Embedded newform data - 1008.2.r.i.673.3

Formats: - HTML - YAML - JSON - 2026-10-23T10:46:35.583325

• 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': 4032, 'analytic_conductor': 8.048920523745062, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [1008, 3, [127, 757, 785, 577], [3, 3, 1, 3]], 'cm_discs': [], 'conrey_index': 337, 'dim': 6, 'field_disc': -19683, 'field_disc_factorization': [[-1, 1], [3, 9]], 'field_poly': [1, 0, 0, -1, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 18, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [1, 0, 3, -2, 9, -3, 1]], [11, [81, 81, 81, 18, 9, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36029965283623920, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 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': False, 'label': '1008.2.r.i', 'level': 1008, '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, 7], 'level_radical': 42, 'minimal_twist': '504.2.r.c', 'nf_label': '6.0.19683.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(-\\beta_{5}+\\beta_{4})q^{3}+(-\\beta_{5}+\\beta_{3}-\\beta_{2}+\\cdots+1)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1008.2.r', 'trace_display': [0, 0, 3, 3], 'trace_hash': 1926349621114017257, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.032', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.759', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '120.919', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '4416.903', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [6, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 3, 0, -9, 0, 12, 0, 18, 0, 0, 0, 6, 0, 6, 0, 27, 0, 3, 0, -9, 0, -18, 0, 6, 0, -30, 0, -18, 0, -6, 0, -15, 0, 9, 0, 9, 0, -3, 0, -9, 0, -12, 0, 0, 0, 27, 0, 3, 0, 12, 0, 0, 0, -15, 0, -12, 0, -27, 0, -42, 0, 6, 0, -9, 0, 0, 0, -15, 0, 0, 0, -6, 0, 15, 0, 9, 0, -36, 0, 6, 0, 9, 0, -6, 0, -15, 0, 0, 0, 9, 0, -6, 0, -9, 0, 6, 0, -18, 0, -27, 0, 12, 0, -9, 0, 18, 0, 6, 0, 15, 0, 27, 0, 12, 0, 60, 0, 18, 0, 3, 0, 9, 0, 0, 0, 33, 0, -3, 0, -27, 0, 0, 0, -36, 0, 0, 0, 18, 0, -3, 0, 0, 0, 21, 0, -9, 0, 18, 0, 12, 0, 12, 0, 9, 0, 21, 0, 12, 0, 36, 0, 27, 0, -6, 0, -63, 0, 6, 0, 42, 0, 9, 0, -3, 0, -9, 0, 27, 0, -9, 0, 9, 0, -18, 0, -102, 0, 36, 0, 54, 0, -3, 0, 24, 0, 72, 0, -9, 0, -21, 0, -36, 0, -54, 0, -18, 0, -45, 0, 24, 0, -3, 0, 45, 0, 33, 0, 45, 0, -9, 0, 18, 0, 12, 0, 45, 0, 39, 0, 12, 0, 0, 0, 3, 0, -21, 0, -45, 0, -60, 0, -90, 0, -54, 0, 24, 0, -15, 0, 63, 0, 15, 0, -15, 0, 27, 0, -54, 0, 0, 0, -18, 0, -9, 0, 6, 0, 9, 0, 6, 0, -15, 0, 9, 0, -12, 0, -42, 0, -99, 0, 33, 0, -24, 0, 0, 0, -12, 0, 15, 0, 9, 0, -18, 0, -36, 0, -81, 0, 12, 0, 21, 0, -9, 0, 48, 0, 9, 0, -18, 0, 0, 0, -48, 0, 27, 0, -9, 0, -6, 0, -45, 0, 33, 0, -3, 0, -18, 0, -36, 0, -6, 0, -27, 0, 33, 0, 24, 0, 0, 0, 6, 0, 12, 0, 9, 0, 12, 0, 24, 0, -27, 0, 12, 0, 9, 0, -27, 0, -6, 0, 33, 0, -36, 0, -78, 0, 30, 0, -63, 0, 21, 0, 0, 0, 36, 0, -27, 0, 39, 0, -27, 0, -84, 0, 18, 0, 9, 0, -36, 0, 33, 0, -27, 0, 18, 0, 24, 0, -36, 0, 6, 0, 66, 0, 90, 0, 0, 0, -9, 0, 9, 0, -15, 0, -12, 0, 27, 0, 42, 0, -42, 0, 18, 0, 33, 0, -21, 0, 0, 0, 18, 0, -42, 0, -27, 0, 168, 0, 0, 0, 9, 0, 15, 0, 45, 0, 54, 0, 54, 0, -54, 0, 9, 0, -66, 0, -24, 0, 72, 0, 18, 0, 51, 0, 27, 0, -9, 0, 9, 0, 18, 0, -72, 0, -78, 0, 117, 0, -3, 0, -21, 0, 0, 0, -21, 0, -42, 0, 54, 0, -48, 0, 108, 0, -36, 0, 30, 0, 3, 0, 81, 0, -33, 0, -27, 0, 18, 0, 42, 0, 42, 0, -27, 0, -27, 0, -57, 0, 126, 0, 42, 0, 33, 0, -135, 0, 0, 0, -6, 0, -45, 0, -30, 0, -18, 0, 63, 0, 66, 0, 15, 0, 27, 0, 18, 0, -78, 0, -9, 0, 54, 0, -6, 0, 0, 0, 3, 0, 69, 0, 36, 0, -36, 0, 108, 0, 99, 0, 6, 0, -9, 0, 72, 0, 78, 0, 12, 0, -18, 0, -150, 0, 30, 0, -72, 0, -54, 0, -84, 0, -99, 0, -24, 0, -3, 0, -27, 0, 6, 0, 42, 0, 27, 0, 0, 0, -18, 0, 0, 0, -18, 0, -9, 0, -63, 0, -42, 0, -24, 0, 18, 0, 66, 0, 3, 0, -9, 0, -30, 0, 93, 0, 54, 0, 30, 0, -126, 0, 27, 0, 0, 0, -30, 0, -108, 0, -27, 0, -57, 0, -90, 0, -12, 0, 36, 0, -108, 0, 9, 0, 66, 0, 54, 0, 99, 0, 15, 0, -63, 0, 0, 0, 102, 0, -36, 0, -24, 0, 0, 0, 27, 0, 24, 0, -39, 0, -99, 0, -156, 0, -168, 0, -9, 0, -9, 0, -6, 0, 81, 0, -21, 0, -18, 0, 36, 0, -90, 0, -12, 0, 63, 0, -54, 0, 123, 0, 