Newform data - 3600.2.a.r

Formats: - HTML - YAML - JSON - 2026-07-19T21:52:13.722095

• 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': 14400, 'analytic_conductor': 28.746144727660937, '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': [3600, 1, [3151, 901, 2801, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': 0, 'hecke_cutters': [[7, [1, 1]], [11, [-4, 1]], [13, [1, 1]], [17, [4, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561193698856464, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3600.2.a.r', 'level': 3600, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '1800.2.a.k', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{7}+4q^{11}-q^{13}-4q^{17}-q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/3600/r'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3600.2.a', 'trace_display': [0, 0, 0, -1], 'trace_hash': 409767738768124715, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.141', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, -1, 0, 0, 0, 4, 0, -1, 0, 0, 0, -4, 0, -1, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 5, 0, 0, 0, 0, 0, -6, 0, 0, 0, -12, 0, -5, 0, 0, 0, 8, 0, -6, 0, 0, 0, 12, 0, 0, 0, 0, 0, 8, 0, 7, 0, 0, 0, 0, 0, -13, 0, 0, 0, 12, 0, -6, 0, 0, 0, -4, 0, -12, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -13, 0, 0, 0, -12, 0, 4, 0, 0, 0, 12, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, 0, 1, 0, 0, 0, -8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -8, 0, 19, 0, 0, 0, 0, 0, -19, 0, 0, 0, 4, 0, -23, 0, 0, 0, -12, 0, -12, 0, 0, 0, -4, 0, 0, 0, 0, 0, -16, 0, 5, 0, 0, 0, 0, 0, -16, 0, 0, 0, -4, 0, -7, 0, 0, 0, -8, 0, -17, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, -5, 0, 0, 0, 0, 0, -5, 0, 0, 0, 4, 0, 23, 0, 0, 0, -12, 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0, 0, 0, -12, 0, 0, 0, 0, 0, 16, 0, 16, 0, 0, 0, 0, 0, 6, 0, 0, 0, 12, 0, 6, 0, 0, 0, 60, 0, 112, 0, 0, 0, -84, 0, 0, 0, 0, 0, -60, 0, -107, 0, 0, 0, 0, 0, -1, 0, 0, 0, 48, 0, 19, 0, 0, 0, -16, 0, -42, 0, 0, 0, 72, 0, 0, 0, 0, 0, -52, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [0], [0], [0], [0], [-1], [0], [0], [0], [4], [0], [-1], [0], [0], [0], [-4], [0], [-1], [0], [0], [0], [-4], [0], [0], [0], [0], [0], [-4], [0], [5], [0], [0], [0], [0], [0], [-6], [0], [0], [0], [-12], [0], [-5], [0], [0], [0], [8], [0], [-6], [0], [0], [0], [12], [0], [0], [0], [0], [0], [8], [0], [7], [0], [0], [0], [0], [0], [-13], [0], [0], [0], [12], [0], [-6], [0], [0], [0], [-4], [0], [-12], [0], [0], [0], [-8], [0], [0], [0], [0], [0], [0], [0], [1], [0], [0], [0], [0], [0], [-13], [0], [0], [0]], 'ap': [[0], [0], [0], [-1], [4], [-1], [-4], [-1], [-4], [-4], [5], [-6], [-12], [-5], [8], [12], [8], [7], [-13], [12], [-6], [-12], [-8], [0], [-13], [-12], [4], [12], [-7], [0], [-12], [12], [-8], [0], [-8], [19], [-19], [-23], [-12], [-4], [-16], [5], [-4], [-7], [-8], [-17], [-5], [23], [-12], [1], [12], [12], [17], [-24], [24], [12], [28], [12], [7], [20], [-31], [-32], [-11], [-16], [13], [24], [0], [-13], [-8], [-18], [-4], [-36], [17], [5], [29], [24], [12], [-7], [12], [25], [12], [-6], [-28], [-11], [-19], [24], [24], [26], [12], [36], [-20], [-8], [13], [0], [19], [-36], [-40], [20], [-35], [-11], [8], [-16], [20], [4], [-25], [-11], [12], [-12], [24], [-17], [36], [-6], [36], [7], [17], [-24], [-24], [48], [32], [12], [-42], [30], [28], [-48], [-8], [-20], [29], [4], [47], [-18], [48], [48], [-12], [43], [-48], [-17], [36], [-7], [-24], [36], [-53], [-16], [31], [12], [34], [20], [49], [-24], [40], [-24], [-19], [-24], [-25], [8], [24], [40], [-5], [-52], [29], [-16], [44], [48], [36], [32], [8], [-48], [13], [42], [5], [-40], [-4], [-5], [32], [43], [7], [-24], [-1], [4], [-5], [-53], [11], [0], [19], [-32], [-56], [16], [-53], [5], [29], [4], [-41], [36], [-35], [-44], [68], [-16], [18], [-18], [56], [52], [36], [44], [22], [-66], [0], [20], [11], [-4], [-24], [13], [-55], [-32], [35], [-48], [-8], [-6], [19], [28], [-12], [-44], [-7], [-25], [32], [-60], [-36], [-5], [-4], [-64], [-7], [-4], [11], [72], [19], [32], [24], [0], [-18], [-36], [-8], [-12], [-4], [17], [-35], [-65], [-16], [56], [-47], [-52], [-55], [-8], [-66], [68], [-24], [29], [-28], [-48], [-7], [-48], [-12], [6], [7], [-68], [-6], [-71], [-64], [-64], [-40], [-24], [24], [40], [71], [16], [-6], [61], [-65], [-61], [56], [-49], [-49], [-24], [12], [12], [4], [-41], [-59], [-56], [-17], [60], [36], [-12], [56], [24], [-24], [-72], [65], [36], [1], [12], [76], [24], [6], [0], [-59], [-32], [24], [-73], [24], [-59], [-36], [-38], [68], [-24], [0], [31], [4], [37], [28], [0], [35], [-4], [64], [37], [36], [-53], [88], [-18], [23], [53], [52], [-36], [65], [-80], [-7], [-4], [-49], [-48], [-37], [-12], [49], [-60], [61], [-12], [-4], [-89], [52], [64], [-35], [25], [36], [24], [47], [90], [-76], [-67], [23], [-56], [36], [4], [-44], [-68], [25], [-40], [76], [-24], [48], [-7], [-48], [-52], [-25], [48], [37], [-20], [-72], [-60], [-77], [-60], [8], [-71], [-96], [43], [-56], [52], [12], [12], [-24], [-16], [5], [54], [48], [92], [-23], [-84], [60], [7], [8], [55], [25], [-12], [85], [24], [30], [84], [-11], [12], [60], [-12], [47], [-60], [1], [72], [-19], [-48], [40], [-73], [71], [-96], [88], [-11], [36], [12], [24], [65], [8], [16], [6], [60], [-84], [-60], [-107], [-52]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 76561193698856464, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3600.2.a.r', 'level': 3600, 'maxp': 2999, 'weight': 2}
