Embedded newform data - 2160.4.h.c.431.5

Formats: - HTML - YAML - JSON - 2025-09-11T05:17:58.871931

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2160, 2, [271, 1621, 2081, 1297], [1, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 431, 'dim': 12, 'field_disc': 39490283220858998784, 'field_disc_factorization': [[2, 12], [3, 6], [1907, 4]], 'field_poly': [531441, -118098, 52488, -72900, 12960, -4698, 3906, -522, 160, -100, 8, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [529200, 0, 24516, 0, 324, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007680358189168, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 107495424, 'hecke_ring_index_factorization': [[2, 14], [3, 8]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2160.4.h.c', 'level': 2160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '2160.4.h.c', 'prim_orbit_index': 2, 'qexp_display': 'q+5\\beta _{1}q^{5}+(-3\\beta _{3}+\\beta _{8})q^{7}+(-8\\beta _{2}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2160.4.h', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1769339080719943725, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.077', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.056', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.998', 'prec': 17}, {'__RealLiteral__': 0, 'data': '866.346', 'prec': 24}, {'__RealLiteral__': 0, 'data': '894.837', 'prec': 24}, {'__RealLiteral__': 0, 'data': '121519.050', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7740, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18996, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19536, 0, 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-301248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -61680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -49464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -83232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -196740, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -234096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -418896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -293664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -223104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -345192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132708, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -247068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -217200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -187920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -164712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -170232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -69120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -151056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24444, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -111660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 215952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -148236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 197832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -97320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -542352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92244, 0, 0, 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0, 0, 0, 75660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 671244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 359160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 205488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 555636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 634920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 290568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 779016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 687300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1180164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 249576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 433440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -372336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -122652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 155016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 409584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1024224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39240, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• 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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-0.394478972672851, -0.45741082801964994], 'char_orbit_index': 8, 'conrey_index': 431, 'dual_conrey_index': 431, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': -0.28806289833714577, 