0, 0, 2764, 0, 0, 5004, 0, -5534, 0, 0, 2760, 0, 0, 0, 0, 0, 0, 8832, 0, 0, -1104, 0, -4392, 0, 0, 2082, 0, 0, 0, 0, 0, 0, 960, 0, 0, -2280, 0, 796, 0, 0, 3072, 0, 0, 0, 0, 0, 0, 6948, 0, 0, 3620, 0, 1488, 0, 0, -10264, 0, 0, 0, 0, 0, 0, -2420, 0, 0, 8340, 0, 10480, 0, 0, 5952, 0, 0, 0, 0, 0, 0, 2856, 0, 0, 1472, 0, -1296, 0, 0, -5146, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 612, 0, 12964, 0, 0, -184, 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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• 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

  
  {'Nk2': 21600, 'analytic_conductor': 79.65257850774982, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1350, 2, [1001, 1027], [2, 1]], 'conrey_index': 649, 'cusp_dim': 774, 'dim': 72, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 137506063686, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '1350.4.c', 'level': 1350, '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': 846, 'mf_new_dim': 72, 'num_forms': 28, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 1080, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 564, 0, 0, 912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, -6324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, -4608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 3396, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7572, 0, 0, 6192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 2520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17316, 0, 0, -2256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3648, 0, 0, -2436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4788, 0, 0, 6072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3240, 0, 0, -22992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10752, 0, 0, -1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25296, 0, 0, 31692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53592, 0, 0, -14568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8736, 0, 0, -35376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22728, 0, 0, 2304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18432, 0, 0, 13080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81264, 0, 0, 17568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20352, 0, 0, 13680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7548, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13584, 0, 0, -45144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22452, 0, 0, 6576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42552, 0, 0, 77340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54384, 0, 0, 30288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24768, 0, 0, -30144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62064, 0, 0, 17112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8064, 0, 0, 7332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -61860, 0, 0, -864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10080, 0, 0, -17076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13896, 0, 0, 61728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 79536, 0, 0, 40308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10344, 0, 0, -69264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9024, 0, 0, -110640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -149196, 0, 0, 23808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12720, 0, 0, 55440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85872, 0, 0, 14592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9744, 0, 0, 2436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120936, 0, 0, -190128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47280, 0, 0, -62748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28620, 0, 0, 19152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24288, 0, 0, -11160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75444, 0, 0, 130680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2256, 0, 0, -83376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112092, 0, 0, -12960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91968, 0, 0, -112068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12096, 0, 0, -15864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150768, 0, 0, 66192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 222000, 0, 0, 43008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4608, 0, 0, -106344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25248, 0, 0, -32544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20016, 0, 0, -9780, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -105912, 0, 0, -101184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126768, 0, 0, 479376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22056, 0, 0, 482208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12576, 0, 0, 259644, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -416592, 0, 0, -214368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58272, 0, 0, -471444, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54024, 0, 0, -96768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44784, 0, 0, 113316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 229680, 0, 0, -34944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141504, 0, 0, -138828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1608, 0, 0, -152232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176304, 0, 0, 61032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -289740, 0, 0, -90912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9216, 0, 0, 125856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 245196, 0, 0, 336192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 178608, 0, 0, 336492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 397128, 0, 0, -73728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52320, 0, 0, 138900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5808, 0, 0, -298272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -665088, 0, 0, 211896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 693144, 0, 0, 325056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70272, 0, 0, 74868, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 429516, 0, 0, -499416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100104, 0, 0, -723468, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 