• 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

  
  {'ALdims': [4, 6, 7, 7, 5, 4, 6, 7], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 1, 2], 'ALdims_eis_old': [17, 18, 18, 18, 18, 18, 17, 16], 'ALdims_old': [75, 76, 77, 73, 79, 76, 72, 75], 'Nk2': 14400, 'analytic_conductor': 28.746144727660937, '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': [3600, 1, [3151, 901, 2801, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 649, 'dim': 46, 'eis_dim': 143, 'eis_new_dim': 3, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33558032, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2], 'label': '3600.2.a', 'level': 3600, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 792, 'mf_new_dim': 49, 'num_forms': 45, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 46, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, 2], 'traces': [46, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -2, 0, 8, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 2, 0, 2, 0, 0, 0, -22, 0, 42, 0, 0, 0, -2, 0, 0, 0, 0, 0, -28, 0, -8, 0, 0, 0, 0, 0, -18, 0, 0, 0, -20, 0, 20, 0, 0, 0, -16, 0, 20, 0, 0, 0, -10, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 0, 0, 12, 0, 0, 0, 38, 0, 14, 0, 0, 0, 42, 0, 12, 0, 0, 0, 14, 0, 0, 0, 0, 0, 28, 0, 26, 0, 0, 0, 0, 0, 42, 0, 0, 0, 8, 0, 24, 0, 0, 0, 6, 0, 56, 0, 0, 0, 32, 0, 0, 0, 0, 0, 18, 0, -8, 0, 0, 0, 0, 0, -20, 0, 0, 0, -36, 0, 66, 0, 0, 0, -62, 0, 42, 0, 0, 0, 46, 0, 0, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, -48, 0, 0, 0, 12, 0, 0, 0, 0, 0, 22, 0, -52, 0, 0, 0, -20, 0, 0, 0, 0, 0, -36, 0, 60, 0, 0, 0, 0, 0, -8, 0, 0, 0, 4, 0, 6, 0, 0, 0, 90, 0, -8, 0, 0, 0, -34, 0, 0, 0, 0, 0, 120, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 12, 0, -16, 0, 0, 0, -18, 0, 60, 0, 0, 0, 46, 0, 0, 0, 0, 0, 58, 0, 104, 0, 0, 0, 0, 0, -16, 0, 0, 0, -2, 0, -30, 0, 0, 0, -100, 0, 10, 0, 0, 0, -42, 0, 0, 0, 0, 0, -148, 0, 20, 0, 0, 0, 0, 0, -82, 0, 0, 0, 84, 0, 40, 0, 0, 0, 14, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 4, 0, 52, 0, 0, 0, 0, 0, -20, 0, 0, 0, 104, 0, -116, 0, 0, 0, 98, 0, -12, 0, 0, 0, 54, 0, 0, 0, 0, 0, 112, 0, -22, 0, 0, 0, 0, 0, 58, 0, 0, 0, 76, 0, 20, 0, 0, 0, 20, 0, 24, 0, 0, 0, 22, 0, 0, 0, 0, 0, -6, 0, -140, 0, 0, 0, 0, 0, 52, 0, 0, 0, -98, 0, 16, 0, 0, 0, -96, 0, -56, 0, 0, 0, 40, 0, 0, 0, 0, 0, 32, 0, -52, 0, 0, 0, 0, 0, -28, 0, 0, 0, -4, 0, -40, 0, 0, 0, -8, 0, -148, 0, 0, 0, -58, 0, 0, 0, 0, 0, 2, 0, -60, 0, 0, 0, 0, 0, -52, 0, 0, 0, -58, 0, 78, 0, 0, 0, 114, 0, -28, 0, 0, 0, -80, 0, 0, 0, 0, 0, -24, 0, 24, 0, 0, 0, 0, 0, 122, 0, 0, 0, -88, 0, -68, 0, 0, 0, -24, 0, 76, 0, 0, 0, 30, 0, 0, 0, 0, 0, -106, 0, -76, 0, 0, 0, 0, 0, 16, 0, 0, 0, 86, 0, 122, 0, 0, 0, -120, 0, -54, 0, 0, 0, -92, 0, 0, 0, 0, 0, -268, 0, 72, 0, 0, 0, 0, 0, -34, 0, 0, 0, -80, 0, 0, 0, 0, 0, -74, 0, 4, 0, 0, 0, -66, 0, 0, 0, 0, 0, -54, 0, 24, 0, 0, 0, 0, 0, 16, 0, 0, 0, 4, 0, -16, 0, 0, 0, 90, 0, 24, 0, 0, 0, 102, 0, 0, 0, 0, 0, 232, 0, -132, 0, 0, 0, 0, 0, 50, 0, 0, 0, -60, 0, 44, 0, 0, 0, 30, 0, -12, 0, 0, 0, 52, 0, 0, 0, 0, 0, 92, 0, 104, 0, 0, 0, 0, 0, 56, 0, 0, 0, -90, 0, -118, 0, 0, 0, -118, 0, -48, 0, 0, 0, 110, 0, 0, 0, 0, 0, -56, 0, -16, 0, 0, 0, 0, 0, -132, 0, 0, 0, -192, 0, -104, 0, 0, 0, 70, 0, -76, 0, 0, 0, -74, 0, 0, 0, 0, 0, 36, 0, -36, 0, 0, 0, 0, 0, 60, 0, 0, 0, -150, 0, -216, 0, 0, 0, 140, 0, 8, 0, 0, 0, -120, 0, 0, 0, 0, 0, -56, 0, 20, 0, 0, 0, 0, 0, 66, 0, 0, 0, -84, 0, -8, 0, 0, 0, -48, 0, -4, 0, 0, 0, 22, 0, 0, 0, 0, 0, 44, 0, -48, 0, 0, 0, 0, 0, -32, 0, 0, 0, 102, 0, -44, 0, 0, 0, -104, 0, -16, 0, 0, 0, -122, 0, 0, 0, 0, 0, 4, 0, -32, 0, 0, 0, 0, 0, 46, 0, 0, 0, 68, 0, 56, 0, 0, 0, 46, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, -56, 0, 0, 0, 0, 0, 104, 0, 0, 0, 26, 0, 94, 0, 0, 0, 82, 0, 52, 0, 0, 0, 86, 0, 0, 0, 0, 0, 232, 0, -90, 0, 0, 0, 0, 0, 74, 0, 0, 0, 212, 0, 12, 0, 0, 0, 54, 0, -32, 0, 0, 0, 22, 0, 0, 0, 0, 0, -168, 0, -100, 0, 0, 0, 0, 0, 12, 0, 0, 0, 6, 0, 202, 0, 0, 0, -78, 0, -4, 0, 0, 0, 72, 0, 0, 0, 0, 0, -192, 0, 28, 0, 0, 0, 0, 0, 22, 0, 0, 0, 220, 0, -80, 0, 0, 0, 16, 0, -44, 0, 0, 0, -24, 0, 0, 0, 0, 0, 14, 0, 160, 0, 0, 0, 0, 0, -24, 0, 0, 0, -202, 0, -20, 0, 0, 0, 82, 0, -120, 0, 0, 0, -114, 0, 0, 0, 0, 0, -20, 0, -50, 0, 0, 0, 0, 0, -14, 0, 0, 0, 84, 0, -104, 0, 0, 0, -42, 0, -196, 0, 0, 0, -2, 0, 0, 0, 0, 0, -44, 0, 128, 0, 0, 0, 0, 0, -140, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1123169
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1800.2.a.k', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1123170
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1800.2.a.l', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1123171