81, 0, -39, 0, 3, 0, 0, 0, 90, 0, -78, 0, 0, 0, -6, 0, -60, 0, -117, 0, 3, 0, -21, 0, -45, 0, 72, 0, -12, 0, -9, 0, 42, 0, -9, 0, 72, 0, -45, 0, -54, 0, -36, 0, 18, 0, 6, 0, -18, 0, 27, 0, -27, 0, 27, 0, 18, 0, 45, 0, 27, 0, 24, 0, -60, 0, 36, 0, 96, 0, 0, 0, 9, 0, 63, 0, 9, 0, -108, 0, 24, 0, -192, 0, -63, 0, -75, 0, -6, 0, -18, 0, -45, 0, -36, 0, -9, 0, -90, 0, 102, 0, 117, 0, -6, 0, 21, 0, 0, 0, -63, 0, 6, 0, -27, 0, -48, 0, 30, 0, -117, 0, -69, 0, -9, 0, -27, 0, -42, 0, -75, 0, 27, 0, -36, 0, 150, 0, -63, 0, 45, 0, 54, 0, 63, 0, 6, 0, 18, 0, 27, 0, 90, 0, 162, 0, -63, 0, 84, 0, 30, 0, -81, 0, 21, 0, 54, 0, -9, 0, 84, 0, -42, 0, -9, 0, 45, 0, 33, 0, -135, 0, 63, 0, -45, 0, -9, 0, 6, 0, 36, 0, -81, 0, 45, 0, -51, 0, 126, 0, 51, 0, -9, 0, 63, 0, -36, 0, 252, 0, 153, 0, -9, 0, 21, 0, 27, 0, -78, 0, 21, 0, 36, 0, -84, 0, 42, 0, 36, 0, -33, 0, 24, 0, 36, 0, 36, 0, 30, 0, 36, 0, 84, 0, -6, 0, 0, 0, -87, 0, 18, 0, 18, 0, -24, 0, -30, 0, -18, 0, 18, 0, 138, 0, 153, 0, 51, 0, -42, 0, -135, 0, 0, 0, 69, 0, 54, 0, 18, 0, -84, 0, 9, 0, 93, 0, -18, 0, 72, 0, 27, 0, -102, 0, -9, 0, 66, 0, -138, 0, 0, 0, 51, 0, -51, 0, 117, 0, -3, 0, 33, 0, 18, 0, 36, 0, 36, 0, -54, 0, -96, 0, -21, 0, -54, 0, 3, 0, 3, 0, 9, 0, 6, 0, -192, 0, -63, 0, -99, 0, 57, 0, -27, 0, -66, 0, 9, 0, 63, 0, 144, 0, -102, 0, 207, 0, -21, 0, -96, 0, 54, 0, -21, 0, -48, 0, 27, 0, 234, 0, -18, 0, -126, 0, 60, 0, -75, 0, 0, 0, 57, 0, 9, 0, 9, 0, 42, 0, 126, 0, -117, 0, -12, 0, 30, 0, -63, 0, 6, 0, 36, 0, 0, 0, -90, 0, 0, 0, 36, 0, -78, 0, 6, 0, -81, 0, -87, 0, 3, 0, 63, 0, 114, 0, 150, 0, -9, 0, -66, 0, 93, 0, -135, 0, 39, 0, 51, 0, -63, 0, 42, 0, -78, 0, -99, 0, -39, 0, -54, 0, 0, 0, -30, 0, -12, 0, 63, 0, -6, 0, 114, 0, 171, 0, -90, 0, -3, 0, 45, 0, 9, 0, -57, 0, -117, 0, 18, 0, 42, 0, 36, 0, -27, 0, -27, 0, 81, 0, 12, 0, 6, 0, 81, 0, -138, 0, -12, 0, 0, 0, 39, 0, 57, 0, -54, 0, 6, 0, -93, 0, 0, 0, -24, 0, -108, 0, -18, 0, -36, 0, 30, 0, -207, 0, 3, 0, -9, 0, 63, 0, -228, 0, -114, 0, -45, 0, -27, 0, 21, 0, 81, 0, -54, 0, -6, 0, -9, 0, -156, 0, 60, 0, -27, 0, -138, 0, -30, 0, 27, 0, -84, 0, -66, 0, 90, 0, -6, 0, -108, 0, -72, 0, 75, 0, -72, 0, -9, 0, 54, 0, 9, 0, 54, 0, 198, 0, -84, 0, 9, 0, 66, 0, 39, 0, 0, 0, 6, 0, 126, 0, -18, 0, -54, 0, 174, 0, 144, 0, 9, 0, -72, 0, -45, 0, -48, 0, 54, 0, 27, 0, -264, 0, 18, 0, -36, 0, 42, 0, -174, 0, -117, 0, -63, 0, -6, 0, -45, 0, -48, 0, 12, 0, -63, 0, 9, 0, 27, 0, -81, 0, -51, 0, 75, 0, -45, 0, 102, 0, -90, 0, -63, 0, 63, 0, 18, 0, -81, 0, 18, 0, 42, 0, -81, 0, 72, 0, -66, 0, 9, 0, -48, 0, 24, 0, -189, 0, -27, 0, -51, 0, 90, 0, -6, 0, 150, 0, 54, 0, 90, 0, 108, 0, -54, 0, 66, 0, -24, 0, 99, 0, 228, 0, 54, 0, 63, 0, 33, 0, -18, 0, 63, 0, -63, 0, -45, 0, 126, 0, -96, 0, -84, 0, 54, 0, 9, 0, -12, 0, 108, 0, 0, 0, -36, 0, -117, 0, -156, 0, -42, 0, -18, 0, -99, 0, 66, 0, 0, 0, -75, 0, 66, 0, 27, 0, 60, 0, -174, 0, 126, 0, 15, 0, 45, 0, -36, 0, -27, 0, -36, 0, 135, 0, 150, 0, -162, 0, -99, 0, -6, 0, -9, 0, 108, 0, 96, 0, -72, 0, 9, 0, 234, 0, 162, 0, -63, 0, -15, 0, 30, 0, 135, 0, 147, 0, 60, 0, -81, 0, 48, 0, -210, 0, -63, 0, 36, 0, -6, 0, -144, 0, 102, 0, 3, 0, 180, 0, 96, 0, -114, 0, 72, 0, -54, 0, -33, 0, 36, 0, -138, 0, 45, 0, 108, 0, -210, 0, 12, 0, 9, 0, -33, 0, 33, 0, 0, 0, 27, 0, 120, 0, 54, 0, 36, 0, 90, 0, -153, 0, -120, 0, 18, 0, -252, 0, 33, 0, -21, 0, 9, 0, 240, 0, 30, 0, 90, 0, 36, 0, 57, 0, -63, 0, 9, 0, 42, 0, 99, 0, -126, 0, 144, 0, 45, 0, 45, 0, 6, 0, 108, 0, -111, 0, 102, 0, 135, 0, -90, 0, 6, 0, -18, 0, 9, 0, 12, 0, -18, 0, -18, 0, -42, 0, 0, 0, 78, 0, 102, 0, 81, 0, -147, 0, 57, 0, 27, 0, 18, 0, -12, 0, -45, 0, -6, 0, 78, 0, -18, 0, -72, 0, 42, 0, 0, 0, -57, 0, 9, 0, 0, 0, 174, 0, -78, 0, 81, 0, -3, 0, 90, 0, -90, 0, -45, 0, -138, 0, 189, 0, 234, 0, -42, 0, 36, 0, 6, 0, -66, 0, -162, 0, -24, 0, 108, 0, 36, 0, 252, 0, -198, 0, 36, 0, 69, 0, 9, 0, -135, 0, -30, 0, -96, 0, 0, 0, 132, 0, 186, 0, -27, 0, -90, 0, -45, 0, 9, 0, -138, 0, -3, 0, 45, 0, 138, 0, 102, 0, -36, 0, 0, 0, -33, 0, -117, 0, 9, 0, 21, 0, 18, 0, 48, 0, 156, 0, -18, 0, -84, 0, 45, 0, 0, 0, -63, 0, 15, 0, -27, 0, 138, 0, 156, 0, 162, 0, -159, 0, 15, 0, 18, 0, -12, 0, -84, 0, -9, 0, 186, 0, -36, 0, 0, 