'embedding_root_real': 2.9861379349590673, 'hecke_orbit': 3, 'hecke_orbit_code': 9007680358189168, 'label': '2160.4.h.c.431.5', 'level': 2160, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 34560, 'analytic_conductor': 127.44412561239973, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2160, 2, [271, 1621, 2081, 1297], [1, 2, 1, 2]], 'conrey_index': 431, 'cusp_dim': 1260, 'dim': 96, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 481103448176, 'hecke_orbit_dims': [4, 4, 12, 12, 12, 16, 16, 20], 'label': '2160.4.h', 'level': 2160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': 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': 8, 'prim_orbit_index': 2, 'relative_dim': 96, 'sturm_bound': 1728, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -113640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 86544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -220464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -133920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 142296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -125280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -198696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 324504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -101376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -417288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 273168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 379440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -187200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 290880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -307248, 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: 41058193
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9007680358189168, 'source_is_minimal': True, 'source_label': '2160.4.h.c.431.5', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007680358189168, 'target_is_minimal': True, 'target_label': '2160.4.h.c.431.5', 'target_level': 2160, 'twist_class_label': '2160.4.h.c.431.2', 'twist_class_level': 2160, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 41058194
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9007680358189168, 'source_is_minimal': True, 'source_label': '2160.4.h.c.431.5', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007680358189168, 'target_is_minimal': True, 'target_label': '2160.4.h.c.431.11', 'target_level': 2160, 'twist_class_label': '2160.4.h.c.431.2', 'twist_class_level': 2160, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 41058195
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 431, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9007680358189168, 'source_is_minimal': True, 'source_label': '2160.4.h.c.431.5', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007680358189168, 'target_is_minimal': True, 'target_label': '2160.4.h.c.431.2', 'target_level': 2160, 'twist_class_label': '2160.4.h.c.431.2', 'twist_class_level': 2160, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41058196
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 431, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 9007680358189168, 'source_is_minimal': True, 'source_label': '2160.4.h.c.431.5', 'source_level': 2160, 'target_conrey_index': 431, 'target_dim': 12, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9007680358189168, 'target_is_minimal': True, 'target_label': '2160.4.h.c.431.8', 'target_level': 2160, 'twist_class_label': '2160.4.h.c.431.2', 'twist_class_level': 2160, '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: 2464575
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9007680358189168, 'p': 2}
  • id: 2464576
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9007680358189168, 'p': 3}
  • id: 2464577
    {'charpoly_factorization': [[[25, 0, 1], 6]], 'hecke_orbit_code': 9007680358189168, 'p': 5}
  • id: 2464578
    {'charpoly_factorization': [[[529200, 0, 24516, 0, 324, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 7}
  • id: 2464579
    {'charpoly_factorization': [[[-5767941312, 0, 10642788, 0, -5928, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 11}
  • id: 2464580
    {'charpoly_factorization': [[[-205564, -4518, 48, 1], 4]], 'hecke_orbit_code': 9007680358189168, 'p': 13}
  • id: 2464581
    {'charpoly_factorization': [[[310852161, 0, 9624015, 0, 7695, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 17}
  • id: 2464582
    {'charpoly_factorization': [[[2694063267, 0, 8650503, 0, 5733, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 19}
  • id: 2464583