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '1800.2.a.o', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1123172
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '1800.2.a.p', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1123173
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1800.2.f.b', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1123174
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1800.2.f.i', 'target_level': 1800, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1123175
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '3600.2.a.p', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1123176
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '3600.2.a.r', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1123177
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '3600.2.a.w', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1123178
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '3600.2.a.y', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1123179
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3600.2.f.d', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1123180
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '3600.2.a.r', 'source_level': 3600, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '3600.2.f.s', 'target_level': 3600, 'twist_class_label': '1800.2.a.k', 'twist_class_level': 1800, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3262150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 2}
  • id: 3262151
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 3}
  • id: 3262152
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 5}
  • id: 3262153
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 7}
  • id: 3262154
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 11}
  • id: 3262155
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 13}
  • id: 3262156
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 17}
  • id: 3262157
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 19}
  • id: 3262158
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 23}
  • id: 3262159
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 29}
  • id: 3262160
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 31}
  • id: 3262161
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 37}
  • id: 3262162
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 41}
  • id: 3262163
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 43}
  • id: 3262164
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 47}
  • id: 3262165
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 53}
  • id: 3262166
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 59}
  • id: 3262167
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 61}
  • id: 3262168
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 67}
  • id: 3262169
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 71}
  • id: 3262170
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 73}
  • id: 3262171
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 79}
  • id: 3262172
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 83}
  • id: 3262173
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698856464, 'p': 89}
  • id: 3262174
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 76561193698856464, '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': 18, 'label': '3600.2.a.r', 'level': 3600, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 62241445
    {'hecke_orbit_code': 76561193698856464, 'n': 1, 'trace_an': 1}
  • id: 62241446
    {'hecke_orbit_code': 76561193698856464, 'n': 2, 'trace_an': 0}
  • id: 62241447
    {'hecke_orbit_code': 76561193698856464, 'n': 3, 'trace_an': 0}
  • id: 62241448
    {'hecke_orbit_code': 76561193698856464, 'n': 4, 'trace_an': 0}
  • id: 62241449
    {'hecke_orbit_code': 76561193698856464, 'n': 5, 'trace_an': 0}
  • id: 62241450
    {'hecke_orbit_code': 76561193698856464, 'n': 6, 'trace_an': 0}
  • id: 62241451
    {'hecke_orbit_code': 76561193698856464, 'n': 7, 'trace_an': -1}
  • id: 62241452
    {'hecke_orbit_code': 76561193698856464, 'n': 8, 'trace_an': 0}
  • id: 62241453
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  • id: 62241454
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  • id: 62241457
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  • id: 62241461
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  • id: 62241462
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  • id: 62241463
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  • id: 62241464
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  • id: 62241466
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  • id: 62241467
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  • id: 62241468
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  • id: 62241469
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  • id: 62241470
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  • id: 62241471
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  • id: 62241472