0, -15, 0, -42, 0, -117, 0, 48, 0, 12, 0, -99, 0, -108, 0, -30, 0, -9, 0, -36, 0, -3, 0, -216, 0, -63, 0, 138, 0, -18, 0, 210, 0, -162, 0, -171, 0, 93, 0, -51, 0, -81, 0, -27, 0, -60, 0, 0, 0, -144, 0, 30, 0, 117, 0, -6, 0, 0, 0, -108, 0, -72, 0, 18, 0, -180, 0, 60, 0, -210, 0, 0, 0, -147, 0, -15, 0, -189, 0, -81, 0, 42, 0, 189, 0, -18, 0, -18, 0, -27, 0, 15, 0, 126, 0, 45, 0, -102, 0, -6, 0, -153, 0, 78, 0, -60, 0, 54, 0, 33, 0, -81, 0, 45, 0, -90, 0, -93, 0, 126, 0, 6, 0, 150, 0, -27, 0, -6, 0, 117, 0, 27, 0, 6, 0, -15, 0, -81, 0, -174, 0, -30, 0, -81, 0, -75, 0, 15, 0, 117, 0, 18, 0, 129, 0, -9, 0, 36, 0, 114, 0], 'weight': 2, '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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.984807753012208, 0.17364817766693036], [0.0, 0.0], [-0.11897869197002221, -0.20607713951016568], [0.0, 0.0], [0.18898223650461363, -0.3273268353539886], [0.0, 0.0], [0.9396926207859084, 0.3420201433256687], [0.0, 0.0], [-0.33568488111479633, 0.5814232694235456], [0.0, 0.0], [-0.2862499538590362, -0.4957994637480975], [0.0, 0.0], [-0.08138621856057518, -0.22360679774997896], [0.0, 0.0], [0.19771685305146233, 0.0], [0.0, 0.0], [1.8223783384148113, 0.0], [0.0, 0.0], [0.24295088015203367, -0.2895375842451115], [0.0, 0.0], [0.7090177705458325, 1.228054802054594], [0.0, 0.0], [0.47168814171420514, -0.8169878267767521], [0.0, 0.0], [0.8660254037844386, 0.5], [0.0, 0.0], [0.6940968538587353, -1.2022110162570396], [0.0, 0.0], [0.20572524446932375, 0.3563265758203969], [0.0, 0.0], [-0.4315481646793801, 0.514299075634089], [0.0, 0.0], [-0.08993943721955323, 0.0], [0.0, 0.0], [-1.6918068588281812, 0.0], [0.0, 0.0], [-0.19580650049166726, -0.5379739386832861], [0.0, 0.0], [0.20273436547865326, 0.3511462214492653], [0.0, 0.0], [0.02217781899926769, -0.038413109307797996], [0.0, 0.0], [-0.041320866083578794, -0.23434227659065843], [0.0, 0.0], [0.031070851187247697, -0.05381629289072478], [0.0, 0.0], [-0.07142857142857142, -0.12371791482634838], [0.0, 0.0], [0.19471308978625554, 0.03433317122642669], [0.0, 0.0], [0.19388088219493438, 0.0], [0.0, 0.0], [0.15975739227660352, 0.0], [0.0, 0.0], [1.7946923165924116, 0.31645267748542044], [0.0, 0.0], [0.2233439255002479, 0.38684302652830754], [0.0, 0.0], [0.6706348922878459, -1.1615737067710306], [0.0, 0.0], [0.2895375842451115, -0.24295088015203367], [0.0, 0.0], [-0.06811529017325468, 0.11797914335237418], [0.0, 0.0], [-0.25682417163979887, -0.44483251389192163], [0.0, 0.0], [0.4849967190050634, 1.3325175339759903], [0.0, 0.0], [-1.4343996729592992, 0.0], [0.0, 0.0], [-1.0640818039797015, 0.0], [0.0, 0.0], [0.606390586259919, -0.7226681596905677], [0.0, 0.0], [0.1268769591877191, 0.21975733962297234], [0.0, 0.0], [0.4197198907912951, -0.7269761757977837], [0.0, 0.0], [0.766044443118978, 0.6427876096865394], [0.0, 0.0], [-0.9618247913540563, 1.6659294066045602], [0.0, 0.0], [-0.02352409255649208, -0.040744923509797124], [0.0, 0.0], [0.8923137151656074, -1.0634180757696992], [0.0, 0.0], [-0.22242211666331996, 0.0], [0.0, 0.0], [-0.21638462591849245, 0.0], [0.0, 0.0], [0.1407243551982127, 0.38663698827440107], [0.0, 0.0], [-0.21682419097909672, -0.37555051508581294], [0.0, 0.0], [-0.6033409112161744, 1.045017112511317], [0.0, 0.0], [-0.514299075634089, 0.4315481646793801], [0.0, 0.0]], 'angles': [None, None, -0.10231434352255285, None, -0.471150529402101, -0.12953771895988495, -0.23424045166583674, -0.06758275931470448, 0.042097373709391143, -0.2945686340045818, -0.05035567372913652, -0.41046905678599194, -0.0508419360787587, -0.4131366677306085, -0.4117207911068049, -0.23454718201280148, -0.04748468300893703, -0.2996775416097566, -0.12467139671569884, -0.37728826399936444, -0.339287373175935, -0.3477308214156133, 0.28921519088262243, -0.2677364790960241, 0.186415414951144, -0.4764803213614199, -0.13431966648085097, -0.24984921353850215, -0.24047448839332417, 0.014050989132413101, -0.26002821991671177, -0.1494204958892858, -0.4033911748339, -0.15386630940217016, -0.48904838764986736, -0.48226529389759804, -0.47980786171264656, -0.08987726690054758, 