443772, 0, 0, -81408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54720, 0, 0, -187368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9528, 0, 0, 499416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -173136, 0, 0, -635472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 395808, 0, 0, 30192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 278208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53184, 0, 0, 188448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -147360, 0, 0, 536304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -343548, 0, 0, 54336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180576, 0, 0, -82920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85416, 0, 0, -638640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -151992, 0, 0, -461520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -182064, 0, 0, -89808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26304, 0, 0, 760224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 236976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 287664, 0, 0, 941772, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -465720, 0, 0, -170208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -309360, 0, 0, -1438752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184896, 0, 0, -220776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136368, 0, 0, 585120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42156, 0, 0, 217536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -121152, 0, 0, -300600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 442368, 0, 0, 23712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 306816, 0, 0, 579252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -637992, 0, 0, 99072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120576, 0, 0, -1185852, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -993600, 0, 0, -34608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 370800, 0, 0, 229680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 877236, 0, 0, -248256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68448, 0, 0, -683376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1536888, 0, 0, -140232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64056, 0, 0, 798372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -103320, 0, 0, -32256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29328, 0, 0, 958500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 270192, 0, 0, -449472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -410976, 0, 0, -300876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -436824, 0, 0, 247440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3456, 0, 0, -420840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -618840, 0, 0, 416640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57888, 0, 0, -1539420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 297456, 0, 0, 40320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68304, 0, 0, 271548, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176544, 0, 0, 586464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 745488, 0, 0, -37536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -165108, 0, 0, -55584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -246912, 0, 0, 739512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216324, 0, 0, -700440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1161600, 0, 0, 349344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -468072, 0, 0, -318144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -161232, 0, 0, 1092972, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1094460, 0, 0, 671304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -942960, 0, 0, 1396008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 575640, 0, 0, 41376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 277056, 0, 0, -605220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4164, 0, 0, 239760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -261744, 0, 0, -300492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1064652, 0, 0, -36096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 442560, 0, 0, -709956, 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: 47961016
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67554131916621126, 'target_is_minimal': False, 'target_label': '1350.4.c.p.649.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47961017
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536015545670, 'target_is_minimal': False, 'target_label': '1350.4.c.e.649.2', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47961018
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477667654, 'target_is_minimal': True, 'target_label': '1350.4.a.p.1.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47961019
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195595556166, 'target_is_minimal': True, 'target_label': '1350.4.a.m.1.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47961020
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67554131916621126, 'target_is_minimal': False, 'target_label': '1350.4.c.p.649.2', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47961021
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694480710, 'target_is_minimal': True, 'target_label': '1350.4.a.b.1.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47961022
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590378743110, 'target_is_minimal': True, 'target_label': '1350.4.a.ba.1.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 47961023
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67554131916621126, 'source_is_minimal': False, 'source_label': '1350.4.c.p.649.1', 'source_level': 1350, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536015545670, 'target_is_minimal': False, 'target_label': '1350.4.c.e.649.1', 'target_level': 1350, 'twist_class_label': '1350.4.a.b.1.1', 'twist_class_level': 1350, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1889125
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 2}
  • id: 1889126
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 3}
  • id: 1889127
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 5}
  • id: 1889128
    {'charpoly_factorization': [[[529, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 7}
  • id: 1889129