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  • id: 62241473
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  • id: 62241474
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  • id: 62241475
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  • id: 62241476
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  • id: 62241477
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  • id: 62241478
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  • id: 62241479
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  • id: 62241480
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  • id: 62241481
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  • id: 62241482
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  • id: 62241483
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  • id: 62241484
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  • id: 62241485
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  • id: 62241486
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  • id: 62241487
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  • id: 62241488
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  • id: 62241489
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  • id: 62241490
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  • id: 62241491
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  • id: 62241492
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  • id: 62241493
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  • id: 62241494
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  • id: 62241495
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  • id: 62241496
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  • id: 62241497
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  • id: 62241498
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  • id: 62241499
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  • id: 62241500
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  • id: 62241501
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  • id: 62241502
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  • id: 62241503
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  • id: 62241504
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  • id: 62241505
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  • id: 62241506
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  • id: 62241507
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  • id: 62241508
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  • id: 62241509
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  • id: 62241510
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  • id: 62241511
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  • id: 62241512
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  • id: 62241513
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  • id: 62241514
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  • id: 62241515
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  • id: 62241516
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  • id: 62241517
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  • id: 62241518
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  • id: 62241519
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  • id: 62241520
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  • id: 62241521
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  • id: 62241522
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  • id: 62241523
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  • id: 62241524
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  • id: 62241525
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  • id: 62241526
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  • id: 62241527
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  • id: 62241528
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  • id: 62241529
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  • id: 62241530
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  • id: 62241531
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  • id: 62241532
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  • id: 62241533
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  • id: 62241534
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  • id: 62241535
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  • id: 62241536
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  • id: 62241537
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  • id: 62241538
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  • id: 62241539
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  • id: 62241540
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  • id: 62241541
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  • id: 62241542
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  • id: 62241543
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  • id: 62241544
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