0.05702316917143578, -0.42290010664826466, -0.4777102828951985, -0.2580183643585539, -0.4527146105953735, -0.044589014176796775, -0.3684988182703828, -0.2957164663050663, -0.44033413669809107, 0.20365168905320957, -0.353584878844879, -0.09599192311676268, -0.3416930274669313, 0.08199485728892636, -0.350387359958845, -0.35048352883268286, -0.016084859305034248, -0.29194277888944387, -0.3984050189898745, -0.30280623361983816, -0.392752460107785, -0.37528812678961965, -0.09452772192519582, 0.0019308077945436877, -0.38098326812410727, -0.11895321329009902, -0.3262779723870621, -0.2469113305299055, -0.28434492716205917, -0.05645864793876251, -0.1452299030373853, 0.1984293607282418, 0.16820497347856755, -0.1648372854813086, 0.25740135049441515, 0.00890170968014196, -0.20238475857155933, -0.1030151679171243, -0.4832588780026184, -0.07432601848657872, -0.45923682019251166, 0.03190520354758546, -0.0015575426176047777, -0.38126728660260073, -0.17351204457491431, -0.35500245021473886, -0.49117727411178924, -0.3351664292139213, -0.09969788732726485, -0.40979915890224017, -0.2764964588533432, -0.09923506049111222, -0.381233942059114, -0.4885187560731909, -0.2449436152136227, -0.1615652359172379, -0.4988350113707604, -0.17152068389513123, -0.06248462049727365, -0.05944025558024426, -0.16301646686767332, -0.16904033635367657], 'char_orbit_index': 18, 'conrey_index': 673, 'dual_conrey_index': 337, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 6, 'embedding_root_imag': 0.984807753012208, 'embedding_root_real': -0.17364817766693036, 'hecke_orbit': 9, 'hecke_orbit_code': 36029965283623920, 'label': '1008.2.r.i.673.3', 'level': 1008, '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

  
  {'Nk2': 4032, 'analytic_conductor': 8.048920523745062, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 3, 'char_parity': 1, 'char_values': [1008, 3, [127, 757, 785, 577], [3, 3, 1, 3]], 'conrey_index': 337, 'cusp_dim': 360, 'dim': 72, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 1168264659952, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 6, 8, 8, 10], 'label': '1008.2.r', 'level': 1008, '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, 7], 'level_radical': 42, 'mf_dim': 408, 'mf_new_dim': 72, 'num_forms': 14, 'prim_orbit_index': 3, 'relative_dim': 36, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 4, 0, -12, 0, 0, 0, -12, 0, 8, 0, 0, 0, 0, 0, 12, 0, -36, 0, 36, 0, 0, 0, 0, 0, 12, 0, 24, 0, 0, 0, 36, 0, 4, 0, 0, 0, 0, 0, 12, 0, -36, 0, -12, 0, 0, 0, 0, 0, -4, 0, -12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -80, 0, 24, 0, -68, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 4, 0, -16, 0, 0, 0, -24, 0, 32, 0, -12, 0, 20, 0, 24, 0, 36, 0, 8, 0, 128, 0, 0, 0, 92, 0, -8, 0, 36, 0, 72, 0, 20, 0, -48, 0, -40, 0, 48, 0, 0, 0, -28, 0, -32, 0, 0, 0, -24, 0, 36, 0, 24, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 24, 0, 36, 0, -56, 0, 0, 0, -112, 0, 0, 0, -72, 0, -48, 0, -12, 0, -36, 0, 88, 0, -48, 0, 0, 0, 40, 0, 96, 0, 0, 0, 140, 0, 24, 0, 0, 0, 0, 0, 100, 0, -12, 0, -72, 0, -96, 0, -120, 0, 0, 0, -24, 0, 0, 0, -140, 0, -68, 0, -36, 0, -72, 0, -64, 0, 0, 0, -40, 0, -24, 0, -36, 0, -104, 0, -52, 0, 0, 0, -12, 0, -8, 0, -48, 0, -24, 0, 52, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 64, 0, -44, 0, 0, 0, 104, 0, 32, 0, 0, 0, 116, 0, 64, 0, 72, 0, 16, 0, -120, 0, 0, 0, -212, 0, 48, 0, 0, 0, 168, 0, -56, 0, 48, 0, -8, 0, 104, 0, 36, 0, 60, 0, -4, 0, 0, 0, -80, 0, 112, 0, 72, 0, -104, 0, 60, 0, 12, 0, -40, 0, 8, 0, 36, 0, 76, 0, 32, 0, -96, 0, 92, 0, 0, 0, 60, 0, -64, 0, -76, 0, 12, 0, -48, 0, -80, 0, 0, 0, -40, 0, -12, 0, 48, 0, 96, 0, -20, 0, 84, 0, 16, 0, -200, 0, 96, 0, -88, 0, -112, 0, 48, 0, -180, 0, -48, 0, 48, 0, 108, 0, -256, 0, -72, 0, -128, 0, 0, 0, 0, 0, -28, 0, 96, 0, 24, 0, -16, 0, 40, 0, 0, 0, -24, 0, 20, 0, -36, 0, 96, 0, 60, 0, 12, 0, 124, 0, 0, 0, -168, 0, 8, 0, 124, 0, 0, 0, -88, 0, 52, 0, 0, 0, -16, 0, 32, 0, 24, 0, -12, 0, -24, 0, 0, 0, 4, 0, -84, 0, 48, 0, 196, 0, 184, 0, -96, 0, -48, 0, 40, 0, 12, 0, 108, 0, -160, 0, -108, 0, 176, 0, 72, 0, 0, 0, -60, 0, 36, 0, -72, 0, -112, 0, -36, 0, 0, 0, 28, 0, -16, 0, 0, 0, 80, 0, -88, 0, 48, 0, 92, 0, -8, 0, 36, 0, -120, 0, 392, 0, 48, 0, -20, 0, 56, 0, 36, 