    {'charpoly_factorization': [[[-30, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 11}
  • id: 1889130
    {'charpoly_factorization': [[[1156, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 13}
  • id: 1889131
    {'charpoly_factorization': [[[1764, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 17}
  • id: 1889132
    {'charpoly_factorization': [[[-139, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 19}
  • id: 1889133
    {'charpoly_factorization': [[[36864, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 23}
  • id: 1889134
    {'charpoly_factorization': [[[234, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 29}
  • id: 1889135
    {'charpoly_factorization': [[[55, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 31}
  • id: 1889136
    {'charpoly_factorization': [[[36481, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 37}
  • id: 1889137
    {'charpoly_factorization': [[[-138, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 41}
  • id: 1889138
    {'charpoly_factorization': [[[2809, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 43}
  • id: 1889139
    {'charpoly_factorization': [[[133956, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 47}
  • id: 1889140
    {'charpoly_factorization': [[[108900, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 53}
  • id: 1889141
    {'charpoly_factorization': [[[-396, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 59}
  • id: 1889142
    {'charpoly_factorization': [[[-23, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 61}
  • id: 1889143
    {'charpoly_factorization': [[[204304, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 67}
  • id: 1889144
    {'charpoly_factorization': [[[-204, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 71}
  • id: 1889145
    {'charpoly_factorization': [[[477481, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 73}
  • id: 1889146
    {'charpoly_factorization': [[[-709, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 79}
  • id: 1889147
    {'charpoly_factorization': [[[1205604, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, 'p': 83}
  • id: 1889148
    {'charpoly_factorization': [[[-816, 1], 2]], 'hecke_orbit_code': 67554131916621126, 'p': 89}
  • id: 1889149
    {'charpoly_factorization': [[[819025, 0, 1], 1]], 'hecke_orbit_code': 67554131916621126, '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': 3, 'hecke_orbit': 16, 'label': '1350.4.c.p', 'level': 1350, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 237189000
    {'hecke_orbit_code': 67554131916621126, 'n': 1, 'trace_an': 2}
  • id: 237189001
    {'hecke_orbit_code': 67554131916621126, 'n': 2, 'trace_an': 0}
  • id: 237189002
    {'hecke_orbit_code': 67554131916621126, 'n': 3, 'trace_an': 0}
  • id: 237189003
    {'hecke_orbit_code': 67554131916621126, 'n': 4, 'trace_an': -8}
  • id: 237189004
    {'hecke_orbit_code': 67554131916621126, 'n': 5, 'trace_an': 0}
  • id: 237189005
    {'hecke_orbit_code': 67554131916621126, 'n': 6, 'trace_an': 0}
  • id: 237189006
    {'hecke_orbit_code': 67554131916621126, 'n': 7, 'trace_an': 0}
  • id: 237189007
    {'hecke_orbit_code': 67554131916621126, 'n': 8, 'trace_an': 0}
  • id: 237189008
    {'hecke_orbit_code': 67554131916621126, 'n': 9, 'trace_an': 0}
  • id: 237189009
    {'hecke_orbit_code': 67554131916621126, 'n': 10, 'trace_an': 0}
  • id: 237189010
    {'hecke_orbit_code': 67554131916621126, 'n': 11, 'trace_an': 60}
  • id: 237189011
    {'hecke_orbit_code': 67554131916621126, 'n': 12, 'trace_an': 0}
  • id: 237189012
    {'hecke_orbit_code': 67554131916621126, 'n': 13, 'trace_an': 0}
  • id: 237189013
    {'hecke_orbit_code': 67554131916621126, 'n': 14, 'trace_an': 92}
  • id: 237189014
    {'hecke_orbit_code': 67554131916621126, 'n': 15, 'trace_an': 0}
  • id: 237189015
    {'hecke_orbit_code': 67554131916621126, 'n': 16, 'trace_an': 32}
  • id: 237189016
    {'hecke_orbit_code': 67554131916621126, 'n': 17, 'trace_an': 0}
  • id: 237189017
    {'hecke_orbit_code': 67554131916621126, 'n': 18, 'trace_an': 0}
  • id: 237189018
    {'hecke_orbit_code': 67554131916621126, 'n': 19, 'trace_an': 278}
  • id: 237189019
    {'hecke_orbit_code': 67554131916621126, 'n': 20, 'trace_an': 0}
  • id: 237189020
    {'hecke_orbit_code': 67554131916621126, 'n': 21, 'trace_an': 0}
  • id: 237189021
    {'hecke_orbit_code': 67554131916621126, 'n': 22, 'trace_an': 0}
  • id: 237189022
    {'hecke_orbit_code': 67554131916621126, 'n': 23, 'trace_an': 0}
  • id: 237189023
    {'hecke_orbit_code': 67554131916621126, 'n': 24, 'trace_an': 0}
  • id: 237189024
    {'hecke_orbit_code': 67554131916621126, 'n': 25, 'trace_an': 0}
  • id: 237189025
    {'hecke_orbit_code': 67554131916621126, 'n': 26, 'trace_an': 136}
  • id: 237189026
    {'hecke_orbit_code': 67554131916621126, 'n': 27, 'trace_an': 0}
  • id: 237189027
    {'hecke_orbit_code': 67554131916621126, 'n': 28, 'trace_an': 0}
  • id: 237189028
    {'hecke_orbit_code': 67554131916621126, 'n': 29, 'trace_an': -468}
  • id: 237189029
    {'hecke_orbit_code': 67554131916621126, 'n': 30, 'trace_an': 0}
  • id: 237189030
    {'hecke_orbit_code': 67554131916621126, 'n': 31, 'trace_an': -110}
  • id: 237189031
    {'hecke_orbit_code': 67554131916621126, 'n': 32, 'trace_an': 0}
  • id: 237189032
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  • id: 237189037
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  • id: 237189040
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  • id: 237189060
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  • id: 237189126
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  • id: 237189133
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  • id: 237189135
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  • id: 237189137
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  • id: 237189138
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  • id: 237189139
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  • id: 237189140
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  • id: 237189141
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  • id: 237189145
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  • id: 237189153
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  • id: 237189191
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  • id: 237189193
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