    {'charpoly_factorization': [[[-210225270267, 0, 389620539, 0, -39561, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 23}
  • id: 2464584
    {'charpoly_factorization': [[[16962701216400, 0, 2430936036, 0, 101196, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 29}
  • id: 2464585
    {'charpoly_factorization': [[[18668982706947, 0, 6809132007, 0, 162789, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 31}
  • id: 2464586
    {'charpoly_factorization': [[[13482088, -60132, -234, 1], 4]], 'hecke_orbit_code': 9007680358189168, 'p': 37}
  • id: 2464587
    {'charpoly_factorization': [[[273462060096, 0, 301810212, 0, 38952, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 41}
  • id: 2464588
    {'charpoly_factorization': [[[2359370420928, 0, 1183832100, 0, 66696, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 43}
  • id: 2464589
    {'charpoly_factorization': [[[-35435772525312, 0, 3796281792, 0, -112524, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 47}
  • id: 2464590
    {'charpoly_factorization': [[[889777652797881, 0, 48144344463, 0, 650583, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 53}
  • id: 2464591
    {'charpoly_factorization': [[[-19737120963888, 0, 51439573188, 0, -567492, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 59}
  • id: 2464592
    {'charpoly_factorization': [[[50171449, -299853, 123, 1], 4]], 'hecke_orbit_code': 9007680358189168, 'p': 61}
  • id: 2464593
    {'charpoly_factorization': [[[83800270809792, 0, 7478466480, 0, 189540, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 67}
  • id: 2464594
    {'charpoly_factorization': [[[-158406879953850048, 0, 1137095447652, 0, -1971816, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 71}
  • id: 2464595
    {'charpoly_factorization': [[[81845240, -5202, -1122, 1], 4]], 'hecke_orbit_code': 9007680358189168, 'p': 73}
  • id: 2464596
    {'charpoly_factorization': [[[348372351747216963, 0, 1630884441015, 0, 2359605, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 79}
  • id: 2464597
    {'charpoly_factorization': [[[-876281924499147, 0, 251830182843, 0, -1117881, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 83}
  • id: 2464598
    {'charpoly_factorization': [[[36742099532914944, 0, 353365525188, 0, 1069992, 0, 1], 2]], 'hecke_orbit_code': 9007680358189168, 'p': 89}
  • id: 2464599
    {'charpoly_factorization': [[[-96051712, -1786176, -636, 1], 4]], 'hecke_orbit_code': 9007680358189168, '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': 8, 'hecke_orbit': 3, 'label': '2160.4.h.c', 'level': 2160, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31097749
    {'hecke_orbit_code': 9007680358189168, 'n': 1, 'trace_an': 12}
  • id: 31097750
    {'hecke_orbit_code': 9007680358189168, 'n': 2, 'trace_an': 0}
  • id: 31097751
    {'hecke_orbit_code': 9007680358189168, 'n': 3, 'trace_an': 0}
  • id: 31097752
    {'hecke_orbit_code': 9007680358189168, 'n': 4, 'trace_an': 0}
  • id: 31097753
    {'hecke_orbit_code': 9007680358189168, 'n': 5, 'trace_an': 0}
  • id: 31097754
    {'hecke_orbit_code': 9007680358189168, 'n': 6, 'trace_an': 0}
  • id: 31097755
    {'hecke_orbit_code': 9007680358189168, 'n': 7, 'trace_an': 0}
  • id: 31097756
    {'hecke_orbit_code': 9007680358189168, 'n': 8, 'trace_an': 0}
  • id: 31097757
    {'hecke_orbit_code': 9007680358189168, 'n': 9, 'trace_an': 0}
  • id: 31097758
    {'hecke_orbit_code': 9007680358189168, 'n': 10, 'trace_an': 0}
  • id: 31097759
    {'hecke_orbit_code': 9007680358189168, 'n': 11, 'trace_an': 0}
  • id: 31097760
    {'hecke_orbit_code': 9007680358189168, 'n': 12, 'trace_an': 0}
  • id: 31097761
    {'hecke_orbit_code': 9007680358189168, 'n': 13, 'trace_an': -192}
  • id: 31097762
    {'hecke_orbit_code': 9007680358189168, 'n': 14, 'trace_an': 0}
  • id: 31097763
    {'hecke_orbit_code': 9007680358189168, 'n': 15, 'trace_an': 0}
  • id: 31097764
    {'hecke_orbit_code': 9007680358189168, 'n': 16, 'trace_an': 0}
  • id: 31097765
    {'hecke_orbit_code': 9007680358189168, 'n': 17, 'trace_an': 0}
  • id: 31097766
    {'hecke_orbit_code': 9007680358189168, 'n': 18, 'trace_an': 0}
  • id: 31097767
    {'hecke_orbit_code': 9007680358189168, 'n': 19, 'trace_an': 0}
  • id: 31097768
    {'hecke_orbit_code': 9007680358189168, 'n': 20, 'trace_an': 0}
  • id: 31097769
    {'hecke_orbit_code': 9007680358189168, 'n': 21, 'trace_an': 0}
  • id: 31097770
    {'hecke_orbit_code': 9007680358189168, 'n': 22, 'trace_an': 0}
  • id: 31097771
    {'hecke_orbit_code': 9007680358189168, 'n': 23, 'trace_an': 0}
  • id: 31097772