0, -160, 0, 80, 0, 0, 0, -140, 0, -24, 0, 144, 0, 80, 0, 132, 0, -60, 0, 240, 0, 72, 0, 24, 0, -160, 0, 24, 0, 96, 0, -80, 0, -104, 0, 48, 0, 192, 0, 8, 0, -24, 0, 180, 0, 272, 0, 144, 0, 164, 0, 48, 0, -48, 0, 96, 0, 4, 0, 84, 0, 128, 0, -24, 0, -24, 0, 8, 0, 0, 0, 84, 0, 96, 0, 176, 0, -48, 0, 172, 0, 112, 0, 0, 0, 88, 0, -72, 0, -12, 0, -164, 0, 8, 0, 12, 0, -24, 0, 272, 0, -96, 0, 116, 0, 132, 0, 24, 0, -96, 0, 44, 0, -60, 0, -184, 0, -128, 0, -96, 0, 144, 0, 8, 0, 0, 0, 260, 0, -108, 0, -84, 0, 88, 0, 8, 0, -168, 0, 40, 0, -56, 0, -156, 0, 20, 0, -104, 0, -48, 0, -276, 0, -16, 0, -96, 0, -80, 0, -224, 0, 48, 0, 64, 0, 80, 0, 0, 0, -140, 0, -280, 0, -96, 0, -204, 0, -24, 0, -36, 0, 32, 0, 112, 0, 60, 0, -248, 0, -16, 0, 168, 0, 48, 0, -36, 0, -48, 0, -176, 0, 136, 0, -36, 0, 64, 0, 48, 0, 0, 0, 104, 0, 120, 0, 0, 0, 160, 0, 80, 0, 0, 0, -12, 0, 8, 0, 168, 0, -56, 0, 20, 0, 0, 0, -220, 0, -16, 0, 48, 0, -4, 0, -696, 0, -48, 0, -164, 0, 32, 0, 48, 0, -224, 0, -128, 0, 72, 0, 88, 0, -144, 0, -72, 0, -48, 0, -100, 0, 24, 0, -320, 0, -144, 0, 0, 0, -152, 0, -128, 0, 48, 0, -20, 0, -40, 0, 36, 0, -120, 0, 44, 0, 24, 0, -160, 0, -248, 0, -48, 0, 256, 0, -156, 0, 84, 0, -100, 0, -40, 0, 48, 0, -96, 0, 176, 0, -48, 0, -188, 0, -4, 0, -36, 0, 24, 0, -292, 0, -36, 0, 4, 0, 320, 0, 0, 0, 16, 0, 120, 0, 120, 0, 412, 0, -48, 0, -168, 0, 0, 0, -232, 0, 48, 0, 92, 0, 48, 0, -96, 0, 96, 0, -72, 0, 96, 0, 220, 0, 192, 0, 0, 0, 264, 0, 36, 0, 0, 0, -340, 0, -96, 0, -300, 0, -32, 0, -264, 0, 96, 0, -16, 0, -32, 0, -216, 0, 16, 0, 120, 0, 0, 0, 124, 0, -80, 0, 144, 0, -132, 0, 368, 0, 24, 0, -56, 0, 80, 0, 0, 0, -208, 0, 512, 0, -144, 0, -24, 0, 0, 0, -72, 0, -40, 0, -48, 0, 120, 0, 508, 0, -184, 0, 624, 0, -24, 0, 72, 0, -36, 0, 32, 0, 248, 0, 156, 0, -212, 0, 112, 0, 0, 0, -220, 0, -180, 0, 108, 0, 224, 0, -268, 0, 0, 0, 112, 0, -272, 0, 432, 0, -8, 0, -80, 0, 72, 0, 296, 0], 'weight': 2, '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: 46733735
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 673, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029965283623920, 'target_is_minimal': False, 'target_label': '1008.2.r.i.673.3', 'target_level': 1008, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46733736
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 2017, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31526365656255440, 'target_is_minimal': False, 'target_label': '3024.2.r.h.2017.3', 'target_level': 3024, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46733737
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 169, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008367519400440, 'target_is_minimal': True, 'target_label': '504.2.r.c.169.1', 'target_level': 504, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46733738
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 243194379911570288, 'target_is_minimal': False, 'target_label': '9072.2.a.cc.1.1', 'target_level': 9072, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46733739
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029965283623920, 'target_is_minimal': False, 'target_label': '1008.2.r.i.337.3', 'target_level': 1008, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46733740
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1009, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31526365656255440, 'target_is_minimal': False, 'target_label': '3024.2.r.h.1009.3', 'target_level': 3024, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46733741
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 193654784010494832, 'target_is_minimal': False, 'target_label': '9072.2.a.br.1.3', 'target_level': 9072, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46733742
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 505, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008367519401448, 'target_is_minimal': False, 'target_label': '1512.2.r.c.505.3', 'target_level': 1512, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46733743
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 81064793326227896, 'target_is_minimal': False, 'target_label': '4536.2.a.s.1.3', 'target_level': 4536, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46733744
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 94575592208339384, 'target_is_minimal': False, 'target_label': '4536.2.a.v.1.1', 'target_level': 4536, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46733745
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 1009, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008367519401448, 'target_is_minimal': False, 'target_label': '1512.2.r.c.1009.3', 'target_level': 1512, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 46733746
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 673, 'source_dim': 6, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36029965283623920, 'source_is_minimal': False, 'source_label': '1008.2.r.i.673.3', 'source_level': 1008, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008367519400440, 'target_is_minimal': True, 'target_label': '504.2.r.c.337.1', 'target_level': 504, 'twist_class_label': '504.2.r.c.169.1', 'twist_class_level': 504, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1590800
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 36029965283623920, 'p': 2}
  • id: 1590801
    {'charpoly_factorization': [[[27, 0, 0, -9, 0, 0, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 3}
  • id: 1590802
    {'charpoly_factorization': [[[1, 0, 3, -2, 9, -3, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 5}
  • id: 1590803
    {'charpoly_factorization': [[[1, -1, 1], 3]], 'hecke_orbit_code': 36029965283623920, 'p': 7}
  • id: 1590804
    {'charpoly_factorization': [[[81, 81, 81, 18, 9, 0, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 11}
  • id: 1590805
    {'charpoly_factorization': [[[9, -27, 90, 21, 18, -3, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 13}
  • id: 1590806
    {'charpoly_factorization': [[[1, 3, -6, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 17}
  • id: 1590807
    {'charpoly_factorization': [[[19, 6, -9, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 19}
  • id: 1590808
    {'charpoly_factorization': [[[72361, -12105, 3639, -268, 81, -6, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 23}
  • id: 1590809
    {'charpoly_factorization': [[[361, -684, 1353, 70, 45, -3, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 29}
  • id: 1590810
    {'charpoly_factorization': [[[5329, -438, 693, 200, 75, 9, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 31}
  • id: 1590811
    {'charpoly_factorization': [[[57, 54, 15, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 37}
  • id: 1590812
    {'charpoly_factorization': [[[361, 285, 339, -52, 51, 6, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 41}
  • id: 1590813
    {'charpoly_factorization': [[[289, -918, 3171, 844, 171, 15, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 43}
  • id: 1590814
    {'charpoly_factorization': [[[1, -6, 27, -52, 75, -9, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 47}
  • id: 1590815
    {'charpoly_factorization': [[[-19, 3, 6, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 53}
  • id: 1590816
    {'charpoly_factorization': [[[239121, -70416, 22203, -546, 153, -3, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 59}
  • id: 1590817
    {'charpoly_factorization': [[[5329, 657, 957, -254, 135, -12, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 61}
  • id: 1590818
    {'charpoly_factorization': [[[106929, 14715, 5949, 114, 189, 12, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 67}
  • id: 1590819
    {'charpoly_factorization': [[[-867, 36, 21, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 71}
  • id: 1590820
    {'charpoly_factorization': [[[-37, -114, -3, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 73}
  • id: 1590821
    {'charpoly_factorization': [[[877969, 39354, 15819, 1244, 267, 15, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 79}
  • id: 1590822
    {'charpoly_factorization': [[[294849, -92853, 25983, -2112, 207, 6, 1], 1]], 'hecke_orbit_code': 36029965283623920, 'p': 83}
  • id: 1590823
    {'charpoly_factorization': [[[37, 51, 18, 1], 2]], 'hecke_orbit_code': 36029965283623920, 'p': 89}