    {'hecke_orbit_code': 9007680358189168, 'n': 24, 'trace_an': 0}
  • id: 31097773
    {'hecke_orbit_code': 9007680358189168, 'n': 25, 'trace_an': -300}
  • id: 31097774
    {'hecke_orbit_code': 9007680358189168, 'n': 26, 'trace_an': 0}
  • id: 31097775
    {'hecke_orbit_code': 9007680358189168, 'n': 27, 'trace_an': 0}
  • id: 31097776
    {'hecke_orbit_code': 9007680358189168, 'n': 28, 'trace_an': 0}
  • id: 31097777
    {'hecke_orbit_code': 9007680358189168, 'n': 29, 'trace_an': 0}
  • id: 31097778
    {'hecke_orbit_code': 9007680358189168, 'n': 30, 'trace_an': 0}
  • id: 31097779
    {'hecke_orbit_code': 9007680358189168, 'n': 31, 'trace_an': 0}
  • id: 31097780
    {'hecke_orbit_code': 9007680358189168, 'n': 32, 'trace_an': 0}
  • id: 31097781
    {'hecke_orbit_code': 9007680358189168, 'n': 33, 'trace_an': 0}
  • id: 31097782
    {'hecke_orbit_code': 9007680358189168, 'n': 34, 'trace_an': 0}
  • id: 31097783
    {'hecke_orbit_code': 9007680358189168, 'n': 35, 'trace_an': 0}
  • id: 31097784
    {'hecke_orbit_code': 9007680358189168, 'n': 36, 'trace_an': 0}
  • id: 31097785
    {'hecke_orbit_code': 9007680358189168, 'n': 37, 'trace_an': 936}
  • id: 31097786
    {'hecke_orbit_code': 9007680358189168, 'n': 38, 'trace_an': 0}
  • id: 31097787
    {'hecke_orbit_code': 9007680358189168, 'n': 39, 'trace_an': 0}
  • id: 31097788
    {'hecke_orbit_code': 9007680358189168, 'n': 40, 'trace_an': 0}
  • id: 31097789
    {'hecke_orbit_code': 9007680358189168, 'n': 41, 'trace_an': 0}
  • id: 31097790
    {'hecke_orbit_code': 9007680358189168, 'n': 42, 'trace_an': 0}
  • id: 31097791
    {'hecke_orbit_code': 9007680358189168, 'n': 43, 'trace_an': 0}
  • id: 31097792
    {'hecke_orbit_code': 9007680358189168, 'n': 44, 'trace_an': 0}
  • id: 31097793
    {'hecke_orbit_code': 9007680358189168, 'n': 45, 'trace_an': 0}
  • id: 31097794
    {'hecke_orbit_code': 9007680358189168, 'n': 46, 'trace_an': 0}
  • id: 31097795
    {'hecke_orbit_code': 9007680358189168, 'n': 47, 'trace_an': 0}
  • id: 31097796
    {'hecke_orbit_code': 9007680358189168, 'n': 48, 'trace_an': 0}
  • id: 31097797
    {'hecke_orbit_code': 9007680358189168, 'n': 49, 'trace_an': 2820}
  • id: 31097798
    {'hecke_orbit_code': 9007680358189168, 'n': 50, 'trace_an': 0}
  • id: 31097799
    {'hecke_orbit_code': 9007680358189168, 'n': 51, 'trace_an': 0}
  • id: 31097800
    {'hecke_orbit_code': 9007680358189168, 'n': 52, 'trace_an': 0}
  • id: 31097801
    {'hecke_orbit_code': 9007680358189168, 'n': 53, 'trace_an': 0}
  • id: 31097802
    {'hecke_orbit_code': 9007680358189168, 'n': 54, 'trace_an': 0}
  • id: 31097803
    {'hecke_orbit_code': 9007680358189168, 'n': 55, 'trace_an': 0}
  • id: 31097804
    {'hecke_orbit_code': 9007680358189168, 'n': 56, 'trace_an': 0}
  • id: 31097805
    {'hecke_orbit_code': 9007680358189168, 'n': 57, 'trace_an': 0}
  • id: 31097806
    {'hecke_orbit_code': 9007680358189168, 'n': 58, 'trace_an': 0}
  • id: 31097807
    {'hecke_orbit_code': 9007680358189168, 'n': 59, 'trace_an': 0}
  • id: 31097808
    {'hecke_orbit_code': 9007680358189168, 'n': 60, 'trace_an': 0}
  • id: 31097809
    {'hecke_orbit_code': 9007680358189168, 'n': 61, 'trace_an': -492}
  • id: 31097810
    {'hecke_orbit_code': 9007680358189168, 'n': 62, 'trace_an': 0}
  • id: 31097811
    {'hecke_orbit_code': 9007680358189168, 'n': 63, 'trace_an': 0}
  • id: 31097812
    {'hecke_orbit_code': 9007680358189168, 'n': 64, 'trace_an': 0}
  • id: 31097813
    {'hecke_orbit_code': 9007680358189168, 'n': 65, 'trace_an': 0}
  • id: 31097814
    {'hecke_orbit_code': 9007680358189168, 'n': 66, 'trace_an': 0}
  • id: 31097815
    {'hecke_orbit_code': 9007680358189168, 'n': 67, 'trace_an': 0}
  • id: 31097816
    {'hecke_orbit_code': 9007680358189168, 'n': 68, 'trace_an': 0}
  • id: 31097817
    {'hecke_orbit_code': 9007680358189168, 'n': 69, 'trace_an': 0}
  • id: 31097818
    {'hecke_orbit_code': 9007680358189168, 'n': 70, 'trace_an': 0}
  • id: 31097819
    {'hecke_orbit_code': 9007680358189168, 'n': 71, 'trace_an': 0}
  • id: 31097820
    {'hecke_orbit_code': 9007680358189168, 'n': 72, 'trace_an': 0}
  • id: 31097821
    {'hecke_orbit_code': 9007680358189168, 'n': 73, 'trace_an': 4488}
  • id: 31097822
    {'hecke_orbit_code': 9007680358189168, 'n': 74, 'trace_an': 0}
  • id: 31097823
    {'hecke_orbit_code': 9007680358189168, 'n': 75, 'trace_an': 0}
  • id: 31097824
    {'hecke_orbit_code': 9007680358189168, 'n': 76, 'trace_an': 0}
  • id: 31097825
    {'hecke_orbit_code': 9007680358189168, 'n': 77, 'trace_an': 0}
  • id: 31097826
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