  • id: 1590824
    {'charpoly_factorization': [[[10374841, 753714, 103071, 2932, 459, 15, 1], 1]], 'hecke_orbit_code': 36029965283623920, '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': 18, 'hecke_orbit': 9, 'label': '1008.2.r.i', 'level': 1008, '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: 52256329
    {'hecke_orbit_code': 36029965283623920, 'n': 1, 'trace_an': 6}
  • id: 52256330
    {'hecke_orbit_code': 36029965283623920, 'n': 2, 'trace_an': 0}
  • id: 52256331
    {'hecke_orbit_code': 36029965283623920, 'n': 3, 'trace_an': 0}
  • id: 52256332
    {'hecke_orbit_code': 36029965283623920, 'n': 4, 'trace_an': 0}
  • id: 52256333
    {'hecke_orbit_code': 36029965283623920, 'n': 5, 'trace_an': 3}
  • id: 52256334
    {'hecke_orbit_code': 36029965283623920, 'n': 6, 'trace_an': 0}
  • id: 52256335
    {'hecke_orbit_code': 36029965283623920, 'n': 7, 'trace_an': 3}
  • id: 52256336
    {'hecke_orbit_code': 36029965283623920, 'n': 8, 'trace_an': 0}
  • id: 52256337
    {'hecke_orbit_code': 36029965283623920, 'n': 9, 'trace_an': 0}
  • id: 52256338
    {'hecke_orbit_code': 36029965283623920, 'n': 10, 'trace_an': 0}
  • id: 52256339
    {'hecke_orbit_code': 36029965283623920, 'n': 11, 'trace_an': 0}
  • id: 52256340
    {'hecke_orbit_code': 36029965283623920, 'n': 12, 'trace_an': 0}
  • id: 52256341
    {'hecke_orbit_code': 36029965283623920, 'n': 13, 'trace_an': 3}
  • id: 52256342
    {'hecke_orbit_code': 36029965283623920, 'n': 14, 'trace_an': 0}
  • id: 52256343
    {'hecke_orbit_code': 36029965283623920, 'n': 15, 'trace_an': -9}
  • id: 52256344
    {'hecke_orbit_code': 36029965283623920, 'n': 16, 'trace_an': 0}
  • id: 52256345
    {'hecke_orbit_code': 36029965283623920, 'n': 17, 'trace_an': 12}
  • id: 52256346
    {'hecke_orbit_code': 36029965283623920, 'n': 18, 'trace_an': 0}
  • id: 52256347
    {'hecke_orbit_code': 36029965283623920, 'n': 19, 'trace_an': 18}
  • id: 52256348
    {'hecke_orbit_code': 36029965283623920, 'n': 20, 'trace_an': 0}
  • id: 52256349
    {'hecke_orbit_code': 36029965283623920, 'n': 21, 'trace_an': 0}
  • id: 52256350
    {'hecke_orbit_code': 36029965283623920, 'n': 22, 'trace_an': 0}
  • id: 52256351
    {'hecke_orbit_code': 36029965283623920, 'n': 23, 'trace_an': 6}
  • id: 52256352
    {'hecke_orbit_code': 36029965283623920, 'n': 24, 'trace_an': 0}
  • id: 52256353
    {'hecke_orbit_code': 36029965283623920, 'n': 25, 'trace_an': 6}
  • id: 52256354
    {'hecke_orbit_code': 36029965283623920, 'n': 26, 'trace_an': 0}
  • id: 52256355
    {'hecke_orbit_code': 36029965283623920, 'n': 27, 'trace_an': 27}
  • id: 52256356
    {'hecke_orbit_code': 36029965283623920, 'n': 28, 'trace_an': 0}
  • id: 52256357
    {'hecke_orbit_code': 36029965283623920, 'n': 29, 'trace_an': 3}
  • id: 52256358
    {'hecke_orbit_code': 36029965283623920, 'n': 30, 'trace_an': 0}
  • id: 52256359
    {'hecke_orbit_code': 36029965283623920, 'n': 31, 'trace_an': -9}
  • id: 52256360
    {'hecke_orbit_code': 36029965283623920, 'n': 32, 'trace_an': 0}
  • id: 52256361
    {'hecke_orbit_code': 36029965283623920, 'n': 33, 'trace_an': -18}
  • id: 52256362
    {'hecke_orbit_code': 36029965283623920, 'n': 34, 'trace_an': 0}
  • id: 52256363
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  • id: 52256364
    {'hecke_orbit_code': 36029965283623920, 'n': 36, 'trace_an': 0}
  • id: 52256365
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  • id: 52256366
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  • id: 52256367
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  • id: 52256368
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  • id: 52256369
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  • id: 52256370
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  • id: 52256371
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  • id: 52256372
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  • id: 52256373
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  • id: 52256374
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  • id: 52256375
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  • id: 52256376
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  • id: 52256377
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  • id: 52256378
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  • id: 52256379
    {'hecke_orbit_code': 36029965283623920, 'n': 51, 'trace_an': -9}
  • id: 52256380
    {'hecke_orbit_code': 36029965283623920, 'n': 52, 'trace_an': 0}
  • id: 52256381
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  • id: 52256382
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  • id: 52256383
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  • id: 52256384
    {'hecke_orbit_code': 36029965283623920, 'n': 56, 'trace_an': 0}
  • id: 52256385
    {'hecke_orbit_code': 36029965283623920, 'n': 57, 'trace_an': 27}
  • id: 52256386
    {'hecke_orbit_code': 36029965283623920, 'n': 58, 'trace_an': 0}
  • id: 52256387
    {'hecke_orbit_code': 36029965283623920, 'n': 59, 'trace_an': 3}
  • id: 52256388
    {'hecke_orbit_code': 36029965283623920, 'n': 60, 'trace_an': 0}
  • id: 52256389
    {'hecke_orbit_code': 36029965283623920, 'n': 61, 'trace_an': 12}
  • id: 52256390
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  • id: 52256391
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  • id: 52256392
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  • id: 52256393
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  • id: 52256394
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  • id: 52256395
    {'hecke_orbit_code': 36029965283623920, 'n': 67, 'trace_an': -12}
  • id: 52256396
    {'hecke_orbit_code': 36029965283623920, 'n': 68, 'trace_an': 0}
  • id: 52256397
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  • id: 52256398
    {'hecke_orbit_code': 36029965283623920, 'n': 70, 'trace_an': 0}
  • id: 52256399
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  • id: 52256400
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  • id: 52256401
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  • id: 52256402
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  • id: 52256403
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  • id: 52256404
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  • id: 52256405
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  • id: 52256406
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  • id: 52256407
    {'hecke_orbit_code': 36029965283623920, 'n': 79, 'trace_an': -15}
  • id: 52256408
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  • id: 52256409
    {'hecke_orbit_code': 36029965283623920, 'n': 81, 'trace_an': 0}
  • id: 52256410
    {'hecke_orbit_code': 36029965283623920, 'n': 82, 'trace_an': 0}
  • id: 52256411
    {'hecke_orbit_code': 36029965283623920, 'n': 83, 'trace_an': -6}
  • id: 52256412
    {'hecke_orbit_code': 36029965283623920, 'n': 84, 'trace_an': 0}
  • id: 52256413
    {'hecke_orbit_code': 36029965283623920, 'n': 85, 'trace_an': 15}
  • id: 52256414
    {'hecke_orbit_code': 36029965283623920, 'n': 86, 'trace_an': 0}
  • id: 52256415
    {'hecke_orbit_code': 36029965283623920, 'n': 87, 'trace_an': 9}
  • id: 52256416
    {'hecke_orbit_code': 36029965283623920, 'n': 88, 'trace_an': 0}
  • id: 52256417
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  • id: 52256418
    {'hecke_orbit_code': 36029965283623920, 'n': 90, 'trace_an': 0}
  • id: 52256419
    {'hecke_orbit_code': 36029965283623920, 'n': 91, 'trace_an': 6}
  • id: 52256420
    {'hecke_orbit_code': 36029965283623920, 'n': 92, 'trace_an': 0}
  • id: 52256421
    {'hecke_orbit_code': 36029965283623920, 'n': 93, 'trace_an': 9}
  • id: 52256422
    {'hecke_orbit_code': 36029965283623920, 'n': 94, 'trace_an': 0}
  • id: 52256423
    {'hecke_orbit_code': 36029965283623920, 'n': 95, 'trace_an': -6}
  • id: 52256424
    {'hecke_orbit_code': 36029965283623920, 'n': 96, 'trace_an': 0}
  • id: 52256425
    {'hecke_orbit_code': 36029965283623920, 'n': 97, 'trace_an': -15}
  • id: 52256426
    {'hecke_orbit_code': 36029965283623920, 'n': 98, 'trace_an': 0}
  • id: 52256427
    {'hecke_orbit_code': 36029965283623920, 'n': 99, 'trace_an': 0}
  • id: 52256428
    {'hecke_orbit_code': 36029965283623920, 'n': 100, 'trace_an': 0}